Evidence map›Paper›PMID 42553039›Full record

ArticleFrontiers in public health2026

Association between body mass index and physical fitness index among middle and high school students aged 13-18 in Shanxi Province: a cross-sectional study.

Shaochen Zhou, Dingyu Zhao, Hao Luo

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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Shaochen ZhouDepartment of Physical Education, Shanxi University, Taiyuan, Shanxi, China.
Dingyu ZhaoDepartment of Physical Education, Shanxi University, Taiyuan, Shanxi, China.
Hao LuoDepartment of Physical Education, Shanxi University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the relationship between Body Mass Index (BMI) and Physical Fitness Index (PFI) among middle and high school students aged 13-18 in Shanxi Province, and to provide a reference for adolescent physical health promotion. Methods: A total of 3,600 middle and high school students aged 13-18 (1,800 boys and 1,800 girls) from Shanxi Province who participated in the 2025 National Physical Fitness and Health Survey were selected as the study subjects. They were divided into underweight, normal weight, overweight, and obese groups based on the Chinese screening standards for overweight, obesity, and malnutrition in school-age children and adolescents. The Z-score method was used to calculate the Z-scores for each physical fitness indicator, which were then summed to obtain the Physical Fitness Index (PFI), comprehensively reflecting physical fitness status. Differences in physical fitness indicators among students of different genders and different BMI groups were compared, and the association between BMI and PFI was examined using a quadratic polynomial regression model, in which age was included as a covariate and BMI was centered to minimize multicollinearity. Results: Analysis of data from middle and high school students aged 13-18 revealed significant differences in PFI among different BMI groups ( Conclusion: Based on the 2025 physical fitness survey data from Shanxi Province, this study found an inverted U-shaped association between BMI and PFI among middle and high school students aged 13-18, with the normal weight range corresponding to the peak PFI, while both underweight and overweight/obesity were associated with lower PFI. This association remained significant after controlling for age, but had limited explanatory power in girls. It is recommended that school physical education programs address both underweight and overweight/obese students with targeted interventions, and consider gender differences when developing intervention strategies. Future studies should include variables such as physical activity, dietary habits, and body fat percentage, and adopt longitudinal designs to verify the directionality of the association.

Indexed as

Body Mass IndexPhysical FitnessStudentsAdolescentChinaCross-Sectional StudiesFemaleHumansMaleObesityOverweightadolescentBMI-body mass indexinverted U-shaped relationshipPFIschool health

Identifiers

PMID42553039
PMCPMC13433156

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.