Evidence map›Paper›PMID 40819049›Full record

ArticleBMC public health2025

The impact mechanism of physical activity levels on active aging among middle-aged and older adults: an age-period-cohort analysis from 2011 to 2018.

Ji-Ru Guo, Long-Yin Chen, Xiao-Li Zhang, Gu-Yue Wang

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ji-Ru Guo *School of Economics and Management, Shanghai University of Sport, Shanghai, China.
Long-Yin Chen *School of Art, Xi'an Physical Education University, Xi'an, China.
Xiao-Li ZhangSchool of Physical Education, Xi'an Physical Education University, Xi'an, China. zhangxl8079@gmail.com.
Gu-Yue WangSchool of Sports Economics and Management, Xi'an Physical Education University, Xi'an, China.

Funding

Shaanxi Provincial Research Institute of Philosophy and Social Sciences 2025YB0292the China Postdoctoral Science Foundation 346620
6 · The paper itself

Abstract

backgroundWith the adoption of active aging as a national strategy in China, physical activity has emerged as a vital factor in fostering active aging due to its practicality, feasibility, and accessibility. Serving as a key means for older adults to maintain meaningful engagement in later life, physical activity significantly enhances their well-being. However, most existing studies emphasize discursive analysis and experimental interventions, lacking comprehensive empirical research on how the type, intensity, and frequency of physical activity relate to active aging. Notably, the impact of dynamic factors such as age, period, and cohort effects has been largely neglected. Therefore, this study aims to systematically examine these factors to refine physical activity intervention strategies and establish a scientific foundation for advancing active aging.

methodsBased on data from the 2011–2018 China Health and Retirement Longitudinal Study, this study explores the evolving impact of physical activity levels on active aging among middle-aged and older adults (aged 45–90 years). Employing hierarchical age-period-cohort cross-classified random effects models, the analysis investigates how this relationship varies across age, observation period, and birth cohort.

resultsFrom a static standpoint, a significant correlation was observed between physical activity and active aging levels in middle-aged and older adults, with moderate physical activity showing the strongest effect (coef.= 0.013). From a dynamic perspective, the impact of physical activity on active aging was significant across age, period, and cohort (P < 0.001). In terms of age, there was a nonlinear relationship with active aging, where the decline was slower until the age of 55, after which it accelerated. However, a higher level of physical activity can play a role in slowing the decline of active aging. Regarding the period, the level of active aging fluctuated and increased between 2011 and 2018. The influence of low-intensity physical activity on active aging was more pronounced before 2015, while the impact of moderate and high-intensity physical activity grew after 2016. In terms of cohort, the active aging trajectory for middle-aged and older adults followed a “rise-decline-rise” pattern, with the effects of varying intensities of physical activity on active aging showing alternating trends.

conclusionVarying intensities of physical activity impact the process of active aging. Additionally, age, period, and cohort differences should also be taken into account to inform the development of targeted intervention strategies.

Indexed as

AgingExerciseAgedAged, 80 and overAge FactorsChinaCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedActive agingChina health and retirement longitudinal studyHierarchical age-period-cohort cross-classified random effects modelsMiddle-aged and older adultsPhysical activity levels

Identifiers

PMID40819049
PMCPMC12357376

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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.