Evidence map›Paper›PMID 40474138›Full record

ArticleBMC public health2025

Physical fitness status and influencing factors among college students aged 19 ~ 22 in Shandong province, China: a cross-sectional study.

Zhihao Huang, Wance Wang, Kai Huo, Yongming Wang, Kunzong Tian

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

5 authors.

Zhihao HuangSchool of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, China.
Wance WangSchool of Physical Education and Health, East China Jiaotong University, Nanchang, China.
Kai HuoDepartment of Student Affairs, Shandong Institute of Petroleum and Chemical Technology, Dongying, China.
Yongming WangSchool of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, China. skxy617@sina.com.
Kunzong TianSchool of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, China.

Funding

Teaching Reform Research Project of Shandong Institute of Petroleum and Chemical Technology JGZD202420
6 · The paper itself

Abstract

backgroundCollege students physical fitness is not just an indicator of current health but also a predictor of future well-being. The rapid socioeconomic changes and significant lifestyle shifts occurring in China, akin to global trends, underscore the need for a comprehensive understanding of college students physical fitness.

methodsOur research focused on delineating the state of physical fitness among college students in Shandong Province and identifying the factors influencing it. Univariate chi-squared test was initially performed on all independent variables. Subsequently, statistically significant variables were included in multivariate logistic regression analysis to identify the determinants of physical fitness among college students. These findings were intended to inform targeted health interventions for this critical age group.

resultsFrom September to November 2024, a large-scale survey was conducted on 176,373 college students aged 19 to 22 years in Shandong Province, using a stratified random cluster sampling method. The overall physical fitness qualified rate was 92.03%, with female students slightly outperforming males. Urban students had a higher qualified rate than rural students. After adjusting for gender and household registration, multivariable logistic regression analysis identified key factors influencing physical fitness. Parental engagement in physical exercise and support for students' participation were associated with lower odds of failing fitness tests. Frequent exercise, long exercise duration, and moderate to high intensity activity were linked to better fitness outcome. Sufficient sleep and regular breakfast consumption also decreased the likelihood of failing the physical fitness tests. In contrast, excessive screen time, smoking, frequent alcohol consumption, and high fast food intake were associated with increased odds of failing physical fitness tests.

conclusionThese findings highlighted the significant role of lifestyle factors, including parental influence, exercise frequency, duration and intensity, sleep duration, screen time, smoking, alcohol consumption, breakfast consumption habit, and fast food intake, in determining college students' physical fitness test outcomes.

Indexed as

Physical FitnessStudentsChinaCross-Sectional StudiesExerciseFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung AdultChinaCollege studentsInfluencing factorsPhysical fitness

Identifiers

PMID40474138
PMCPMC12139287

What Socratic 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 Socratic graph.