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自我报告的睡眠时间与抑郁症之间关联的社会人口学预测因素。

Sociodemographic predictors of the association between self-reported sleep duration and depression.

作者信息

Al Balushi Mitha, Ahmad Amar, Al Balushi Sara, Javaid Sayed, Al-Maskari Fatma, Abdulle Abdishakur, Ali Raghib

机构信息

Public Health Research Center, New York University-Abu Dhabi, Abu Dhabi, United Arab Emirates.

Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Alain, United Arab Emirates.

出版信息

PLOS Glob Public Health. 2024 Jun 12;4(6):e0003255. doi: 10.1371/journal.pgph.0003255. eCollection 2024.

DOI:10.1371/journal.pgph.0003255
PMID:38865376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11168698/
Abstract

A growing interest has been recently reported in exploring sleep duration within psychology context in particular to its relation to some mental chronic diseases such as depression. The aim of this study is to investigate the association between self-reported sleep hours as an outcome and self-perceived depression among Emirati adults, after adjusting for sociodemographic factors such as age, gender, marital status, and employment status. We performed a cross-sectional analysis using 11,455 participants baseline data of the UAE Healthy Future Study (UAEHFS). Univariate and multivariate logistic regression models were performed with self-reported sleep hours as an outcome. The predictors were the self-reported depression by measuring the PHQ-8 score, sociodemographic factors (age, gender, marital status, and employment status) Odds ratios with 95% confidence intervals (CI) were reported. In a sensitivity analysis, a multivariate imputation by chained equations (MICE) procedure was applied with classification and Regression Trees (CART) to impute missing values. Overall, 11,455 participants were included in the final analysis of this study. Participants' median age was 32.0 years (Interquartile-Range: 24.0, 39.0). There were 6,217 (54.3%) males included in this study. In total, 4,488 (63.6%) of the participants reported sleep duration of more than 7 hours. Statistically significant negative association was observed between the total PHQ-8 score as a measure for depression and binarized self-reported sleep, OR = 0.961 (95% CI: 0.948, 0.974). For one unit increase in age and BMI, the odds ratio of reporting shorter sleep was 0.979 (95% CI: 0.969, 0.990) and 0.987 (95% CI: 0.977, 0.998), respectively. The study findings indicate a correlation between self-reported depression and an increased probability of individuals reporting shorter self-perceived sleep durations especially when considering the sociodemographic factors as predictors. There was a variation in the effect of depression on sleep duration among different study groups. In particular, the association between reported sleep duration and reported depression, students and unemployed individuals have reported longer sleep hours as compared to employed participants. Also, married individuals reported a higher percentage of longer sleep duration as compared to single and unmarried ones when examined reported depression as a predictor to sleep duration. However, there was no gender differences in self-perceived sleep duration when associated with reported depression.

摘要

最近有报道称,人们对在心理学背景下探索睡眠时间越来越感兴趣,特别是其与一些慢性精神疾病(如抑郁症)的关系。本研究的目的是在调整年龄、性别、婚姻状况和就业状况等社会人口学因素后,调查阿联酋成年人自我报告的睡眠时间与自我感知的抑郁症之间的关联。我们使用阿联酋健康未来研究(UAEHFS)的11455名参与者的基线数据进行了横断面分析。以自我报告的睡眠时间为结果进行单变量和多变量逻辑回归模型分析。预测因素是通过测量PHQ-8得分自我报告的抑郁症、社会人口学因素(年龄、性别、婚姻状况和就业状况),报告了95%置信区间(CI)的比值比。在敏感性分析中,应用链式方程多元插补(MICE)程序和分类与回归树(CART)来插补缺失值。总体而言,11455名参与者被纳入本研究的最终分析。参与者的年龄中位数为32.0岁(四分位间距:24.0,39.0)。本研究纳入了6217名(54.3%)男性。总共有4488名(63.6%)参与者报告睡眠时间超过7小时。作为抑郁症衡量指标的总PHQ-8得分与二分类自我报告睡眠之间观察到具有统计学意义的负相关,OR = 0.961(95% CI:0.948,0.974)。年龄和BMI每增加一个单位,报告睡眠时间较短的比值比分别为0.979(95% CI:0.969,0.990)和0.987(95% CI:0.977,0.998)。研究结果表明,自我报告的抑郁症与个体报告自我感知睡眠时间较短的可能性增加之间存在相关性,尤其是在将社会人口学因素作为预测因素时。抑郁症对不同研究组睡眠时间的影响存在差异。特别是,在报告的睡眠时间与报告的抑郁症之间的关联方面,与就业参与者相比,学生和失业个体报告的睡眠时间更长。此外,当将报告的抑郁症作为睡眠时间的预测因素进行检查时,已婚个体报告较长睡眠时间的百分比高于单身和未婚个体。然而,在与报告的抑郁症相关时,自我感知的睡眠时间没有性别差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3d/11168698/d6de5766771d/pgph.0003255.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3d/11168698/fdf7a8fbcd4f/pgph.0003255.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3d/11168698/2c347842894e/pgph.0003255.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3d/11168698/d6de5766771d/pgph.0003255.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3d/11168698/fdf7a8fbcd4f/pgph.0003255.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3d/11168698/2c347842894e/pgph.0003255.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a3d/11168698/d6de5766771d/pgph.0003255.g003.jpg

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