【摘要】 目的 采用潜在剖面分析探讨大学生网络成瘾的不同类别与抑郁症状的关系，并分析认知情绪调节策略在两者之间的中介效应。方法 采用随机抽样法，于2023年1月在新乡市4所高校随机抽取5个年级中889名大学生为研究对象，采用一般人口学信息、网络成瘾问卷、认知情绪调节策略问卷（CERQ）、9条目患者健康问卷抑郁量表（PHQ-9）对大学生的网络成瘾、抑郁与认知情绪调节策略情况进行调查。采用Mplus 8.3对网络成瘾进行潜在剖面分析；采用Pearson相关分析大学生网络成瘾、认知情绪调节策略及抑郁的相关关系；采用SPSS 27.0的PROCESS程序检验在网络成瘾类别与抑郁之间，认知情绪调节策略起到的中介作用。结果 本研究发放问卷889份，回收802份，问卷有效回收率为90.21%。802名大学生网络成瘾问卷总分为（44.33±13.03）分；CERQ中适应性认知情绪调节策略维度评分为（66.20±11.48）分，非适应性认知情绪调节策略维度评分为（42.71±9.51）分；PHQ-9评分为（5.98±4.51）分；Pearson相关分析显示，网络成瘾、适应性认知情绪调节策略、非适应性认知情绪调节策略及抑郁症均存在相关关系（r=-0.091～0.486，均P<0.01）。以网络成瘾问卷各条目作为分析指标进行潜在剖面分析，由潜在类别为1开始逐步增加类别数，本研究共拟合了5个类别模型，模型3为最佳模型。依据条目作答特点命名各个类别，结果显示，大学生网络成瘾存在3个潜在类型，分别为正常网络使用组（36.3%）、低水平网络成瘾组（43.3%）、高水平网络成瘾组（20.3%）。以正常网络使用组作为参照组时，低水平网络成瘾组和高水平网络成瘾组均能正向预测抑郁（β=0.33,P<0.001;β=0.75,P<0.001）；在高水平网络成瘾组与抑郁间，适应性认知情绪调节策略和非适应性认知情绪调节策略均存在中介效应，中介效应值分别为0.06(95%CI:0.016～0.120);0.39(95%CI:0.291～0.491)，在低水平网络成瘾组和抑郁间，非适应性认知情绪调节策略存在中介效应，中介效应值为0.22(95%CI:0.156～0.297)。结论 大学生存在一定的网络成瘾，且在高水平网络成瘾与抑郁间，适应性认知情绪调节策略和非适应性认知情绪调节策略存在中介效应；在低水平网络成瘾与抑郁间，仅非适应性认知情绪调节策略存在中介效应。更多还原

【Abstract】 Objective To explore the relationship between different categories of internet addiction and depressive symptoms among university students using latent profile analysis and analyze the mediating effect of cognitive emotion regulation strategies between the two. Methods Random sampling was used to select 889 university students in five grades from four colleges and universities in Xinxiang City in January 2023 for the study. The General Demographic Information Questionnaire, internet Addiction Questionnaire, Cognitive Emotion Regulation Questionnaire(CERQ), and Patient Health Questionnaire-9(PHQ-9) were used to investigate internet addiction, depressive disorder, and cognitive emotion regulation strategies among university students.Mplus 8.3 was used to analyze the latent profile of internet addiction. Pearson correlation was used to analyze the correlation between internet addiction, cognitive emotion regulation strategies, and depressive disorder among university students. PROCESS procedure of SPSS 27.0 was used to test for the mediating role played in the relationship between internet addiction categories and depressive disorder and cognitive emotion regulation strategies. Results A total of 889 questionnaires were distributed and 802 were recovered, with an effective recovery rate of 90.21%. Among 802 university students, the total score of internet Addiction Questionnaire, adaptive cognitive emotion regulation strategy dimension score, non-adaptive cognitive emotion regulation strategy dimension score in CERQ, and PHQ-9 score were(44.33±13.03),(66.20±11.48),(42.71±9.51), and(5.98±4.51), respectively. Pearson correlation analysis showed that, internet addiction, adaptive cognitive emotion regulation strategies, non-adaptive cognitive emotion regulation strategies and depressive disorder see were all correlated, with statistically significant differences(r=-0.091-0.486; all P < 0.01). Latent profile analysis was conducted using each entry of the internet Addiction Questionnaire as an analytical indicator, and the number of categories was gradually increased starting from one latent category. A total of five category models were fitted, with model 3 being the best model. Naming each category based on the characteristics of the entries’ responses, the results showed that there were three latent categories of university students’ internet addiction, which were normal internet use group(36.3%), low-level internet addiction group(43.3%), and highlevel internet addiction group(20.3%). Using normal internet use group as the reference group, both low-level internet addiction group and high-level internet addiction group positively predicted depressive disorder(β=0.33, P < 0.001; β=0.75, P < 0.001). There was a mediating effect for both adaptive cognitive emotion regulation strategies and nonadaptive cognitive emotion regulation strategies between high-level internet addiction group and depressive disorder, with mediating effect values of 0.06 [95%CI(0.016,0.120)] and 0.39 [95%CI(0.291,0.491)]. There was a mediating effect of non-adaptive cognitive emotion regulation strategies between low-level internet addiction group and depressive disorder, with a mediating effect value of 0.22 [95%CI(0.156,0.297)].Conclusions There is a certain amount of internet addiction among university students. Between high-level internet addiction and depressive disorder, there are mediating effects of adaptive and nonadaptive cognitive emotion regulation strategies. Between low-level internet addiction and depressive disorder, there is a mediating effect of nonadaptive cognitive emotion regulation strategies.更多还原