基于结构方程模型的医学生手机成瘾与睡眠质量、抑郁的关系

Relationship between mobile phone addiction and sleep quality among medical students based on structural equation modeling research on the relationship between depression

目的 基于结构方程模型探讨医学生手机成瘾与睡眠质量、抑郁关系,并检验睡眠质量在手机成瘾和抑郁之间的中介作用。方法 于2021年9月至10月采用整群随机抽样从新疆维吾尔自治区某医学院校抽取2088名大学生,采用手机成瘾指数量表(MPAI)、匹兹堡睡眠质量指数量表(PSQI)和抑郁自评量表流调用抑郁自评量表进行问卷调查。结果 医学生手机成瘾检出率为30.75%(642/2088),手机成瘾者中59.50%(382/642)存在睡眠质量问题,60.44%(388/642)出现的抑郁状态。手机成瘾组和非手机成瘾组在睡眠质量、入睡时间、睡眠障碍、催眠药物、日间功能障碍、PSQI和抑郁方面得分差异均具有统计学意义(P均<0.05)。结构方程模型显示,各项拟合度指标均达标,手机成瘾对抑郁有直接正向作用(β=0.34,P<0.05),手机成瘾可通过睡眠质量间接的影响抑郁(χ^(2)/df=2.477、RMSEA=0.027、GFI=0.997、AGFI=0.992、NFI=0.996)。结论 手机成瘾能直接影响抑郁,也能通过睡眠质量对抑郁产生显著的间接影响。

Objective To explore the relationship among mobile phone addiction,sleep quality and depression in medical students using structural equation modeling,and examine the mediating role of sleep quality between mobile phone addiction and depression.Methods A total of 2088 college students were selected using cluster random sampling from a medical college in Xinjiang Uygur Autonomous Region from September to October 2021,and a questionnaire survey was conducted using the Mobile Phone Addiction Index(MPAI),Pittsburgh Sleep Quality Index(PSQI),and Self Rating Depression Scale.Results The detection rate of mobile phone addiction among medical students was 30.75%,of which 59.50%(382/642) had sleep quality problems and 60.44%(388/642) had obvious depression.The scores of sleep quality,falling asleep time,sleep disorder,hypnotics,daytime dysfunction,PSQI and depression between the mobile phone addiction group and the non mobile phone addiction group were statistically significant(P<0.05).The structural equation model shows that all fitting indicators meet the standards,and mobile phone addiction has a direct positive effect on depression(β=0.34,P<0.05),mobile phone addiction can indirectly affect depression through sleep quality(χ^(2)/df=2.477,RMSEA=0.027,GFI=0.997,AGFI=0.992,NFI=0.996).Conclusions Mobile phone addiction can directly affect depression and indirectly affect depression through sleep quality.