Hu Jie, Yang Rong, Li Danlin, Zhao Shuai, Wan Yuhui, Tao Fangbiao, Fang Jun, Zhang Shichen
Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032 Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle / Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Hefei, 230032 Anhui, China.
Department of Toxicology, School of Public Health, Anhui Medical University, No 81 Meishan Road, Hefei, 230032 Anhui, China; MOE Key Laboratory of Population Health Across Life Cycle / Anhui Provincial Key Laboratory of Population Health and Aristogenics, No 81 Meishan Road, Hefei, 230032 Anhui, China.
Asian J Psychiatr. 2021 Jan;55:102518. doi: 10.1016/j.ajp.2020.102518. Epub 2020 Dec 13.
Multiple health risk behaviors (HRBs) tend to co-occur which increase risks of mental disorder. In this study, we identified the association between latent class of HRBs and psychological symptoms in Chinese adolescents. We assessed 22 628 Chinese adolescents from November 2015 to January 2016. The average age of the students were (15.36 ± 1.79), among which there were 10 990 male students and 11 638 female students. A latent class analysis was applied to identity HRBs patterns. The multivariable logistic regression models were utilized to examine the association between HRBs patterns and psychological symptoms. Four latent classes were identified, characterized as low-risk class, moderate-risk class 1 (smoking/ alcohol use (AU)/screen time (ST)), moderate-risk class 2 (unhealthy losing weight (ULW)/ problematic mobile phone use (PMPU)), and high-risk class (ULW/smoking/AU/ST/ PMPU), which were 71.2 %, 3.2 %, 22.3 %, and 3.3 % of involved participants, respectively. Compared to the low-risk class, moderate-risk class 1, moderate-risk class 2, and high-risk class showed that adjusted OR (95 %CI) value of 1.97 (1.68-2.32), 3.98 (3.72-4.26) and 6.38 (CI: 5.47-7.44) were significantly associated with psychological symptoms (P < 0.001 for each). Our findings indicated that identifying different latent class of HRBs would be helpful for the design of tailored interventions, and prevention of different patterns of HRBs should be considered in the implementation of effective intervention programs related to psychological symptoms.
多种健康风险行为往往会同时出现，这会增加患精神障碍的风险。在本研究中，我们确定了中国青少年中健康风险行为的潜在类别与心理症状之间的关联。我们在2015年11月至2016年1月期间对22628名中国青少年进行了评估。学生的平均年龄为（15.36±1.79）岁，其中男生10990名，女生11638名。应用潜在类别分析来确定健康风险行为模式。使用多变量逻辑回归模型来检验健康风险行为模式与心理症状之间的关联。确定了四个潜在类别，分别为低风险类别、中度风险类别1（吸烟/饮酒/屏幕使用时间）、中度风险类别2（不健康减肥/问题手机使用）和高风险类别（不健康减肥/吸烟/饮酒/屏幕使用时间/问题手机使用），分别占参与研究参与者的71.2%、3.2%、22.3%和3.3%。与低风险类别相比，中度风险类别1、中度风险类别2和高风险类别显示，调整后的比值比（95%置信区间）值分别为1.97（1.68 - 2.32）、3.98（3.72 - 4.26）和6.38（置信区间：5.47 - 7.44），与心理症状显著相关（每项P < 0.001）。我们的研究结果表明，识别不同的健康风险行为潜在类别将有助于设计针对性的干预措施，并且在实施与心理症状相关的有效干预计划时应考虑预防不同模式的健康风险行为。
