Healthy ageing trajectories and lifestyle behaviour: the Mexican Health and Aging Study. Daskalopoulou, C., Koukounari, A., Wu, Y., Terrera, G. M., Caballero, F. F., de la Fuente, J., Tyrovolas, S., Panagiotakos, D. B., Prince, M., & Prina, M. Scientific Reports, 9(1):11041, July, 2019. Number: 1 Publisher: Nature Publishing Group![Healthy ageing trajectories and lifestyle behaviour: the Mexican Health and Aging Study [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Projections show that the number of people above 60 years old will triple by 2050 in Mexico. Nevertheless, ageing is characterised by great variability in the health status. In this study, we aimed to identify trajectories of health and their associations with lifestyle factors in a national representative cohort study of older Mexicans. We used secondary data of 14,143 adults from the Mexican Health and Aging Study (MHAS). A metric of health, based on the conceptual framework of functional ability, was mapped onto four waves (2001, 2003, 2012, 2015) and created by applying Bayesian multilevel Item Response Theory (IRT). Conditional Growth Mixture Modelling (GMM) was used to identify latent classes of individuals with similar trajectories and examine the impact of physical activity, smoking and alcohol on those. Conditional on sociodemographic and lifestyle behaviour four latent classes were suggested: high-stable, moderate-stable, low-stable and decliners. Participants who did not engage in physical activity, were current or previous smokers and did not consume alcohol at baseline were more likely to be in the trajectory with the highest deterioration (i.e. decliners). This study confirms ageing heterogeneity and the positive influence of a healthy lifestyle. These results provide the ground for new policies.
@article{daskalopoulou_healthy_2019,
title = {Healthy ageing trajectories and lifestyle behaviour: the {Mexican} {Health} and {Aging} {Study}},
volume = {9},
copyright = {2019 The Author(s)},
issn = {2045-2322},
shorttitle = {Healthy ageing trajectories and lifestyle behaviour},
url = {https://www.nature.com/articles/s41598-019-47238-w},
doi = {10.1038/s41598-019-47238-w},
abstract = {Projections show that the number of people above 60 years old will triple by 2050 in Mexico. Nevertheless, ageing is characterised by great variability in the health status. In this study, we aimed to identify trajectories of health and their associations with lifestyle factors in a national representative cohort study of older Mexicans. We used secondary data of 14,143 adults from the Mexican Health and Aging Study (MHAS). A metric of health, based on the conceptual framework of functional ability, was mapped onto four waves (2001, 2003, 2012, 2015) and created by applying Bayesian multilevel Item Response Theory (IRT). Conditional Growth Mixture Modelling (GMM) was used to identify latent classes of individuals with similar trajectories and examine the impact of physical activity, smoking and alcohol on those. Conditional on sociodemographic and lifestyle behaviour four latent classes were suggested: high-stable, moderate-stable, low-stable and decliners. Participants who did not engage in physical activity, were current or previous smokers and did not consume alcohol at baseline were more likely to be in the trajectory with the highest deterioration (i.e. decliners). This study confirms ageing heterogeneity and the positive influence of a healthy lifestyle. These results provide the ground for new policies.},
language = {en},
number = {1},
urldate = {2020-07-08},
journal = {Scientific Reports},
author = {Daskalopoulou, Christina and Koukounari, Artemis and Wu, Yu-Tzu and Terrera, Graciela Muniz and Caballero, Francisco Félix and de la Fuente, Javier and Tyrovolas, Stefanos and Panagiotakos, Demosthenes B. and Prince, Martin and Prina, Matthew},
month = jul,
year = {2019},
pmcid = {PMC6667468},
pmid = {31363117},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {MHAS, Mexican Health and Aging Study},
pages = {11041},
}
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