ArticleScientific reports2025
Physical fitness status and associated determinants among Chinese children aged 9-12 years in Shandong province: a population-based cross-sectional study.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Physical fitness and bone health among medical students in Southwest China: implications for health promotion in ethnically diverse populations.Journal of health, population, and nutrition · 2026Article
- Dietary behaviors and physical fitness among Chinese adolescents aged 13-16 years: a comparative study on breakfast, eggs, dairy, and sugar-sweetened beverages by urban-rural location and sex.Frontiers in nutrition · 2026Article
- A study on the impact of childhood obesity on health-related physical fitness through motor coordination-related functional pathways.Frontiers in nutrition · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Children's physical fitness is a critical determinant of lifelong health, yet comprehensive investigations into its multi-level influencing factors remain limited, particularly in developing regions. Guided by the Ecological Model of Health Behavior, this cross-sectional study assessed the physical fitness status and associated determinants among 29,856 children aged 9-12 years in Shandong Province, China. Data were obtained from two primary sources: (1) standardized physical fitness assessments based on the National Physical Fitness Standards for Students of China (Revised 2014), and (2) validated questionnaires capturing individual behaviors, family environments, and lifestyle factors across multiple ecological levels. The physical fitness test qualification rate was adopted as the primary outcome indicator. Multivariable logistic regression analyses revealed that parental support for physical activity (OR = 0.297, 95% CI: 0.266-0.332), moderate-intensity exercise (OR = 0.872, 95% CI: 0.763-0.997), daily breakfast consumption (OR = 0.765, 95% CI: 0.626-0.936), and adequate sleep (6-8 h/day, OR = 0.569, 95% CI: 0.499-0.649) were significant protective factors for physical fitness test qualification. In contrast, daily exposure to secondhand smoke (OR = 1.212, 95% CI: 1.078-1.362), prolonged screen time (> 3 h/day, OR = 1.712, 95% CI: 1.496-1.958), and excessive academic burden (> 3 h/day, OR = 1.294, 95% CI: 1.158-1.447) were associated with increased risks of non-compliance. These findings underscore the multi-layered influences of personal behaviors, family dynamics, and environmental contexts on children's physical fitness, consistent with the socio-ecological framework. This study provides robust empirical evidence for the development of comprehensive, multi-sectoral interventions targeting child health promotion in school-aged populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.