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\n \n 2024\n \n \n (3)\n \n \n

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\n \n\n \n \n \n \n \n \n Relationship between outcomes and processes in patients with chronic low back pain plus depressive symptoms: idiographic analyses within a randomized controlled trial.\n \n \n \n \n\n\n \n Sanabria-Mazo, J. P.; Giné-Vázquez, I.; Cristobal-Narváez, P.; Suso-Ribera, C.; García-Palacios, A.; McCracken, L. M.; Hayes, S. C.; Hofmann, S. G.; Ciarrochi, J.; and Luciano, J. V.\n\n\n \n\n\n\n Psychotherapy Research, 0(0): 1–16. July 2024.\n Publisher: Routledge _eprint: https://doi.org/10.1080/10503307.2024.2382429\n\n\n\n
\n\n\n\n \n \n $\"Relationship$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{sanabria-mazo_relationship_2024,\n\ttitle = {Relationship between outcomes and processes in patients with chronic low back pain plus depressive symptoms: idiographic analyses within a randomized controlled trial},\n\tvolume = {0},\n\tcopyright = {All rights reserved},\n\tissn = {1050-3307},\n\tshorttitle = {Relationship between outcomes and processes in patients with chronic low back pain plus depressive symptoms},\n\turl = {https://doi.org/10.1080/10503307.2024.2382429},\n\tdoi = {10.1080/10503307.2024.2382429},\n\tabstract = {This study explored the extent to which within-patient changes in processes targeted in Acceptance and Commitment Therapy (ACT) and Behavioral Activation Therapy for Depression (BATD) are associated with changes within-patient in pain intensity and depressed mood and evaluated the extent that process-outcome relationships differed between patients. An idiographic analysis embedded within a randomized controlled trial comparing ACT, BATD, and treatment-as-usual (TAU) was conducted to examine the strength of the relationship between outcomes and process variables in patients with chronic low back pain (CLBP) plus depressive symptoms. Based on data from ecological momentary assessment in patients (n = 82), the level of heterogeneity and the pooled effects of these relationships during the intervention period (70 days) were explored. Overall, a high level of heterogeneity was identified in the relationship between pain intensity or depressed mood and psychological inflexibility or behavioral activation. Individual differences in the relationships between outcomes and process variables were identified in individual people during the intervention period. These individual differences appear independent of the group (ACT, BATD, and TAU) and other definable differences (responders/non-responders, completers/non-completers, and clinical depression/non-clinical depression). These findings suggest the potential utility of personalizing psychological interventions according to the therapeutic needs of these patients.},\n\tnumber = {0},\n\turldate = {2024-07-30},\n\tjournal = {Psychotherapy Research},\n\tauthor = {Sanabria-Mazo, Juan P. and Giné-Vázquez, Iago and Cristobal-Narváez, Paula and Suso-Ribera, Carlos and García-Palacios, Azucena and McCracken, Lance M. and Hayes, Steven C. and Hofmann, Stefan G. and Ciarrochi, Joseph and Luciano, Juan V.},\n\tmonth = jul,\n\tyear = {2024},\n\tpmid = {39079014},\n\tnote = {Publisher: Routledge\n\\_eprint: https://doi.org/10.1080/10503307.2024.2382429},\n\tkeywords = {acceptance and commitment therapy, behavioral activation therapy, chronic low back pain, pain-related outcomes, process variables},\n\tpages = {1--16},\n\tfile = {Sanabria-Mazoetal-2024-Relationship_between_outcomes_and_processes_in_patients_with_chronic_low_back.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Sanabria-Mazoetal-2024-Relationship_between_outcomes_and_processes_in_patients_with_chronic_low_back.pdf:application/pdf;tpsr_a_2382429_sm3975.docx:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/tpsr_a_2382429_sm3975.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document},\n}\n\n

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\n \n\n \n \n \n \n \n \n Divergent risk of SARS-CoV-2 infection, severe COVID-19 and mortality across psychiatric disorders: analysis from electronic health records in Catalonia.\n \n \n \n \n\n\n \n Monistrol-Mula, A.; Félez-Nobrega, M.; Giné-Vázquez, I.; and Haro, J. M.\n\n\n \n\n\n\n European Psychiatry, 67(S1: Abstracts of the 32nd European Congress of Psychiatry): S264–S265. April 2024.\n \n\n\n\n
\n\n\n\n \n \n $\"Divergent$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{monistrol-mula_divergent_2024,\n\ttitle = {Divergent risk of {SARS}-{CoV}-2 infection, severe {COVID}-19 and mortality across psychiatric disorders: analysis from electronic health records in {Catalonia}},\n\tvolume = {67},\n\tcopyright = {All rights reserved},\n\tissn = {0924-9338, 1778-3585},\n\tshorttitle = {Divergent risk of {SARS}-{CoV}-2 infection, severe {COVID}-19 and mortality across psychiatric disorders},\n\turl = {https://www.cambridge.org/core/journals/european-psychiatry/article/divergent-risk-of-sarscov2-infection-severe-covid19-and-mortality-across-psychiatric-disorders-analysis-from-electronic-health-records-in-catalonia/5D861DF2F51EAEB4677A6D0F6C9B8633},\n\tdoi = {10.1192/j.eurpsy.2024.557},\n\tabstract = {IntroductionPeople with psychiatric disorders are particularly vulnerable to SARS-CoV-2 infection and its associated complications. However, current literature show that not all psychiatric disorders are equally vulnerable to COVID-19.ObjectivesThis study aimed to assess whether individuals with distinct psychiatric disorders exhibit different risk of SARS-CoV-2 infection, COVID-19 hospitalization, and mortality.MethodsWe conducted a case-control study using data of electronic health records from Catalonia. Cases included adults with a hospital admission between 2017 and 2019 for non-affective psychosis, bipolar disorder, depressive disorder, stress-related disorders, neurotic/somatoform disorders, and substance misuse. These were matched to patients without a diagnosis by sex, 5-year age band, and living area. Outcomes included SARS-CoV-2 infection, hospitalization, and COVID-19-related death up to December 2021. Logistic regression analysis were employed to test the association between the six groups of psychiatric disorders and COVID-19 outcomes, controlling for age, sex, smoking, being in a nursing home, and physical comorbidities.Results785,378 subjects were included. Preliminary findings showed that patients diagnosed with psychosis and bipolar disorder had lower risk of infection [OR: 0.85 (95\\% CI: 0.79-0.92), p{\\textless}0.001; OR: 0.84 (95\\% CI: 0.76-0.92), p{\\textless}0.001], whereas individuals with stress-related and neurotic/somatoform disorders had higher risk of infection [OR: 1.08 (95\\% CI: 1.04-1.14), p{\\textless}0.001; OR: 1.06 (95\\% CI: 1.03-1.10), p{\\textless}0.001]. People with depressive, stress-related, and neurotic/somatoform disorders had lower risk of COVID-19 hospitalization [OR: 0.87 (95\\% CI: 0.78-0.97), p = 0.01; OR: 0.71 (95\\% CI: 0.61-0.84), p{\\textless}0.001; OR: 0.67 (95\\% CI: 0.60-0.76), p{\\textless}0.001]. In line with these results, individuals with stress-related disorders also experienced lower mortality [0.49 (95\\% CI: 0.33-0.70), p{\\textless}0.001]. Conversely, people with psychosis, bipolar disorder, and substance misuse exhibited higher risk of COVID-19-related death [OR: 2.9 (95\\% CI: 1.68-3.1), p{\\textless}0.001; OR: 1.95 (95\\% CI: 1.30-2.81), p{\\textless}0.001; OR: 1.82 (95\\% CI: 1.49-2.20), p{\\textless}0.001].ConclusionsWe found different risks of SARS-CoV-2 infection, COVID-19 hospitalization, and COVID-19 mortality for psychiatric disorder groups. Differences in vulnerability to COVID-19 among people with psychiatric disorders might be explained by factors such as shared living facilities, physical comorbidities, psychotropic medications, and difficulties in accessing high-intensity medical care. Special attention should be directed towards individuals with psychosis, bipolar disorder, and substance misuse.Disclosure of InterestNone Declared},\n\tlanguage = {en},\n\tnumber = {S1: Abstracts of the 32nd European Congress of Psychiatry},\n\turldate = {2024-09-02},\n\tjournal = {European Psychiatry},\n\tauthor = {Monistrol-Mula, A. and Félez-Nobrega, M. and Giné-Vázquez, I. and Haro, J. M.},\n\tmonth = apr,\n\tyear = {2024},\n\tpages = {S264--S265},\n\tfile = {Monistrol-Mulaetal-2024-Divergent_risk_of_SARS-CoV-2_infection,_severe_COVID-19_and_mortality_across.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Monistrol-Mulaetal-2024-Divergent_risk_of_SARS-CoV-2_infection,_severe_COVID-19_and_mortality_across.pdf:application/pdf},\n}\n\n

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\n IntroductionPeople with psychiatric disorders are particularly vulnerable to SARS-CoV-2 infection and its associated complications. However, current literature show that not all psychiatric disorders are equally vulnerable to COVID-19.ObjectivesThis study aimed to assess whether individuals with distinct psychiatric disorders exhibit different risk of SARS-CoV-2 infection, COVID-19 hospitalization, and mortality.MethodsWe conducted a case-control study using data of electronic health records from Catalonia. Cases included adults with a hospital admission between 2017 and 2019 for non-affective psychosis, bipolar disorder, depressive disorder, stress-related disorders, neurotic/somatoform disorders, and substance misuse. These were matched to patients without a diagnosis by sex, 5-year age band, and living area. Outcomes included SARS-CoV-2 infection, hospitalization, and COVID-19-related death up to December 2021. Logistic regression analysis were employed to test the association between the six groups of psychiatric disorders and COVID-19 outcomes, controlling for age, sex, smoking, being in a nursing home, and physical comorbidities.Results785,378 subjects were included. Preliminary findings showed that patients diagnosed with psychosis and bipolar disorder had lower risk of infection [OR: 0.85 (95% CI: 0.79-0.92), p\\textless0.001; OR: 0.84 (95% CI: 0.76-0.92), p\\textless0.001], whereas individuals with stress-related and neurotic/somatoform disorders had higher risk of infection [OR: 1.08 (95% CI: 1.04-1.14), p\\textless0.001; OR: 1.06 (95% CI: 1.03-1.10), p\\textless0.001]. People with depressive, stress-related, and neurotic/somatoform disorders had lower risk of COVID-19 hospitalization [OR: 0.87 (95% CI: 0.78-0.97), p = 0.01; OR: 0.71 (95% CI: 0.61-0.84), p\\textless0.001; OR: 0.67 (95% CI: 0.60-0.76), p\\textless0.001]. In line with these results, individuals with stress-related disorders also experienced lower mortality [0.49 (95% CI: 0.33-0.70), p\\textless0.001]. Conversely, people with psychosis, bipolar disorder, and substance misuse exhibited higher risk of COVID-19-related death [OR: 2.9 (95% CI: 1.68-3.1), p\\textless0.001; OR: 1.95 (95% CI: 1.30-2.81), p\\textless0.001; OR: 1.82 (95% CI: 1.49-2.20), p\\textless0.001].ConclusionsWe found different risks of SARS-CoV-2 infection, COVID-19 hospitalization, and COVID-19 mortality for psychiatric disorder groups. Differences in vulnerability to COVID-19 among people with psychiatric disorders might be explained by factors such as shared living facilities, physical comorbidities, psychotropic medications, and difficulties in accessing high-intensity medical care. Special attention should be directed towards individuals with psychosis, bipolar disorder, and substance misuse.Disclosure of InterestNone Declared\n

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\n \n\n \n \n \n \n \n \n kedd: Kernel Estimator and Bandwidth Selection for Density and Its Derivatives.\n \n \n \n \n\n\n \n Guidoum, A. C.\n\n\n \n\n\n\n February 2024.\n \n\n\n\n
\n\n\n\n \n \n $\"kedd:$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n\n\n\n

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@misc{gine-vazquez_kedd_2024,\n\ttitle = {kedd: {Kernel} {Estimator} and {Bandwidth} {Selection} for {Density} and {Its} {Derivatives}},\n\tcopyright = {All rights reserved},\n\tshorttitle = {kedd},\n\turl = {https://CRAN.R-project.org/package=kedd},\n\tabstract = {Smoothing techniques and computing bandwidth selectors of the nth derivative of a probability density for one-dimensional data (described in Arsalane Chouaib Guidoum (2020) {\\textless}arXiv:2012.06102{\\textgreater} [stat.CO]).},\n\tauthor = {Guidoum, Arsalane Chouaib},\n\tcollaborator = {Giné-Vázquez, Iago},\n\tmonth = feb,\n\tyear = {2024},\n\tkeywords = {R-project, kedd},\n}\n\n

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\n \n\n \n \n \n \n \n \n boxcoxmix: Box-Cox-Type Transformations for Linear and Logistic Models with Random Effects.\n \n \n \n \n\n\n \n Almohaimeed, A.; and Einbeck, J.\n\n\n \n\n\n\n December 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"boxcoxmix:$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n

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@misc{gine-vazquez_boxcoxmix_2023,\n\ttitle = {boxcoxmix: {Box}-{Cox}-{Type} {Transformations} for {Linear} and {Logistic} {Models} with {Random} {Effects}},\n\tcopyright = {All rights reserved},\n\tshorttitle = {boxcoxmix},\n\turl = {https://CRAN.R-project.org/package=boxcoxmix},\n\tabstract = {Box-Cox-type transformations for linear and logistic models with random effects using non-parametric profile maximum likelihood estimation, as introduced in Almohaimeed (2018) {\\textless}http://etheses.dur.ac.uk/12831/{\\textgreater} and Almohaimeed and Einbeck (2022) {\\textless}doi:10.1177/1471082X20966919{\\textgreater}. The main functions are 'optim.boxcox()' for linear models with random effects and 'boxcoxtype()' for logistic models with random effects.},\n\tauthor = {Almohaimeed, Amani and Einbeck, Jochen},\n\tcollaborator = {Giné-Vázquez, Iago},\n\tmonth = dec,\n\tyear = {2023},\n\tkeywords = {R-project, boxcoxmix, npmlreg},\n}\n\n

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\n \n\n \n \n \n \n \n \n clusterCrit: Clustering Indices.\n \n \n \n \n\n\n \n Desgraupes, B.\n\n\n \n\n\n\n November 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"clusterCrit:$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n\n\n\n

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@misc{gine-vazquez_clustercrit_2023,\n\ttitle = {{clusterCrit}: {Clustering} {Indices}},\n\tcopyright = {All rights reserved},\n\tshorttitle = {{clusterCrit}},\n\turl = {https://CRAN.R-project.org/package=clusterCrit},\n\tabstract = {Package providing functions for computing a collection of clustering validation or quality criteria and partition comparison indices.},\n\tauthor = {Desgraupes, Bernard},\n\tcollaborator = {Giné-Vázquez, Iago},\n\tmonth = nov,\n\tyear = {2023},\n\tkeywords = {R-project, clusterCrit},\n}\n\n

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\n \n\n \n \n \n \n \n \n Methodological challenges in harmonisation of the variables used as indicators of social capital in epidemiological studies of ageing – results of the ATHLOS project.\n \n \n \n \n\n\n \n Zawisza, K.; Woźniak, B.; Tobiasz-Adamczyk, B.; Galas, A.; Giné-Vázquez, I.; Sanchez-Niubo, A.; Ayuso-Mateos, J. L.; Koskinen, S.; Leonardi, M.; Bobak, M.; and Haro, J. M.\n\n\n \n\n\n\n Ageing & Society, 43(10): 2307–2334. October 2023.\n Publisher: Cambridge University Press\n\n\n\n
\n\n\n\n \n \n $\"Methodological$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{zawisza_methodological_2023,\n\ttitle = {Methodological challenges in harmonisation of the variables used as indicators of social capital in epidemiological studies of ageing – results of the {ATHLOS} project},\n\tvolume = {43},\n\tcopyright = {All rights reserved},\n\tissn = {0144-686X, 1469-1779},\n\turl = {https://www.cambridge.org/core/journals/ageing-and-society/article/methodological-challenges-in-harmonisation-of-the-variables-used-as-indicators-of-social-capital-in-epidemiological-studies-of-ageing-results-of-the-athlos-project/3B2B293F0FAEF3C8ADA898DC6E46C5B5},\n\tdoi = {10.1017/S0144686X21001677},\n\tabstract = {The present article aims to highlight methodological aspects related to understanding and conceptualising social capital for the purposes of population research as well as describing the key challenges in the harmonisation process of indicators of social capital. The study was conducted in the frame of the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project. After a review of social capital theories developed in social science and a subsequent review of the documentation of 18 international cohorts, decision trees of the harmonisation of social variables were developed. The known-group validity was verified. The results focused on generalised trust, civic engagement and social participation are presented. The summary of the availability of any indicators of these concepts is classified in seven domains (generalised trust, political participation, religious participation, senior-specific participation, participation in sport groups, participation in volunteer/charity group activities, any participation) across surveys. The results of the analysis for known-group validity support the construct validity of the harmonised variables.},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2023-10-05},\n\tjournal = {Ageing \\& Society},\n\tauthor = {Zawisza, Katarzyna and Woźniak, Barbara and Tobiasz-Adamczyk, Beata and Galas, Aleksander and Giné-Vázquez, Iago and Sanchez-Niubo, Albert and Ayuso-Mateos, José Luis and Koskinen, Seppo and Leonardi, Matilde and Bobak, Martin and Haro, Josep Maria},\n\tmonth = oct,\n\tyear = {2023},\n\tnote = {Publisher: Cambridge University Press},\n\tkeywords = {ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies, civic engagement, cohort studies, generalised trust, harmonisation, social capital, social participation},\n\tpages = {2307--2334},\n\tfile = {Zawiszaetal-2023-Methodological_challenges_in_harmonisation_of_the_variables_used_as_indicators.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Zawiszaetal-2023-Methodological_challenges_in_harmonisation_of_the_variables_used_as_indicators.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Effectiveness of a mental health stepped-care programme for healthcare workers with psychological distress in crisis settings: a multicentre randomised controlled trial.\n \n \n \n \n\n\n \n Mediavilla, R.; Felez-Nobrega, M.; McGreevy, K. R.; Monistrol-Mula, A.; Bravo-Ortiz, M.; Bayón, C.; Giné-Vázquez, I.; Villaescusa, R.; Muñoz-Sanjosé, A.; Aguilar-Ortiz, S.; Figueiredo, N.; Nicaise, P.; Park, A.; Petri-Romão, P.; Purgato, M.; Witteveen, A. B.; Underhill, J.; Barbui, C.; Bryant, R.; Kalisch, R.; Lorant, V.; McDaid, D.; Melchior, M.; Sijbrandij, M.; Haro, J. M.; and Ayuso-Mateos, J. L.\n\n\n \n\n\n\n BMJ Ment Health, 26(1). June 2023.\n Publisher: Royal College of Psychiatrists Section: Psychotherapies\n\n\n\n
\n\n\n\n \n \n $\"Effectiveness$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{mediavilla_effectiveness_2023,\n\ttitle = {Effectiveness of a mental health stepped-care programme for healthcare workers with psychological distress in crisis settings: a multicentre randomised controlled trial},\n\tvolume = {26},\n\tcopyright = {© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. Published by BMJ.. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.},\n\tissn = {2755-9734},\n\tshorttitle = {Effectiveness of a mental health stepped-care programme for healthcare workers with psychological distress in crisis settings},\n\turl = {https://mentalhealth.bmj.com/content/26/1/e300697},\n\tdoi = {10.1136/bmjment-2023-300697},\n\tabstract = {Background Evidence-based mental health interventions to support healthcare workers (HCWs) in crisis settings are scarce.\nObjective To evaluate the capacity of a mental health intervention in reducing anxiety and depression symptoms in HCWs, relative to enhanced care as usual (eCAU), amidst the COVID-19 pandemic.\nMethods We conducted an analyst-blind, parallel, multicentre, randomised controlled trial. We recruited HCWs with psychological distress from Madrid and Catalonia (Spain). The intervention arm received a stepped-care programme consisting of two WHO-developed interventions adapted for HCWs: Doing What Matters in Times of Stress (DWM) and Problem Management Plus (PM+). Each intervention lasted 5 weeks and was delivered remotely by non-specialist mental health providers. HCWs reporting psychological distress after DWM completion were invited to continue to PM+. The primary endpoint was self-reported anxiety/depression symptoms (Patient Health Questionnaire-Anxiety and Depression Scale) at week 21.\nFindings Between 3 November 2021 and 31 March 2022, 115 participants were randomised to stepped care and 117 to eCAU (86\\% women, mean age 37.5). The intervention showed a greater decrease in anxiety/depression symptoms compared with eCAU at the primary endpoint (baseline-adjusted difference 4.4, 95\\% CI 2.1 to 6.7; standardised effect size 0.8, 95\\% CI 0.4 to 1.2). No serious adverse events occurred.\nConclusions Brief stepped-care psychological interventions reduce anxiety and depression during a period of stress among HCWs.\nClinical implications Our results can inform policies and actions to protect the mental health of HCWs during major health crises and are potentially rapidly replicable in other settings where workers are affected by global emergencies.\nTrial registration number NCT04980326.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-06-02},\n\tjournal = {BMJ Ment Health},\n\tauthor = {Mediavilla, Roberto and Felez-Nobrega, Mireia and McGreevy, Kerry R. and Monistrol-Mula, Anna and Bravo-Ortiz, María-Fe and Bayón, Carmen and Giné-Vázquez, Iago and Villaescusa, Rut and Muñoz-Sanjosé, Ainoa and Aguilar-Ortiz, Salvatore and Figueiredo, Natasha and Nicaise, Pablo and Park, A.-La and Petri-Romão, Papoula and Purgato, Marianna and Witteveen, Anke B. and Underhill, James and Barbui, Corrado and Bryant, Richard and Kalisch, Raffael and Lorant, Vincent and McDaid, David and Melchior, Maria and Sijbrandij, Marit and Haro, Josep Maria and Ayuso-Mateos, Jose Luis},\n\tmonth = jun,\n\tyear = {2023},\n\tpmid = {37263708},\n\tpmcid = {PMC10254812},\n\tnote = {Publisher: Royal College of Psychiatrists\nSection: Psychotherapies},\n\tkeywords = {R-project, COVID-19, emmeans, RESPOND, Humans, Male, Female, Adult, lme4, GAD-7, PHQ-9, clubSandwich, Pandemics, adult psychiatry, anxiety disorders, depression \\& mood disorders, genodds, Health Personnel, Mental Health, Psychological Distress},\n\tfile = {Mediavillaetal-2023-Effectiveness_of_a_mental_health_stepped-care_programme_for_healthcare_workers.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Mediavillaetal-2023-Effectiveness_of_a_mental_health_stepped-care_programme_for_healthcare_workers.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity.\n \n \n \n \n\n\n \n Siddi, S.; Bailon, R.; Giné-Vázquez, I.; Matcham, F.; Lamers, F.; Kontaxis, S.; Laporta, E.; Garcia, E.; Lombardini, F.; Annas, P.; Hotopf, M.; Penninx, B. W. J. H.; Ivan, A.; White, K. M.; Difrancesco, S.; Locatelli, P.; Aguiló, J.; Peñarrubia-Maria, M. T.; Narayan, V. A.; Folarin, A.; Leightley, D.; Cummins, N.; Vairavan, S.; Ranjan, Y.; Rintala, A.; De Girolamo, G.; Simblett, S. K.; Wykes, T.; PAB members; Myin-Germeys, I.; Dobson, R.; and Haro, J. M.\n\n\n \n\n\n\n Psychological Medicine,1–12. May 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"The$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{siddi_usability_2023,\n\ttitle = {The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity},\n\tissn = {0033-2917, 1469-8978},\n\turl = {https://www.cambridge.org/core/product/identifier/S0033291723001034/type/journal_article},\n\tdoi = {10.1017/S0033291723001034},\n\tabstract = {Abstract\n            \n              Background\n              Alterations in heart rate (HR) may provide new information about physiological signatures of depression severity. This 2-year study in individuals with a history of recurrent major depressive disorder (MDD) explored the intra-individual variations in HR parameters and their relationship with depression severity.\n            \n            \n              Methods\n              Data from 510 participants (Number of observations of the HR parameters = 6666) were collected from three centres in the Netherlands, Spain, and the UK, as a part of the remote assessment of disease and relapse-MDD study. We analysed the relationship between depression severity, assessed every 2 weeks with the Patient Health Questionnaire-8, with HR parameters in the week before the assessment, such as HR features during all day, resting periods during the day and at night, and activity periods during the day evaluated with a wrist-worn Fitbit device. Linear mixed models were used with random intercepts for participants and countries. Covariates included in the models were age, sex, BMI, smoking and alcohol consumption, antidepressant use and co-morbidities with other medical health conditions.\n            \n            \n              Results\n              Decreases in HR variation during resting periods during the day were related with an increased severity of depression both in univariate and multivariate analyses. Mean HR during resting at night was higher in participants with more severe depressive symptoms.\n            \n            \n              Conclusions\n              Our findings demonstrate that alterations in resting HR during all day and night are associated with depression severity. These findings may provide an early warning of worsening depression symptoms which could allow clinicians to take responsive treatment measures promptly.},\n\tlanguage = {en},\n\turldate = {2023-05-16},\n\tjournal = {Psychological Medicine},\n\tauthor = {Siddi, S. and Bailon, R. and Giné-Vázquez, I. and Matcham, F. and Lamers, F. and Kontaxis, S. and Laporta, E. and Garcia, E. and Lombardini, F. and Annas, P. and Hotopf, M. and Penninx, B. W. J. H. and Ivan, A. and White, K. M. and Difrancesco, S. and Locatelli, P. and Aguiló, J. and Peñarrubia-Maria, M. T. and Narayan, V. A. and Folarin, A. and Leightley, D. and Cummins, N. and Vairavan, S. and Ranjan, Y. and Rintala, A. and De Girolamo, G. and Simblett, S. K. and Wykes, T. and {PAB members} and Myin-Germeys, I. and Dobson, R. and Haro, J. M.},\n\tmonth = may,\n\tyear = {2023},\n\tpmid = {37184076},\n\tkeywords = {R-project, Humans, lme4, Depressive Disorder, Major, Depression, Biomarkers, Antidepressive Agents, Heart Rate, mobile health (mHealth), real-world monitoring, resting heart rate},\n\tpages = {1--12},\n\tfile = {Siddietal-2023-The_usability_of_daytime_and_night-time_heart_rate_dynamics_as_digital.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Siddietal-2023-The_usability_of_daytime_and_night-time_heart_rate_dynamics_as_digital.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Government interventions and control policies to contain the first COVID-19 outbreak: An analysis of evidence.\n \n \n \n \n\n\n \n Fernández, D.; Giné-Vázquez, I.; Morena, M.; Koyanagi, A.; Janko, M. M.; Haro, J. M.; Panagiotakos, D.; Molassiotis, A.; Pan, W. K.; and Tyrovolas, S.\n\n\n \n\n\n\n Scandinavian Journal of Public Health,140349482311569. March 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"Government$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{fernandez_government_2023,\n\ttitle = {Government interventions and control policies to contain the first {COVID}-19 outbreak: {An} analysis of evidence},\n\tissn = {1403-4948, 1651-1905},\n\tshorttitle = {Government interventions and control policies to contain the first {COVID}-19 outbreak},\n\turl = {http://journals.sagepub.com/doi/10.1177/14034948231156969},\n\tdoi = {10.1177/14034948231156969},\n\tabstract = {Background:\n              The overarching aim of this study was to evaluate the effectiveness over time of government interventions and policy restrictions and the impact of determinants on spread and mortality during the first-wave of the COVID-19 pandemic, globally, regionally and by country-income level, up to 18 May 2020.\n            \n            \n              Methods:\n              We created a global database merging World Health Organization daily case reports (from 218 countries/territories) with other socio-demographic and population health measures from 21 January to 18 May 2020. A four-level government policy interventions score (low to very high) was created based on the Oxford Stringency Index.\n            \n            \n              Results:\n              Our results support the use of very high government interventions to suppress both COVID-19 spread and mortality effectively during wave one globally compared to other policy levels of control. Similar trends in virus propagation and mortality were observed in all country-income levels and specific regions.\n            \n            \n              Conclusions:\n              Rapid implementation of government interventions was needed to contain the first wave of the COVID-19 outbreak and to reduce COVID-19-related mortality.},\n\tlanguage = {en},\n\turldate = {2023-03-13},\n\tjournal = {Scandinavian Journal of Public Health},\n\tauthor = {Fernández, Daniel and Giné-Vázquez, Iago and Morena, Marianthi and Koyanagi, Ai and Janko, Mark M. and Haro, Josep Maria and Panagiotakos, Demosthenes and Molassiotis, Alex and Pan, William K. and Tyrovolas, Stefanos},\n\tmonth = mar,\n\tyear = {2023},\n\tpmcid = {PMC9996153},\n\tpmid = {36883722},\n\tkeywords = {R-project, COVID-19, INFORM, glmmTMB, INLA, R-INLA},\n\tpages = {140349482311569},\n\tfile = {Fernandezetal-2023-Government_interventions_and_control_policies_to_contain_the_first_COVID-19.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Fernandezetal-2023-Government_interventions_and_control_policies_to_contain_the_first_COVID-19.pdf:application/pdf;sj-docx-1-sjp-10.1177_14034948231156969.docx:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/sj-docx-1-sjp-10.1177_14034948231156969.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document},\n}\n\n

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\n \n\n \n \n \n \n \n \n The Association of Social Support and Loneliness with Symptoms of Depression, Anxiety, and Posttraumatic Stress during the COVID-19 Pandemic: A Meta-Analysis.\n \n \n \n \n\n\n \n Gabarrell-Pascuet, A.; García-Mieres, H.; Giné-Vázquez, I.; Moneta, M. V.; Koyanagi, A.; Haro, J. M.; and Domènech-Abella, J.\n\n\n \n\n\n\n International Journal of Environmental Research and Public Health, 20(4): 2765. February 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"The$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{gabarrell-pascuet_association_2023,\n\ttitle = {The {Association} of {Social} {Support} and {Loneliness} with {Symptoms} of {Depression}, {Anxiety}, and {Posttraumatic} {Stress} during the {COVID}-19 {Pandemic}: {A} {Meta}-{Analysis}},\n\tvolume = {20},\n\tissn = {1660-4601},\n\tshorttitle = {The {Association} of {Social} {Support} and {Loneliness} with {Symptoms} of {Depression}, {Anxiety}, and {Posttraumatic} {Stress} during the {COVID}-19 {Pandemic}},\n\turl = {https://www.mdpi.com/1660-4601/20/4/2765},\n\tdoi = {10.3390/ijerph20042765},\n\tabstract = {Background: Research suggests that changes in social support and loneliness have affected mental disorder symptoms during the COVID-19 pandemic. However, there are a lack of studies comparing the robustness of these associations. Aims: The aims were to estimate the strength of the associations of loneliness and social support with symptoms of depression, anxiety, and posttraumatic stress during the COVID-19 pandemic (2020–2022) in the general population. Method: The method entailed a systematic review and random-effects meta-analysis of quantitative studies. Results: Seventy-three studies were included in the meta-analysis. The pooled correlations of the effect size of the association of loneliness with symptoms of depression, anxiety, and posttraumatic stress were 0.49, 0.40, and 0.38, respectively. The corresponding figures for social support were 0.29, 0.19, and 0.18, respectively. Subgroup analyses revealed that the strength of some associations could be influenced by the sociodemographic characteristics of the study samples, such as age, gender, region, and COVID-19 stringency index, and by methodological moderators, such as sample size, collection date, methodological quality, and the measurement scales. Conclusions: Social support had a weak association with mental disorder symptoms during the COVID-19 pandemic while the association with loneliness was moderate. Strategies to address loneliness could be highly effective in reducing the impact of the pandemic on social relationships and mental health.},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2023-02-20},\n\tjournal = {International Journal of Environmental Research and Public Health},\n\tauthor = {Gabarrell-Pascuet, Aina and García-Mieres, Helena and Giné-Vázquez, Iago and Moneta, Maria Victoria and Koyanagi, Ai and Haro, Josep Maria and Domènech-Abella, Joan},\n\tmonth = feb,\n\tyear = {2023},\n\tpmcid = {PMC9957328},\n\tpmid = {36833463},\n\tkeywords = {R-project, meta, PRISMA, Preferred Reporting Item for Systematic Review and Meta-Analysis, PROSPERO, International prospective register of systematic reviews},\n\tpages = {2765},\n\tfile = {Gabarrell-Pascuetetal-2023-The_Association_of_Social_Support_and_Loneliness_with_Symptoms_of_Depression,.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Gabarrell-Pascuetetal-2023-The_Association_of_Social_Support_and_Loneliness_with_Symptoms_of_Depression,.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n The Impact of COVID-19 Lockdown on Adults with Major Depressive Disorder from Catalonia: A Decentralized Longitudinal Study.\n \n \n \n \n\n\n \n Lavalle, R.; Condominas, E.; Haro, J. M.; Giné-Vázquez, I.; Bailon, R.; Laporta, E.; Garcia, E.; Kontaxis, S.; Alacid, G. R.; Lombardini, F.; Preti, A.; Peñarrubia-Maria, M. T.; Coromina, M.; Arranz, B.; Vilella, E.; Rubio-Alacid, E.; Spain, R.; Matcham, F.; Lamers, F.; Hotopf, M.; Penninx, B. W. J. H.; Annas, P.; Narayan, V.; Simblett, S. K.; Siddi, S.; and Consortium, t. R.\n\n\n \n\n\n\n International Journal of Environmental Research and Public Health, 20(6): 5161. January 2023.\n Number: 6 Publisher: Multidisciplinary Digital Publishing Institute\n\n\n\n
\n\n\n\n \n \n $\"The$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{lavalle_impact_2023,\n\ttitle = {The {Impact} of {COVID}-19 {Lockdown} on {Adults} with {Major} {Depressive} {Disorder} from {Catalonia}: {A} {Decentralized} {Longitudinal} {Study}},\n\tvolume = {20},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tissn = {1660-4601},\n\tshorttitle = {The {Impact} of {COVID}-19 {Lockdown} on {Adults} with {Major} {Depressive} {Disorder} from {Catalonia}},\n\turl = {https://www.mdpi.com/1660-4601/20/6/5161},\n\tdoi = {10.3390/ijerph20065161},\n\tabstract = {The present study analyzes the effects of each containment phase of the first COVID-19 wave on depression levels in a cohort of 121 adults with a history of major depressive disorder (MDD) from Catalonia recruited from 1 November 2019, to 16 October 2020. This analysis is part of the Remote Assessment of Disease and Relapse-MDD (RADAR-MDD) study. Depression was evaluated with the Patient Health Questionnaire-8 (PHQ-8), and anxiety was evaluated with the Generalized Anxiety Disorder-7 (GAD-7). Depression’s levels were explored across the phases (pre-lockdown, lockdown, and four post-lockdown phases) according to the restrictions of Spanish/Catalan governments. Then, a mixed model was fitted to estimate how depression varied over the phases. A significant rise in depression severity was found during the lockdown and phase 0 (early post-lockdown), compared with the pre-lockdown. Those with low pre-lockdown depression experienced an increase in depression severity during the “new normality”, while those with high pre-lockdown depression decreased compared with the pre-lockdown. These findings suggest that COVID-19 restrictions affected the depression level depending on their pre-lockdown depression severity. Individuals with low levels of depression are more reactive to external stimuli than those with more severe depression, so the lockdown may have worse detrimental effects on them.},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2023-03-15},\n\tjournal = {International Journal of Environmental Research and Public Health},\n\tauthor = {Lavalle, Raffaele and Condominas, Elena and Haro, Josep Maria and Giné-Vázquez, Iago and Bailon, Raquel and Laporta, Estela and Garcia, Ester and Kontaxis, Spyridon and Alacid, Gemma Riquelme and Lombardini, Federica and Preti, Antonio and Peñarrubia-Maria, Maria Teresa and Coromina, Marta and Arranz, Belén and Vilella, Elisabet and Rubio-Alacid, Elena and RADAR-MDD Spain and Matcham, Faith and Lamers, Femke and Hotopf, Matthew and Penninx, Brenda W. J. H. and Annas, Peter and Narayan, Vaibhav and Simblett, Sara K. and Siddi, Sara and the RADAR-CNS Consortium},\n\tmonth = jan,\n\tyear = {2023},\n\tpmcid = {PMC10048808},\n\tpmid = {36982069},\n\tnote = {Number: 6\nPublisher: Multidisciplinary Digital Publishing Institute},\n\tkeywords = {R-project, Stata, COVID-19, SARS-CoV-2, PHQ-8, RADAR-CNS, anxiety, depression, GAD-7, nlme, lockdown, decentralized study, quarantine, remote measurement technology, Spain},\n\tpages = {5161},\n\tfile = {ijerph-20-05161-s001.zip:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/ijerph-20-05161-s001.zip:application/x-zip-compressed;Lavalleetal-2023-The_Impact_of_COVID-19_Lockdown_on_Adults_with_Major_Depressive_Disorder_from.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Lavalleetal-2023-The_Impact_of_COVID-19_Lockdown_on_Adults_with_Major_Depressive_Disorder_from.pdf:application/pdf},\n}\n\n

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\n \n 2022\n \n \n (7)\n \n \n

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\n \n\n \n \n \n \n \n \n A GBD 2019 study of health and Sustainable Development Goal gains and forecasts to 2030 in Spain.\n \n \n \n \n\n\n \n Lazarus, J. V.; Ortiz, A.; Tyrovolas, S.; Fernández, E.; Guy, D.; White, T. M.; Ma, R.; Hay, S. I.; Naghavi, M.; Soriano, J. B.; García-Basteiro, A. L.; Ayuso-Mateos, J. L.; Bassat, Q.; Benavides, F. G.; Giné-Vázquez, I.; Haro, J. M.; Koyanagi, A.; Martinez-Raga, J.; Padron-Monedero, A.; Peñalvo, J. L.; Pérez-Gómez, J.; Rojas-Rueda, D.; Sarmiento-Suárez, R.; and Tabarés-Seisdedos, R.\n\n\n \n\n\n\n Scientific Reports, 12(1): 21154. December 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{lazarus_gbd_2022,\n\ttitle = {A {GBD} 2019 study of health and {Sustainable} {Development} {Goal} gains and forecasts to 2030 in {Spain}},\n\tvolume = {12},\n\tissn = {2045-2322},\n\turl = {https://www.nature.com/articles/s41598-022-24719-z},\n\tdoi = {10.1038/s41598-022-24719-z},\n\tabstract = {Abstract\n            This study aimed to report mortality, risk factors, and burden of diseases in Spain. The Global Burden of Disease, Injuries, and Risk Factors 2019 estimates the burden due to 369 diseases, injuries, and impairments and 87 risk factors and risk factor combinations. Here, we detail the updated Spain 1990–2019 burden of disease estimates and project certain metrics up to 2030. In 2019, leading causes of death were ischaemic heart disease, stroke, chronic obstructive pulmonary disease, Alzheimer’s disease, and lung cancer. Main causes of disability adjusted life years (DALYs) were ischaemic heart disease, diabetes, lung cancer, low back pain, and stroke. Leading DALYs risk factors included smoking, high body mass index, and high fasting plasma glucose. Spain scored 74/100 among all health-related Sustainable Development Goals (SDGs) indicators, ranking 20 of 195 countries and territories. We forecasted that by 2030, Spain would outpace Japan, the United States, and the European Union. Behavioural risk factors, such as smoking and poor diet, and environmental factors added a significant burden to the Spanish population’s health in 2019. Monitoring these trends, particularly in light of COVID-19, is essential to prioritise interventions that will reduce the future burden of disease to meet population health and SDG commitments.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2022-12-12},\n\tjournal = {Scientific Reports},\n\tauthor = {Lazarus, Jeffrey V. and Ortiz, Alberto and Tyrovolas, Stefanos and Fernández, Esteve and Guy, Danielle and White, Trenton M. and Ma, Rui and Hay, Simon I. and Naghavi, Mohsen and Soriano, Joan B. and García-Basteiro, Alberto L. and Ayuso-Mateos, Jose L. and Bassat, Quique and Benavides, Fernando G. and Giné-Vázquez, Iago and Haro, Josep Maria and Koyanagi, Ai and Martinez-Raga, Jose and Padron-Monedero, Alicia and Peñalvo, José L. and Pérez-Gómez, Jorge and Rojas-Rueda, David and Sarmiento-Suárez, Rodrigo and Tabarés-Seisdedos, Rafael},\n\tmonth = dec,\n\tyear = {2022},\n\tpmcid = {PMC9729199},\n\tpmid = {36477107},\n\tpages = {21154},\n\tfile = {Lazarusetal-2022-A_GBD_2019_study_of_health_and_Sustainable_Development_Goal_gains_and_forecasts.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Lazarusetal-2022-A_GBD_2019_study_of_health_and_Sustainable_Development_Goal_gains_and_forecasts.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis.\n \n \n \n \n\n\n \n Siddi, S.; Giné-Vázquez, I.; Bailon, R.; Matcham, F.; Lamers, F.; Kontaxis, S.; Laporta, E.; Garcia, E.; Arranz, B.; Costa, G.; Guerrero, A.; Zabalza, A.; Buron, M.; Comi, G.; Leocani, L.; Annas, P.; Hotopf, M.; Penninx, B.; Magyari, M.; Sørensen, P.; Montalban, X.; Lavelle, G.; Ivan, A.; Oetzmann, C.; White, K.; Difrancesco, S.; Locatelli, P.; Mohr, D.; Aguiló, J.; Narayan, V.; Folarin, A.; Dobson, R.; Dineley, J.; Leightley, D.; Cummins, N.; Vairavan, S.; Ranjan, Y.; Rashid, Z.; Rintala, A.; Girolamo, G.; Preti, A.; Simblett, S.; Wykes, T.; PAB Members; Myin-Germeys, I.; Haro, J.; and on behalf of the RADAR-CNS Consortium\n\n\n \n\n\n\n Journal of Clinical Medicine, 11(23): 7163. December 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"Biopsychosocial$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{siddi_biopsychosocial_2022,\n\ttitle = {Biopsychosocial {Response} to the {COVID}-19 {Lockdown} in {People} with {Major} {Depressive} {Disorder} and {Multiple} {Sclerosis}},\n\tvolume = {11},\n\tissn = {2077-0383},\n\turl = {https://www.mdpi.com/2077-0383/11/23/7163},\n\tdoi = {10.3390/jcm11237163},\n\tabstract = {Background: Changes in lifestyle, finances and work status during COVID-19 lockdowns may have led to biopsychosocial changes in people with pre-existing vulnerabilities such as Major Depressive Disorders (MDDs) and Multiple Sclerosis (MS). Methods: Data were collected as a part of the RADAR-CNS (Remote Assessment of Disease and Relapse—Central Nervous System) program. We analyzed the following data from long-term participants in a decentralized multinational study: symptoms of depression, heart rate (HR) during the day and night; social activity; sedentary state, steps and physical activity of varying intensity. Linear mixed-effects regression analyses with repeated measures were fitted to assess the changes among three time periods (pre, during and post-lockdown) across the groups, adjusting for depression severity before the pandemic and gender. Results: Participants with MDDs (N = 255) and MS (N = 214) were included in the analyses. Overall, depressive symptoms remained stable across the three periods in both groups. A lower mean HR and HR variation were observed between pre and during lockdown during the day for MDDs and during the night for MS. HR variation during rest periods also decreased between pre- and post-lockdown in both clinical conditions. We observed a reduction in physical activity for MDDs and MS upon the introduction of lockdowns. The group with MDDs exhibited a net increase in social interaction via social network apps over the three periods. Conclusions: Behavioral responses to the lockdown measured by social activity, physical activity and HR may reflect changes in stress in people with MDDs and MS. Remote technology monitoring might promptly activate an early warning of physical and social alterations in these stressful situations. Future studies must explore how stress does or does not impact depression severity.},\n\tlanguage = {en},\n\tnumber = {23},\n\turldate = {2022-12-02},\n\tjournal = {Journal of Clinical Medicine},\n\tauthor = {Siddi, Sara and Giné-Vázquez, Iago and Bailon, Raquel and Matcham, Faith and Lamers, Femke and Kontaxis, Spyridon and Laporta, Estela and Garcia, Esther and Arranz, Belen and Costa, Gloria and Guerrero, Ana and Zabalza, Ana and Buron, Mathias and Comi, Giancarlo and Leocani, Letizia and Annas, Peter and Hotopf, Matthew and Penninx, Brenda and Magyari, Melinda and Sørensen, Per and Montalban, Xavier and Lavelle, Grace and Ivan, Alina and Oetzmann, Carolin and White, Katie and Difrancesco, Sonia and Locatelli, Patrick and Mohr, David and Aguiló, Jordi and Narayan, Vaibhav and Folarin, Amos and Dobson, Richard and Dineley, Judith and Leightley, Daniel and Cummins, Nicholas and Vairavan, Srinivasan and Ranjan, Yathart and Rashid, Zulqarnain and Rintala, Aki and Girolamo, Giovanni and Preti, Antonio and Simblett, Sara and Wykes, Til and {PAB Members} and Myin-Germeys, Inez and Haro, Josep and {on behalf of the RADAR-CNS Consortium}},\n\tmonth = dec,\n\tyear = {2022},\n\tpmcid = {PMC9738639},\n\tpmid = {36498739},\n\tkeywords = {R-project, COVID-19, emmeans, PHQ-8, RADAR-CNS, nlme, lockdown},\n\tpages = {7163},\n\tfile = {Siddietal-2022-Biopsychosocial_Response_to_the_COVID-19_Lockdown_in_People_with_Major.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Siddietal-2022-Biopsychosocial_Response_to_the_COVID-19_Lockdown_in_People_with_Major.pdf:application/pdf},\n}\n\n\n

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\n \n\n \n \n \n \n \n \n Factors Associated with Depression and Anxiety Symptoms among Migrant Population in Spain during the COVID-19 Pandemic.\n \n \n \n \n\n\n \n Bayes-Marin, I.; Roura-Adserias, M.; Giné-Vázquez, I.; Villalobos, F.; Franch-Roca, M.; Lloret-Pineda, A.; Gabarrell-Pascuet, A.; He, Y.; Hafi, R. E.; Butt, F. M. A.; Mellor-Marsá, B.; Alós, M. C.; Sainz-Elías, H.; Ayad-Ahmed, W.; Aparicio, L.; Cabeza, M. E.; Bobo, Ó. Á.; López, Y. O.; Haro, J. M.; and Cristóbal-Narváez, P.\n\n\n \n\n\n\n International Journal of Environmental Research and Public Health, 19(23): 15646. November 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"Factors$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{bayes-marin_factors_2022,\n\ttitle = {Factors {Associated} with {Depression} and {Anxiety} {Symptoms} among {Migrant} {Population} in {Spain} during the {COVID}-19 {Pandemic}},\n\tvolume = {19},\n\tissn = {1660-4601},\n\turl = {https://www.mdpi.com/1660-4601/19/23/15646},\n\tdoi = {10.3390/ijerph192315646},\n\tabstract = {Migrants are likely to experience mental health conditions, being one of the most vulnerable groups during the COVID-19 pandemic. The present study aims to: (1) estimate the prevalence of depressive and anxious symptoms and (2) examine the impact of risk and protective factors on this symptomatology. A sample of 129 migrants living in Spain during the COVID-19 pandemic completed an anonymous online survey, including information on sociodemographic and individual characteristics, migration, basic needs, social environment and perceived health domains. Multiple Poisson regression models analysed the effects of risk and protective factors on depression and anxiety symptoms. The prevalence of depressive and anxiety symptoms was 22.3\\% and 21.4\\%, respectively. Risk factors such as living in a rented house and previous mental health conditions were associated with higher depression symptoms, whereas unemployment was related to anxiety symptoms. Conversely, older age, better self-esteem, and higher levels of social support were associated with fewer depression symptoms. Older age and better quality of life were related to fewer anxiety symptoms. These findings addressing risk and protective factors (e.g., social support, self-esteem) help to design culturally effective programs, particularly in migrants with pre-existing mental health conditions, adjusting the organisation of mental healthcare services in difficult times in Spain.},\n\tlanguage = {en},\n\tnumber = {23},\n\turldate = {2022-11-28},\n\tjournal = {International Journal of Environmental Research and Public Health},\n\tauthor = {Bayes-Marin, Ivet and Roura-Adserias, Maria and Giné-Vázquez, Iago and Villalobos, Felipe and Franch-Roca, Marta and Lloret-Pineda, Amanda and Gabarrell-Pascuet, Aina and He, Yuelu and Hafi, Rachid El and Butt, Fajar Matloob Ahmed and Mellor-Marsá, Blanca and Alós, M. Carmen and Sainz-Elías, Helena and Ayad-Ahmed, Wala and Aparicio, Lola and Cabeza, Mercedes Espinal and Bobo, Óscar Álvarez and López, Yolanda Osorio and Haro, Josep Maria and Cristóbal-Narváez, Paula},\n\tmonth = nov,\n\tyear = {2022},\n\tpmcid = {PMC9736595},\n\tpmid = {36497721},\n\tkeywords = {R-project, PHQ-8, EQ-5D-5L, Five-level version of EQ-5D, Everyday Discrimination Scale, EDS, ROSENBERG SELF-ESTEEM SCALE, GAD-7, pwr, CD-RISC, Connor-Davidson Resilience Scale},\n\tpages = {15646},\n\tfile = {Bayes-Marinetal-2022-Factors_Associated_with_Depression_and_Anxiety_Symptoms_among_Migrant.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Bayes-Marinetal-2022-Factors_Associated_with_Depression_and_Anxiety_Symptoms_among_Migrant.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019.\n \n \n \n \n\n\n \n Peden, A. E; Cullen, P.; Francis, K. L.; Moeller, H.; Peden, M. M; Ye, P.; Tian, M.; Zou, Z.; Sawyer, S. M; Aali, A.; Abbasi-Kangevari, Z.; Abbasi-Kangevari, M.; Abdelmasseh, M.; Abdoun, M.; Abd-Rabu, R.; Abdulah, D. M.; Abebe, G.; Abebe, A. M.; Abedi, A.; Abidi, H.; Aboagye, R. G.; Abubaker Ali, H.; Abu-Gharbieh, E.; Adane, D. E.; Adane, T. D.; Addo, I. Y.; Adewole, O. G.; Adhikari, S.; Adnan, M.; Adnani, Q. E. S.; Afolabi, A. A. B.; Afzal, S.; Afzal, M. S.; Aghdam, Z. B.; Ahinkorah, B. O.; Ahmad, A. R.; Ahmad, T.; Ahmad, S.; Ahmadi, A.; Ahmed, H.; Ahmed, M. B.; Ahmed, A.; Ahmed, A.; Ahmed, J. Q.; Ahmed Rashid, T.; Aithala, J. P; Aji, B.; Akhlaghdoust, M.; Alahdab, F.; Alanezi, F. M.; Alemayehu, A.; Al Hamad, H.; Ali, S. S.; Ali, L.; Alimohamadi, Y.; Alipour, V.; Aljunid, S. M.; Almidani, L.; Almustanyir, S.; Altirkawi, K. A; Alvis-Zakzuk, N. J; Ameyaw, E. K.; Amin, T. T.; Amir-Behghadami, M.; Amiri, S.; Amiri, H.; Anagaw, T. F.; Andrei, T.; Andrei, C. L.; Anvari, D.; Anwar, S. L.; Anyasodor, A. E.; Arabloo, J.; Arab-Zozani, M.; Arja, A.; Arulappan, J.; Arumugam, A.; Aryannejad, A.; Asgary, S.; Ashraf, T.; Athari, S. S.; Atreya, A.; Attia, S.; Aujayeb, A.; Awedew, A. F.; Azadnajafabad, S.; Azangou-Khyavy, M.; Azari, S.; Azari Jafari, A.; Azizi, H.; Azzam, A. Y; Badiye, A. D; Baghcheghi, N.; Bagherieh, S.; Baig, A. A.; Bakkannavar, S. M; Balta, A. B.; Banach, M.; Banik, P. C.; Bansal, H.; Bardhan, M.; Barone-Adesi, F.; Barrow, A.; Bashiri, A.; Baskaran, P.; Basu, S.; Bayileyegn, N. S.; Bekel, A. A.; Bekele, A. B.; Bendak, S.; Bensenor, I. M; Berhie, A. Y.; Bhagat, D. S; Bhagavathula, A. S.; Bhardwaj, P.; Bhardwaj, N.; Bhaskar, S.; Bhat, A. N.; Bhattacharyya, K.; Bhutta, Z. A; Bibi, S.; Bintoro, B. S.; Bitaraf, S.; Bodicha, B. B. A.; Boloor, A.; Bouaoud, S.; Brown, J.; Burkart, K.; Butt, N. S.; Butt, M. H.; Cámera, L. A.; Campuzano Rincon, J. C.; Cao, C.; Carvalho, A. F; Carvalho, M.; Chakraborty, P. A.; Chandrasekar, E. K; Chang, J.; Charalampous, P.; Charan, J.; Chattu, V. K.; Chekole, B. M.; Chitheer, A.; Cho, D. Y.; Chopra, H.; Christopher, D. J; Chukwu, I. S.; Cruz-Martins, N.; Dadras, O.; Dahlawi, S. M A; Dai, X.; Damiani, G.; Darmstadt, G. L; Darvishi Cheshmeh Soltani, R.; Darwesh, A. M.; Das, S.; Dastiridou, A.; Debela, S. A.; Dehghan, A.; Demeke, G. M.; Demetriades, A. K; Demissie, S.; Dessalegn, F. N.; Desta, A. A.; Dianatinasab, M.; Diao, N.; Dias da Silva, D.; Diaz, D.; Digesa, L. E.; Diress, M.; Djalalinia, S.; Doan, L. P.; Dodangeh, M.; Doku, P. N.; Dongarwar, D.; Dsouza, H. L.; Eini, E.; Ekholuenetale, M.; Ekundayo, T. C.; Elagali, A. E. M.; Elbahnasawy, M. A.; Elhabashy, H. R.; Elhadi, M.; El Sayed Zaki, M.; Enyew, D. B.; Erkhembayar, R.; Eskandarieh, S.; Etaee, F.; Fagbamigbe, A. F.; Faris, P. S.; Farmany, A.; Faro, A.; Farzadfar, F.; Fatehizadeh, A.; Fereshtehnejad, S.; Feroze, A. H.; Fetensa, G.; Feyisa, B. R.; Filip, I.; Fischer, F.; Foroutan, B.; Foroutan, M.; Fowobaje, K. R.; Franklin, R. C.; Fukumoto, T.; Gaal, P. A.; Gadanya, M. A; Galali, Y.; Galehdar, N.; Ganesan, B.; Garg, T.; Gebrehiwot, M. G. D.; Gebremariam, Y. H.; Gela, Y. Y.; Gerema, U.; Ghafourifard, M.; Ghamari, S.; Ghanbari, R.; Ghasemi Nour, M.; Gholamalizadeh, M.; Gholami, A.; Gholamrezanezhad, A.; Ghozy, S.; Gilani, S. A.; Gill, T. K; Giné-Vázquez, I.; Girma, Z. A.; Glasbey, J. C; Glozah, F. N; Golechha, M.; Goleij, P.; Grivna, M.; Guadie, H. A.; Gunawardane, D. A.; Guo, Y.; Gupta, V. B.; Gupta, S.; Gupta, B.; Gupta, V. K.; Haj-Mirzaian, A.; Halwani, R.; Hamadeh, R. R; Hameed, S.; Hanif, A.; Hargono, A.; Harlianto, N. I; Harorani, M.; Hasaballah, A. I; Hasan, S M M.; Hassan, A.; Hassanipour, S.; Hassankhani, H.; Havmoeller, R. J; Hay, S. I; Heidari, M.; Hendrie, D.; Heyi, D. Z.; Hiraike, Y.; Holla, R.; Horita, N.; Hossain, S. J.; Hossain, M. B. H.; Hosseini Shabanan, S.; Hosseinzadeh, M.; Hostiuc, S.; Hoveidaei, A. H.; Hsiao, A. K.; Hussain, S.; Hussein, A.; Ibitoye, S. E.; Ilesanmi, O. S.; Ilic, I. M; Ilic, M. D; Immurana, M.; Inbaraj, L. R.; Islam, S. M. S.; Islam, R. M; Islam, M. M.; Ismail, N. E.; J, L. M.; Jahrami, H.; Jakovljevic, M.; Janodia, M. D.; Javaheri, T.; Jayapal, S. K.; Jayarajah, U. U.; Jayaraman, S.; Jeganathan, J.; Jemal, B.; Jha, R. P.; Jonas, J. B; Joo, T.; Joseph, N.; Jozwiak, J. J.; Jürisson, M.; Kabir, A.; Kadashetti, V.; Kadir, D. H.; Kalankesh, L. R; Kalankesh, L. R; Kalhor, R.; Kamal, V. K.; Kamath, R.; Kandel, H.; Kantar, R. S; Kapoor, N.; Karami, H.; Karaye, I. M; Karkhah, S.; Katoto, P. D.; Kauppila, J. H; Kayode, G. A; Keikavoosi-Arani, L.; Keskin, C.; Khader, Y. S.; Khajuria, H.; Khammarnia, M.; Khan, E. A.; Khan, M. N.; Khan, M.; Khan, Y. H; Khan, I. A; Khan, A.; Khan, M. A.; Khanali, J.; Khatatbeh, M. M.; Khayat Kashani, H. R.; Khubchandani, J.; Kifle, Z. D.; Kim, J.; Kim, Y. J.; Kisa, S.; Kisa, A.; Kneib, C. J; Kompani, F.; Koohestani, H. R.; Koul, P. A; Koulmane Laxminarayana, S. L.; Koyanagi, A.; Krishan, K.; Krishnamoorthy, V.; Kucuk Bicer, B.; Kumar, N.; Kumar, N.; Kumar, N.; Kumar, M.; Kurmi, O. P; Laflamme, L.; Lám, J.; Landires, I.; Larijani, B.; Lasrado, S.; Lauriola, P.; La Vecchia, C.; Lee, S. W. H.; Lee, Y. H.; Lee, S.; Lee, W.; Legesse, S. M.; Li, S.; Lim, S. S; Lorenzovici, L.; Luke, A. O.; Madadizadeh, F.; Madureira-Carvalho, Á. M; Magdy Abd El Razek, M.; Mahjoub, S.; Mahmoodpoor, A.; Mahmoudi, R.; Mahmoudimanesh, M.; Majeed, A.; Makki, A.; Malakan Rad, E.; Malekpour, M.; Malik, A. A.; Mallhi, T. H.; Malta, D. C.; Mansouri, B.; Mansournia, M. A.; Mathews, E.; Maulud, S. Q.; Mazingi, D.; Mehrabi Nasab, E.; Mendoza-Cano, O.; Menezes, R. G; Mengistu, D. A.; Mentis, A. A; Meretoja, A.; Mesregah, M. K.; Mestrovic, T.; Micheletti Gomide Nogueira de Sá, A. C.; Miller, T. R; Mirghaderi, S. P.; Mirica, A.; Mirmoeeni, S.; Mirrakhimov, E. M; Mirza, M.; Misra, S.; Mithra, P.; Mittal, C.; Moberg, M. E; Mohammadi, M.; Mohammadi, S.; Mohammadi, E.; Mohammadpourhodki, R.; Mohammed, S.; Mohammed, T. A.; Mohseni, M.; Mokdad, A. H; Momtazmanesh, S.; Monasta, L.; Moni, M. A.; Moreira, R. S.; Morrison, S. D.; Mostafavi, E.; Mousavi Isfahani, H.; Mubarik, S.; Muccioli, L.; Mukherjee, S.; Mulita, F.; Mustafa, G.; Nagarajan, A. J.; Naimzada, M. D.; Nangia, V.; Nassereldine, H.; Natto, Z. S; Nayak, B. P.; Negoi, I.; Nejadghaderi, S. A.; Nepal, S.; Neupane Kandel, S.; Noroozi, N.; Nuñez-Samudio, V.; Nzoputam, O. J.; Nzoputam, C. I.; Ochir, C.; Odhiambo, J. N.; Odukoya, O. O.; Okati-Aliabad, H.; Okonji, O. C.; Olagunju, A. T; Omar Bali, A.; Omer, E.; Otoiu, A.; Otstavnov, S. S; Otstavnov, N.; Oumer, B.; Owolabi, M. O; P A, M.; Padron-Monedero, A.; Padubidri, J. R.; Pahlevan Fallahy, M. T.; Panda-Jonas, S.; Pandi-Perumal, S. R; Pardhan, S.; Park, E.; Patel, S. K.; Pathan, A. R.; Pati, S.; Paudel, U.; Pawar, S.; Pedersini, P.; Peres, M. F P; Petcu, I.; Phillips, M. R; Pillay, J. D.; Piracha, Z. Z.; Poursadeqiyan, M.; Pourtaheri, N.; Qattea, I.; Radfar, A.; Rafiee, A.; Raghav, P. R.; Rahim, F.; Rahman, M. A.; Rahman, F. S.; Rahman, M.; Rahmani, A. M.; Rahmani, S.; Raj Moolambally, S.; Ramazanu, S.; Ramezanzadeh, K.; Rana, J.; Rao, C. R; Rao, S. J; Rashedi, V.; Rashidi, M.; Rastogi, P.; Rasul, A.; Rawaf, S.; Rawaf, D. L.; Rawal, L.; Rawassizadeh, R.; Rezaei, N.; Rezaei, N.; Rezaeian, M.; Rezapour, A.; Riad, A.; Riaz, M.; Rickard, J.; Rodriguez, J. A. B.; Roever, L.; Ronfani, L.; Roy, B.; S, M.; Saad, A. M A; Sabour, S.; Sabzmakan, L.; Saddik, B.; Sadeghi, M.; Saeb, M. R.; Saeed, U.; Saeedi Moghaddam, S.; Safi, S. Z.; Sahiledengle, B.; Sahoo, H.; Sahraian, M. A.; Saki, M.; Salamati, P.; Salehi, S.; Salem, M. R.; Samy, A. M; Sanabria, J.; Santric-Milicevic, M. M; Saqib, M. A. N.; Sarikhani, Y.; Sarveazad, A.; Sathian, B.; Satpathy, M.; Saya, G. K.; Schneider, I. J. C.; Schwebel, D. C; Seddighi, H.; Senthilkumaran, S.; Seylani, A.; Shabaninejad, H.; Shafeghat, M.; Shah, P. A; Shahabi, S.; Shahbandi, A.; Shahraki-Sanavi, F.; Shaikh, M. A.; Shaker, E.; Shams-Beyranvand, M.; Shanawaz, M.; Shannawaz, M.; Sharew, M. M. S.; Sharma, N.; Shashamo, B. B.; Shayan, M.; Sheikhi, R. A.; Shen, J.; Shetty, B S. K.; Shetty, P. H; Shin, J. I.; Shitaye, N. A.; Shivakumar, K M; Shobeiri, P.; Shorofi, S. A.; Shrestha, S.; Siabani, S.; Sidemo, N. B.; Simegn, W.; Sinaei, E.; Singh, P.; Sinto, R.; Siraj, M. S.; Skryabin, V. Y.; Skryabina, A. A.; Sleet, D. A; S N, C.; Socea, B.; Solmi, M.; Solomon, Y.; Song, Y.; Sousa, R. A R C; Soyiri, I. N; Stokes, M. A; Suleman, M.; Suliankatchi Abdulkader, R.; Sun, J.; Tabarés-Seisdedos, R.; Tabatabaei, S. M.; Tabish, M.; Taheri, E.; Taheri Soodejani, M.; Tampa, M.; Tan, K.; Tarigan, I. U.; Tariqujjaman, M.; Tat, N. Y; Tat, V. Y; Tavakoli, A.; Tefera, B. N.; Tefera, Y. M.; Temesgen, G.; Temsah, M.; Thangaraju, P.; Thapar, R.; Thomas, N. K.; Ticoalu, J. H. V.; Tincho, M. B.; Tiyuri, A.; Togtmol, M.; Tovani-Palone, M. R.; Tran, M. T. N.; Ullah, S.; Ullah, S.; Ullah, I.; Umakanthan, S.; Unnikrishnan, B.; Upadhyay, E.; Valadan Tahbaz, S.; Valdez, P. R; Vasankari, T. J.; Vaziri, S.; Veroux, M.; Vervoort, D.; Violante, F. S; Vlassov, V.; Vu, L. G.; Waheed, Y.; Wang, Y.; Wang, Y.; Wang, C.; Wiangkham, T.; Wickramasinghe, N. D.; Woday, A. T.; Wu, A.; Yahya, G. A. T.; Yahyazadeh Jabbari, S. H.; Yang, L.; Yaya, S.; Yigit, A.; Yiğit, V.; Yisihak, E.; Yonemoto, N.; You, Y.; Younis, M. Z; Yu, C.; Yunusa, I.; Yusefi, H.; Zahir, M.; Zaman, S. B.; Zare, I.; Zarea, K.; Zastrozhin, M. S.; Zhang, Z.; Zhang, Y.; Ziapour, A.; Zodpey, S.; Zoladl, M.; Patton, G. C; and Ivers, R. Q\n\n\n \n\n\n\n The Lancet Public Health,E657–E669. June 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"Adolescent$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{peden_adolescent_2022,\n\ttitle = {Adolescent transport and unintentional injuries: a systematic analysis using the {Global} {Burden} of {Disease} {Study} 2019},\n\tcopyright = {All rights reserved},\n\tissn = {24682667},\n\tshorttitle = {Adolescent transport and unintentional injuries},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S2468266722001347},\n\tdoi = {10.1016/S2468-2667(22)00134-7},\n\tlanguage = {en},\n\turldate = {2022-07-06},\n\tjournal = {The Lancet Public Health},\n\tauthor = {Peden, Amy E and Cullen, Patricia and Francis, Kate Louise and Moeller, Holger and Peden, Margaret M and Ye, Pengpeng and Tian, Maoyi and Zou, Zhiyong and Sawyer, Susan M and Aali, Amirali and Abbasi-Kangevari, Zeinab and Abbasi-Kangevari, Mohsen and Abdelmasseh, Michael and Abdoun, Meriem and Abd-Rabu, Rami and Abdulah, Deldar Morad and Abebe, Getachew and Abebe, Ayele Mamo and Abedi, Aidin and Abidi, Hassan and Aboagye, Richard Gyan and Abubaker Ali, Hiwa and Abu-Gharbieh, Eman and Adane, Denberu Eshetie and Adane, Tigist Demssew and Addo, Isaac Yeboah and Adewole, Ololade Grace and Adhikari, Sangeet and Adnan, Mohammad and Adnani, Qorinah Estiningtyas Sakilah and Afolabi, Aanuoluwapo Adeyimika Bachelor and Afzal, Saira and Afzal, Muhammad Sohail and Aghdam, Zahra Babaei and Ahinkorah, Bright Opoku and Ahmad, Araz Ramazan and Ahmad, Tauseef and Ahmad, Sajjad and Ahmadi, Ali and Ahmed, Haroon and Ahmed, Muktar Beshir and Ahmed, Ali and Ahmed, Ayman and Ahmed, Jivan Qasim and Ahmed Rashid, Tarik and Aithala, Janardhana P and Aji, Budi and Akhlaghdoust, Meisam and Alahdab, Fares and Alanezi, Fahad Mashhour and Alemayehu, Astawus and Al Hamad, Hanadi and Ali, Syed Shujait and Ali, Liaqat and Alimohamadi, Yousef and Alipour, Vahid and Aljunid, Syed Mohamed and Almidani, Louay and Almustanyir, Sami and Altirkawi, Khalid A and Alvis-Zakzuk, Nelson J and Ameyaw, Edward Kwabena and Amin, Tarek Tawfik and Amir-Behghadami, Mehrdad and Amiri, Sohrab and Amiri, Hoda and Anagaw, Tadele Fentabil and Andrei, Tudorel and Andrei, Catalina Liliana and Anvari, Davood and Anwar, Sumadi Lukman and Anyasodor, Anayochukwu Edward and Arabloo, Jalal and Arab-Zozani, Morteza and Arja, Asrat and Arulappan, Judie and Arumugam, Ashokan and Aryannejad, Armin and Asgary, Saeed and Ashraf, Tahira and Athari, Seyyed Shamsadin and Atreya, Alok and Attia, Sameh and Aujayeb, Avinash and Awedew, Atalel Fentahun and Azadnajafabad, Sina and Azangou-Khyavy, Mohammadreza and Azari, Samad and Azari Jafari, Amirhossein and Azizi, Hosein and Azzam, Ahmed Y and Badiye, Ashish D and Baghcheghi, Nayereh and Bagherieh, Sara and Baig, Atif Amin and Bakkannavar, Shankar M and Balta, Asaminew Birhanu and Banach, Maciej and Banik, Palash Chandra and Bansal, Hansi and Bardhan, Mainak and Barone-Adesi, Francesco and Barrow, Amadou and Bashiri, Azadeh and Baskaran, Pritish and Basu, Saurav and Bayileyegn, Nebiyou Simegnew and Bekel, Abebe Ayalew and Bekele, Alehegn Bekele and Bendak, Salaheddine and Bensenor, Isabela M and Berhie, Alemshet Yirga and Bhagat, Devidas S and Bhagavathula, Akshaya Srikanth and Bhardwaj, Pankaj and Bhardwaj, Nikha and Bhaskar, Sonu and Bhat, Ajay Nagesh and Bhattacharyya, Krittika and Bhutta, Zulfiqar A and Bibi, Sadia and Bintoro, Bagas Suryo and Bitaraf, Saeid and Bodicha, Belay Boda Abule and Boloor, Archith and Bouaoud, Souad and Brown, Julie and Burkart, Katrin and Butt, Nadeem Shafique and Butt, Muhammad Hammad and Cámera, Luis Alberto and Campuzano Rincon, Julio Cesar and Cao, Chao and Carvalho, Andre F and Carvalho, Márcia and Chakraborty, Promit Ananyo and Chandrasekar, Eeshwar K and Chang, Jung-Chen and Charalampous, Periklis and Charan, Jaykaran and Chattu, Vijay Kumar and Chekole, Bitew Mekonnen and Chitheer, Abdulaal and Cho, Daniel Youngwhan and Chopra, Hitesh and Christopher, Devasahayam J and Chukwu, Isaac Sunday and Cruz-Martins, Natália and Dadras, Omid and Dahlawi, Saad M A and Dai, Xiaochen and Damiani, Giovanni and Darmstadt, Gary L and Darvishi Cheshmeh Soltani, Reza and Darwesh, Aso Mohammad and Das, Saswati and Dastiridou, Anna and Debela, Sisay Abebe and Dehghan, Amin and Demeke, Getnet Makasha and Demetriades, Andreas K and Demissie, Solomon and Dessalegn, Fikadu Nugusu and Desta, Abebaw Alemayehu and Dianatinasab, Mostafa and Diao, Nancy and Dias da Silva, Diana and Diaz, Daniel and Digesa, Lankamo Ena and Diress, Mengistie and Djalalinia, Shirin and Doan, Linh Phuong and Dodangeh, Milad and Doku, Paul Narh and Dongarwar, Deepa and Dsouza, Haneil Larson and Eini, Ebrahim and Ekholuenetale, Michael and Ekundayo, Temitope Cyrus and Elagali, Ahmed Elabbas Mustafa and Elbahnasawy, Mostafa Ahmed and Elhabashy, Hala Rashad and Elhadi, Muhammed and El Sayed Zaki, Maysaa and Enyew, Daniel Berhanie and Erkhembayar, Ryenchindorj and Eskandarieh, Sharareh and Etaee, Farshid and Fagbamigbe, Adeniyi Francis and Faris, Pawan Sirwan and Farmany, Abbas and Faro, Andre and Farzadfar, Farshad and Fatehizadeh, Ali and Fereshtehnejad, Seyed-Mohammad and Feroze, Abdullah Hamid and Fetensa, Getahun and Feyisa, Bikila Regassa and Filip, Irina and Fischer, Florian and Foroutan, Behzad and Foroutan, Masoud and Fowobaje, Kayode Raphael and Franklin, Richard Charles and Fukumoto, Takeshi and Gaal, Peter Andras and Gadanya, Muktar A and Galali, Yaseen and Galehdar, Nasrin and Ganesan, Balasankar and Garg, Tushar and Gebrehiwot, Mesfin Gebrehiwot Damtew and Gebremariam, Yosef Haile and Gela, Yibeltal Yismaw and Gerema, Urge and Ghafourifard, Mansour and Ghamari, Seyyed-Hadi and Ghanbari, Reza and Ghasemi Nour, Mohammad and Gholamalizadeh, Maryam and Gholami, Ali and Gholamrezanezhad, Ali and Ghozy, Sherief and Gilani, Syed Amir and Gill, Tiffany K and Giné-Vázquez, Iago and Girma, Zeleke Abate and Glasbey, James C and Glozah, Franklin N and Golechha, Mahaveer and Goleij, Pouya and Grivna, Michal and Guadie, Habtamu Alganeh and Gunawardane, Damitha Asanga and Guo, Yuming and Gupta, Veer Bala and Gupta, Sapna and Gupta, Bhawna and Gupta, Vivek Kumar and Haj-Mirzaian, Arvin and Halwani, Rabih and Hamadeh, Randah R and Hameed, Sajid and Hanif, Asif and Hargono, Arief and Harlianto, Netanja I and Harorani, Mehdi and Hasaballah, Ahmed I and Hasan, S M Mahmudul and Hassan, Amr and Hassanipour, Soheil and Hassankhani, Hadi and Havmoeller, Rasmus J and Hay, Simon I and Heidari, Mohammad and Hendrie, Delia and Heyi, Demisu Zenbaba and Hiraike, Yuta and Holla, Ramesh and Horita, Nobuyuki and Hossain, Sheikh Jamal and Hossain, Mohammad Bellal Hossain and Hosseini Shabanan, Sedighe and Hosseinzadeh, Mehdi and Hostiuc, Sorin and Hoveidaei, Amir Human and Hsiao, Alexander Kevin and Hussain, Salman and Hussein, Amal and Ibitoye, Segun Emmanuel and Ilesanmi, Olayinka Stephen and Ilic, Irena M and Ilic, Milena D and Immurana, Mustapha and Inbaraj, Leeberk Raja and Islam, Sheikh Mohammed Shariful and Islam, Rakibul M and Islam, Mohammad Mainul and Ismail, Nahlah Elkudssiah and J, Linda Merin and Jahrami, Haitham and Jakovljevic, Mihajlo and Janodia, Manthan Dilipkumar and Javaheri, Tahereh and Jayapal, Sathish Kumar and Jayarajah, Umesh Umesh and Jayaraman, Sudha and Jeganathan, Jayakumar and Jemal, Bedru and Jha, Ravi Prakash and Jonas, Jost B and Joo, Tamas and Joseph, Nitin and Jozwiak, Jacek Jerzy and Jürisson, Mikk and Kabir, Ali and Kadashetti, Vidya and Kadir, Dler Hussein and Kalankesh, Laleh R and Kalankesh, Leila R and Kalhor, Rohollah and Kamal, Vineet Kumar and Kamath, Rajesh and Kandel, Himal and Kantar, Rami S and Kapoor, Neeti and Karami, Hassan and Karaye, Ibraheem M and Karkhah, Samad and Katoto, Patrick DMC and Kauppila, Joonas H and Kayode, Gbenga A and Keikavoosi-Arani, Leila and Keskin, Cumali and Khader, Yousef Saleh and Khajuria, Himanshu and Khammarnia, Mohammad and Khan, Ejaz Ahmad and Khan, Md Nuruzzaman and Khan, Maseer and Khan, Yusra H and Khan, Imteyaz A and Khan, Abbas and Khan, Moien AB and Khanali, Javad and Khatatbeh, Moawiah Mohammad and Khayat Kashani, Hamid Reza and Khubchandani, Jagdish and Kifle, Zemene Demelash and Kim, Jihee and Kim, Yun Jin and Kisa, Sezer and Kisa, Adnan and Kneib, Cameron J and Kompani, Farzad and Koohestani, Hamid Reza and Koul, Parvaiz A and Koulmane Laxminarayana, Sindhura Lakshmi and Koyanagi, Ai and Krishan, Kewal and Krishnamoorthy, Vijay and Kucuk Bicer, Burcu and Kumar, Nithin and Kumar, Naveen and Kumar, Narinder and Kumar, Manasi and Kurmi, Om P and Laflamme, Lucie and Lám, Judit and Landires, Iván and Larijani, Bagher and Lasrado, Savita and Lauriola, Paolo and La Vecchia, Carlo and Lee, Shaun Wen Huey and Lee, Yo Han and Lee, Sang-woong and Lee, Wei-Chen and Legesse, Samson Mideksa and Li, Shanshan and Lim, Stephen S and Lorenzovici, László and Luke, Amana Ogeto and Madadizadeh, Farzan and Madureira-Carvalho, Áurea M and Magdy Abd El Razek, Muhammed and Mahjoub, Soleiman and Mahmoodpoor, Ata and Mahmoudi, Razzagh and Mahmoudimanesh, Marzieh and Majeed, Azeem and Makki, Alaa and Malakan Rad, Elaheh and Malekpour, Mohammad-Reza and Malik, Ahmad Azam and Mallhi, Tauqeer Hussain and Malta, Deborah Carvalho and Mansouri, Borhan and Mansournia, Mohammad Ali and Mathews, Elezebeth and Maulud, Sazan Qadir and Mazingi, Dennis and Mehrabi Nasab, Entezar and Mendoza-Cano, Oliver and Menezes, Ritesh G and Mengistu, Dechasa Adare and Mentis, Alexios-Fotios A and Meretoja, Atte and Mesregah, Mohamed Kamal and Mestrovic, Tomislav and Micheletti Gomide Nogueira de Sá, Ana Carolina and Miller, Ted R and Mirghaderi, Seyed Peyman and Mirica, Andreea and Mirmoeeni, Seyyedmohammadsadeq and Mirrakhimov, Erkin M and Mirza, Moonis and Misra, Sanjeev and Mithra, Prasanna and Mittal, Chaitanya and Moberg, Madeline E and Mohammadi, Mokhtar and Mohammadi, Soheil and Mohammadi, Esmaeil and Mohammadpourhodki, Reza and Mohammed, Shafiu and Mohammed, Teroj Abdulrahman and Mohseni, Mohammad and Mokdad, Ali H and Momtazmanesh, Sara and Monasta, Lorenzo and Moni, Mohammad Ali and Moreira, Rafael Silveira and Morrison, Shane Douglas and Mostafavi, Ebrahim and Mousavi Isfahani, Haleh and Mubarik, Sumaira and Muccioli, Lorenzo and Mukherjee, Soumyadeep and Mulita, Francesk and Mustafa, Ghulam and Nagarajan, Ahamarshan Jayaraman and Naimzada, Mukhammad David and Nangia, Vinay and Nassereldine, Hasan and Natto, Zuhair S and Nayak, Biswa Prakash and Negoi, Ionut and Nejadghaderi, Seyed Aria and Nepal, Samata and Neupane Kandel, Sandhya and Noroozi, Nafise and Nuñez-Samudio, Virginia and Nzoputam, Ogochukwu Janet and Nzoputam, Chimezie Igwegbe and Ochir, Chimedsuren and Odhiambo, Julius Nyerere and Odukoya, Oluwakemi Ololade and Okati-Aliabad, Hassan and Okonji, Osaretin Christabel and Olagunju, Andrew T and Omar Bali, Ahmed and Omer, Emad and Otoiu, Adrian and Otstavnov, Stanislav S and Otstavnov, Nikita and Oumer, Bilcha and Owolabi, Mayowa O and P A, Mahesh and Padron-Monedero, Alicia and Padubidri, Jagadish Rao and Pahlevan Fallahy, Mohammad Taha and Panda-Jonas, Songhomitra and Pandi-Perumal, Seithikurippu R and Pardhan, Shahina and Park, Eun-Kee and Patel, Sangram Kishor and Pathan, Aslam Ramjan and Pati, Siddhartha and Paudel, Uttam and Pawar, Shrikant and Pedersini, Paolo and Peres, Mario F P and Petcu, Ionela-Roxana and Phillips, Michael R and Pillay, Julian David and Piracha, Zahra Zahid and Poursadeqiyan, Mohsen and Pourtaheri, Naeimeh and Qattea, Ibrahim and Radfar, Amir and Rafiee, Ata and Raghav, Pankaja Raghav and Rahim, Fakher and Rahman, Muhammad Aziz and Rahman, Firman Suryadi and Rahman, Mosiur and Rahmani, Amir Masoud and Rahmani, Shayan and Raj Moolambally, Sheetal and Ramazanu, Sheena and Ramezanzadeh, Kiana and Rana, Juwel and Rao, Chythra R and Rao, Sowmya J and Rashedi, Vahid and Rashidi, Mohammad-Mahdi and Rastogi, Prateek and Rasul, Azad and Rawaf, Salman and Rawaf, David Laith and Rawal, Lal and Rawassizadeh, Reza and Rezaei, Negar and Rezaei, Nazila and Rezaeian, Mohsen and Rezapour, Aziz and Riad, Abanoub and Riaz, Muhammad and Rickard, Jennifer and Rodriguez, Jefferson Antonio Buendia and Roever, Leonardo and Ronfani, Luca and Roy, Bedanta and S, Manjula and Saad, Aly M A and Sabour, Siamak and Sabzmakan, Leila and Saddik, Basema and Sadeghi, Malihe and Saeb, Mohammad Reza and Saeed, Umar and Saeedi Moghaddam, Sahar and Safi, Sher Zaman and Sahiledengle, Biniyam and Sahoo, Harihar and Sahraian, Mohammad Ali and Saki, Morteza and Salamati, Payman and Salehi, Sana and Salem, Marwa Rashad and Samy, Abdallah M and Sanabria, Juan and Santric-Milicevic, Milena M and Saqib, Muhammad Arif Nadeem and Sarikhani, Yaser and Sarveazad, Arash and Sathian, Brijesh and Satpathy, Maheswar and Saya, Ganesh Kumar and Schneider, Ione Jayce Ceola and Schwebel, David C and Seddighi, Hamed and Senthilkumaran, Subramanian and Seylani, Allen and Shabaninejad, Hosein and Shafeghat, Melika and Shah, Pritik A and Shahabi, Saeed and Shahbandi, Ataollah and Shahraki-Sanavi, Fariba and Shaikh, Masood Ali and Shaker, Elaheh and Shams-Beyranvand, Mehran and Shanawaz, Mohd and Shannawaz, Mohammed and Sharew, Mequannent Melaku Sharew and Sharma, Neeraj and Shashamo, Bereket Beyene and Shayan, Maryam and Sheikhi, Rahim Ali and Shen, Jiabin and Shetty, B Suresh Kumar and Shetty, Pavanchand H and Shin, Jae Il and Shitaye, Nebiyu Aniley and Shivakumar, K M and Shobeiri, Parnian and Shorofi, Seyed Afshin and Shrestha, Sunil and Siabani, Soraya and Sidemo, Negussie Boti and Simegn, Wudneh and Sinaei, Ehsan and Singh, Paramdeep and Sinto, Robert and Siraj, Md Shahjahan and Skryabin, Valentin Yurievich and Skryabina, Anna Aleksandrovna and Sleet, David A and S N, Chandan and Socea, Bogdan and Solmi, Marco and Solomon, Yonatan and Song, Yi and Sousa, Raúl A R C and Soyiri, Ireneous N and Stokes, Mark A and Suleman, Muhammad and Suliankatchi Abdulkader, Rizwan and Sun, Jing and Tabarés-Seisdedos, Rafael and Tabatabaei, Seyyed Mohammad and Tabish, Mohammad and Taheri, Ensiyeh and Taheri Soodejani, Moslem and Tampa, Mircea and Tan, Ker-Kan and Tarigan, Ingan Ukur and Tariqujjaman, Md and Tat, Nathan Y and Tat, Vivian Y and Tavakoli, Arash and Tefera, Belay Negash and Tefera, Yibekal Manaye and Temesgen, Gebremaryam and Temsah, Mohamad-Hani and Thangaraju, Pugazhenthan and Thapar, Rekha and Thomas, Nikhil Kenny and Ticoalu, Jansje Henny Vera and Tincho, Marius Belmondo and Tiyuri, Amir and Togtmol, Munkhsaikhan and Tovani-Palone, Marcos Roberto and Tran, Mai Thi Ngoc and Ullah, Sana and Ullah, Saif and Ullah, Irfan and Umakanthan, Srikanth and Unnikrishnan, Bhaskaran and Upadhyay, Era and Valadan Tahbaz, Sahel and Valdez, Pascual R and Vasankari, Tommi Juhani and Vaziri, Siavash and Veroux, Massimiliano and Vervoort, Dominique and Violante, Francesco S and Vlassov, Vasily and Vu, Linh Gia and Waheed, Yasir and Wang, Yanzhong and Wang, Yuan-Pang and Wang, Cong and Wiangkham, Taweewat and Wickramasinghe, Nuwan Darshana and Woday, Abay Tadesse and Wu, Ai-Min and Yahya, Gahin Abdulraheem Tayib and Yahyazadeh Jabbari, Seyed Hossein and Yang, Lin and Yaya, Sanni and Yigit, Arzu and Yiğit, Vahit and Yisihak, Eshetu and Yonemoto, Naohiro and You, Yuyi and Younis, Mustafa Z and Yu, Chuanhua and Yunusa, Ismaeel and Yusefi, Hossein and Zahir, Mazyar and Zaman, Sojib Bin and Zare, Iman and Zarea, Kourosh and Zastrozhin, Mikhail Sergeevich and Zhang, Zhi-Jiang and Zhang, Yunquan and Ziapour, Arash and Zodpey, Sanjay and Zoladl, Mohammad and Patton, George C and Ivers, Rebecca Q},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35779567},\n\tpmcid = {PMC9329128},\n\tkeywords = {Stata, GBD, Global Burden of Disease},\n\tpages = {E657--E669},\n\tfile = {Pedenetal-2022-Adolescent_transport_and_unintentional_injuries.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Pedenetal-2022-Adolescent_transport_and_unintentional_injuries.pdf:application/pdf;Pedenetal-2022-Adolescent_transport_and_unintentional_injuries2.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Pedenetal-2022-Adolescent_transport_and_unintentional_injuries2.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Global, regional, and national burden of diseases and injuries for adults 70 years and older: systematic analysis for the Global Burden of Disease 2019 Study.\n \n \n \n \n\n\n \n Tyrovolas, S.; Stergachis, A.; Krish, V. S.; Chang, A. Y.; Skirbekk, V.; Dieleman, J. L.; Chatterji, S.; Gine-Vazquez, I.; Peden, A. E.; Kotsakis, G. A.; and Kassebaum, N. J.\n\n\n \n\n\n\n BMJ,e068208. March 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"Global,$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{tyrovolas_global_2022,\n\ttitle = {Global, regional, and national burden of diseases and injuries for adults 70 years and older: systematic analysis for the {Global} {Burden} of {Disease} 2019 {Study}},\n\tcopyright = {All rights reserved},\n\tissn = {1756-1833},\n\tshorttitle = {Global, regional, and national burden of diseases and injuries for adults 70 years and older},\n\turl = {https://www.bmj.com/lookup/doi/10.1136/bmj-2021-068208},\n\tdoi = {10.1136/bmj-2021-068208},\n\tabstract = {Abstract\n            \n              Objectives\n              To use data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) to estimate mortality and disability trends for the population aged ≥70 and evaluate patterns in causes of death, disability, and risk factors.\n            \n            \n              Design\n              Systematic analysis.\n            \n            \n              Setting\n              Participants were aged ≥70 from 204 countries and territories, 1990-2019.\n            \n            \n              Main outcomes measures\n              Years of life lost, years lived with disability, disability adjusted life years, life expectancy at age 70 (LE-70), healthy life expectancy at age 70 (HALE-70), proportion of years in ill health at age 70 (PYIH-70), risk factors, and data coverage index were estimated based on standardised GBD methods.\n            \n            \n              Results\n              Globally the population of older adults has increased since 1990 and all cause death rates have decreased for men and women. However, mortality rates due to falls increased between 1990 and 2019. The probability of death among people aged 70-90 decreased, mainly because of reductions in non-communicable diseases. Globally disability burden was largely driven by functional decline, vision and hearing loss, and symptoms of pain. LE-70 and HALE-70 showed continuous increases since 1990 globally, with certain regional disparities. Globally higher LE-70 resulted in higher HALE-70 and slightly increased PYIH-70. Sociodemographic and healthcare access and quality indices were positively correlated with HALE-70 and LE-70. For high exposure risk factors, data coverage was moderate, while limited data were available for various dietary, environmental or occupational, and metabolic risks.\n            \n            \n              Conclusions\n              Life expectancy at age 70 has continued to rise globally, mostly because of decreases in chronic diseases. Adults aged ≥70 living in high income countries and regions with better healthcare access and quality were found to experience the highest life expectancy and healthy life expectancy. Disability burden, however, remained constant, suggesting the need to enhance public health and intervention programmes to improve wellbeing among older adults.},\n\tlanguage = {en},\n\turldate = {2022-05-03},\n\tjournal = {BMJ},\n\tauthor = {Tyrovolas, Stefanos and Stergachis, Andy and Krish, Varsha Sarah and Chang, Angela Y. and Skirbekk, Vegard and Dieleman, Joseph L. and Chatterji, Somnath and Gine-Vazquez, Iago and Peden, Amy E. and Kotsakis, Georgios A. and Kassebaum, Nicholas J.},\n\tmonth = mar,\n\tyear = {2022},\n\tpmid = {35273014},\n\tpmcid = {PMC9316948},\n\tkeywords = {Humans, Aged, Aged, 80 and over, Male, Risk Factors, Female, GBD, Global Burden of Disease, Cost of Illness, Disability Evaluation, Global Burden of Disease, Life Expectancy, Mortality, Wounds and Injuries},\n\tpages = {e068208},\n\tfile = {GBD_2019_Ageing_Collaborators-2022-Global,_regional,_and_national_burden_of_diseases_and_injuries_for_adults_70_AD.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/GBD_2019_Ageing_Collaborators-2022-Global,_regional,_and_national_burden_of_diseases_and_injuries_for_adults_70_AD.pdf:application/pdf;GBD_2019_Ageing_Collaborators-2022-Global,_regional,_and_national_burden_of_diseases_and_injuries_for_adults_70_SM.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/GBD_2019_Ageing_Collaborators-2022-Global,_regional,_and_national_burden_of_diseases_and_injuries_for_adults_70_SM.pdf:application/pdf;GBD_2019_Ageing_Collaborators-2022-Global,_regional,_and_national_burden_of_diseases_and_injuries_for_adults_70.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/GBD_2019_Ageing_Collaborators-2022-Global,_regional,_and_national_burden_of_diseases_and_injuries_for_adults_70.pdf:application/pdf},\n}\n\n

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\n Abstract Objectives To use data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) to estimate mortality and disability trends for the population aged ≥70 and evaluate patterns in causes of death, disability, and risk factors. Design Systematic analysis. Setting Participants were aged ≥70 from 204 countries and territories, 1990-2019. Main outcomes measures Years of life lost, years lived with disability, disability adjusted life years, life expectancy at age 70 (LE-70), healthy life expectancy at age 70 (HALE-70), proportion of years in ill health at age 70 (PYIH-70), risk factors, and data coverage index were estimated based on standardised GBD methods. Results Globally the population of older adults has increased since 1990 and all cause death rates have decreased for men and women. However, mortality rates due to falls increased between 1990 and 2019. The probability of death among people aged 70-90 decreased, mainly because of reductions in non-communicable diseases. Globally disability burden was largely driven by functional decline, vision and hearing loss, and symptoms of pain. LE-70 and HALE-70 showed continuous increases since 1990 globally, with certain regional disparities. Globally higher LE-70 resulted in higher HALE-70 and slightly increased PYIH-70. Sociodemographic and healthcare access and quality indices were positively correlated with HALE-70 and LE-70. For high exposure risk factors, data coverage was moderate, while limited data were available for various dietary, environmental or occupational, and metabolic risks. Conclusions Life expectancy at age 70 has continued to rise globally, mostly because of decreases in chronic diseases. Adults aged ≥70 living in high income countries and regions with better healthcare access and quality were found to experience the highest life expectancy and healthy life expectancy. Disability burden, however, remained constant, suggesting the need to enhance public health and intervention programmes to improve wellbeing among older adults.\n

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\n \n\n \n \n \n \n \n \n trouBBlme4SolveR: Troubles Solver for 'lme4'.\n \n \n \n \n\n\n \n Giné-Vázquez, I.\n\n\n \n\n\n\n 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"trouBBlme4SolveR:$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n

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@misc{gine-vazquez_troubblme4solver_2022,\n\ttitle = {{trouBBlme4SolveR}: {Troubles} {Solver} for 'lme4'},\n\tshorttitle = {{trouBBlme4SolveR}},\n\turl = {https://CRAN.R-project.org/package=trouBBlme4SolveR},\n\tabstract = {The main function of the package aims to update 'lmer()'/'glmer()' models depending on their warnings, so trying to avoid convergence and singularity problems.},\n\tauthor = {Giné-Vázquez, Iago},\n\tyear = {2022},\n\tkeywords = {R-project, lme4, trouBBlme4SolveR},\n}\n\n

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\n \n\n \n \n \n \n \n \n GramQuad: Gram Quadrature.\n \n \n \n \n\n\n \n Giné-Vázquez, I.\n\n\n \n\n\n\n 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"GramQuad:$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@misc{gine-vazquez_gramquad_2022,\n\ttitle = {{GramQuad}: {Gram} {Quadrature}},\n\tshorttitle = {{GramQuad}},\n\turl = {https://CRAN.R-project.org/package=GramQuad},\n\tabstract = {Numerical integration with Gram polynomials (based on {\\textless}arXiv:2106.14875{\\textgreater} [math.NA] 28 Jun 2021, by Irfan Muhammad [School of Computer Science, University of Birmingham, UK]).},\n\tauthor = {Giné-Vázquez, Iago},\n\tcollaborator = {Muhammad, Irfan},\n\tyear = {2022},\n\tkeywords = {R-project, compiler, GramQuad, pracma},\n}\n\n

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\n \n 2021\n \n \n (6)\n \n \n

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\n \n\n \n \n \n \n \n \n Heterogeneity in the Effectiveness of Non-pharmaceutical Interventions During the First SARS-CoV2 Wave in the United States.\n \n \n \n \n\n\n \n Pan, W. K.; Fernández, D.; Tyrovolas, S.; Giné-Vázquez, I.; Dasgupta, R. R.; Zaitchik, B. F.; Lantos, P. M.; and Woods, C. W.\n\n\n \n\n\n\n Frontiers in Public Health, 9: 754696. November 2021.\n \n\n\n\n
\n\n\n\n \n \n $\"Heterogeneity$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n\n\n\n

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@article{pan_heterogeneity_2021,\n\ttitle = {Heterogeneity in the {Effectiveness} of {Non}-pharmaceutical {Interventions} {During} the {First} {SARS}-{CoV2} {Wave} in the {United} {States}},\n\tvolume = {9},\n\tcopyright = {All rights reserved},\n\tissn = {2296-2565},\n\turl = {https://www.frontiersin.org/articles/10.3389/fpubh.2021.754696/full},\n\tdoi = {10.3389/fpubh.2021.754696},\n\tabstract = {Background:\n              Attempts to quantify effect sizes of non-pharmaceutical interventions (NPI) to control COVID-19 in the US have not accounted for heterogeneity in social or environmental factors that may influence NPI effectiveness. This study quantifies national and sub-national effect sizes of NPIs during the early months of the pandemic in the US.\n            \n            \n              Methods:\n              Daily county-level COVID-19 cases and deaths during the first wave (January 2020 through phased removal of interventions) were obtained. County-level cases, doubling times, and death rates were compared to four increasingly restrictive NPI levels. Socio-demographic, climate and mobility factors were analyzed to explain and evaluate NPI heterogeneity, with mobility used to approximate NPI compliance. Analyses were conducted separately for the US and for each Census regions (Pacific, Mountain, east/West North Central, East/West South Central, South Atlantic, Middle Atlantic and New England). A stepped-wedge cluster-randomized trial analysis was used, leveraging the phased implementation of policies.\n            \n            \n              Results:\n              Aggressive (level 4) NPIs were associated with slower COVID-19 propagation, particularly in high compliance counties. Longer duration of level 4 NPIs was associated with lower case rates (log beta −0.028, 95\\% CI −0.04 to −0.02) and longer doubling times (log beta 0.02, 95\\% CI 0.01–0.03). Effects varied by Census region, for example, level 4 effects on doubling time in Pacific states were opposite to those in Middle Atlantic and New England states. NPI heterogeneity can be explained by differential timing of policy initiation and by variable socio-demographic county characteristics that predict compliance, particularly poverty and racial/ethnic population. Climate exhibits relatively consistent relationships across Census regions, for example, higher minimum temperature and specific humidity were associated with lower doubling times and higher death rates for this period of analysis in South Central, South Atlantic, Middle Atlantic, and New England states.\n            \n            \n              Conclusion and Relevance:\n              Heterogeneity exists in both the effectiveness of NPIs across US Census regions and policy compliance. This county-level variability indicates that control strategies are best designed at community-levels where policies can be tuned based on knowledge of local disparities and compliance with public health ordinances.},\n\turldate = {2021-12-03},\n\tjournal = {Frontiers in Public Health},\n\tauthor = {Pan, William K. and Fernández, Daniel and Tyrovolas, Stefanos and Giné-Vázquez, Iago and Dasgupta, Rishav Raj and Zaitchik, Benjamin F. and Lantos, Paul M. and Woods, Christopher W.},\n\tmonth = nov,\n\tyear = {2021},\n\tpmcid = {PMC8666663},\n\tpmid = {34912768},\n\tkeywords = {SAS, COVID-19},\n\tpages = {754696},\n\tfile = {Panetal-2021-Heterogeneity_in_the_Effectiveness_of_Non-pharmaceutical_Interventions_During.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Panetal-2021-Heterogeneity_in_the_Effectiveness_of_Non-pharmaceutical_Interventions_During.pdf:application/pdf},\n}\n\n

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\n Background: Attempts to quantify effect sizes of non-pharmaceutical interventions (NPI) to control COVID-19 in the US have not accounted for heterogeneity in social or environmental factors that may influence NPI effectiveness. This study quantifies national and sub-national effect sizes of NPIs during the early months of the pandemic in the US. Methods: Daily county-level COVID-19 cases and deaths during the first wave (January 2020 through phased removal of interventions) were obtained. County-level cases, doubling times, and death rates were compared to four increasingly restrictive NPI levels. Socio-demographic, climate and mobility factors were analyzed to explain and evaluate NPI heterogeneity, with mobility used to approximate NPI compliance. Analyses were conducted separately for the US and for each Census regions (Pacific, Mountain, east/West North Central, East/West South Central, South Atlantic, Middle Atlantic and New England). A stepped-wedge cluster-randomized trial analysis was used, leveraging the phased implementation of policies. Results: Aggressive (level 4) NPIs were associated with slower COVID-19 propagation, particularly in high compliance counties. Longer duration of level 4 NPIs was associated with lower case rates (log beta −0.028, 95% CI −0.04 to −0.02) and longer doubling times (log beta 0.02, 95% CI 0.01–0.03). Effects varied by Census region, for example, level 4 effects on doubling time in Pacific states were opposite to those in Middle Atlantic and New England states. NPI heterogeneity can be explained by differential timing of policy initiation and by variable socio-demographic county characteristics that predict compliance, particularly poverty and racial/ethnic population. Climate exhibits relatively consistent relationships across Census regions, for example, higher minimum temperature and specific humidity were associated with lower doubling times and higher death rates for this period of analysis in South Central, South Atlantic, Middle Atlantic, and New England states. Conclusion and Relevance: Heterogeneity exists in both the effectiveness of NPIs across US Census regions and policy compliance. This county-level variability indicates that control strategies are best designed at community-levels where policies can be tuned based on knowledge of local disparities and compliance with public health ordinances.\n

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\n \n\n \n \n \n \n \n \n Changes in Health Behaviors, Mental and Physical Health among Older Adults under Severe Lockdown Restrictions during the COVID-19 Pandemic in Spain.\n \n \n \n \n\n\n \n García-Esquinas, E.; Ortolá, R.; Gine-Vázquez, I.; Carnicero, J. A.; Mañas, A.; Lara, E.; Alvarez-Bustos, A.; Vicente-Rodriguez, G.; Sotos-Prieto, M.; Olaya, B.; Garcia-Garcia, F. J.; Gusi, N.; Banegas, J. R.; Rodríguez-Gómez, I.; Struijk, E. A.; Martínez-Gómez, D.; Lana, A.; Haro, J. M.; Ayuso-Mateos, J. L.; Rodríguez-Mañas, L.; Ara, I.; Miret, M.; and Rodríguez-Artalejo, F.\n\n\n \n\n\n\n International Journal of Environmental Research and Public Health, 18(13): 7067. July 2021.\n Publisher: Multidisciplinary Digital Publishing Institute\n\n\n\n
\n\n\n\n \n \n $\"Changes$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{garcia-esquinas_changes_2021,\n\ttitle = {Changes in {Health} {Behaviors}, {Mental} and {Physical} {Health} among {Older} {Adults} under {Severe} {Lockdown} {Restrictions} during the {COVID}-19 {Pandemic} in {Spain}},\n\tvolume = {18},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\turl = {https://www.mdpi.com/1660-4601/18/13/7067},\n\tdoi = {10.3390/ijerph18137067},\n\tabstract = {We used data from 3041 participants in four cohorts of community-dwelling individuals aged ≥65 years in Spain collected through a pre-pandemic face-to-face interview and a telephone interview conducted between weeks 7 to 15 after the beginning of the COVID-19 lockdown. On average, the confinement was not associated with a deterioration in lifestyle risk factors (smoking, alcohol intake, diet, or weight), except for a decreased physical activity and increased sedentary time, which reversed with the end of confinement. However, chronic pain worsened, and moderate declines in mental health, that did not seem to reverse after restrictions were lifted, were observed. Males, older adults with greater social isolation or greater feelings of loneliness, those with poorer housing conditions, as well as those with a higher prevalence of chronic morbidities were at increased risk of developing unhealthier lifestyles or mental health declines with confinement. On the other hand, previously having a greater adherence to the Mediterranean diet and doing more physical activity protected older adults from developing unhealthier lifestyles with confinement. If another lockdown were imposed during this or future pandemics, public health programs should specially address the needs of older individuals with male sex, greater social isolation, sub-optimal housing conditions, and chronic morbidities because of their greater vulnerability to the enacted movement restrictions.},\n\tlanguage = {en},\n\tnumber = {13},\n\turldate = {2021-07-01},\n\tjournal = {International Journal of Environmental Research and Public Health},\n\tauthor = {García-Esquinas, Esther and Ortolá, Rosario and Gine-Vázquez, Iago and Carnicero, José A. and Mañas, Asier and Lara, Elvira and Alvarez-Bustos, Alejandro and Vicente-Rodriguez, German and Sotos-Prieto, Mercedes and Olaya, Beatriz and Garcia-Garcia, Francisco José and Gusi, Narcis and Banegas, Jose R. and Rodríguez-Gómez, Irene and Struijk, Ellen A. and Martínez-Gómez, David and Lana, Alberto and Haro, Josep María and Ayuso-Mateos, José Luis and Rodríguez-Mañas, Leocadio and Ara, Ignacio and Miret, Marta and Rodríguez-Artalejo, Fernando},\n\tmonth = jul,\n\tyear = {2021},\n\tpmid = {34281004},\n\tpmcid = {PMC8297096},\n\tnote = {Publisher: Multidisciplinary Digital Publishing Institute},\n\tkeywords = {Stata, COVID-19, elderly, chronic pain, confinement, lifestyle behaviors, lockdown, mental health},\n\tpages = {7067},\n\tfile = {Garcia-Esquinasetal-2021-Changes_in_Health_Behaviors,_Mental_and_Physical_Health_among_Older_Adults.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Garcia-Esquinasetal-2021-Changes_in_Health_Behaviors,_Mental_and_Physical_Health_among_Older_Adults.pdf:application/pdf;ijerph-18-07067-s001.zip:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/ijerph-18-07067-s001.zip:application/zip},\n}\n\n

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\n \n\n \n \n \n \n \n \n Estimating the COVID-19 Spread Through Real-time Population Mobility Patterns: Surveillance in Low- and Middle-Income Countries.\n \n \n \n \n\n\n \n Tyrovolas, S.; Giné-Vázquez, I.; Fernández, D.; Morena, M.; Koyanagi, A.; Janko, M.; Haro, J. M.; Lin, Y.; Lee, P.; Pan, W.; Panagiotakos, D.; and Molassiotis, A.\n\n\n \n\n\n\n Journal of Medical Internet Research, 23(6): e22999. June 2021.\n \n\n\n\n
\n\n\n\n \n \n $\"Estimating$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{tyrovolas_estimating_2021,\n\ttitle = {Estimating the {COVID}-19 {Spread} {Through} {Real}-time {Population} {Mobility} {Patterns}: {Surveillance} in {Low}- and {Middle}-{Income} {Countries}},\n\tvolume = {23},\n\tcopyright = {All rights reserved},\n\tissn = {1438-8871},\n\tshorttitle = {Estimating the {COVID}-19 {Spread} {Through} {Real}-time {Population} {Mobility} {Patterns}},\n\turl = {https://www.jmir.org/2021/6/e22999},\n\tdoi = {10.2196/22999},\n\tabstract = {Background\n              On January 21, 2020, the World Health Organization reported the first case of severe acute respiratory syndrome coronavirus 2, which rapidly evolved to the COVID-19 pandemic. Since then, the virus has also rapidly spread among Latin American, Caribbean, and African countries.\n            \n            \n              Objective\n              The first aim of this study is to identify new emerging COVID-19 clusters over time and space (from January 21 to mid-May 2020) in Latin American, Caribbean, and African regions, using a prospective space–time scan measurement approach. The second aim is to assess the impact of real-time population mobility patterns between January 21 and May 18, 2020, under the implemented government interventions, measurements, and policy restrictions on COVID-19 spread among those regions and worldwide.\n            \n            \n              Methods\n              We created a global COVID-19 database, of 218 countries and territories, merging the World Health Organization daily case reports with other measures such as population density and country income levels for January 21 to May 18, 2020. A score of government policy interventions was created for low, intermediate, high, and very high interventions. The population’s mobility patterns at the country level were\nobtained from Google community mobility reports. The prospective space–time scan statistic method was applied in five time periods between January and May 2020, and a regression mixed model analysis was used.\n            \n            \n              Results\n              We found that COVID-19 emerging clusters within these five periods of time increased from 7 emerging clusters to 28 by mid-May 2020. We also detected various increasing and decreasing relative risk estimates of COVID-19 spread among Latin American, Caribbean, and African countries within the period of analysis. Globally, population mobility to parks and similar leisure areas during at least a minimum of implemented intermediate-level control policies (when compared to low-level control policies) was related to accelerated COVID-19 spread. Results were almost consistent when regional stratified analysis was applied. In addition, worldwide population mobility due to working during high implemented control policies and very high implemented control policies, when compared to low-level control policies, was related to positive COVID-19 spread.\n            \n            \n              Conclusions\n              The prospective space–time scan is an approach that low-income and middle-income countries could use to detect emerging clusters in a timely manner and implement specific control policies and interventions to slow down COVID-19 transmission. In addition, real-time population mobility obtained from crowdsourced digital data could be useful for current and future targeted public health and mitigation policies at a global and regional level.},\n\tlanguage = {en},\n\tnumber = {6},\n\turldate = {2021-06-15},\n\tjournal = {Journal of Medical Internet Research},\n\tauthor = {Tyrovolas, Stefanos and Giné-Vázquez, Iago and Fernández, Daniel and Morena, Marianthi and Koyanagi, Ai and Janko, Mark and Haro, Josep Maria and Lin, Yang and Lee, Paul and Pan, William and Panagiotakos, Demosthenes and Molassiotis, Alex},\n\tmonth = jun,\n\tyear = {2021},\n\tpmid = {33950850},\n\tpmcid = {PMC8204939},\n\tkeywords = {R-project, COVID-19, glmmTMB, scanstatistics},\n\tpages = {e22999},\n\tfile = {jmir_v23i6e22999_app1.docx:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/jmir_v23i6e22999_app1.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document;Tyrovolasetal-2021-Estimating_the_COVID-19_Spread_Through_Real-time_Population_Mobility_Patterns.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Tyrovolasetal-2021-Estimating_the_COVID-19_Spread_Through_Real-time_Population_Mobility_Patterns.pdf:application/pdf},\n}\n\n

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\n Background On January 21, 2020, the World Health Organization reported the first case of severe acute respiratory syndrome coronavirus 2, which rapidly evolved to the COVID-19 pandemic. Since then, the virus has also rapidly spread among Latin American, Caribbean, and African countries. Objective The first aim of this study is to identify new emerging COVID-19 clusters over time and space (from January 21 to mid-May 2020) in Latin American, Caribbean, and African regions, using a prospective space–time scan measurement approach. The second aim is to assess the impact of real-time population mobility patterns between January 21 and May 18, 2020, under the implemented government interventions, measurements, and policy restrictions on COVID-19 spread among those regions and worldwide. Methods We created a global COVID-19 database, of 218 countries and territories, merging the World Health Organization daily case reports with other measures such as population density and country income levels for January 21 to May 18, 2020. A score of government policy interventions was created for low, intermediate, high, and very high interventions. The population’s mobility patterns at the country level were obtained from Google community mobility reports. The prospective space–time scan statistic method was applied in five time periods between January and May 2020, and a regression mixed model analysis was used. Results We found that COVID-19 emerging clusters within these five periods of time increased from 7 emerging clusters to 28 by mid-May 2020. We also detected various increasing and decreasing relative risk estimates of COVID-19 spread among Latin American, Caribbean, and African countries within the period of analysis. Globally, population mobility to parks and similar leisure areas during at least a minimum of implemented intermediate-level control policies (when compared to low-level control policies) was related to accelerated COVID-19 spread. Results were almost consistent when regional stratified analysis was applied. In addition, worldwide population mobility due to working during high implemented control policies and very high implemented control policies, when compared to low-level control policies, was related to positive COVID-19 spread. Conclusions The prospective space–time scan is an approach that low-income and middle-income countries could use to detect emerging clusters in a timely manner and implement specific control policies and interventions to slow down COVID-19 transmission. In addition, real-time population mobility obtained from crowdsourced digital data could be useful for current and future targeted public health and mitigation policies at a global and regional level.\n

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\n \n\n \n \n \n \n \n \n Organized breast cancer screening not only reduces mortality from breast cancer but also significantly decreases disability-adjusted life years: analysis of the Global Burden of Disease Study and screening programme availability in 130 countries.\n \n \n \n \n\n\n \n Molassiotis, A.; Tyrovolas, S.; Giné-Vázquez, I.; Yeo, W.; Aapro, M.; and Herrstedt, J.\n\n\n \n\n\n\n ESMO Open, 6(3): 100111. June 2021.\n \n\n\n\n
\n\n\n\n \n \n $\"Organized$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{molassiotis_organized_2021,\n\ttitle = {Organized breast cancer screening not only reduces mortality from breast cancer but also significantly decreases disability-adjusted life years: analysis of the {Global} {Burden} of {Disease} {Study} and screening programme availability in 130 countries},\n\tvolume = {6},\n\tcopyright = {All rights reserved},\n\tissn = {20597029},\n\tshorttitle = {Organized breast cancer screening not only reduces mortality from breast cancer but also significantly decreases disability-adjusted life years},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S2059702921000697},\n\tdoi = {10.1016/j.esmoop.2021.100111},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2021-04-24},\n\tjournal = {ESMO Open},\n\tauthor = {Molassiotis, A. and Tyrovolas, S. and Giné-Vázquez, I. and Yeo, W. and Aapro, M. and Herrstedt, J.},\n\tmonth = jun,\n\tyear = {2021},\n\tpmid = {33892452},\n\tpmcid = {PMC8085709},\n\tkeywords = {R-project, GBD, Global Burden of Disease, lme4},\n\tpages = {100111},\n\tfile = {Molassiotisetal-2021-Organized_breast_cancer_screening_not_only_reduces_mortality_from_breast_cancer.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Molassiotisetal-2021-Organized_breast_cancer_screening_not_only_reduces_mortality_from_breast_cancer.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Global, regional, and national burden of aortic aneurysm, 1990–2017: a systematic analysis of the Global Burden of Disease Study 2017.\n \n \n \n \n\n\n \n Tyrovolas, S.; Tyrovola, D.; Giné-Vázquez, I.; Koyanagi, A.; Bernabe-Ortiz, A.; Rodriguez-Artalejo, F.; Haro, J. M.; Pan, W. K; Miranda, J J.; and Panagiotakos, D.\n\n\n \n\n\n\n European Journal of Preventive Cardiology,zwab015. March 2021.\n \n\n\n\n
\n\n\n\n \n \n $\"Global,$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{tyrovolas_global_2021,\n\ttitle = {Global, regional, and national burden of aortic aneurysm, 1990–2017: a systematic analysis of the {Global} {Burden} of {Disease} {Study} 2017},\n\tcopyright = {All rights reserved},\n\tissn = {2047-4873, 2047-4881},\n\tshorttitle = {Global, regional, and national burden of aortic aneurysm, 1990–2017},\n\turl = {https://academic.oup.com/eurjpc/advance-article/doi/10.1093/eurjpc/zwab015/6202998},\n\tdoi = {10.1093/eurjpc/zwab015},\n\tabstract = {Abstract\n            \n              Aims\n              This study aimed at evaluating the age, sex, and country-income patterns in aortic aneurysm disease burden, analysing trends in mortality and years of life lost (YLLs), as well as their causal drivers and risk factors, using the 2017 Global Burden of Diseases, Injuries, and Risk Factors Study (GBD 2017).\n            \n            \n              Methods and results\n              We described the temporal, global, and regional (195 countries) patterns of aortic aneurysm (thoracic and abdominal) mortality, YLLs, their drivers [sociodemographic index (SDI), healthcare access and quality index (HAQ index)] and risk factors using the GBD 1990–2017. Correlation and mixed multilevel modelling between aortic aneurysm mortality, YLLs, HAQ index and other variables were applied. From 1990 to 2017, a global declining trend in age-standardized aortic aneurysm mortality was found [2.88 deaths/100 000 (95\\% uncertainty intervals, UI 2.79 to 3.03) in 1990 and 2.19 deaths/100 000 (95\\% UI 2.09 to 2.28) in 2017]. Among high-income countries (HICs) a consistent declining Spearman’s correlation between age-standardised aortic aneurysm mortality, SDI (HICs; 1990 rho: 0.57, P ≤ 0.001; 2017 rho: 0.41, P = 0.001) and HAQ index was observed (HICs; 1990 rho: 0.50, P \\&lt;0.001; 2016 rho: 0.35, P = 0.006); in comparison with low- and middle-income countries where correlation trends were weak and mixed. At a global level, higher HAQ index was related with lower aortic aneurysm mortality and YLLs [mortality, coef: −0.05, 95\\% confidence interval (CI): −0.06, −0.04; YLLs, coef: −0.94, 95\\% CI: −1.17, −0.71].\n            \n            \n              Conclusions\n              Age-standardized aortic aneurysm mortality declined globally between 1990 and 2017. Globally, age-standardized aortic aneurysm mortality and YLLs were related to changes in SDI and HAQ index levels, while country-level income-related variations were also observed.},\n\tlanguage = {en},\n\turldate = {2021-04-06},\n\tjournal = {European Journal of Preventive Cardiology},\n\tauthor = {Tyrovolas, Stefanos and Tyrovola, Dimitra and Giné-Vázquez, Iago and Koyanagi, Ai and Bernabe-Ortiz, Antonio and Rodriguez-Artalejo, Fernando and Haro, Josep Maria and Pan, William K and Miranda, J Jaime and Panagiotakos, Demosthenes},\n\tmonth = mar,\n\tyear = {2021},\n\tpmid = {33783496},\n\tkeywords = {R-project, GBD, Global Burden of Disease, glmmTMB},\n\tpages = {zwab015},\n\tfile = {Tyrovolasetal-2021-Global,_regional,_and_national_burden_of_aortic_aneurysm,_1990–2017.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Tyrovolasetal-2021-Global,_regional,_and_national_burden_of_aortic_aneurysm,_1990–2017.pdf:application/pdf;zwab015_supplementary_data.docx:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/zwab015_supplementary_data.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document},\n}\n\n

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\n \n\n \n \n \n \n \n \n Are environmental pollution and biodiversity levels associated to the spread and mortality of COVID-19? A four-month global analysis.\n \n \n \n \n\n\n \n Fernández, D.; Giné-Vázquez, I.; Liu, I.; Yucel, R.; Nai Ruscone, M.; Morena, M.; García, V. G.; Haro, J. M.; Pan, W.; and Tyrovolas, S.\n\n\n \n\n\n\n Environmental Pollution, 271: 116326. February 2021.\n \n\n\n\n
\n\n\n\n \n \n $\"Are$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{fernandez_are_2021,\n\ttitle = {Are environmental pollution and biodiversity levels associated to the spread and mortality of {COVID}-19? {A} four-month global analysis},\n\tvolume = {271},\n\tcopyright = {All rights reserved},\n\tissn = {02697491},\n\tshorttitle = {Are environmental pollution and biodiversity levels associated to the spread and mortality of {COVID}-19?},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0269749120370159},\n\tdoi = {10.1016/j.envpol.2020.116326},\n\tlanguage = {en},\n\turldate = {2021-02-14},\n\tjournal = {Environmental Pollution},\n\tauthor = {Fernández, Daniel and Giné-Vázquez, Iago and Liu, Ivy and Yucel, Recai and Nai Ruscone, Marta and Morena, Marianthi and García, Víctor Gerardo and Haro, Josep Maria and Pan, William and Tyrovolas, Stefanos},\n\tmonth = feb,\n\tyear = {2021},\n\tpmid = {33412447},\n\tpmcid = {PMC7752029},\n\tkeywords = {R-project, COVID-19, glmmTMB, INLA, R-INLA, tscount},\n\tpages = {116326},\n\tfile = {1-s2.0-S0269749120370159-mmc1.docx:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/1-s2.0-S0269749120370159-mmc1.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document;Fernándezetal-2021-Areenvironmental.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Fernándezetal-2021-Areenvironmental.pdf:application/pdf},\n}\n\n

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\n \n 2020\n \n \n (7)\n \n \n

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\n \n\n \n \n \n \n \n \n Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium.\n \n \n \n \n\n\n \n Sanchez-Niubo, A.; Forero, C. G.; Wu, Y.; Giné-Vázquez, I.; Prina, M.; Fuente, J. D. L.; Daskalopoulou, C.; Critselis, E.; Torre-Luque, A. D. L.; Panagiotakos, D.; Arndt, H.; Ayuso-Mateos, J. L.; Bayes-Marin, I.; Bickenbach, J.; Bobak, M.; Caballero, F. F.; Chatterji, S.; Egea-Cortés, L.; García-Esquinas, E.; Leonardi, M.; Koskinen, S.; Koupil, I.; Mellor-Marsá, B.; Olaya, B.; Pająk, A.; Prince, M.; Raggi, A.; Rodríguez-Artalejo, F.; Sanderson, W.; Scherbov, S.; Tamosiunas, A.; Tobias-Adamczyk, B.; Tyrovolas, S.; and Haro, J. M.\n\n\n \n\n\n\n International Journal of Epidemiology,dyaa236. December 2020.\n Publisher: Oxford University Press (OUP) eprint: https://academic.oup.com/ije/advance-article-pdf/doi/10.1093/ije/dyaa236/34695114/dyaa236.pdf\n\n\n\n
\n\n\n\n \n \n $\"Development$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{sanchez-niubo_development_2020,\n\ttitle = {Development of a common scale for measuring healthy ageing across the world: results from the {ATHLOS} consortium},\n\tcopyright = {All rights reserved},\n\tissn = {0300-5771},\n\turl = {https://doi.org/10.1093%2Fije%2Fdyaa236},\n\tdoi = {10.1093/ije/dyaa236},\n\tabstract = {Research efforts to measure the concept of healthy ageing have been diverse and limited to specific populations. This diversity limits the potential to compare healthy ageing across countries and/or populations. In this study, we developed a novel measurement scale of healthy ageing using worldwide cohorts.In the Ageing Trajectories of Health-Longitudinal Opportunities and Synergies (ATHLOS) project, data from 16 international cohorts were harmonized. Using ATHLOS data, an item response theory (IRT) model was used to develop a scale with 41 items related to health and functioning. Measurement heterogeneity due to intra-dataset specificities was detected, applying differential item functioning via a logistic regression framework. The model accounted for specificities in model parameters by introducing cohort-specific parameters that rescaled scores to the main scale, using an equating procedure. Final scores were estimated for all individuals and converted to T-scores with a mean of 50 and a standard deviation of 10.A common scale was created for 343 915 individuals above 18 years of age from 16 studies. The scale showed solid evidence of concurrent validity regarding various sociodemographic, life and health factors, and convergent validity with healthy life expectancy (r = 0.81) and gross domestic product (r = 0.58). Survival curves showed that the scale could also be predictive of mortality.The ATHLOS scale, due to its reliability and global representativeness, has the potential to contribute to worldwide research on healthy ageing.},\n\tjournal = {International Journal of Epidemiology},\n\tauthor = {Sanchez-Niubo, Albert and Forero, Carlos G. and Wu, Yu-Tzu and Giné-Vázquez, Iago and Prina, Matthew and Fuente, Javier De La and Daskalopoulou, Christina and Critselis, Elena and Torre-Luque, Alejandro De La and Panagiotakos, Demosthenes and Arndt, Holger and Ayuso-Mateos, José Luis and Bayes-Marin, Ivet and Bickenbach, Jerome and Bobak, Martin and Caballero, Francisco Félix and Chatterji, Somnath and Egea-Cortés, Laia and García-Esquinas, Esther and Leonardi, Matilde and Koskinen, Seppo and Koupil, Ilona and Mellor-Marsá, Blanca and Olaya, Beatriz and Pająk, Andrzej and Prince, Martin and Raggi, Alberto and Rodríguez-Artalejo, Fernando and Sanderson, Warren and Scherbov, Sergei and Tamosiunas, Abdonas and Tobias-Adamczyk, Beata and Tyrovolas, Stefanos and Haro, Josep Maria},\n\tmonth = dec,\n\tyear = {2020},\n\tpmid = {33274372},\n\tpmcid = {PMC8271194},\n\tnote = {Publisher: Oxford University Press (OUP)\neprint: https://academic.oup.com/ije/advance-article-pdf/doi/10.1093/ije/dyaa236/34695114/dyaa236.pdf},\n\tkeywords = {R-project, ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies, IRT, Item Response Theory, mirt, lordif, mirtCat, psy},\n\tpages = {dyaa236},\n\tfile = {dyaa236_supplementary_data.zip:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/dyaa236_supplementary_data.zip:application/zip;Sanchez-Niuboetal-2020-Developmentofacommonscale.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Sanchez-Niuboetal-2020-Developmentofacommonscale.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Factors related with sarcopenia and sarcopenic obesity among low- and middle-income settings: the 10/66 DRG study.\n \n \n \n \n\n\n \n Daskalopoulou, C.; Wu, Y.; Pan, W.; Vázquez, I. G.; Prince, M.; Prina, M.; and Tyrovolas, S.\n\n\n \n\n\n\n Scientific Reports, 10(1). November 2020.\n Publisher: Springer Science and Business Media LLC\n\n\n\n
\n\n\n\n \n \n $\"Factors$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{daskalopoulou_factors_2020,\n\ttitle = {Factors related with sarcopenia and sarcopenic obesity among low- and middle-income settings: the 10/66 {DRG} study},\n\tvolume = {10},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.1038%2Fs41598-020-76575-4},\n\tdoi = {10.1038/s41598-020-76575-4},\n\tnumber = {1},\n\tjournal = {Scientific Reports},\n\tauthor = {Daskalopoulou, Christina and Wu, Yu-Tzu and Pan, William and Vázquez, Iago Giné and Prince, Martin and Prina, Matthew and Tyrovolas, Stefanos},\n\tmonth = nov,\n\tyear = {2020},\n\tpmid = {33235211},\n\tpmcid = {PMC7686337},\n\tnote = {Publisher: Springer Science and Business Media LLC},\n\tkeywords = {Stata, 10/66 study, sarcopenia, sarcopenic obesity},\n\tfile = {41598_2020_76575_MOESM1_ESM.xlsx:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/41598_2020_76575_MOESM1_ESM.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;Daskalopoulouetal-2020-Factorsrelated.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Daskalopoulouetal-2020-Factorsrelated.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Ageing trajectories of health—longitudinal opportunities and synergies (ATHLOS) Healthy Ageing Scale in adults from 16 international cohorts representing 38 countries worldwide.\n \n \n \n \n\n\n \n Critselis, E.; Panaretos, D.; Sánchez-Niubò, A.; Giné-Vázquez, I.; Ayuso-Mateos, J. L.; Caballero, F. F.; Fuente, J. d. l.; Haro, J. M.; and Panagiotakos, D.\n\n\n \n\n\n\n Journal of Epidemiology and Community Health, 74(12): jech–2020–214496. August 2020.\n Publisher: BMJ\n\n\n\n
\n\n\n\n \n \n $\"Ageing$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{critselis_ageing_2020,\n\ttitle = {Ageing trajectories of health—longitudinal opportunities and synergies ({ATHLOS}) {Healthy} {Ageing} {Scale} in adults from 16 international cohorts representing 38 countries worldwide},\n\tvolume = {74},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.1136%2Fjech-2020-214496},\n\tdoi = {10.1136/jech-2020-214496},\n\tnumber = {12},\n\tjournal = {Journal of Epidemiology and Community Health},\n\tauthor = {Critselis, Elena and Panaretos, Dimitris and Sánchez-Niubò, Albert and Giné-Vázquez, Iago and Ayuso-Mateos, José Luis and Caballero, Francisco Felix and Fuente, Javier de la and Haro, Josep Maria and Panagiotakos, Demosthenes},\n\tmonth = aug,\n\tyear = {2020},\n\tpmid = {32801117},\n\tnote = {Publisher: BMJ},\n\tkeywords = {R-project, ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies},\n\tpages = {jech--2020--214496},\n\tfile = {Critselisetal-2020-Ageingtrajectories.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Critselisetal-2020-Ageingtrajectories.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Mental Disorders, Musculoskeletal Disorders and Income-Driven Patterns: Evidence from the Global Burden of Disease Study 2017.\n \n \n \n \n\n\n \n Tyrovolas, S.; Moneta, V.; Vázquez, I. G.; Koyanagi, A.; Abduljabbar, A. S.; and Haro, J. M.\n\n\n \n\n\n\n Journal of Clinical Medicine, 9(7): 2189. July 2020.\n Publisher: MDPI AG\n\n\n\n
\n\n\n\n \n \n $\"Mental$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{tyrovolas_mental_2020,\n\ttitle = {Mental {Disorders}, {Musculoskeletal} {Disorders} and {Income}-{Driven} {Patterns}: {Evidence} from the {Global} {Burden} of {Disease} {Study} 2017},\n\tvolume = {9},\n\tcopyright = {All rights reserved},\n\turl = {https://doi.org/10.3390%2Fjcm9072189},\n\tdoi = {10.3390/jcm9072189},\n\tnumber = {7},\n\tjournal = {Journal of Clinical Medicine},\n\tauthor = {Tyrovolas, Stefanos and Moneta, Victoria and Vázquez, Iago Giné and Koyanagi, Ai and Abduljabbar, Adel S. and Haro, Josep Maria},\n\tmonth = jul,\n\tyear = {2020},\n\tpmid = {32664414},\n\tpmcid = {PMC7408666},\n\tnote = {Publisher: MDPI AG},\n\tkeywords = {R-project, SPSS, GBD, Global Burden of Disease, lme4},\n\tpages = {2189},\n\tfile = {jcm-09-02189-s001.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/jcm-09-02189-s001.pdf:application/pdf;Tyrovolasetal-2020-MMSKDD.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Tyrovolasetal-2020-MMSKDD.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Alcohol Drinking and Health in Ageing: A Global Scale Analysis of Older Individual Data through the Harmonised Dataset of ATHLOS.\n \n \n \n \n\n\n \n Tyrovolas, S.; Panaretos, D.; Daskalopoulou, C.; Gine-Vazquez, I.; Niubo, A. S.; Olaya, B.; Bobak, M.; Prince, M.; Prina, M.; Ayuso-Mateos, J. L.; Caballero, F. F.; Garcia-Esquinas, E.; Holger, A.; Scherbov, S.; Sanderson, W.; Gheno, I.; Koupil, I.; Bickenbach, J.; Chatterji, S.; Koskinen, S.; Raggi, A.; Pajak, A.; Tobiasz-Adamczyk, B.; Haro, J. M.; and Panagiotakos, D.\n\n\n \n\n\n\n Nutrients, 12(6): 1746. June 2020.\n Publisher: MDPI AG\n\n\n\n
\n\n\n\n \n \n $\"Alcohol$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{tyrovolas_alcohol_2020,\n\ttitle = {Alcohol {Drinking} and {Health} in {Ageing}: {A} {Global} {Scale} {Analysis} of {Older} {Individual} {Data} through the {Harmonised} {Dataset} of {ATHLOS}},\n\tvolume = {12},\n\tcopyright = {All rights reserved},\n\tissn = {2072-6643},\n\turl = {https://doi.org/10.3390%2Fnu12061746},\n\tdoi = {10.3390/nu12061746},\n\tabstract = {We investigated the relation between alcohol drinking and healthy ageing by means of a validated health status metric, using individual data from the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project. For the purposes of this study, the ATHLOS harmonised dataset, which includes information from individuals aged 65+ in 38 countries, was analysed (n = 135,440). Alcohol drinking was reflected by means of three harmonised variables: alcohol drinking frequency, current and past alcohol drinker. A set of 41 self-reported health items and measured tests were used to generate a specific health metric. In the harmonised dataset, the prevalence of current drinking was 47.5\\% while of past drinking was 26.5\\%. In the pooled sample, current alcohol drinking was positively associated with better health status among older adults ((b-coef (95\\% CI): 1.32(0.45 to 2.19)) and past alcohol drinking was inversely related (b-coef (95\\% CI): \\&minus;0.83 (\\&minus;1.51 to \\&minus;0.16)) with health status. Often alcohol consumption appeared to be beneficial only for females in all super-regions except Africa, both age group categories (65\\&ndash;80 years old and 80+), both age group categories, as well as among all the financial status categories (all p \\&lt; 0.05). Regional analysis pictured diverse patterns in the association for current and past alcohol drinkers. Our results report the need for specific alcohol intake recommendations among older adults that will help them maintain a better health status throughout the ageing process.},\n\tnumber = {6},\n\tjournal = {Nutrients},\n\tauthor = {Tyrovolas, Stefanos and Panaretos, Dimitris and Daskalopoulou, Christina and Gine-Vazquez, Iago and Niubo, Albert Sanchez and Olaya, Beatriz and Bobak, Martin and Prince, Martin and Prina, Matthew and Ayuso-Mateos, Jose Luis and Caballero, Francisco Felix and Garcia-Esquinas, Esther and Holger, Arndt and Scherbov, Sergei and Sanderson, Warren and Gheno, Ilenia and Koupil, Ilona and Bickenbach, Jerome and Chatterji, Somnath and Koskinen, Seppo and Raggi, Alberto and Pajak, Andrzej and Tobiasz-Adamczyk, Beata and Haro, Josep Maria and Panagiotakos, Demosthenes},\n\tmonth = jun,\n\tyear = {2020},\n\tpmid = {32545243},\n\tpmcid = {PMC7353331},\n\tnote = {Publisher: MDPI AG},\n\tkeywords = {R-project, ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies},\n\tpages = {1746},\n\tfile = {Tyrovolasetal-2020-AlcoholDrinking.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Tyrovolasetal-2020-AlcoholDrinking.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Predictors of pain in general ageing populations: results from a multi-country analysis based on ATHLOS harmonized database.\n \n \n \n \n\n\n \n Raggi, A.; Leonardi, M.; Mellor-Marsá, B.; Moneta, M. V.; Sanchez-Niubo, A.; Tyrovolas, S.; Giné-Vázquez, I.; Haro, J. M.; Chatterji, S.; Bobak, M.; Ayuso-Mateos, J. L.; Arndt, H.; Hossin, M. Z.; Bickenbach, J.; Koskinen, S.; Tobiasz-Adamczyk, B.; Panagiotakos, D.; and Corso, B.\n\n\n \n\n\n\n The Journal of Headache and Pain, 21(1): 45. May 2020.\n Publisher: Springer Science and Business Media LLC\n\n\n\n
\n\n\n\n \n \n $\"Predictors$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{raggi_predictors_2020,\n\ttitle = {Predictors of pain in general ageing populations: results from a multi-country analysis based on {ATHLOS} harmonized database},\n\tvolume = {21},\n\tcopyright = {All rights reserved},\n\tissn = {1129-2377},\n\turl = {https://doi.org/10.1186%2Fs10194-020-01116-3},\n\tdoi = {10.1186/s10194-020-01116-3},\n\tabstract = {Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people, and with increasing trends in general populations. Different risk factors for pain have been identified, but generally from studies with limited samples and a limited number of candidate predictors. The aim of this study is to evaluate the predictors of pain from a large set of variables and respondents.},\n\tnumber = {1},\n\tjournal = {The Journal of Headache and Pain},\n\tauthor = {Raggi, Alberto and Leonardi, Matilde and Mellor-Marsá, Blanca and Moneta, Maria V. and Sanchez-Niubo, Albert and Tyrovolas, Stefanos and Giné-Vázquez, Iago and Haro, Josep M. and Chatterji, Somnath and Bobak, Martin and Ayuso-Mateos, Jose L. and Arndt, Holger and Hossin, Muhammad Z. and Bickenbach, Jerome and Koskinen, Seppo and Tobiasz-Adamczyk, Beata and Panagiotakos, Demosthenes and Corso, Barbara},\n\tmonth = may,\n\tyear = {2020},\n\tpmid = {32375641},\n\tpmcid = {PMC7201730},\n\tnote = {Publisher: Springer Science and Business Media LLC},\n\tkeywords = {Stata, ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies},\n\tpages = {45},\n\tfile = {10194_2020_1116_MOESM1_ESM.docx:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/10194_2020_1116_MOESM1_ESM.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document;Raggietal-2020-Predictorsofpain.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Raggietal-2020-Predictorsofpain.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Pain rates in general population for the period 1991–2015 and 10-years prediction: results from a multi-continent age-period-cohort analysis.\n \n \n \n \n\n\n \n Guido, D.; Leonardi, M.; Mellor-Marsá, B.; Moneta, M. V.; Sanchez-Niubo, A.; Tyrovolas, S.; Giné-Vázquez, I.; Haro, J. M.; Chatterji, S.; Bobak, M.; Ayuso-Mateos, J. L.; Arndt, H.; Koupil, I.; Bickenbach, J.; Koskinen, S.; Tobiasz-Adamczyk, B.; Panagiotakos, D.; and Raggi, A.\n\n\n \n\n\n\n The Journal of Headache and Pain, 21(1): 52. May 2020.\n Publisher: Springer Science and Business Media LLC\n\n\n\n
\n\n\n\n \n \n $\"Pain$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{guido_pain_2020,\n\ttitle = {Pain rates in general population for the period 1991–2015 and 10-years prediction: results from a multi-continent age-period-cohort analysis},\n\tvolume = {21},\n\tcopyright = {All rights reserved},\n\tissn = {1129-2377},\n\turl = {https://doi.org/10.1186%2Fs10194-020-01108-3},\n\tdoi = {10.1186/s10194-020-01108-3},\n\tabstract = {Pain is a common symptom, often associated with neurological and musculoskeletal conditions, and experienced especially by females and by older people. The aims of this study are to evaluate the temporal variations of pain rates among general populations for the period 1991–2015 and to project 10-year pain rates.},\n\tnumber = {1},\n\tjournal = {The Journal of Headache and Pain},\n\tauthor = {Guido, Davide and Leonardi, Matilde and Mellor-Marsá, Blanca and Moneta, Maria V. and Sanchez-Niubo, Albert and Tyrovolas, Stefanos and Giné-Vázquez, Iago and Haro, Josep M. and Chatterji, Somnath and Bobak, Martin and Ayuso-Mateos, Jose L. and Arndt, Holger and Koupil, Ilona and Bickenbach, Jerome and Koskinen, Seppo and Tobiasz-Adamczyk, Beata and Panagiotakos, Demosthenes and Raggi, Alberto},\n\tmonth = may,\n\tyear = {2020},\n\tpmid = {32404046},\n\tpmcid = {PMC7218619},\n\tnote = {Publisher: Springer Science and Business Media LLC},\n\tkeywords = {R-project, ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies, APC, Age, Period, Cohort models, INLA, R-INLA},\n\tpages = {52},\n\tfile = {10194_2020_1108_MOESM1_ESM.docx:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/10194_2020_1108_MOESM1_ESM.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document;Guidoetal-2020-Painrates.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Guidoetal-2020-Painrates.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n CREATION OF A COMMON METRIC OF HEALTH STATUS IN THE HARMONIZED DATASET OF THE ATHLOS PROJECT.\n \n \n \n \n\n\n \n Sanchez-Niubo, A.; Caballero, F. F.; Daskalopoulou, C.; Fuente, J. d. l.; Torre, A. d. l.; Giné-Vázquez, I.; Wu, Y.; and Prina, M.\n\n\n \n\n\n\n Innovation in Aging, 3(Supplement 1): S799–S799. 2019.\n _eprint: https://academic.oup.com/innovateage/article-pdf/3/Supplement_1/S799/33009021/igz038.2941.pdf\n\n\n\n
\n\n\n\n \n \n $\"CREATION$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n\n\n\n

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@article{sanchez-niubo_creation_2019,\n\ttitle = {{CREATION} {OF} {A} {COMMON} {METRIC} {OF} {HEALTH} {STATUS} {IN} {THE} {HARMONIZED} {DATASET} {OF} {THE} {ATHLOS} {PROJECT}},\n\tvolume = {3},\n\tcopyright = {All rights reserved},\n\tissn = {2399-5300},\n\turl = {https://doi.org/10.1093/geroni/igz038.2941},\n\tdoi = {10.1093/geroni/igz038.2941},\n\tabstract = {Although life longevity has increased across the world, evidence suggests some heterogeneity of the ageing process across individuals. To investigate different ageing patterns, the ATHLOS project harmonised data from 411,000 individuals across 17 existing cohort studies. The harmonised dataset provides comparable information on functioning measures, cognition, mental health, sociodemographic and lifestyle behaviours. To measure the process of healthy ageing across time and cohorts, we employed a Bayesian Multilevel Item Response Theory(IRT) and created a common metric of health status by using items of functioning. The IRT measurement model includes parameters describing the difficulty and discriminatory power of each item. We adopted the Bayesian Multilevel framework as it allows item parameters to vary among studies and the simultaneous estimation of all parameters under a Markov Chain Monte Carlo(MCMC) method. Finally, we assessed the predictive validity of the metric against mortality by performing a Receiver Operating Characteristic(ROC) curve analysis.},\n\tnumber = {Supplement 1},\n\tjournal = {Innovation in Aging},\n\tauthor = {Sanchez-Niubo, Albert and Caballero, Francisco Felix and Daskalopoulou, Christina and Fuente, Javier de la and Torre, Alejandro de la and Giné-Vázquez, Iago and Wu, Yu-Tzu and Prina, Matthew},\n\tyear = {2019},\n\tpmcid = {PMC6845509},\n\tnote = {\\_eprint: https://academic.oup.com/innovateage/article-pdf/3/Supplement\\_1/S799/33009021/igz038.2941.pdf},\n\tkeywords = {ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies},\n\tpages = {S799--S799},\n\tfile = {Sanchez-Niuboetal-2019-CREATIONOFA.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Sanchez-Niuboetal-2019-CREATIONOFA.pdf:application/pdf},\n}\n\n

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\n \n\n \n \n \n \n \n \n Cohort Profile: The Ageing Trajectories of Health – Longitudinal Opportunities and Synergies (ATHLOS) project.\n \n \n \n \n\n\n \n Sanchez-Niubo, A.; Egea-Cortés, L.; Bayes, I.; Mellor, B.; Giné-Vázquez, I.; Olaya, B.; Tyrovolas, S.; Caballero, F. F.; García-Esquinas, E.; Lopez-Garcia, E.; Rodríguez-Artalejo, F.; de la Fuente, J.; Ayuso-Mateos, J. L; Daskalopoulou, C.; Nguyen, H.; Wu, Y.; Prina, M.; Prince, M.; Stefler, D.; Bobak, M.; Paulsen, S.; Arndt, H.; Zawisza, K.; Galas, A.; Tobiasz-Adamczyk, B.; Doryńska, A.; Kozela, M.; Szafraniec, K.; Pająk, A.; Leonardi, M.; Guido, D.; Raggi, A.; Goodman, A.; Koupil, I.; Panagiotakos, D.; Tamosiunas, A.; Radisauskas, R.; Scherbov, S.; Sanderson, W.; Koskinen, S.; Sainio, P.; Bickenbach, J.; Chatterji, S.; Haro, J. M.; and Consortium, A.\n\n\n \n\n\n\n International Journal of Epidemiology, 48(4): 1052–1053i. 2019.\n _eprint: http://oup.prod.sis.lan/ije/article-pdf/48/4/1052/29162977/dyz077.pdf\n\n\n\n
\n\n\n\n \n \n $\"Cohort$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{sanchez-niubo_cohort_2019,\n\ttitle = {Cohort {Profile}: {The} {Ageing} {Trajectories} of {Health} – {Longitudinal} {Opportunities} and {Synergies} ({ATHLOS}) project},\n\tvolume = {48},\n\tcopyright = {All rights reserved},\n\tissn = {0300-5771},\n\tshorttitle = {Cohort {Profile}},\n\turl = {https://academic.oup.com/ije/article/48/4/1052/5477844},\n\tdoi = {10.1093/ije/dyz077},\n\tabstract = {The number of people aged 60 years or older is projected to significantly increase in the coming decades worldwide. According to United Nations estimates, this},\n\tlanguage = {en},\n\tnumber = {4},\n\tjournal = {International Journal of Epidemiology},\n\tauthor = {Sanchez-Niubo, Albert and Egea-Cortés, Laia and Bayes, Ivet and Mellor, Blanca and Giné-Vázquez, Iago and Olaya, Beatriz and Tyrovolas, Stefanos and Caballero, Francisco Félix and García-Esquinas, Esther and Lopez-Garcia, Esther and Rodríguez-Artalejo, Fernando and de la Fuente, Javier and Ayuso-Mateos, Jose L and Daskalopoulou, Christina and Nguyen, Hai and Wu, Yu-Tzu and Prina, Matthew and Prince, Martin and Stefler, Denes and Bobak, Martin and Paulsen, Swantje and Arndt, Holger and Zawisza, Katarzyna and Galas, Aleksander and Tobiasz-Adamczyk, Beata and Doryńska, Agnieszka and Kozela, Magdalena and Szafraniec, Krystyna and Pająk, Andrzej and Leonardi, Matilde and Guido, Davide and Raggi, Alberto and Goodman, Anna and Koupil, Ilona and Panagiotakos, Demosthenes and Tamosiunas, Abdonas and Radisauskas, Ricardas and Scherbov, Sergei and Sanderson, Warren and Koskinen, Seppo and Sainio, P{\\textbackslash}”aivi and Bickenbach, Jerome and Chatterji, Somnath and Haro, Josep Maria and Consortium, ATHLOS},\n\tyear = {2019},\n\tpmcid = {PMC6693815},\n\tpmid = {31329885},\n\tnote = {\\_eprint: http://oup.prod.sis.lan/ije/article-pdf/48/4/1052/29162977/dyz077.pdf},\n\tkeywords = {R-project, ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies},\n\tpages = {1052--1053i},\n\tfile = {dyz077_supplementary_data.zip:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/dyz077_supplementary_data.zip:application/zip;Sanchez-Niuboetal-2019-Cohort_Profile.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Sanchez-Niuboetal-2019-Cohort_Profile.pdf:application/pdf},\n}\n\n

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\n \n 2018\n \n \n (1)\n \n \n

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\n \n \n

\n \n\n \n \n \n \n \n \n Newton–Okounkov Bodies and Reified Valuations of Higher Rank.\n \n \n \n \n\n\n \n Camara, A.; Giné, I.; Gualdi, R.; Kalinin, N.; Roé, J.; Ulirsch, M.; Urbinati, S.; and Xarles, X.\n\n\n \n\n\n\n In Alberich-Carramiñana, M.; Galindo, C.; Küronya, A.; and Roé, J., editor(s), Extended Abstracts February 2016. Positivity and Valuations, of Research Perspectives CRM Barcelona, pages 113–118, Cham, 2018. Springer International Publishing\n \n\n\n\n
\n\n\n\n \n \n $\"Newton–Okounkov$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@inproceedings{camara_newtonokounkov_2018,\n\taddress = {Cham},\n\tseries = {Research {Perspectives} {CRM} {Barcelona}},\n\ttitle = {Newton–{Okounkov} {Bodies} and {Reified} {Valuations} of {Higher} {Rank}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-030-00027-1},\n\turl = {https://link.springer.com/chapter/10.1007/978-3-030-00027-1_18},\n\tdoi = {10.1007/978-3-030-00027-1_18},\n\tabstract = {We study the shape change of the Newton–Okounkov body of a fixed divisor D with respect to a valuation v moving in a suitable space of (higher-rank) valuations.},\n\tbooktitle = {Extended {Abstracts} {February} 2016. {Positivity} and {Valuations}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Camara, Alberto and Giné, Iago and Gualdi, Roberto and Kalinin, Nikita and Roé, Joaquim and Ulirsch, Martin and Urbinati, Stefano and Xarles, Xavier},\n\teditor = {Alberich-Carramiñana, Maria and Galindo, Carlos and Küronya, Alex and Roé, Joaquim},\n\tyear = {2018},\n\tpages = {113--118},\n\tfile = {ExtendedAbstractsFebruary2016.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/ExtendedAbstractsFebruary2016.pdf:application/pdf},\n}\n\n

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\n \n 2017\n \n \n (1)\n \n \n

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\n \n\n \n \n \n \n \n \n Albanese varieties of non-Archimedean uniformized varieties.\n \n \n \n \n\n\n \n Giné Vázquez, I.\n\n\n \n\n\n\n Ph.D. Thesis, Universitat Autònoma de Barcelona, July 2017.\n Accepted: 2017-09-12T14:35:36Z ISBN: 9788449072246 Publication Title: TDX (Tesis Doctorals en Xarxa)\n\n\n\n
\n\n\n\n \n \n $\"Albanese$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n

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@phdthesis{gine_vazquez_albanese_2017,\n\ttype = {Ph.{D}. {Thesis}},\n\ttitle = {Albanese varieties of non-{Archimedean} uniformized varieties},\n\tcopyright = {Open Access},\n\turl = {http://www.tdx.cat/handle/10803/405530},\n\tabstract = {En esta tesis doctoral ofrecemos una construcción conjetural de la variedad de Albanese de una variedad uniformizada no arquimediana fijándonos en una estructura métrica contenida en la última y llamada su esqueleto (que es, esencialmente, una curva tropical). Para ello realizamos una construcción paralela (real, tropical) sobre el esqueleto, que deviene el esqueleto de nuestra propuesta para variedad de Albanese, la subimos a una construcción analítica sobre la variedad dada y usamos que su esqueleto es el cociente de un cierto subedificio localmente finito de un edificio de Bruhat-Tits, que también aparece como el esqueleto de la variedad uniformizante. Entonces, relacionamos unas ciertas cocadenas armónicas en los edificios con las medidas armónicas en sus finales como paso clave en la demostración de que la construcción hecha es la variedad de Albanese. \nEsta tesis tiene dos partes principales. Una está dedicada a describir con completa generalidad esta construcción en dimensión 1, mientras en la segunda estudiamos la estructura del edificio de Bruhat-Tits y realizamos una construcción que preveemos que es la variedad de Albanese buscada, bajo la hipótesis de que el cuerpo base tiene una valoración discreta. \nEmpezamos estudiando la Jacobiana de un grafo, en el capítulo 1 sin más estructura, en el capítulo 2 un grafo métrico. Nuestro trabajo, junto con otros, muestra que nuestra descripción de la Jacobiana de un grafo métrico en términos de integración sobre los finales del árbol métrico que es su recubrimiento universal extiende, de alguna manera, la Jacobiana (discreta) de un grafo sin estructura métrica. Aquí introducimos las cocadenas armónicas en los árboles y las medidas armónicas en los finales, y demostramos que hay un isomorfismo entre ellas como paso importante para lograr el resultado principal. \nEn el capítulo 3 desarrollamos la teoría de curvas de Mumford y sus Jacobianas en el marco de la geometría de Berkovich, las relacionamos con sus esqueletos por medio de la aplicación de retracción e introducimos las integrales multiplicativas. Entonces extendemos a nuestras hipótesis generales varios resultados conocidos en casos particulares (por ejemplo, sobre un cuerpo base local) gracias a esas herramientas recientes, y usamos los resutados sobre la Jacobiana de un grafo métrico aplicados al esqueleto correspondiente para obtener que la construcción realizada mediante integrales multiplicativas y medidas armónicas es una variedad abeliana. Después probamos que es la Jacobiana mediante la teoría de funciones theta, desarrollada desde la perspectiva novedosa de la geometría de Berkovich usando funciones tropicales. \nEn el capítulo 4 adaptamos esta construcción a dimensión superior, dando un candidato natural a ser la variedad de Albanese de una variedad uniformizada no arquimediana tal como construyó Mustafin como una generalización de las curvas de Mumford. Para ello extendemos la noción de grupo de Schottky a cualquier dimensión siguiendo el trabajo de Mustafin y estudiamos con detalle la estructura de los edificios de Bruhat-Tits sobre un cuerpo completo con una valoración discreta. Entonces nos retringimos a dimensión 2 para definir las cocadenas armónicas sobre ciertos subcomplejos de cámaras, y probamos que son isomorfas a las medidas armónicas sobre un cierto compacto de los puntos racionales del correspondiente espacio proyectivo cuando el subcomplejo asociado es un edificio. Finalmente, usamos esto para hacer una reducción de la demostración de que la construcción realizada es un toro analítico.},\n\tlanguage = {eng},\n\turldate = {2021-01-28},\n\tschool = {Universitat Autònoma de Barcelona},\n\tauthor = {Giné Vázquez, Iago},\n\tcollaborator = {Xarles Ribas, Francesc-Xavier},\n\tmonth = jul,\n\tyear = {2017},\n\tnote = {Accepted: 2017-09-12T14:35:36Z\nISBN: 9788449072246\nPublication Title: TDX (Tesis Doctorals en Xarxa)},\n\tkeywords = {514, Albanese varieties, Berkovich analytic geometry, Bruhat-Tits buildings, Ciències Experimentals, Edificios de Bruhat-Tits, Edificis de Bruhat-Tits, Geometria analitica de Berkovich, Variedades de Albanese, Varietats d'Albanese},\n\tfile = {Gine_Vazquez-2017-Albanese_varieties_of_non-Archimedean_uniformized_varieties.pdf:/media/iago/5e020581-9609-49e5-a45d-db9b4a41d6ff/MEGA/zotero/Gine_Vazquez-2017-Albanese_varieties_of_non-Archimedean_uniformized_varieties.pdf:application/pdf},\n}\n

\n

\n\n\n

\n En esta tesis doctoral ofrecemos una construcción conjetural de la variedad de Albanese de una variedad uniformizada no arquimediana fijándonos en una estructura métrica contenida en la última y llamada su esqueleto (que es, esencialmente, una curva tropical). Para ello realizamos una construcción paralela (real, tropical) sobre el esqueleto, que deviene el esqueleto de nuestra propuesta para variedad de Albanese, la subimos a una construcción analítica sobre la variedad dada y usamos que su esqueleto es el cociente de un cierto subedificio localmente finito de un edificio de Bruhat-Tits, que también aparece como el esqueleto de la variedad uniformizante. Entonces, relacionamos unas ciertas cocadenas armónicas en los edificios con las medidas armónicas en sus finales como paso clave en la demostración de que la construcción hecha es la variedad de Albanese. Esta tesis tiene dos partes principales. Una está dedicada a describir con completa generalidad esta construcción en dimensión 1, mientras en la segunda estudiamos la estructura del edificio de Bruhat-Tits y realizamos una construcción que preveemos que es la variedad de Albanese buscada, bajo la hipótesis de que el cuerpo base tiene una valoración discreta. Empezamos estudiando la Jacobiana de un grafo, en el capítulo 1 sin más estructura, en el capítulo 2 un grafo métrico. Nuestro trabajo, junto con otros, muestra que nuestra descripción de la Jacobiana de un grafo métrico en términos de integración sobre los finales del árbol métrico que es su recubrimiento universal extiende, de alguna manera, la Jacobiana (discreta) de un grafo sin estructura métrica. Aquí introducimos las cocadenas armónicas en los árboles y las medidas armónicas en los finales, y demostramos que hay un isomorfismo entre ellas como paso importante para lograr el resultado principal. En el capítulo 3 desarrollamos la teoría de curvas de Mumford y sus Jacobianas en el marco de la geometría de Berkovich, las relacionamos con sus esqueletos por medio de la aplicación de retracción e introducimos las integrales multiplicativas. Entonces extendemos a nuestras hipótesis generales varios resultados conocidos en casos particulares (por ejemplo, sobre un cuerpo base local) gracias a esas herramientas recientes, y usamos los resutados sobre la Jacobiana de un grafo métrico aplicados al esqueleto correspondiente para obtener que la construcción realizada mediante integrales multiplicativas y medidas armónicas es una variedad abeliana. Después probamos que es la Jacobiana mediante la teoría de funciones theta, desarrollada desde la perspectiva novedosa de la geometría de Berkovich usando funciones tropicales. En el capítulo 4 adaptamos esta construcción a dimensión superior, dando un candidato natural a ser la variedad de Albanese de una variedad uniformizada no arquimediana tal como construyó Mustafin como una generalización de las curvas de Mumford. Para ello extendemos la noción de grupo de Schottky a cualquier dimensión siguiendo el trabajo de Mustafin y estudiamos con detalle la estructura de los edificios de Bruhat-Tits sobre un cuerpo completo con una valoración discreta. Entonces nos retringimos a dimensión 2 para definir las cocadenas armónicas sobre ciertos subcomplejos de cámaras, y probamos que son isomorfas a las medidas armónicas sobre un cierto compacto de los puntos racionales del correspondiente espacio proyectivo cuando el subcomplejo asociado es un edificio. Finalmente, usamos esto para hacer una reducción de la demostración de que la construcción realizada es un toro analítico.\n

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