Obesity

Spatial–temporal analysis and spatial drivers of childhood obesity in China from 1985 to 2019

Obesity (Silver Spring)Published Spatial–temporal analysis of repeated cross-sectional surveys

Authors' conclusion

Childhood obesity prevalence in China increased with regional disparities from 1985 to 2019, with higher prevalence in the North and lower prevalence in the South. SDOH patterns were linked to spatial clusters, suggesting that regions characterized by advanced urbanization, abundant resources (Pattern 4), and a dietary profile heavy in carbohydrates and low in protein (Pattern 3) potentially contributed to increased obesity risk.

Study context

Population
Chinese children and adolescents, Chinese National Survey on Students' Constitution and Health, 1985–20197 cross-sectional surveys
Exposure
Social determinants of health (SDOH) patterns
Outcome
Obesity prevalence and its spatial-temporal trends
Follow-up
1985 to 2019
Methodological detailsseven cross-sectional surveys, national survey (Chinese National Survey on Students' Constitution and Health (CNSSCH)), general linear regression model, 23 obesity-related variables collected to identify SDOH patterns
  • Seven cross-sectional surveys
  • National survey (CNSSCH)
  • General linear regression model
  • 23 obesity-related variables collected to identify SDOH patterns

Main finding

As reported in the abstract

Obesity prevalence
  • Obesity prevalence rose from 0.1% to 8.1%
  • Northern regions formed a high-obesity cluster; Southern regions were low-obesity clusters

Observational data: associations, not effects.

Further findings

Obesity prevalence by SDOH pattern

Obesity prevalence by SDOH pattern

Compared with Pattern 2, Patterns 3 and 4 showed higher obesity risks

Original publication

Spatial–temporal analysis and spatial drivers of childhood obesity in China from 1985 to 2019. Obesity (Silver Spring). Published 16 May 2025. doi:10.1002/oby.24303

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.