Pulse Brain · Growing Health Evidence Index
Tier 2 — RCT, large cohort or strong causal designPeer-reviewed

Obesity, physical activity, and gene–environment interactions: a natural experiment framework

Lei Liu; Xuxiu Zhuang; Haonan Zhou; Yanan Ma; Gengrun Sun; Yang Liu; Deliang Wen

Journal of Health, Population and Nutrition · 2026

Read source ↗ All evidence

Summary

This 4-year natural experiment in a Chinese arts school exploited curriculum-driven variation in physical activity exposure to investigate gene–environment interactions in obesity. Weighted genetic risk scores predicted baseline obesity measures (0.21-kg/m² BMI increase per unit WGRS), and significant interactions were found: individuals with higher genetic risk experienced greater BMI and weight reduction benefits from sustained long-term physical activity. The findings suggest that genetic susceptibility modifies the protective effect of physical activity on BMI progression in adolescents.

Regional applicability

The study was conducted in China and employed Asian-derived genetic variants, which may have limited direct applicability to United Kingdom youth populations with different ancestral genetic backgrounds and lifestyle contexts. However, the mechanistic finding that physical activity can amplify BMI benefits for genetically susceptible individuals may inform UK public health messaging around activity promotion, though UK-specific validation would strengthen evidence for policy application.

Key measures

Weighted genetic risk scores (WGRS) from 13 Asian-derived obesity-related SNPs; BMI trajectories; annual anthropometric and metabolic measures; physical activity exposure (high-PA vs. low-PA groups based on curriculum-driven disparities)

Outcomes reported

The study measured how physical activity levels modify the effects of genetic risk scores on BMI trajectories over 4 years in youth. Primary outcomes were BMI changes and interactions between weighted genetic risk scores and physical activity exposure groups.

Theme
Nutrition & health
Subject
Dietary patterns & chronic disease
Study type
Research
Study design
Natural experiment
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Human clinical
DOI
10.1186/s41043-026-01312-y
Catalogue ID
NRmu4vwt7r-003

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Ask about this record, its theme or its relevance to UK farming and policy. Pulse AI uses selected catalogue evidence and cites the sources it draws on.