Getahun Genanew Kassie, Genene Adisu, Tadesse Trhas
Kotebe Metropolitan University, Menelik II Medical and Health Science College, Addis Ababa, Ethiopia.
Addis Ababa Medical and Business College, Addis Ababa, Ethiopia.
Sleep Med X. 2023 May 18;5:100075. doi: 10.1016/j.sleepx.2023.100075. eCollection 2023 Dec.
Sleep is a physiological process that is essential to human physical, emotional, and mental health. Sleep difficulties affect an estimated 150 million individuals globally, with roughly 17% of the population in developing countries. As a result, the purpose of this study was to determine the prevalence and associated factors of poor sleep quality among textile and garment manufacturing workers in Addis Ababa, Ethiopia, in 2022.
A facility-based cross-sectional study was done from July 15th to August 15th, 2022, using a simple random sample technique. The degree of self-reported poor sleep quality was quantified using a validated, interviewer-administered, standardized Pittsburgh Sleep Quality Index. To determine the relationship between independent variables and poor sleep quality, multivariable logistic regression analysis was carried out with a p-value of less than 0.05 and a 95% confidence interval (CI).
The prevalence of poor sleep quality was 75.4% (95% CI: 70.8, 80). Working more than 8 h per day (AOR = 2.83, 95% CI: 1.01, 7.94), work dissatisfaction (AOR = 3.27, 95% CI: 1.52-7.05), and using electronic materials before sleeping (AOR = 2.08, 95% CI: 1.01-4.30) were all associated with poor sleep quality.
Poor sleep quality was common among garment and textile industrial workers. Work dissatisfaction, working hours, and the utilization of electronic materials before bedtime were all substantially related to poor sleep quality, which should be taken into account and addressed early to reduce poor sleep quality.
睡眠是一种对人类身体、情感和心理健康至关重要的生理过程。全球约有1.5亿人存在睡眠困难问题，在发展中国家，这一比例约为17%。因此，本研究旨在确定2022年埃塞俄比亚亚的斯亚贝巴纺织和服装制造业工人睡眠质量差的患病率及相关因素。
2022年7月15日至8月15日，采用简单随机抽样技术进行了一项基于机构的横断面研究。使用经过验证的、由访谈者实施的标准化匹兹堡睡眠质量指数对自我报告的睡眠质量差程度进行量化。为了确定自变量与睡眠质量差之间的关系，进行了多变量逻辑回归分析，p值小于0.05，置信区间为95%（CI）。
睡眠质量差的患病率为75.4%（95%CI：70.8，80）。每天工作超过8小时（调整后比值比[AOR]=2.83，95%CI：1.01，7.94）、工作不满意（AOR=3.27，95%CI：1.52 - 7.05）以及睡前使用电子设备（AOR=2.08，95%CI：1.01 - 4.30）均与睡眠质量差有关。
服装和纺织行业工人睡眠质量差的情况很常见。工作不满意、工作时长以及睡前使用电子设备均与睡眠质量差密切相关，应予以重视并尽早解决，以改善睡眠质量差的状况。
