Evidence map›Paper›PMID 39256716›Full record

ArticleBMC public health2024

Impact of awareness of sports policies, school, family, and community environmental on physical activity and fitness among children and adolescents: a structural equation modeling study.

Junyu Wang, Shengyong Wu, Xuhui Chen, Bingjie Xu, Jianfeng Wang, Yong Yang, Weiqi Ruan, Pengpeng Gao, Xiaolin Li, Ting Xie and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

12 authors.

Junyu Wang *School of Exercise and Health, Yangpu District, Shanghai University of Sport, 399 Changhai Rd, Shanghai City, 200438, China.
Shengyong Wu *Department of Military Health Statistics, Naval Medical University, Shanghai, China.
Xuhui ChenSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Bingjie XuShanghai Songjiang Jiuting NO.2 Primary School, Shanghai, China.
Jianfeng WangLansheng Fudan Middle School, Shanghai, China.
Yong YangSchool of Physical Education and Sport, Chaohu University, Hefei, China.
Weiqi RuanSchool of Exercise and Health, Yangpu District, Shanghai University of Sport, 399 Changhai Rd, Shanghai City, 200438, China.
Pengpeng GaoNorth Minzu University, Yinchuan, China.
Xiaolin LiHarbin Sport University, Harbin, China.
Ting XieChengdu Xinqiao Primary School, Chengdu, China.
Kunyi YangSchool of Exercise and Health, Yangpu District, Shanghai University of Sport, 399 Changhai Rd, Shanghai City, 200438, China.
Jie ZhuangSchool of Exercise and Health, Yangpu District, Shanghai University of Sport, 399 Changhai Rd, Shanghai City, 200438, China. zhuangjiesh@163.com.ORCID 0000-0002-2442-7418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the impact of environmental factors on physical activity (PA) and physical fitness (PF) is crucial for promoting a healthy lifestyle among children and adolescents. This study examines how awareness of sports policies, school, family, and community environments influence PA and PF in Chinese youth.

methodsA cross-sectional study was conducted with 2747 children and adolescents (mean age 12.90 ± 2.49; 48.2% male) from 17 schools across five Chinese cities. Environmental factors were assessed via questionnaires, and PA levels were measured using the International Physical Activity Questionnaire-Short Form (IPAQ-SF). PF metrics, including BMI, waist-to-height ratio, grip strength, vertical jump, and 20-m shuttle run test (20-mSRT), were measured onsite. Structural Equation Modeling (SEM) was used to explore relationships between environmental factors and PA/PF outcomes.

resultsThe school environment scored highest (78.0 ± 9.5), while the community environment scored lowest (38.7 ± 18.0). Family environment positively influenced low-intensity PA (LPA) (β = 0.102, P < 0.001) but negatively affected moderate-to-vigorous PA (MVPA) (β = -0.055, P = 0.035). Community environment and awareness of sports policies positively impacted MVPA (β = 0.216, P < 0.001; β = 0.072, P = 0.009, respectively). Family environment positively influenced BMI reduction (β = -0.103, P < 0.001) but negatively affected grip strength (β = -0.063, P = 0.018). Community environment improved grip strength and 20-mSRT performance (β = 0.088, P = 0.002; β = 0.065, P = 0.027).

conclusionsSchool environments, despite high scores, do not significantly impact PA and PF. Community environments, though scoring lower, positively affect MVPA, grip strength, and 20-mSRT. Awareness of sports policies boosts MVPA, while family environments support LPA and BMI but are inversely related to MVPA and grip strength. Integrated strategies involving community infrastructure, family support, and policy awareness are essential for promoting active lifestyles among children and adolescents.

Indexed as

ExercisePhysical FitnessSchoolsSportsAdolescentChildChinaCross-Sectional StudiesFamilyFemaleHealth PolicyHumansLatent Class AnalysisMaleResidence CharacteristicsSurveys and QuestionnairesAdolescentChildrenEnvironmental factorsPhysical activityPhysical fitnessStructural equation modeling

Identifiers

PMID39256716
PMCPMC11389504

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.