大学生手机依赖与焦虑抑郁共病症状的关联

  目的  描述大学生手机依赖和焦虑抑郁共病症状的流行现况及关联，为促进大学生心理健康发展提供参考依据。  方法  于2019年4—5月在安徽省合肥市和江西省上饶市2所高校中随机整群抽样1 135名在校大学生进行基线调查，2019年11月对抽样人群进行随访调查，与基线调查匹配后有效人数为1 110人。使用青少年手机使用依赖自评问卷评估大学生手机依赖情况，使用抑郁-焦虑-压力自评量表评估抑郁、焦虑、焦虑抑郁共病症状，使用自编大学生健康相关行为及心理健康问卷报告睡眠时长。  结果  基线与随访调查中大学生手机依赖检出率分别为24.5%和27.7%，基线调查中焦虑症状、抑郁症状、焦虑抑郁共病症状的检出率分别为28.7%，21.3%和18.4%。二元Logistic回归模型结果显示，手机依赖与大学生基线(OR=5.79，95%CI=4.06~8.24)和随访调查(OR=2.62，95%CI=1.86~3.69)焦虑抑郁共病症状风险均呈正关联(P值均＜0.01)。调节效应分析结果显示，睡眠时长在手机依赖与焦虑抑郁共病症状关联间起调节作用，交互项具有统计学意义(β_基线=0.08，β_随访=0.04，P值均＜0.01)。  结论  大学生手机依赖可增加抑郁焦虑共病症状的发生风险，睡眠时长可缓解手机依赖对大学生抑郁焦虑共病症状的预测作用。

Association between cell phone dependence and anxiety-depression co-morbid symptoms among college students

  Objective  To describe the prevalence of cell phone dependence and anxiety-depression co-morbidity among college students, and to explore the association between cell phone dependence and anxiety-depression co-morbidity among college students, in order to provide a reference basis for promoting the development of college students' mental health.  Methods  Using a prospective study design, baseline survey was conducted in April-May 2019 among a random whole-group sample of 1 135 individuals in two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province, and a follow-up survey was conducted in November 2019 among the sampled population, with a valid number of 1 110 individuals after matching with the baseline survey. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) was used to assess college students' cell phone dependence, and the Depression-Anxiety-Stress Self-Rating Scale (DASS-21) to assess depression, anxiety, and anxiety-depression co-morbidity symptoms, and the self-administered Health-Related Behavior and Mental Health Questionnaire for College Students to report sleep duration.  Results  The detection rates of cell phone dependence among college students at baseline and follow-up surveys were 24.5% and 27.7%, respectively, and the detection rates of anxiety symptoms, depressive symptoms, and anxiety-depression co-morbidities were 28.7%, 21.3%, and 18.4%, respectively. The results of the binary Logistic regression model showed that cell phone dependence was positively associated with the risk of anxiety-depression co-morbid symptoms among college students at baseline (OR=5.79, 95%CI=4.06-8.24) and after six months of follow-up (OR=2.62, 95%CI=1.86-3.69) (P < 0.01). The results of the moderating effect analysis showed that sleep duration moderated the association between cell phone dependence and anxiety-depression co-morbidities, and the interaction term was statistically significant (β=0.08, 0.04, P < 0.01).  Conclusion  Cell phone dependence in college students increases the risk of depressive and anxiety co-morbid symptoms, and sleep mitigates effect of cell phone dependence on depressive and anxiety co-morbid symptoms in college students.