ArticleRisk management and healthcare policy2026
Age and Gender Differences in the Association Between Risk Aversion and Risky Health Behaviors: Evidence from a Survey Experiment.
Article in Risk management and healthcare policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Although studies have established a correlation between risk aversion and risky health behaviors, the heterogeneity of this relationship across age and gender groups remains underexplored. Methods: Data from 26,873 participants (aged 16 and above) from the 2018 wave of the China Family Panel Studies were analyzed using a five-round coin-toss experiment to measure risk aversion, with smoking and abnormal weight as risky health behaviors. Logistic regression examined the correlations. Results: Higher risk aversion was significantly associated with lower odds of smoking (OR = 0.979, p < 0.05) and abnormal body weight (OR = 0.972, p < 0.01). Age significantly moderated the association between risk aversion and smoking: the negative association was stronger among younger adults than older adults (risk aversion × age interaction OR = 1.001, p < 0.05), although the magnitude of this interaction is negligible. However, age did not significantly moderate the association between risk aversion and abnormal body weight (risk aversion × age interaction OR = 1.001, p > 0.1). Gender significantly moderated the association between risk aversion and abnormal body weight (risk aversion × male interaction OR = 1.032, p < 0.1) but did not significantly moderate the association between risk aversion and smoking. The negative association between risk aversion and abnormal body weight was more pronounced among females than males. Given the low explanatory power of the abnormal body weight model (Pseudo Conclusion: Risk aversion is negatively associated with smoking and abnormal body weight, with the association being more pronounced for smoking. Age-related moderation is negligible, and policy implications are warranted only for smoking prevention, given the limited explanatory power of the body weight model.
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