Layered Social Risks Linked to Unhealthy Behaviors in Chinese Teens

Adolescents in China who perceive higher levels of risk across their social environments—from family and school to community, policy, and cultural influences—are markedly more likely to engage in unhealthy behaviors, according to a cross-sectional study conducted in Zhengzhou City. The research, published in Frontiers in Public Health, surveyed 3,377 adolescents and found that those in the highest socio-ecological risk group had roughly four times the odds of reporting an irregular diet and smoking, and more than three and a half times the odds of drinking, compared with peers in the lowest risk group.

The study was grounded in ecological systems theory, a framework that treats adolescent development as shaped by nested layers of influence: the individual, the family, the school, the community, broader policy and cultural contexts, and changes over time, referred to as the chronosystem. To capture these layers, the researchers used a validated 50-item questionnaire measuring perceived socio-ecological risk. Health-risk behaviors assessed included diet, physical activity, sleep duration, screen time on both weekdays and weekends, and drinking and smoking, with participants classified into healthy and unhealthy groups for each behavior.

Statistically, the team used independent t-tests, analysis of variance, and chi-square tests for descriptive group comparisons, and binary logistic regression to estimate associations between multi-level perceived risk and each behavior. The models adjusted for a range of demographic covariates, including gender, only-child status, residential area, learning period, parental education, family economic status, number of friends, and study burden.

After these adjustments, adolescents in the high-risk group showed significantly higher odds of every behavior examined. Irregular diet carried an odds ratio of 4.021 (95% confidence interval 3.145–5.141), lack of physical exercise an odds ratio of 1.779 (1.400–2.262), and smoking an odds ratio of 3.964 (2.894–5.428), with drinking at 3.662 (2.321–5.778). Sleep and screen-time effects were measured separately for weekdays and weekends: short sleep was associated with an odds ratio of 1.475 on weekdays (1.059–2.056) and 1.287 on weekends (1.048–1.580), while long screen time showed odds ratios of 1.399 on weekdays (1.090–1.797) and 2.086 on weekends (1.678–2.592). Across the board, the higher the perceived socio-ecological risk, the greater the likelihood of health-risk behaviors.

The authors conclude that the findings support the importance of investigating adolescent health-risk behaviors and indicate that these behaviors are associated with socio-ecological risk. Because the design is cross-sectional, the results capture associations at a single point in time and cannot establish that socio-ecological risk causes the behaviors; adolescents’ perceptions of their environments and their behaviors may influence each other, and unmeasured factors could contribute to the observed patterns. The sample was drawn from a single Chinese city, so generalization to other settings requires caution. The authors state that the results provide a theoretical basis for reducing the occurrence of adolescent risk behaviors and improving adolescent behavioral problems.

Subject of Research: Associations between multi-level socio-ecological risk factors and health-risk behaviors among Chinese adolescents

Article Title: Socio-ecological risk factors associated with different health-risk behaviors among Chinese adolescents: a cross-sectional study

Article References: Wang, X., Chao, W., Jiang, X., Lou, X., & Ma, R. (2026). Socio-Ecological Risk Factors Associated with Different Health-Risk Behaviors among Chinese Adolescents: A Cross-Sectional Study. Frontiers in Public Health, 14, 1735957. https://doi.org/10.3389/fpubh.2026.1735957

Image Credits: AI Generated

DOI: 10.3389/fpubh.2026.1735957

Keywords: adolescents, health-risk behaviors, socio-ecological risk, cross-sectional study, ecological systems theory, smoking, drinking, sleep duration, screen time, physical activity, diet, public health