Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
Department of Public Health, Addis Ababa Medical and Business College, Addis Ababa, Ethiopia.
BMJ Open. 2023 Oct 4;13(10):e073340. doi: 10.1136/bmjopen-2023-073340.
This study aimed to investigate the prevalence and associated factors of poor sleep quality among Bole Lemi Industrial Park workers in Addis Ababa, the capital of Ethiopia.
An institution-based cross-sectional study was conducted from July to August 2022. The data were collected using a validated and standardised Pittsburgh Sleep Quality Index Questionnaire. The collected data were entered into EpiData V.4.6 and analysed using Stata V.14. A multivariable binary logistic regression analysis was conducted to identify factors associated with poor sleep quality. The association was determined using an adjusted OR (AOR) with a 95% CI at a p value of <0.05.
The study was conducted in Bole Lemi Industrial Park in Addis Ababa.
A total of 370 workers participated in this study.
The primary outcome of the study was the prevalence of poor sleep quality.
The total response rate was 87.7%. The majority (260, 70.3%) of the participants were female. The mean (±SD) age of the participants was 30.5 (±10.6) years. The prevalence of poor sleep quality during the last months was found to be 75.4% (n=279) (95% CI: 70.7% to 79.7%). Undiversified dietary intake (AOR: 1.63; 95% CI (1.09 to 2.78)), caffeine consumption more than 250 mg per day (AOR: 2.57; 95% CI (1.12 to 6.05)) and night shift work (AOR: 2.36; 95% CI (1.27 to 4.41)) were risk factors for poor sleep quality among sampled workers.
This study detected that poor sleep quality is highly prevalent among garment and textile industry workers, indicating that it is a significant public health issue that requires immediate attention. Therefore, modifications of the work environment involving night shift work and the improvement of workers' personal lifestyles involving dietary diversification and caffeine consumption are needed to minimise the burden of poor sleep quality among workers.
本研究旨在调查埃塞俄比亚首都亚的斯亚贝巴博莱莱米工业园工人的睡眠质量不佳的流行情况及其相关因素。
这是一项于 2022 年 7 月至 8 月进行的基于机构的横断面研究。使用经过验证和标准化的匹兹堡睡眠质量指数问卷收集数据。收集的数据输入到 EpiData V.4.6 中，并使用 Stata V.14 进行分析。采用多变量二元逻辑回归分析来确定与睡眠质量不佳相关的因素。关联采用调整后的比值比（AOR）和 95%置信区间（CI）表示，p 值<0.05。
研究在亚的斯亚贝巴博莱莱米工业园进行。
共有 370 名工人参加了这项研究。
本研究的主要结果是睡眠质量不佳的流行情况。
总应答率为 87.7%。大多数（260，70.3%）参与者为女性。参与者的平均（±标准差）年龄为 30.5（±10.6）岁。发现最近几个月睡眠质量不佳的患病率为 75.4%（n=279）（95%CI：70.7%至 79.7%）。饮食摄入不均衡（AOR：1.63；95%CI（1.09 至 2.78））、每天摄入超过 250mg 咖啡因（AOR：2.57；95%CI（1.12 至 6.05））和夜班工作（AOR：2.36；95%CI（1.27 至 4.41））是被抽样工人睡眠质量不佳的危险因素。
本研究发现，服装和纺织行业工人的睡眠质量不佳情况较为严重，这表明这是一个严重的公共卫生问题，需要立即引起重视。因此，需要对工作环境进行调整，减少夜班工作，并改善工人的个人生活方式，包括饮食多样化和减少咖啡因摄入，以减轻工人睡眠质量不佳的负担。
