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建筑工人睡眠质量差的相关因素:二次数据分析。

Factors Associated with Poor Quality of Sleep in Construction Workers: A Secondary Data Analysis.

机构信息

College of Nursing, Yonsei University, Seoul 03722, Korea.

College of Nursing, University of Illinois at Chicago, Chicago, IL 60602, USA.

出版信息

Int J Environ Res Public Health. 2021 Feb 25;18(5):2279. doi: 10.3390/ijerph18052279.

DOI:10.3390/ijerph18052279
PMID:33668985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7956805/
Abstract

This study aimed to explore factors associated with poor quality of sleep in construction workers. This study was cross-sectional, correlational in design and used secondary data from fatigue instrument development study. We analyzed the data from 206 participants aged over 19 years who worked at construction sites for more than 6 months. We used multivariate binary logistic regression to identify the factors associated with poor quality of sleep. We classified the two sleep quality groups based on the Pittsburgh Sleep Quality Index (PSQI) score, and almost 63% of them were classified as the poor quality of sleep group. Based on multivariate binary logistic regression (Cox and Snell R = 0.317, Nagelkerke R = 0.429), the poor quality of sleep group tended to sleep for a shorter duration before the working day, and not only showed lower sleep latency and higher levels of daytime dysfunction and discomfort in daily life, but also had more chronic disease, depressive symptoms, and higher physical fatigue. Our study findings support that there are many modifiable factors associated with poor sleep and a high rate of poor quality of sleep occurred in construction workers. Thus, clinicians should consider providing diverse options for applying interventions to ensure better sleep, fatigue management, and depression prevention in construction workers after considering their unique characteristics.

摘要

本研究旨在探讨与建筑工人睡眠质量差相关的因素。本研究为横断面、相关性设计,使用了疲劳仪开发研究的次级数据。我们分析了来自 206 名年龄在 19 岁以上、在建筑工地工作超过 6 个月的参与者的数据。我们使用多元二项逻辑回归来确定与睡眠质量差相关的因素。我们根据匹兹堡睡眠质量指数(PSQI)评分将这两个睡眠质量组进行分类,其中近 63%的人被归类为睡眠质量差组。基于多元二项逻辑回归(Cox 和 Snell R = 0.317,Nagelkerke R = 0.429),睡眠质量差组在工作日前的睡眠时间较短,不仅睡眠潜伏期较短,白天功能障碍和日常生活不适程度较高,而且还患有更多的慢性疾病、抑郁症状和更高的身体疲劳。我们的研究结果支持有许多可改变的因素与睡眠质量差相关,并且建筑工人中睡眠质量差的发生率很高。因此,临床医生在考虑到建筑工人的独特特征后,应考虑提供多种干预措施的选择,以确保更好的睡眠、疲劳管理和预防抑郁。

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