Evidence map›Paper›PMID 40790133›Full record

ArticleScientific reports2025

System dynamics modeling and simulation of exercise-based health promotion in the context of population aging.

Kairan Yang, Lijun Zhou, Hongyin Huang, Xiao Zheng, Hengtao Guo, Xiang Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kairan YangCollege of Physical Education, Hunan Normal University, Hunan, 410012, China.
Lijun ZhouXiangsihu College of GuangXi Minzu University, Guangxi, 530000, China.
Hongyin HuangXiangsihu College of GuangXi Minzu University, Guangxi, 530000, China.
Xiao ZhengCollege of Physical Education, Hunan Normal University, Hunan, 410012, China.
Hengtao Guo *College of Physical Education, Hunan Normal University, Hunan, 410012, China. 2013478039@qq.com.
Xiang Zhang *College of Physical Education, Hunan Normal University, Hunan, 410012, China. 993280854@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growing trend of global population aging, all facets of society are facing unprecedented challenges. How to enhance public enthusiasm for physical activity and how to promote public health through exercise have become an increasingly prominent topic of interest in academia. This paper uses literature analysis, policy analysis, system dynamics and other research methods to analyze the core indicators and key elements of exercise-based health promotion based on social support theory. Taking China as an example, this paper establishes a system dynamics model and conducts simulation analysis by adjusting the proportion of government support, social support and individual support. Research result: (1) under the existing development model, the proportion of the population exercising in China will be 40.39% in 2030, and the healthy-life expectancy will reach 72.66 years old, which can meet the stage requirements of the relevant policies; (2) Increasing the inputs of government support, social support, and individual support, respectively, can all have a positive impact on the exercise-based health promotion; (3) The Coordinated development mode yields the most favorable outcomes for health promotion through physical activity, as its impact effectiveness is significantly higher than that of the single-element priority development mode(Government support priority mode, Social support priority mode, Social support priority mode) Research conclusion: The overall development of exercise-based health promotion must consider the interaction of government support, social support and individual support, and allocate resources rationally.

Indexed as

AgingExerciseHealth PromotionPopulation DynamicsAgedChinaHumansModels, TheoreticalSocial SupportExercise-based health promotionSocial support theorySystem dynamics

Identifiers

PMID40790133
PMCPMC12339723

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LicenceCC BY-NC-ND
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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.