Evidence map›Paper›PMID 41331591›Full record

ArticleBMC public health2025

Development and initial validation of the adolescent exercise habits scale among Chinese population.

Jin Wu, Huasen Yu, Liqing Li, Yuhang Yang, Zeyang Zhang, Xiaopan Hu, Zufeiya Tuerdi

Abstract readValidation Study
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
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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

7 authors.

Jin WuDepartment of Physical Education, Zhejiang Wanli University, 8 Qianhu South Road, Ningbo, 315100, China.
Huasen YuSchool of Physical Education, Qinghai Normal University, 38 Haihu Avenue, Xining, 810008, China.
Liqing LiSchool of Physical Education, Xizang Minzu University, 6 Wenhui East Road, Xianyang, 712082, China.
Yuhang YangDepartment of Physical Education, College of Education, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
Zeyang ZhangCollege of Physical Education and Health, East China Normal University, 500 Jianchuan Road, Shanghai, 200241, China.
Xiaopan HuFaculty of Sports Science, Ningbo University, 818 Fenghua Road, Ningbo, 315211, China.
Zufeiya TuerdiInstitute of Physical Education, Xinjiang Normal University, 102 Xinyi Road, Urumqi, Shayibake District, 830054, China. 404460296@qq.com.

Funding

National Social Science Foundation of China 25CTY030
6 · The paper itself

Abstract

backgroundEstablishing regular exercise habits during adolescence is essential for fostering lifelong physical activity participation. Despite its importance, reliable and culturally appropriate tools to assess exercise habits among Chinese adolescents remain limited. This study aimed to develop and validate the adolescent exercise habit scale (AEHS), a psychometrically sound instrument for assessing self-reported exercise habits in this population.

methodsGrounded in a multidimensional conceptual framework, the initial 33-item pool was generated based on literature review and expert consultation. A total of 1346 students aged 12 to 18 completed the preliminary version of the scale. The sample was randomly divided for item analysis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). Reliability was assessed using Cronbach’s α, while validity was examined through construct validity, convergent validity, and preliminary criterion-related evidence. In addition, we employed a percentile-based method to classify adolescents' exercise habit levels according to their scale scores.

resultsThe final AEHS consisted of 12 items loading on three dimensions: exercise consistency, self-motivation, and integration of exercise into daily life. The AEHS showed acceptable internal consistency, content validity, convergent validity and criterion-related validity (Cronbach’s α ranged from 0.705 to 0.855, CVI values ranged from 0.79 to 0.87, AVE values ranged from 0.378 to 0.603, and correlation coefficients ranged from 0.564 to 0.659). The AEHS also enables the classification of adolescents' exercise habits into low, moderate, and high levels based on their total scores.

conclusionsOverall, the AEHS appears to be a valid and reliable tool for evaluating adolescent exercise habits in Chinese contexts and may contribute to more targeted interventions in physical activity promotion.

Indexed as

Adolescent BehaviorExerciseHabitsAdolescentChildChinaFemaleHumansMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesAdolescentsConsistencyDaily-life integrationExercise habitsScale developmentSelf-motivation

Identifiers

PMID41331591
PMCPMC12777359

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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.