Evidence map›Paper›PMID 41166434›Full record

ArticlePloS one2025

Physical Fitness Index and body mass index: A cross-sectional study based on 1.3 million college students.

Sunchao Yin, Peng Jin, Qiang He, Yonghong Zhi

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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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

4 authors.

Sunchao YinCollege of Special Police, Nanjing Police University, Nanjing, China.
Peng JinDepartment of Physical Education, Southeast University, Nanjing, China.
Qiang HeDepartment of Physical Education, Nanjing University of Finance and Economics, Nanjing, China.
Yonghong ZhiDepartment of Physical Education, Southeast University, Nanjing, China.ORCID https://orcid.org/0009-0001-1294-6763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore differences in physical fitness levels among different grade groups and identify the association between body mass index (BMI) and physical fitness index (PFI).

methodsThis study collected data from 1307857 participants (600999 females & 706858 males) who were undergraduate students aged from 18 to 24 years old. PFI was calculated using the z-scores of 5 sex-specific physical fitness items, namely sit-and-reach, broad jump, pull-up/sit-up, 50-meter dash, and 800/1000-meter run. BMI was classified into 4 categories based on the Asian standards recommended by the WHO: (1) BMI < 18.5 kg/m2; (2) 18.5 kg/m2 ≤ BMI < 23 kg/m2; (3) 23 kg/m2 ≤ BMI < 25 kg/m2; (4) BMI ≥ 25 kg/m2. ANOVA was used to detect variations in PFI among BMI categories and differences in physical fitness levels within grade groups. Finally, quadratic models were constructed to explore the association between BMI and PFI.

results(1) An inverted "J" shape association was identified between BMI and PFI. (2) Both boys and girls in higher grades had higher PFI than those in lower grades.

conclusionsThe association between BMI and PFI is non-linear. Physical development and physical activity engagement may assist in improving the physical fitness level of college students. Therefore, colleges should foster a more physical activity-friendly environment to reduce overweight and obesity rates, thereby enhancing fitness levels.

Indexed as

Body Mass IndexPhysical FitnessStudentsAdolescentCross-Sectional StudiesExerciseFemaleHumansMaleUniversitiesYoung Adult

Identifiers

PMID41166434
PMCPMC12574861

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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.