Evidence map›Paper›PMID 41567775›Full record

Observational studyFrontiers in public health2025

Does physical exercise inhibit smoking behavior? Evidence from the China General Social Survey.

Shutong Zhao, Haiyan Huang

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

2 authors.

Shutong ZhaoCollege of Physical Education, West Anhui University, Lu'an, China.
Haiyan HuangSchool of Management, Beijing Sport University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Examining how physical exercise influences smoking behavior and the mediating mechanisms involved helps clarify the broader social benefits of exercise and informs efforts to improve population health and build a more harmonious society. Methods: This cross-sectional observational study analyzed the nationally representative 2021 China General Social Survey (CGSS). After sample screening, we retained 2,373 valid observations. We estimated OLS models to examine the association between physical exercise and residents' smoking behavior. For robustness, we re-estimated ordered probit and ordered logit specifications and used propensity score matching (PSM) as an endogeneity check against the baseline estimates. We further assessed mediation by mental health and social support and tested the moderating role of individual income. Results: The results showed a significant positive association between physical exercise and reduced smoking ( Conclusion: Physical exercise is associated with reduced smoking, and the mechanisms of mental health and social support help explain this association. These findings deepened understanding of how exercise relates to smoking behavior and provided practical implications for public health policy and tobacco-control interventions in China. The study also extended research on the social and psychological effects of exercise and offered a theoretical basis for future work. However, because the analysis is cross-sectional and relies on self-reported measures from a single country and a single-year dataset, the findings are correlational and context-specific.

Indexed as

ExerciseSmokingAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocial SupportSurveys and QuestionnairesChina General Social Surveymental healthphysical exercisepsychological effectssmoking behaviorsocial interactionsocial support

Identifiers

PMID41567775
PMCPMC12816180

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.