ArticleBMC public health2024
Enhancing understanding of healthy aging based on time-varying dependencies among multidimensional health, life satisfaction, and health behaviors of older adults aged 60 years and over.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Pooled it
- Impact of physical exercise on health and social interaction in older adults: a meta-analysis.Frontiers in public health · 2025Pooled it
- Exploring the dynamic biopsychosocial health needs of middle-aged adults living alone: a qualitative study.International journal of qualitative studies on health and well-being · 2026Article
- What is the cost of dedication to teaching? A school-based longitudinal quantitative study on habits and quality of life.PloS one · 2026Article
- Key pillars of active aging in the context of the Decade of Healthy Ageing (2021-2030): an integrative literature review.Dementia & neuropsychologia · 2026Article
- Determinants of social health in later life: the roles of family integration, social participation, and psychosocial well-being.Frontiers in sociology · 2026Article
- Cumulative associations between health behaviours, mental well-being, and health over 30 years.Annals of medicine · 2025Article
- Article
- A participatory evaluation of an intergenerational project on the lives of the older adults in rural central India using the most significant change approach.Journal of family medicine and primary care · 2025Article
- Moderating effects of resilience and depression on social support and life satisfaction in patients with IBD: a cross-sectional study.Scientific reports · 2025Article
- Non-Contact Fall Detection System Using 4D Imaging Radar for Elderly Safety Based on a CNN Model.Sensors (Basel, Switzerland) · 2025Article
- Life satisfaction among older adults in China: who gains more from community-based health services?Frontiers in public health · 2025Article
- Multidimensional health status and its impact on health care consumption behavior among elderly people with chronic diseases: evidence from CHARLS in China.Frontiers in psychology · 2025Article
- Characteristics, Needs, and Perspectives of Individuals Living Alone With Dementia: An Integrative Review.Health science reports · 2025Article
- Physical Activity, Functional Status, and Quality of Life Among Older Adults in India.SAGE open nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundHealthy aging is a process of not only achieving good health but also increasing the life satisfaction of older adults aged 60 years and over, in which health behaviors play an important role. There is a lack of research on the time-varying dependencies between health, life satisfaction, and health behaviors, impeding a deeper understanding of healthy aging. PURPOSE: To develop an integrated framework for modeling the interrelationships among the components of healthy aging between multiple time slices.
methodsBased on the Chinese Longitudinal Healthy Living Survey (CLHLS) data in the three waves of 2011/2012, 2014, and 2017/2018, Bayesian network and dynamic Bayesian network are jointly employed to study the relationships among the components of healthy aging within one time slice, as well as to explore the time-varying dependencies among the components between time slices.
resultsThe results of structure learning reveal the direction of effects between different dimensions of health, with mental health and social health affecting physical health and self-rated health affecting both physical and mental health. In addition, health behaviors are found to affect mental health and social health, while self-rated health can influence life satisfaction. The parameters learned from the data show the magnitude and direction of concurrent effects, one-period lagged effects and two-period lagged effects between the factors, which find that the time-varying dependencies vary but are generally positive, long-term, and accumulative over time. In addition, the results of autoregressive effects show the positive predictive effects of health and life satisfaction.
conclusionsIt confirms the influence pathway from health behaviors to multidimensional health to life satisfaction, and the time-varying dependencies among the components of healthy aging, which facilitates a deeper understanding of healthy aging. Combining the results of autoregressive effects and descriptive statistics, it further indicates that healthy aging is a comprehensive result arising from interactions of multiple factors. Policymakers should guide older adults aged 60 years and over to adopt healthier behaviors and ensure the long-term sustainability and continuity of policies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.