某三级医院老年功能性消化不良患者睡眠质量与焦虑抑郁相关性研究

Correlation of sleep quality with anxiety and depression in elderly patients with functional dyspepsia in a tertiary hospital

背景功能性消化不良(functional dyspepsia,FD)是影响老年患者睡眠质量的常见疾病之一,长期睡眠障碍患者伴有不同程度的焦虑,抑郁情绪.目的观察某三级医院老年FD患者睡眠质量与焦虑抑郁情绪的优势分析,并探讨睡眠质量各因子在预测焦虑、抑郁情绪中的重要性.方法选择2017-09/2019-09在浙江省金华市第二医院住院的老年FD患者112例为研究对象,采用匹兹堡睡眠质量指数量表(pittsburgh sleep quality index,PSQI)和焦虑/抑郁自评量表(anxiety/depression self-rating scale,SAS/SDS)进行调查,运用优势回归方法对其关系进行深入分析.结果老年FD患者在睡眠质量、入睡时间、睡眠效率、催眠药物、PSQI及SAS总分方面女性评分均低于男性(P<0.05),而各维度总评分明显高于国内常模(P<0.05).通过回归分析发现,在性别和睡眠质量因子中的日间功能、睡眠质量、睡眠时间及睡眠效率对焦虑情绪的预测水平较高(P<0.05).睡眠质量因子中的睡眠效率和日间功能对抑郁情绪的预测水平较高(P<0.05).回归分析提示变量X1在已预测方差中为61.54%,X2在已预测方差中为38.46%.睡眠质量与焦虑、抑郁情绪分层及逐步回归后,4个变量(X1,X2,X3,X4)进入回归方程,最终X1在已预测方差中为38.26%,X2为22.86%,X3为17.63%,X4为20.85%.结论睡眠质量各因子中日间功能,睡眠质量,睡眠效率,睡眠时间对焦虑情绪有预测作用,而睡眠效率、日间功能对抑郁情绪有预测作用,因此在临床工作应根据睡眠质量各因子采取针对性的治疗和护理干预.

BACKGROUND Functional dyspepsia(FD)is a common disease affecting the sleep quality of elderly patients,and patients with long-term sleep disorders are accompanied by different degrees of anxiety and depression.AIM To observe the advantages of sleep quality and anxiety and depression in elderly patients with FD in a tertiary hospital,and to explore the importance of sleep quality factors in predicting anxiety and depression.METHODS One hundred and twelve elderly patients with FD who were hospitalized at The Second Hospital of Jinhua,Zhejiang Province from September 2017 to September 2019 were selected as research subjects.Pittsburgh sleep quality index(PSQI)scale and anxiety/depression selfrating scale(SAS/SDS)were used for investigation.RESULTS In elderly patients with FD,the scores of sleep quality,sleep time,sleep efficiency,use of hypnotic drugs,and PSQI and SAS scores were all significantly lower in women than in men(P<0.05),and the score of each dimension in the overall population was significantly higher than the domestic norm(P<0.05).Through regression analysis,it was found that the prediction performance of daytime function,sleep quality,sleep time,and sleep efficiency for anxiety was higher(P<0.05),and sleep efficiency and daytime function performed significantly better in predicting depression(P<0.05).The regression analysis suggested that X1 and X2 accounted for 61.54%and 38.46%of the predicted variance,respectively.After stratification and gradual regression of sleep quality and anxiety and depression,four variables(X1,X2,X3,and X4)were entered into the regression equation.X1,X2,X3,and X4 accounted for 38.26%,22.86%,17.63%,and 20.85%of the predicted variance.CONCLUSION Among all factors of sleep quality,daytime function,sleep quality,sleep efficiency,and sleep time can predict anxiety,while sleep efficiency and daytime function can predict depression.Therefore,targeted treatment and nursing intervention should be adopted in clinical work according to each factor of sleep quality.