PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 15, 2026Frontiers in Public Health2 citationsOpen Access

Adolescent sports participation and social-class health inequalities: evidence from CHNS

JYJie YuQufu Normal UniversityYLYao LuQufu Normal UniversityLZLunan ZhaoQufu Normal University

Key Result

Adolescent sports participation failed to mitigate entrenched class-based health inequalities across the life course, as evidenced by a significant three-way interaction between social class, sports participation, and age (β -0.0409, p<0.05).

Study Design

Type

Cohort (n=39,672)

Structured PICO

Does physical activity participation mitigate class-based health disparities across the life course?

P
Population
39,672 individuals from the China Health and Nutrition Survey (CHNS) across five waves (1997, 2000, 2004, 2006, and 2015), comprising 180,696 person-year observations.
I
Intervention
Physical activity participation
C
Comparator
Different social classes and varying levels of physical activity
O
Outcome
Trajectories of self-rated healthpatient reported

Universal sports-promotion strategies are insufficient to reduce entrenched health inequalities, as the health benefits of physical activity vary significantly by social class.

Main Result

Effect estimate: β -0.0409

p-value: p=<0.05

Limitations

  • Available CHNS items do not provide sufficiently consistent information across waves to distinguish activity type, intensity, or context in a comparable way.
  • Income and education were not included in the final models as independent confounders.
  • Self-rated health is a subjective measure.

Abstract

Purpose Health inequalities rooted in social stratification remain a persistent structural public-health challenge. While physical activity is recognized as a health-enhancing behavior, limited longitudinal evidence exists on how its effects vary across social classes. This study examines the life-course interactions among social class, physical-activity participation, and aging, and evaluates whether youth physical activity mitigates class-based health disparities. Methods Data were drawn from five waves (1997, 2000, 2004, 2006, and 2015) of the China Health and Nutrition Survey (CHNS), comprising 39,672 individuals and 180,696 person-year observations. Growth-curve models were used to estimate trajectories of self-rated health and assess the interactive effects of social class, physical activity, and age, controlling for demographic characteristics. Results Health inequalities exhibited structural rigidity: health gradients between social strata widened from 1997 to 2015, and early-life disparities persisted throughout aging, forming “parallel trajectories.” Physical activity effects differed significantly by class. Lower-stratum individuals benefited little due to structural constraints; middle-stratum participants showed a “health-behavior paradox,” where participation correlated with steeper health decline; upper-stratum groups demonstrated negligible marginal gains due to resource saturation. Conclusion Universal sports-promotion strategies are insufficient to reduce entrenched health inequalities. Structural reforms addressing socioeconomic constraints, combined with class-sensitive behavioral interventions, are essential to disrupt the reproduction of health disparities and promote equitable healthy aging across the life course.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yu et al. (2026) conducted a cohort in Health inequalities (n=39,672). Adolescent sports participation vs. Non-participation was evaluated on Self-rated health trajectory (social class × sports participation × age interaction) (β -0.0409, p=<0.05). Adolescent sports participation failed to mitigate entrenched class-based health inequalities across the life course, as evidenced by a significant three-way interaction between social class, sports participation, and age (β -0.0409, p<0.05).

synapsesocial.com/papers/6a1d652633e2df9c962f7263https://doi.org/10.3389/fpubh.2026.1791550
Ask AI
Helpful
Bookmark
Share
View Full Paper