Evidence map›Paper›PMID 42630306›Full record

ArticleFrontiers in public health2026

The moderating effect of body mass index on the association between lung function and physical fitness among adolescents.

Yi Fang, Juhao Hou, Shilin Wen

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
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

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

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

3 authors.

Yi FangInstitute of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, China.
Juhao HouInstitute of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, China.
Shilin WenInstitute of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the moderating effect of body mass index (BMI) on the association between lung function and physical performance in middle school students, providing quantitative empirical evidence for the implementation of precision physical education. Methods: A total of 493 eighth-grade students from a middle school in Beijing were recruited for this study. BMI, vital capacity, and various physical fitness indicators were assessed, and the participants were categorized into four groups: normal weight, overweight, obese, and underweight. Spearman rank correlation analysis with Bonferroni correction was employed to evaluate the relationship between lung function and physical fitness across different BMI groups. Following mean-centering of the variables, hierarchical regression models combined with Bootstrap resampling were constructed to examine the interaction and moderating effects. Results: The association between lung function and physical fitness exhibited significant BMI-stratified heterogeneity. In the normal-weight group, vital capacity correlated with the standing long jump (boys: Conclusion: The moderating effect of BMI on adolescent vital capacity and athletic performance demonstrates significant stratified heterogeneity. The translation of vital capacity into physical fitness diverges once specific BMI thresholds are surpassed. Accordingly, physical education should abandon 'one-size-fits-all' approaches in favor of precision interventions integrating individual physiological profiles.

Indexed as

Body Mass IndexLungPhysical FitnessAdolescentBeijingFemaleHumansMaleRespiratory Function TestsVital Capacityadolescentsbody mass indexphysical educationphysical fitnessschool sportsvital capacity

Identifiers

PMID42630306
PMCPMC13493583

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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 OpenQuestion graph.