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The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies

BACKGROUND: Research has suggested the positive impact of physical activity on health and wellbeing in older age, yet few studies have investigated the associations between physical activity and heterogeneous trajectories of healthy ageing. We aimed to identify how physical activity can influence he...

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Autores principales: Moreno-Agostino, Darío, Daskalopoulou, Christina, Wu, Yu-Tzu, Koukounari, Artemis, Haro, Josep Maria, Tyrovolas, Stefanos, Panagiotakos, Demosthenes B., Prince, Martin, Prina, A. Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364650/
https://www.ncbi.nlm.nih.gov/pubmed/32677960
http://dx.doi.org/10.1186/s12966-020-00995-8
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author Moreno-Agostino, Darío
Daskalopoulou, Christina
Wu, Yu-Tzu
Koukounari, Artemis
Haro, Josep Maria
Tyrovolas, Stefanos
Panagiotakos, Demosthenes B.
Prince, Martin
Prina, A. Matthew
author_facet Moreno-Agostino, Darío
Daskalopoulou, Christina
Wu, Yu-Tzu
Koukounari, Artemis
Haro, Josep Maria
Tyrovolas, Stefanos
Panagiotakos, Demosthenes B.
Prince, Martin
Prina, A. Matthew
author_sort Moreno-Agostino, Darío
collection PubMed
description BACKGROUND: Research has suggested the positive impact of physical activity on health and wellbeing in older age, yet few studies have investigated the associations between physical activity and heterogeneous trajectories of healthy ageing. We aimed to identify how physical activity can influence healthy ageing trajectories using a harmonised dataset of eight ageing cohorts across the world. METHODS: Based on a harmonised dataset of eight ageing cohorts in Australia, USA, Mexico, Japan, South Korea, and Europe, comprising 130,521 older adults (M(age) = 62.81, SD(age) = 10.06) followed-up up to 10 years (M(follow-up) = 5.47, SD(follow-up) = 3.22), we employed growth mixture modelling to identify latent classes of people with different trajectories of healthy ageing scores, which incorporated 41 items of health and functioning. Multinomial logistic regression modelling was used to investigate the associations between physical activity and different types of trajectories adjusting for sociodemographic characteristics and other lifestyle behaviours. RESULTS: Three latent classes of healthy ageing trajectories were identified: two with stable trajectories with high (71.4%) or low (25.2%) starting points and one with a high starting point but a fast decline over time (3.4%). Engagement in any level of physical activity was associated with decreased odds of being in the low stable (OR: 0.18; 95% CI: 0.17, 0.19) and fast decline trajectories groups (OR: 0.44; 95% CI: 0.39, 0.50) compared to the high stable trajectory group. These results were replicated with alternative physical activity operationalisations, as well as in sensitivity analyses using reduced samples. CONCLUSIONS: Our findings suggest a positive impact of physical activity on healthy ageing, attenuating declines in health and functioning. Physical activity promotion should be a key focus of healthy ageing policies to prevent disability and fast deterioration in health.
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spelling pubmed-73646502020-07-20 The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies Moreno-Agostino, Darío Daskalopoulou, Christina Wu, Yu-Tzu Koukounari, Artemis Haro, Josep Maria Tyrovolas, Stefanos Panagiotakos, Demosthenes B. Prince, Martin Prina, A. Matthew Int J Behav Nutr Phys Act Research BACKGROUND: Research has suggested the positive impact of physical activity on health and wellbeing in older age, yet few studies have investigated the associations between physical activity and heterogeneous trajectories of healthy ageing. We aimed to identify how physical activity can influence healthy ageing trajectories using a harmonised dataset of eight ageing cohorts across the world. METHODS: Based on a harmonised dataset of eight ageing cohorts in Australia, USA, Mexico, Japan, South Korea, and Europe, comprising 130,521 older adults (M(age) = 62.81, SD(age) = 10.06) followed-up up to 10 years (M(follow-up) = 5.47, SD(follow-up) = 3.22), we employed growth mixture modelling to identify latent classes of people with different trajectories of healthy ageing scores, which incorporated 41 items of health and functioning. Multinomial logistic regression modelling was used to investigate the associations between physical activity and different types of trajectories adjusting for sociodemographic characteristics and other lifestyle behaviours. RESULTS: Three latent classes of healthy ageing trajectories were identified: two with stable trajectories with high (71.4%) or low (25.2%) starting points and one with a high starting point but a fast decline over time (3.4%). Engagement in any level of physical activity was associated with decreased odds of being in the low stable (OR: 0.18; 95% CI: 0.17, 0.19) and fast decline trajectories groups (OR: 0.44; 95% CI: 0.39, 0.50) compared to the high stable trajectory group. These results were replicated with alternative physical activity operationalisations, as well as in sensitivity analyses using reduced samples. CONCLUSIONS: Our findings suggest a positive impact of physical activity on healthy ageing, attenuating declines in health and functioning. Physical activity promotion should be a key focus of healthy ageing policies to prevent disability and fast deterioration in health. BioMed Central 2020-07-16 /pmc/articles/PMC7364650/ /pubmed/32677960 http://dx.doi.org/10.1186/s12966-020-00995-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Moreno-Agostino, Darío
Daskalopoulou, Christina
Wu, Yu-Tzu
Koukounari, Artemis
Haro, Josep Maria
Tyrovolas, Stefanos
Panagiotakos, Demosthenes B.
Prince, Martin
Prina, A. Matthew
The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies
title The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies
title_full The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies
title_fullStr The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies
title_full_unstemmed The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies
title_short The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies
title_sort impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364650/
https://www.ncbi.nlm.nih.gov/pubmed/32677960
http://dx.doi.org/10.1186/s12966-020-00995-8
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