深圳市居民失眠与抑郁、焦虑的关系研究  

Relations of insomnia with depression and anxiety in Shenzhen population

作　　者：刘惟蜻 王承敏 冀二妮[1] 曾环思[1] 杨星 李秀娟 杨策策 LIU Wei-qing;WANG Cheng-min;JI Er-ni;ZENG Huan-si;YANG Xing;LI Xiu-juan;YANG Ce-ce(Shenzhen Mental Health Center/Shenzhen Kangning Hospital,Shenzhen 518020,China)

机构地区：[1]深圳市精神卫生中心/深圳市康宁医院,518020 [2]深圳市龙岗区慢性病防治院

出　　处：《临床精神医学杂志》2023年第6期457-461,共5页Journal of Clinical Psychiatry

基　　金：广东省医学科研基金项目(B2021035);广东省高水平临床重点专科(深圳市配套建设经费)资助项目(SZGSP013);深圳市医学重点学科建设经费资助项目(SZXK043);深圳市龙岗区科技发展专项资金医疗卫生科技计划项目(LGWJ2021-123)。

摘　　要：目的:探讨深圳普通居民失眠与抑郁、焦虑的关系。方法:采用多阶段整群随机抽样方法于2020年6月至8月对深圳市龙岗区两个街道共10 434名≥18岁常住居民进行调查,采用失眠严重程度指数量表(ISI)、健康问卷抑郁量表(PHQ-9)、广泛性焦虑量表(GAD-7)分别评估其睡眠、抑郁及焦虑情况并分析。结果:ISI总分及各维度得分与PHQ-9、GAD-7得分均呈显著正相关(P均<0.001);不同ISI水平之间PHQ-9及GAD-7得分差异具有统计学意义(H=2266.08,P<0.001;H=2082.56,P<0.001),ISI得分较高的人群PHQ-9与GAD-7得分也越高,而有抑郁、焦虑的普通人群ISI总分分别高于无抑郁、无焦虑者(Z=-60.03,P<0.001;Z=-56.96,P<0.001);ISI中入睡困难、睡眠维持困难、早醒、睡眠满意度、日间功能障碍、继发情绪问题可以显著预测普通人群的抑郁症状(P均<0.05),而入睡困难、睡眠维持困难、早醒、日间功能障碍、继发情绪问题可以显著预测普通人群的焦虑症状(P均<0.001)。结论:深圳市普通人群失眠与抑郁、焦虑密切相关,失眠可以预测抑郁、焦虑症状的发生,应加强早期失眠干预。Objective:To explore the relations of insomnia with depression and anxiety in Shenzhen general population.Method:A multi-stage cluster random sampling method was used to investigate and analyze 10434 permanent residents aged≥18 years from two streets in Longgang District,Shenzhen from June to August 2020.The Insomnia Severity Index(ISI),Patient Health Questionnaire(PHQ-9)and Generalized Anxiety Disorder(GAD-7)were adopted to evaluate sleep status,depression and anxiety,respectively.Results:All components and total score of ISI were significantly associated with PHQ-9 and GAD-7 scores(all P<0.001).There were significant differences in PHQ-9 and GAD-7 scores between different ISI levels(H=2266.08,P<0.001;H=2082.56,P<0.001),and with higher ISI scores,the PHQ-9 and GAD-7 scores were higher.The general population with depression and anxiety had higher ISI scores than those without depression and anxiety(Z=-60.03,P<0.001;Z=-56.96,P<0.001).Difficulty in initiating and maintaining sleep,early awakening,sleep satisfaction,daytime dysfunction and secondary emotional problems of ISI could significantly predicted depressive symptoms in the general population(all P<0.05),and difficulty in initiating and maintaining sleep,early awakening,daytime dysfunction and secondary emotional problems could significantly predict anxiety symptoms(all P<0.001).Conclusion:Insomnia is closely related to depression and anxiety among the general population in Shenzhen,and insomnia could predict future depression and anxiety.Early intervention for insomnia should be strengthened.

关 键 词：失眠 抑郁 焦虑 普通居民 

分 类 号：R749.4[医药卫生—神经病学与精神病学]