Li Ji-Bin, Lau Joseph T F, Mo Phoenix K H, Su Xue-Fen, Tang Jie, Qin Zu-Guo, Gross Danielle L
1 State Key Laboratory of Oncology in South China, Department of Clinical Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center , Guangzhou, China.
2 Faculty of Medicine, Centre for Health Behaviours Research, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong , Hong Kong, China.
J Behav Addict. 2017 Dec 1;6(4):554-563. doi: 10.1556/2006.6.2017.085.
Background and aims This study aims to examine the mediating effects of insomnia on the associations between problematic Internet use, including Internet addiction (IA) and online social networking addiction (OSNA), and depression among adolescents. Methods A total of 1,015 secondary school students from Guangzhou in China participated in a cross-sectional survey. Levels of depression, insomnia, IA, and OSNA were assessed using the Center for Epidemiological Studies-Depression Scale, Pittsburgh Sleep Quality Index, Young's Diagnostic Questionnaire, and Online Social Networking Addiction Scale, respectively. Logistic regression models were fit to test the associations between IA, OSNA, insomnia, and depression. The mediation effects of insomnia were tested using Baron and Kenny's strategy. Results The prevalence of depression at moderate level or above (CES-D ≥ 21), insomnia, IA, and OSNA were 23.5%, 37.2%, 8.1%, and 25.5%, respectively. IA and OSNA were significantly associated with depression (IA: AOR = 2.79, 95% CI: 1.71, 4.55; OSNA: AOR = 3.27, 95% CI: 2.33, 4.59) and insomnia (IA: AOR = 2.83, 95% CI: 1.72, 4.65; OSNA: AOR = 2.19, 95% CI: 1.61, 2.96), after adjusting for significant background factors. Furthermore, insomnia partially mediated 60.6% of the effect of IA on depression (Sobel Z = 3.562, p < .002) and 44.8% of the effect of OSNA on depression (Sobel Z = 3.919, p < .001), respectively. Discussion The high prevalence of IA and OSNA may be associated with increased risk of developing depression among adolescents, both through direct and indirect effects (via insomnia). Findings from this study indicated that it may be effective to develop and implement interventions that jointly consider the problematic Internet use, insomnia, and depression.
背景与目的 本研究旨在探讨失眠在青少年问题性互联网使用(包括网络成瘾(IA)和在线社交网络成瘾(OSNA))与抑郁之间的关联中所起的中介作用。方法 共有1015名来自中国广州的中学生参与了一项横断面调查。分别使用流行病学研究中心抑郁量表、匹兹堡睡眠质量指数、杨氏诊断问卷和在线社交网络成瘾量表评估抑郁、失眠、IA和OSNA的水平。采用逻辑回归模型来检验IA、OSNA、失眠与抑郁之间的关联。使用Baron和Kenny的方法检验失眠的中介作用。结果 中度及以上抑郁(CES - D≥21)、失眠、IA和OSNA的患病率分别为23.5%、37.2%、8.1%和25.5%。在调整了显著的背景因素后,IA和OSNA与抑郁(IA:优势比(AOR)=2.79,95%置信区间(CI):1.71,4.55;OSNA:AOR = 3.27,95% CI:2.33,4.59)以及失眠(IA:AOR = 2.83,95% CI:1.72,4.65;OSNA:AOR = 2.19,95% CI:1.61,2.96)显著相关。此外,失眠分别部分介导了IA对抑郁影响的60.6%(Sobel Z = 3.562,p <.002)和OSNA对抑郁影响的44.8%(Sobel Z = 3.919,p <.001)。讨论 IA和OSNA的高患病率可能与青少年患抑郁症风险的增加有关,这是通过直接和间接影响(通过失眠)实现的。本研究结果表明,制定和实施综合考虑问题性互联网使用、失眠和抑郁的干预措施可能是有效的。