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Healthy ageing trajectories and lifestyle behaviour: the Mexican Health and Aging Study.

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.

SUBMITTER: Daskalopoulou C

PROVIDER: S-EPMC6667468 | biostudies-other | 2019 Jul

REPOSITORIES: biostudies-other

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Healthy ageing trajectories and lifestyle behaviour: the Mexican Health and Aging Study.

Daskalopoulou Christina C Koukounari Artemis A Wu Yu-Tzu YT Terrera Graciela Muniz GM Caballero Francisco Félix FF de la Fuente Javier J Tyrovolas Stefanos S Panagiotakos Demosthenes B DB Prince Martin M Prina Matthew M

Scientific reports 20190730 1

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 abil ...[more]

PMID: 31363117

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Project description:IntroductionMaintaining older adults' health and well-being can be achieved through the optimization of physical and mental health, while preserving independence, social participation, and quality of life. Cognitive change has been described as a normal process of aging and it involves domains such as processing speed, attention, memory, language, visuospatial abilities, and executive functioning, among others.ObjectiveTo describe cognitive changes in older adults with healthy aging.MethodsThis is a study that involved data from 14,893 and 14,154 individuals aged >60 years or older from the 2012 and 2015 waves, respectively, who participated in the Mexican Health and Aging Study (MHAS). Participants with healthy aging were identified and described in the MHAS-2012 wave and followed to 2015. Eight cognitive domains evaluated in the Cross-Cultural Cognitive Evaluation (CCCE,) as well as sociodemographic and health characteristics, were described. Criteria for healthy aging involved the following: CCCE ≥ -1.5 standard deviations above the mean on reference norms, independence on basic and instrumental activities of daily living, self-reported "life close to ideal," and preserved functional and social performance.ResultsFrom a total of n = 9,160 older adults from the MHAS-2012 wave, n = 1,080 (11.8%) had healthy aging. In the healthy aging group, the median age was 67 years (IQR: 63-73), 58.1% were female and the median for education was 6 (IQR: 3-8) years. The mean CCCE score was 57 (SD: 16.9) points. In the MHAS-2012 cross-sectional analysis, except for orientation, visuospatial abilities, and verbal fluency, all cognitive domain scores were lower with passing age. When comparing cognitive domain scores in the 225 older adults identified with healthy aging between the 2012 and 2015 MHAS waves, there were almost no observable differences.ConclusionIn the cross-sectional analysis, Mexican adults with healthy aging had lower scores in the verbal learning memory, visual scanning, numeracy, visual memory, and verbal recall domains', as well as lower global cognitive scores in the higher age groups. There were no cognitive changes in the 3 year follow-up, except for a lower gradient of scores in the verbal recall memory domain. Longer prospective studies are needed to characterize greater cognitive changes.

Project description:BackgroundThe aim of the study was to examine the relations of individual lifestyle factors and its composite score with healthy ageing among Chinese adults.MethodWe included 14 159 participants aged 45-74 years at baseline from the Singapore Chinese Health Study, a population-based prospective cohort. A protective lifestyle score (0-5 scale) was calculated at baseline (1993-1998) and updated at the second follow-up visit (2006-2010) on the basis of optimal body mass index (18.5-22.9 kg/m2), healthy diet (upper 40% of the Alternative Healthy Eating Index score), being physically active (≥2 h/wk of moderate activity or ≥0.5 h/wk of strenuous activity), nonsmoking (never smoking), and low-to-moderate alcohol drinking (>0 to ≤14 drinks/wk for men and >0 to ≤7 drinks/wk for women). Healthy ageing was assessed at the third follow-up visit (2014-2016) and was defined as absence of specific chronic diseases, absence of cognitive impairment and limitations in instrumental activities of daily living, good mental and overall self-perceived health, good physical functioning, and no function-limiting pain.ResultsAbout 20.0% (2834) of the participants met the criteria of healthy ageing after a median follow-up of 20 years. Each 1-point increase in the protective lifestyle score computed at baseline and second follow-up visits was associated with higher likelihood of healthy ageing by 25% (95% CI: 20%-30%) and 24% (18%-29%), respectively. The population-attributable risk percent of adherence to 4-5 protective lifestyle factors was 34.3% (95% CI: 25.3%-42.3%) at baseline and 31.3% (23.0%-38.7%) at second follow-up visits for healthy ageing. In addition, positive increase in lifestyle scores from baseline to second follow-up visits was also significantly associated with a higher likelihood of healthy ageing with an odds ratio of 1.18 (95% CI: 1.12%-1.24%) for each increment in protective lifestyle score.ConclusionsOur findings confirmed that adopting healthy lifestyle factors, even after midlife, was associated with healthy ageing at old age.

Project description:BackgroundIn evaluating technology-based behaviour change interventions, it is increasingly important to have a monitoring plan for intervention fidelity. It is important to maintain intervention fidelity to ensure that the theory-based intervention that is being tested is what causes the observed changes, particularly for eHealth behaviour change interventions. In this protocol, we outline the intervention fidelity and monitoring protocol for Healthy Life Trajectory Initiative (HeLTI) Canada, a randomized controlled trial evaluating the effect of a preconception-early childhood technology-based intervention delivered by public health nurses among pregnancy-planning women and their partners to optimize child growth and development.MethodsThe HeLTI Canada fidelity protocol is based on the National Institutes of Health Behaviour Change Consortium (NIH BCC) Treatment Fidelity Framework, outlining the following components of intervention fidelity: study design, provider training, intervention delivery, intervention receipt, and intervention enactment. The intervention fidelity components and associated monitoring strategies were developed to align with the HeLTI Canada approach. Strategies for intervention fidelity monitoring include a pre-post written evaluation of training, standardization of provider training, use and monitoring of activity logs, and intervention session checklists. Possible challenges to intervention fidelity include provider turnover due to the length of the trial and lack of ability to directly monitor participant behaviour change in real-life settings. Details about intervention fidelity monitoring are provided in detail. The study launched in January 2021 and is currently recruiting.DiscussionUsing the NIH BCC Treatment Fidelity Framework, HeLTI Canada has a robust framework for monitoring and reporting intervention fidelity to improve intervention validity, ability to assess intervention effectiveness, and transparency.Trial registrationISRCN ISRCTN13308752 . Registered on February 29, 2019.

Project description:BackgroundThe ageing process is highly heterogeneous leading to diverse ageing trajectories. Such trajectories have been modelled to study trends and determinants of ageing and could potentially be used to inform the planning of rehabilitation services at population level. The objective of this paper was to explore whether healthy ageing trajectories are suitable to identify targets for rehabilitation interventions for the ageing population.MethodsData from the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) harmonized cohort and the English Longitudinal Study of Ageing (ELSA), which is included in ATHLOS, were used. Growth mixture models were implemented to replicate healthy ageing trajectories modelled elsewhere as 'high stable', 'low stable', and 'rapid decline'. Regularized partial correlation networks were used to estimate expected-influence and bridge expected-influence centrality measures.ResultsHealthy ageing trajectories modelled with ATHLOS (N = 131116) and ELSA (N = 14904) were consistent with previous work. At the first individual wave, prevalence of problems of respondents in the 'high stable' and 'rapid decline' trajectories were comparable; at the last individual wave, prevalence remained similar for the 'high stable' but increased substantially in all domains for the 'rapid decline' trajectory. Expected-influence centrality measures provided different results than prevalence estimates. For instance, in the first individual wave mobility and carrying, moving, and handling objects had highest impact on overall functioning for the 'rapid decline' and 'high stable' trajectories, while the most prevalent functioning problems concerned cognition, pain, as well as energy and drive functions.ConclusionsOur study stressed the relevance of healthy ageing trajectories for identifying functioning domains and categories that need to be targeted by rehabilitation services in a heterogeneous ageing population. The use of such trajectories at country level has the potential to make a meaningful contribution to the planning and delivery of rehabilitation interventions through health systems and to informed policy making.

Dataset Information

Healthy ageing trajectories and lifestyle behaviour: the Mexican Health and Aging Study.

Publications

Healthy ageing trajectories and lifestyle behaviour: the Mexican Health and Aging Study.

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