睡眠质量在山东省成年人群抑郁与疼痛程度之间的中介作用
The mediating role of sleep quality in the relationship between depression and pain severity among adults in Shandong Province
王涛 1李晓靖 2王倩 3王灿 2王汝展 2张敬悬 2程小菁4
作者信息
- 1. 济宁医学院精神卫生学院(济宁,272067)
- 2. 山东省精神卫生中心
- 3. 山东省职业病医院
- 4. 山东省职业卫生与职业病防治研究院
- 折叠
摘要
目的 探讨睡眠质量在抑郁与疼痛程度之间的中介作用,为强化抑郁障碍患者的疼痛管理提供依据.方法 从2015年山东省18岁及以上人群精神障碍流行病学调查数据库中,选取8个市的871名抑郁障碍患者,以及按照同性别、同年龄组、同居住区域1∶1∶1配对原则,随机抽取出的825例高风险者与825例低风险者作为本次研究对象.于2020年对上述人群开展横断面研究,其中成功接受调查并纳入分析者共计1848例.采用《DSM-Ⅳ-TR轴Ⅰ障碍定式临床检查研究版(用于病人)》进行抑郁障碍诊断,采用一般资料调查表(自制)、匹兹堡睡眠质量指数(PSQI)及整体疼痛评估量表(GPS)进行问卷调查.结果 研究组GPS总分高于高、低风险组(F=59.26,P＜0.01).研究人群抑郁与PSQI总分、GPS总分均呈正相关(r=0.40、0.33;P＜0.01),PSQI总分与GPS总分呈正相关(r=0.47,P＜0.01).睡眠质量在抑郁与疼痛程度中起部分中介作用(间接效应占总效应的44.46％).结论 抑郁可以直接影响疼痛程度,也可以通过睡眠质量间接影响疼痛程度,因此改善睡眠质量有助于缓解抑郁障碍患者的疼痛.
Abstract
Objective This study examines how sleep affects the connection between depression and pain sever-ity,aiming to improve pain management for patients with depression.Methods From a 2015 survey in Shandong Prov-ince,871 with depressive disorders were chosen from 8 cities.Also,825 high-risk and 825 low-risk individuals were randomly selected,matched 1:1:1 for gender,age,and area.In 2020,a follow-up study had 1848 participants.Depression was diagnosed using the Structured Clinical Interview for DSM-Ⅳ-TR Axis Ⅰ Disorders.Questionnaires included a general form,Pittsburgh Sleep Quality Index(PSQI),and Global Pain Scale(GPS).Results The study group had higher GPS scores than both high-risk and low-risk groups(F=59.26,P＜0.01).Depression correlated positively with PSQI and GPS scores(r=0.40,0.33,P＜0.01),and PSQI correlated positively with GPS scores(r=0.47,P＜0.0l).Sleep quality partially mediated the link between depression and pain severity,explaining 44.46％of the total effect.Conclusion Depression directly impacts pain severity and indirectly influences it through sleep quality.Improving sleep quality can help alleviate pain in patients with depressive disorders.
关键词
抑郁障碍/疼痛/睡眠质量/横断面调查/山东省Key words
Depressive disorders/Pain/Sleep quality/Epidemiological survey/Shandong Province引用本文复制引用
出版年
2024
NETL
NSTL
万方数据