文集/《抑郁障碍青少年抑郁水平与网络使用程度的相关性:睡眠障碍的中介作用》

·406· 济宁医学院学报2023年12月第46卷第6期 Jining Med Univ,December 2023,Vol.46,No.6

DOI:10.3969/j.issn.1000-9760.2023.06.006

抑郁障碍青少年抑郁水平与网络使用程度的相关性:睡眠障碍的中介作用

徐飞宇¹ 栾文杰² 靳成梁¹ 左甜甜³ 王汝晨⁴ 杨楹⁵⁶*

(¹济宁医学院精神卫生学院,济宁 272013;²莱州市慢性病防治院精神科,莱州 261400; ³山东大学齐鲁医学院,济南 250012;⁴山东省精神卫生中心,济南 250014)

摘要 目的 通过调查抑郁障碍青少年人群,分析抑郁水平各维度与网络使用程度的相关性,并检验睡眠障碍的中介作用。方法 在山东省精神卫生中心住院部及门诊选取符合ICD-10抑郁障碍诊断标准的青少年,对其通过IAT、CDI、PSQI等量表进行调查,共收集397份问卷,进行一般人口学信息统计、单因素相关分析、Pearson相关分析、多元线性回归以及中介效应检验。结果 年龄是青少年网络使用程度和抑郁程度的共同影响因素,抑郁水平与网络使用程度和睡眠问题均呈正相关(r=0.48,r=0.68,P<0.001),睡眠问题与网络使用程度呈正相关(r=0.35,P<0.001)。通过构建多元线性模型,发现负性情绪(β=0.14,P=0.030)、低效能(β=0.21,P<0.001)、人际问题(β=0.13,P=0.018)、睡眠障碍(β=0.16,P=0.002)和网络使用程度呈正相关;通过构建中介效应模型,发现睡眠障碍在负性情绪、低效能、人际问题与网络使用程度之间均起部分中介作用,中介效应值分别为0.52、0.88和1.20,相对中介占比分别为25.07%、24.62%和29.78%。结论 在抑郁障碍青少年人群中,负性情绪、低效能和人际问题通过睡眠障碍的中介作用影响抑郁障碍青少年患者的网络使用程度。

关键词 青少年;抑郁障碍;病理性网络使用;睡眠障碍

中图分类号:R749 文献标识码:A 文章编号:1000-9760(2023)12-406-06

 

Association between the degree of depression and internet use in depressed adolescents: the mediating role of sleep disorders

XU Feiyu¹, LUAN Wenjie², JIN Chengliang¹, ZUO Tiantian³, WANG Ruchen⁴, YANG Ying⁵⁶*

(¹School of Mental Health, Jining Medical University, Jining 272013, China; ²Department of Psychiatry, Laizhou Chronic Disease Prevention and Control Hospital, Laizhou 261400, China; ³Qilu Medical College, Shandong University, Jinan 250012, China; ⁴Shandong Mental Health Center, Jinan 250014, China)

Abstract:Objective To investigate the correlation between depression and internet use among adolescents with depression, and to examine the mediating effect of sleep disorders. Methods Adolescents who met the ICD-10 diagnostic criteria for depression were selected from the inpatient and outpatient departments of the Shandong Mental Health Center. The IAT, CDI, PSQI, and other scales were used to survey them, and a total of 397 questionnaires were collected. Statistical analysis, including demographic information, single-factor correlation analysis, Pearson correlation analysis, multiple linear regression, and mediation effect testing were carried out. Results Single-factor correlation analysis found that age was a common influencing factor for internet use and depression among adolescents. Pearson correlation analysis found a significant positive correlation between depression level and internet use and sleep problems (r=0.48, r=0.68, P<0.001). There was also a significant positive correlation between sleep problems and internet use (r=0.35, P<0.001). Multiple linear regression analysis found that negative emotions (β=0.14, P=0.030), low efficacy (β=0.21, P<0.001), interpersonal problems (β=0.13, P=0.018), sleep disorders (β=0.16, P=0.002), and internet use were

[基金项目]山东省医药卫生科技发展计划项目(202003091014) [通信作者]杨楹,Email:doctoryy2022@163.com