@article{RN289,
   author = {Heger, I. S. and Deckers, K. and Schram, M. T. and Stehouwer, C. D. and Dagnelie, P. C. and van der Kallen, C. J. and Koster, A. and Eussen, S. J. and Jansen, J. F. and Verhey, F. R. and van Boxtel, M. P. and Kohler, S.},
   title = {Associations of the Lifestyle for Brain Health Index With Structural Brain Changes and Cognition: Results From the Maastricht Study},
   journal = {Neurology},
   note = {Heger, Irene S
Deckers, Kay
Schram, Miranda T
Stehouwer, Coen DA
Dagnelie, Pieter C
van der Kallen, Carla Jh
Koster, Annemarie
Eussen, Simone Jpm
Jansen, Jacobus Fa
Verhey, Frans Rj
van Boxtel, Martin Pj
Kohler, Sebastian
eng
Neurology. 2021 Aug 25. pii: WNL.0000000000012572. doi: 10.1212/WNL.0000000000012572.},
   abstract = {BACKGROUND AND OBJECTIVES: Observational research has shown that a substantial proportion of all dementia cases worldwide is attributable to modifiable risk factors. Dementia risk scores might be useful to identify high-risk individuals and monitor treatment adherence. The objective of this study was to investigate whether a dementia risk score, the LIfestyle for BRAin health (LIBRA) index, is associated with MRI markers and cognitive functioning/impairment in the general population. METHODS: Cross-sectional data was used from the observational population-based cohort of The Maastricht Study.. The weighted compound score of LIBRA (including twelve dementia risk and protective factors, e.g. hypertension, physical inactivity) was calculated, with higher scores indicating higher dementia risk. Standardized volumes of white matter, grey matter, CSF (as proxy for general brain atrophy), white matter hyperintensities, and presence of cerebral small vessel disease were derived from 3T MRI. Cognitive functioning was tested in three domains: memory, information processing speed, and executive function and attention. Values </=1.5 SD below the average were defined as cognitive impairment. Multiple regression analyses and structural equation modelling were used, adjusted for age, sex, education, intracranial volume and type-2 diabetes. RESULTS: Participants (n=4,164; mean age 59y; 49.7% men) with higher LIBRA scores (mean=1.19, range=-2.7 to +9.2), denoting higher dementia risk, had higher volumes of white matter hyperintensities (beta=0.051, p=.002), and lower scores on information processing speed (beta=-0.067, p=.001) and executive function and attention (beta=-0.065, p=.004). Only in men, associations between LIBRA and volumes of grey matter (beta=-0.093, p<.001), CSF (beta=0.104, p<.001) and memory (beta=-0.054, p=.026) were found. White matter hyperintensities and CSF volume partly mediated the association between LIBRA and cognition. DISCUSSION: Higher health- and lifestyle-based dementia risk is associated with markers of general brain atrophy, cerebrovascular pathology and worse cognition, suggesting that LIBRA meaningfully summarizes individual lifestyle-related brain health. Improving LIBRA factors on an individual level might improve population brain health. Sex differences in lifestyle-related pathology and cognition need to be further explored. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that higher LIBRA scores are significantly associated with lower scores on some cognitive domains and a higher risk of cognitive impairment.},
   ISSN = {1526-632X (Electronic)
0028-3878 (Linking)},
   DOI = {10.1212/WNL.0000000000012572},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/34433680},
   year = {2021},
   type = {Journal Article}
}

{"_id":"yq2JaG7G6jHLP52re","bibbaseid":"heger-deckers-schram-stehouwer-dagnelie-vanderkallen-koster-eussen-etal-associationsofthelifestyleforbrainhealthindexwithstructuralbrainchangesandcognitionresultsfromthemaastrichtstudy-2021","author_short":["Heger, I. S.","Deckers, K.","Schram, M. T.","Stehouwer, C. D.","Dagnelie, P. C.","van der Kallen, C. J.","Koster, A.","Eussen, S. J.","Jansen, J. F.","Verhey, F. R.","van Boxtel, M. P.","Kohler, S."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Heger"],"firstnames":["I.","S."],"suffixes":[]},{"propositions":[],"lastnames":["Deckers"],"firstnames":["K."],"suffixes":[]},{"propositions":[],"lastnames":["Schram"],"firstnames":["M.","T."],"suffixes":[]},{"propositions":[],"lastnames":["Stehouwer"],"firstnames":["C.","D."],"suffixes":[]},{"propositions":[],"lastnames":["Dagnelie"],"firstnames":["P.","C."],"suffixes":[]},{"propositions":["van","der"],"lastnames":["Kallen"],"firstnames":["C.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Koster"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Eussen"],"firstnames":["S.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F."],"suffixes":[]},{"propositions":[],"lastnames":["Verhey"],"firstnames":["F.","R."],"suffixes":[]},{"propositions":["van"],"lastnames":["Boxtel"],"firstnames":["M.","P."],"suffixes":[]},{"propositions":[],"lastnames":["Kohler"],"firstnames":["S."],"suffixes":[]}],"title":"Associations of the Lifestyle for Brain Health Index With Structural Brain Changes and Cognition: Results From the Maastricht Study","journal":"Neurology","note":"Heger, Irene S Deckers, Kay Schram, Miranda T Stehouwer, Coen DA Dagnelie, Pieter C van der Kallen, Carla Jh Koster, Annemarie Eussen, Simone Jpm Jansen, Jacobus Fa Verhey, Frans Rj van Boxtel, Martin Pj Kohler, Sebastian eng Neurology. 2021 Aug 25. pii: WNL.0000000000012572. doi: 10.1212/WNL.0000000000012572.","abstract":"BACKGROUND AND OBJECTIVES: Observational research has shown that a substantial proportion of all dementia cases worldwide is attributable to modifiable risk factors. Dementia risk scores might be useful to identify high-risk individuals and monitor treatment adherence. The objective of this study was to investigate whether a dementia risk score, the LIfestyle for BRAin health (LIBRA) index, is associated with MRI markers and cognitive functioning/impairment in the general population. METHODS: Cross-sectional data was used from the observational population-based cohort of The Maastricht Study.. The weighted compound score of LIBRA (including twelve dementia risk and protective factors, e.g. hypertension, physical inactivity) was calculated, with higher scores indicating higher dementia risk. Standardized volumes of white matter, grey matter, CSF (as proxy for general brain atrophy), white matter hyperintensities, and presence of cerebral small vessel disease were derived from 3T MRI. Cognitive functioning was tested in three domains: memory, information processing speed, and executive function and attention. Values </=1.5 SD below the average were defined as cognitive impairment. Multiple regression analyses and structural equation modelling were used, adjusted for age, sex, education, intracranial volume and type-2 diabetes. RESULTS: Participants (n=4,164; mean age 59y; 49.7% men) with higher LIBRA scores (mean=1.19, range=-2.7 to +9.2), denoting higher dementia risk, had higher volumes of white matter hyperintensities (beta=0.051, p=.002), and lower scores on information processing speed (beta=-0.067, p=.001) and executive function and attention (beta=-0.065, p=.004). Only in men, associations between LIBRA and volumes of grey matter (beta=-0.093, p<.001), CSF (beta=0.104, p<.001) and memory (beta=-0.054, p=.026) were found. White matter hyperintensities and CSF volume partly mediated the association between LIBRA and cognition. DISCUSSION: Higher health- and lifestyle-based dementia risk is associated with markers of general brain atrophy, cerebrovascular pathology and worse cognition, suggesting that LIBRA meaningfully summarizes individual lifestyle-related brain health. Improving LIBRA factors on an individual level might improve population brain health. Sex differences in lifestyle-related pathology and cognition need to be further explored. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that higher LIBRA scores are significantly associated with lower scores on some cognitive domains and a higher risk of cognitive impairment.","issn":"1526-632X (Electronic) 0028-3878 (Linking)","doi":"10.1212/WNL.0000000000012572","url":"https://www.ncbi.nlm.nih.gov/pubmed/34433680","year":"2021","bibtex":"@article{RN289,\n author = {Heger, I. S. and Deckers, K. and Schram, M. T. and Stehouwer, C. D. and Dagnelie, P. C. and van der Kallen, C. J. and Koster, A. and Eussen, S. J. and Jansen, J. F. and Verhey, F. R. and van Boxtel, M. P. and Kohler, S.},\n title = {Associations of the Lifestyle for Brain Health Index With Structural Brain Changes and Cognition: Results From the Maastricht Study},\n journal = {Neurology},\n note = {Heger, Irene S\nDeckers, Kay\nSchram, Miranda T\nStehouwer, Coen DA\nDagnelie, Pieter C\nvan der Kallen, Carla Jh\nKoster, Annemarie\nEussen, Simone Jpm\nJansen, Jacobus Fa\nVerhey, Frans Rj\nvan Boxtel, Martin Pj\nKohler, Sebastian\neng\nNeurology. 2021 Aug 25. pii: WNL.0000000000012572. doi: 10.1212/WNL.0000000000012572.},\n abstract = {BACKGROUND AND OBJECTIVES: Observational research has shown that a substantial proportion of all dementia cases worldwide is attributable to modifiable risk factors. Dementia risk scores might be useful to identify high-risk individuals and monitor treatment adherence. The objective of this study was to investigate whether a dementia risk score, the LIfestyle for BRAin health (LIBRA) index, is associated with MRI markers and cognitive functioning/impairment in the general population. METHODS: Cross-sectional data was used from the observational population-based cohort of The Maastricht Study.. The weighted compound score of LIBRA (including twelve dementia risk and protective factors, e.g. hypertension, physical inactivity) was calculated, with higher scores indicating higher dementia risk. Standardized volumes of white matter, grey matter, CSF (as proxy for general brain atrophy), white matter hyperintensities, and presence of cerebral small vessel disease were derived from 3T MRI. Cognitive functioning was tested in three domains: memory, information processing speed, and executive function and attention. Values </=1.5 SD below the average were defined as cognitive impairment. Multiple regression analyses and structural equation modelling were used, adjusted for age, sex, education, intracranial volume and type-2 diabetes. RESULTS: Participants (n=4,164; mean age 59y; 49.7% men) with higher LIBRA scores (mean=1.19, range=-2.7 to +9.2), denoting higher dementia risk, had higher volumes of white matter hyperintensities (beta=0.051, p=.002), and lower scores on information processing speed (beta=-0.067, p=.001) and executive function and attention (beta=-0.065, p=.004). Only in men, associations between LIBRA and volumes of grey matter (beta=-0.093, p<.001), CSF (beta=0.104, p<.001) and memory (beta=-0.054, p=.026) were found. White matter hyperintensities and CSF volume partly mediated the association between LIBRA and cognition. DISCUSSION: Higher health- and lifestyle-based dementia risk is associated with markers of general brain atrophy, cerebrovascular pathology and worse cognition, suggesting that LIBRA meaningfully summarizes individual lifestyle-related brain health. Improving LIBRA factors on an individual level might improve population brain health. Sex differences in lifestyle-related pathology and cognition need to be further explored. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that higher LIBRA scores are significantly associated with lower scores on some cognitive domains and a higher risk of cognitive impairment.},\n ISSN = {1526-632X (Electronic)\n0028-3878 (Linking)},\n DOI = {10.1212/WNL.0000000000012572},\n url = {https://www.ncbi.nlm.nih.gov/pubmed/34433680},\n year = {2021},\n type = {Journal Article}\n}\n\n","author_short":["Heger, I. S.","Deckers, K.","Schram, M. T.","Stehouwer, C. D.","Dagnelie, P. C.","van der Kallen, C. J.","Koster, A.","Eussen, S. J.","Jansen, J. F.","Verhey, F. R.","van Boxtel, M. P.","Kohler, S."],"key":"RN289","id":"RN289","bibbaseid":"heger-deckers-schram-stehouwer-dagnelie-vanderkallen-koster-eussen-etal-associationsofthelifestyleforbrainhealthindexwithstructuralbrainchangesandcognitionresultsfromthemaastrichtstudy-2021","role":"author","urls":{"Paper":"https://www.ncbi.nlm.nih.gov/pubmed/34433680"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","dataSources":["TCkfRWJAZvbLAZi29"],"keywords":[],"search_terms":["associations","lifestyle","brain","health","index","structural","brain","changes","cognition","results","maastricht","study","heger","deckers","schram","stehouwer","dagnelie","van der kallen","koster","eussen","jansen","verhey","van boxtel","kohler"],"title":"Associations of the Lifestyle for Brain Health Index With Structural Brain Changes and Cognition: Results From the Maastricht Study","year":2021}