School of Public Health, Jilin University, NO. 1163 Xinmin Street, Changchun, Jilin Province, China; Department of Psychiatry, Faculty of Medicine, McGill University, 6875 Boul. LaSalle, Verdun, H4H1R3 Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Department of Psychiatry, Faculty of Medicine, McGill University, 6875 Boul. LaSalle, Verdun, H4H1R3 Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada.
Psychiatry Res. 2020 Feb;284:112795. doi: 10.1016/j.psychres.2020.112795. Epub 2020 Jan 17.
This study aimed to determine the prevalence of comorbid Internet addiction (IA) and mood symptoms and to identify common and unique risk profiles for individual and comorbid mental health problems among adolescents. A total of 2272 high school students in Changchun, China, were included in a cross-sectional study. Participants were asked to complete paper-based questionnaires on sociodemographic characteristics, lifestyle factors, Internet use, parent-child relationships, IA, and mood symptoms. Multivariate logistic regressions were used to compare the risk profiles for IA, mood symptoms, and their comorbidity. The Bonferroni correction was used for multiple tests. Students who were girls, were current smokers, had more than 1.5 h sleep deprivation per day on weekdays, used the Internet for more than 30 and 240 min per day on weekdays and weekends, respectively, used social networking sites more than 6 times per day, were Internet gamers, and/or reported poor parent-child relationships reported higher rates of comorbid IA and mood symptoms. Adolescents exposed to more of these correlates would have a higher risk of IA, mood symptoms, and their comorbidity. Public strategies for the prevention of mental illnesses should expand their capacity to identify and limit the co-occurrence of IA and mood symptoms.
本研究旨在确定青少年共患网络成瘾 (IA) 和情绪症状的流行情况，并确定个体和共患心理健康问题的常见和独特风险特征。共有 2272 名长春高中生参与了一项横断面研究。参与者被要求完成关于社会人口特征、生活方式因素、互联网使用、亲子关系、IA 和情绪症状的纸质问卷。使用多变量逻辑回归比较 IA、情绪症状及其共病的风险特征。采用 Bonferroni 校正进行多次检验。女生、当前吸烟者、工作日每天睡眠不足 1.5 小时、工作日和周末每天使用互联网分别超过 30 和 240 分钟、每天使用社交网站超过 6 次、是网络游戏玩家、以及/或者报告亲子关系较差的学生报告共患 IA 和情绪症状的比率更高。接触到更多这些相关因素的青少年患 IA、情绪症状及其共病的风险更高。预防精神疾病的公共策略应扩大其识别和限制 IA 和情绪症状共病的能力。
