Objective:To understand the current situation of e-cigarette use and influencing factors among ado-lescents aged 15 and above in a certain city in Guangxi in order to provide data and references for controlling the prevalence of e-cigarettes among adolescents.Methods:A questionnaire survey was conducted among adoles-cents aged 15 and above in a certain city in Guangxi through multi-stage stratified cluster random sampling.Lo-gistic regression,random forest,XGboost,support vector machine models,single hidden layer neural networks,and KNN models were applied comprehensively for the analysis of influencing factors.Results:The prevalence of e-cigarette use among adolescents aged 15 and above in a certain city in Guangxi was 1.68%,with the usage rates among high school and vocational high school students being 1.08%and 1.74%,respectively.Different ma-chine learning models demonstrated varying levels of performance across evaluation metrics.Nine primary influ-encing factors were identified for adolescent e-cigarette use:exposure to e-cigarette advertisements on the inter-net in the past 30 days,friends'smoking habits,level of academic pressure,exposure to teachers smoking,de-pression status,gender,exposure to smoking in public places,perception of smoking as enhancing attractiveness among youth,and receiving free tobacco products.Conclusion:The prevalence of e-cigarette use among adoles-cents aged 15 and above in the city is relatively low.It is possible to combine the results of six machine learning models to predict adolescent electronic cigarette usage behavior and identify the characteristics of the user popula-tion.
维普
万方数据