期刊
出版社
BMC
DOI: 10.1186/s12966-020-00995-8
关键词
Growth mixture modelling; Lifestyle behaviours; Health metric; Data harmonisation; Physical activity
资金
- five-year Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project
- European Union's Horizon 2020 research and innovation programme [635316]
- South Australian Health Commission
- Australian Rotary Health Research Fund
- US National Institute on Aging [AG 08523-02]
- Office for the Ageing (SA)
- National Health and Medical Research Council [NHMRC 22922]
- Premiers Science Research Fund (SA)
- Australian Research Council [DP0879152, DP130100428]
- Sanofi-Aventis
- Ministry of Health of Spain
- FIS grant [12/1166]
- Centro de Investigacion Biomedica en Red de Epidemiologia y Salud Publica (CIBERESP), Instituto de Salud Carlos III
- U.S. National Institute of Aging
- National Centre for Social Research
- University College London (UCL)
- Institute for Fiscal Studies
- National Institute on Aging [NIA U01AG009740]
- Social Security Administration
- Korea Employment Information Service (KEIS)
- Korea Labor Institute's KLOSA Team
- National Institutes of Health/National Institute on Aging [NIH R01AG018016]
- INEGI in Mexico
- European Commission through FP5 [QLK6-CT-200100360]
- European Commission through FP6 [SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812]
- European Commission through FP7 [211909, 227822, 261982]
- German Ministry of Education and Research
- Max Planck Society for the Advancement of Science
- U.S. National Institute on Aging [U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-455301, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C]
- MRC [MR/K021907/1]
- Elderly Citizens Homes (SA)
- MRC [MR/K021907/1] Funding Source: UKRI
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,SDage = 10.06) followed-up up to 10 years (Mfollow-up = 5.47,SDfollow-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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据