Li Qiyu, Chang Le, Li Liuyuan, Huang Luyao, Sun Beibei, Fan Wenhui, Zhang Shuhua
School of Medical Humanities, China Medical University, Shenyang, China.
School of Educational Sciences, Shenyang Normal University, Shenyang, China.
Front Public Health. 2025 Jul 8;13:1599214. doi: 10.3389/fpubh.2025.1599214. eCollection 2025.
To explore the latent categories of adolescents' lifestyles and analyze the relationship between these lifestyle categories and anxiety.
A cross-sectional survey.
The questionnaire was designed to assess demographic characteristics, lifestyle behaviors, and anxiety. Sleep quality was measured by The Pittsburgh Sleep Quality Index (PSQI), anxiety symptoms were assessed by the Generalized Anxiety Disorder 7 (GAD-7), and lifestyle behaviors were operationalized as dietary behavior, physical activity, and sedentary time. Data collection was conducted from January to March 2024, it was employed to select adolescents from 12 cities in Liaoning Province. The lifestyles were classified using Latent Class Analysis (LCA), and an unordered multinomial logistic regression was performed to analyze the impact of different types of adolescent lifestyles on anxiety.
A total of 11,449 students were analyzed, and the prevalence of anxiety symptoms among adolescents is 32.62%. The participants were classified into three categories, High Sleep Diet - Low Activity (54.79%), Low Sleep Diet - Low Activity (9.01%), and High Sleep Diet - High Activity (36.20%). The results of unordered multinomial logistic regression showed that Age, gender, school location and lifestyle categories are significant factors influencing adolescent anxiety.
Adolescents exhibit high levels of anxiety. Adolescents' lifestyles can be categorized into three distinct groups. Lifestyle plays an important role in influencing anxiety. Schools, families, and society collaborate to implement effective intervention strategies, promoting healthier lifestyles to prevent and alleviate anxiety.
探讨青少年生活方式的潜在类别,并分析这些生活方式类别与焦虑之间的关系。
横断面调查。
问卷旨在评估人口统计学特征、生活方式行为和焦虑情况。睡眠质量通过匹兹堡睡眠质量指数(PSQI)进行测量,焦虑症状通过广泛性焦虑障碍7项量表(GAD-7)进行评估,生活方式行为具体化为饮食行为、体育活动和久坐时间。数据收集于2024年1月至3月进行,从辽宁省12个城市选取青少年。使用潜在类别分析(LCA)对生活方式进行分类,并进行无序多项逻辑回归分析不同类型青少年生活方式对焦虑的影响。
共分析了11449名学生,青少年焦虑症状的患病率为32.62%。参与者被分为三类,即高睡眠饮食 - 低活动(54.79%)、低睡眠饮食 - 低活动(9.01%)和高睡眠饮食 - 高活动(36.20%)。无序多项逻辑回归结果表明,年龄、性别、学校所在地和生活方式类别是影响青少年焦虑的重要因素。
青少年焦虑水平较高。青少年的生活方式可分为三个不同的群体。生活方式在影响焦虑方面起着重要作用。学校、家庭和社会应协同实施有效的干预策略,推广更健康的生活方式以预防和缓解焦虑。