Association of sleep characteristics and respiratory symptoms at a smelting factory.

IF 2.4 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL Cognition Technology & Work Pub Date : 2022-05-19 DOI:10.3233/wor-213637
Mohammad-Mehdi Mehrabi Nejad, A. Najafi, A. Hajighadery, N. Izadi, Z. Alemohammad, Mahya Shabani, M. Saraei
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Abstract

BACKGROUND Sleep disturbance including insomnia and poor sleep quality has been shown to be a major health determinant in occupational settings. Specific occupational exposures to hazards in most workplaces can lead to various health problems, especially sleep problems. OBJECTIVE The study aimed to investigate sleep characteristics, and their relationships with work-related exposures, demographics, and other related variables in workers of a smelting factory. METHODS This cross-sectional study was carried out on workers in a 40-year smelting factory located in the East of Tehran Province. A total of 200 male participants were included in the study. Among them, 51 workers were from the production process staff and the rest were office workers. Their shifts were from 6 AM to 5 PM. All participants were asked about demographic characteristics and exposure to respiratory pollutants. All participants answered validated Persian versions of the Insomnia Severity Index (ISI) and the Pittsburgh Sleep Quality Index (PSQI). RESULTS The means (SD) of age and BMI were 39.1 (8.9) years and 26.8 (4.5) kg/m2, respectively. Among all participants, 51 (25.5%) experienced exposure to a respiratory pollutant. Among all workers, 96 (48%) experienced poor sleep quality and 87 (43.5%) and 10 (5%) had subthreshold and clinical insomnia, respectively. The mean (SD) night sleep duration was 6.4 (0.96) hours. Data analysis illustrated a significant positive relationship between exposure to respiratory pollutants and insomnia (p-value = 0.03). Howewer, this association between sleep quality and exposure to repiratory pollutants was not significant (p-value = 0.25). Further analysis with binominal regression showed participants with exposure to respiratory pollutants were more susceptible to clinical insomnia (p-value = 0.02, exp(B) = 0.213), and after regressing out the effect of smoking, participants with exposure to respiratory pollutants remained susceptible to clinical insomnia. A lower night sleep duration was observed among participants with exposure to inhalational material (p-value = 0.05). CONCLUSIONS Occupational exposures to hazardous material, including inhalational exposures, could cause sleep disturbance, which warrants more attention paid by sleep specialists.
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冶炼厂睡眠特征与呼吸系统症状的关系
背景:睡眠障碍包括失眠和睡眠质量差已被证明是职业环境中主要的健康决定因素。在大多数工作场所,特定的职业暴露会导致各种健康问题,尤其是睡眠问题。目的研究某冶炼厂工人的睡眠特征及其与工作暴露、人口统计学和其他相关变量的关系。方法对位于德黑兰省东部的一家有40年历史的冶炼厂的工人进行了横断面研究。共有200名男性参与者参与了这项研究。其中51人是生产工艺人员,其余为办公室职员。他们的轮班时间是从早上6点到下午5点。所有参与者都被问及人口统计学特征和呼吸污染物暴露情况。所有参与者都回答了波斯语版的失眠严重程度指数(ISI)和匹兹堡睡眠质量指数(PSQI)。结果年龄和BMI均值(SD)分别为39.1(8.9)岁和26.8 (4.5)kg/m2。在所有参与者中,51人(25.5%)暴露于呼吸道污染物。在所有员工中,96人(48%)睡眠质量差,87人(43.5%)和10人(5%)分别患有阈下和临床失眠。平均(SD)夜间睡眠时间为6.4(0.96)小时。数据分析表明,呼吸污染物暴露与失眠之间存在显著正相关(p值= 0.03)。然而,睡眠质量与暴露于呼吸道污染物之间的关联并不显著(p值= 0.25)。进一步的二项回归分析表明,暴露于呼吸污染物的参与者更容易出现临床失眠(p值= 0.02,exp(B) = 0.213),并且在回归吸烟的影响后,暴露于呼吸污染物的参与者仍然容易出现临床失眠。暴露于吸入性物质的参与者夜间睡眠时间较短(p值= 0.05)。结论职业接触有害物质,包括吸入性接触,可引起睡眠障碍,值得睡眠专家重视。
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来源期刊
Cognition Technology & Work
Cognition Technology & Work ENGINEERING, INDUSTRIAL-
CiteScore
6.90
自引率
7.70%
发文量
26
审稿时长
>12 weeks
期刊介绍: Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions. The aim is to publish research that normally resides on the borderline between people, technology, and organisations. Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors. The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective. The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants. Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.
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