Evidence map›Paper›PMID 39411497›Full record

SynthesisFrontiers in public health2024

The mediating effect of resilience between physical activity and mental health: a meta-analytic structural equation modeling approach.

Hao Lin, Yuying Zhu, Qingzao Liu, Shan Li

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
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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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hao LinCollege of Physical Education, Chengdu University, Chengdu, China.
Yuying ZhuCollege of Physical Education, Chengdu University, Chengdu, China.
Qingzao LiuCollege of Physical Education, Chengdu University, Chengdu, China.
Shan LiCollege of Physical Education, Chengdu University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While the correlation between physical activity (PA) and mental health is well known, the mediating mechanism of resilience between the two variables remains unclear. Objectives: To systematically evaluate the relationship between PA and mental health, and explore the mediating role of resilience between them. Methods: A systematic search of electronic databases (PubMed, Web of Science, ProQuest, Ebsco, China Knowledge, and China Biomedical Database) was conducted to identify relevant studies, and meta-analytic procedures were used to assess the strength of the relationships between PA and mental health. Furthermore, a meta-analytic structural equation model (MASEM) was used to assess the mediating effects of resilience, ensuring the reliability of our findings. Results: The findings of 15 studies (17,043 subjects) were subjected to meta-analysis and route analysis. The findings of the meta-analysis revealed a statistically significant positive correlation of 0.288 (95% CI, 0.166-0.402) between PA and positive indicators of mental health, as well as a statistically significant negative correlation (95% CI, -0.342 to -0.171) with negative indicators of mental health. Furthermore, the results of MASEM path analysis indicated that PA may indirectly impact both positive and negative indicators of mental health through the mediating factor of resilience. The indirect effect values were 0.108 (95% CI, 0.080-0.141) and -0.074 (95% CI, -0.100 to -0.051), respectively, accounting for 40.15% of the total effect value and 28.91%. Conclusion: Physical activity is positively correlated with positive indicators of mental health and negatively correlated with negative indicators of mental health. Moreover, PA can positively influence mental health through the mediating role of resilience.

Indexed as

ExerciseLatent Class AnalysisMental HealthResilience, PsychologicalChinaHumansmental healthmeta-analysisphysical activityresiliencestructural equation modeling

Identifiers

PMID39411497
PMCPMC11473373

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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.