Mohammad-Mehdi Mehrabi Nejad, A. Najafi, A. Hajighadery, N. Izadi, Z. Alemohammad, Mahya Shabani, M. Saraei
{"title":"Association of sleep characteristics and respiratory symptoms at a smelting factory.","authors":"Mohammad-Mehdi Mehrabi Nejad, A. Najafi, A. Hajighadery, N. Izadi, Z. Alemohammad, Mahya Shabani, M. Saraei","doi":"10.3233/wor-213637","DOIUrl":null,"url":null,"abstract":"BACKGROUND\nSleep 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.\n\n\nOBJECTIVE\nThe study aimed to investigate sleep characteristics, and their relationships with work-related exposures, demographics, and other related variables in workers of a smelting factory.\n\n\nMETHODS\nThis 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).\n\n\nRESULTS\nThe 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).\n\n\nCONCLUSIONS\nOccupational exposures to hazardous material, including inhalational exposures, could cause sleep disturbance, which warrants more attention paid by sleep specialists.","PeriodicalId":49090,"journal":{"name":"Cognition Technology & Work","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognition Technology & Work","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.3233/wor-213637","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
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.
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.