Latent profile analysis of health risk behaviors among students aged 11 to 18 years in Minhang District,Shanghai
10.3969/j.issn.1672-8467.2025.01.004
- VernacularTitle:上海市闵行区11～18岁学生健康危险行为的潜在剖面分析
- Author:
Qin-wen YANG
1
;
Hui-jing SHI
;
Yan HAN
;
Qi GUO
Author Information
1. 上海市闵行区疾病预防控制中心健康教育科 上海 201101
- Publication Type:Journal Article
- Keywords:
students;
health risk behaviors;
latent profile analysis(LPA);
influencing factor;
Minhang District,Shanghai
- From:
Fudan University Journal of Medical Sciences
2025;52(1):31-37
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the potential categories of health risk behaviors among students aged 11 to 18 years in Minhang District,Shanghai in order to identify the influencing factors of health risk behaviors among different categories of students.Methods Using stratified cluster sampling techniques,a random selection of 1 690 middle school students from Minhang District,Shanghai,were chosen as the study sample.Data was collected using the"Shanghai Adolescent Health-Related Behavior Survey Questionnaire"to assess participants'scores on six categories of health risk behaviors.Latent profile analysis(LPA)was employed to cluster students'health risk behaviors,and a multifactorial Logistic regression model was used to analyze the related influencing factors.Results The health risk behaviors of students aged 11 to 18 in Minhang District,Shanghai,were categorized into 3 groups:Class 1,comprising 915 students(54.14%),with moderate to low scores in health risk behaviors,named"the group with moderately low levels of various health risk behaviors";Class 2,comprising 539 students(31.89%),with higher scores in psychological addiction,named"the group with psychological addiction as the prominent health risk behavior";Class 3,comprising 236 students(13.97%),with higher scores in substance addiction,named"the group with substance addiction as the prominent health risk behavior".The results of the univariate analysis for the three potential categories of student health risk behaviors show that there are statistically significant differences in the 3 potential categories of health risk behaviors among students of different schools,ages,ethnicities,and boarding situations(P<0.05).The analysis results of the multivariate Logistic regression indicate that compared to junior high school students,both senior high school students and vocational high school students have a higher risk of exhibiting unhealthy behaviors characterized by psychological addiction and substance addiction,with all differences being statistically significant(P<0.05).Conclusion The latent profile analysis reveals three distinct categories of health risk behaviors among students aged 11 to 18 years in Minhang District,Shanghai,with significant distribution differences among students from diverse backgrounds.Consequently,it is recommended that tailored health education and intervention measures be implemented for students with different school characteristics and at various educational stages.
