Qisheng Wu, Shiheng Fan, Bingxian Zhou, Chunyun Lu, Nengde Zhang, Zhuna Su, Jianye Peng, Dee Yu, Jing Zhang
{"title":"海南岛石化工人职业因素与睡眠障碍关系的横断面研究","authors":"Qisheng Wu, Shiheng Fan, Bingxian Zhou, Chunyun Lu, Nengde Zhang, Zhuna Su, Jianye Peng, Dee Yu, Jing Zhang","doi":"10.13075/ijomeh.1896.02468","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>The study aimed to examine the relationship between occupational factors and sleep disorders among employees in petrochemical enterprises.</p><p><strong>Material and methods: </strong>All participants from the employees of Hainan Petroleum Refining and Chemical Enterprises were recruited by the cluster sampling in June 1, 2022. The questionnaire used in this research was primarily composed of 3 sections: demographic characteristics, <i>Pittsburgh Sleep Quality Index</i> (PSQI) questionnaire and occupation-related factors affecting sleep disorders. A 1:1 propensity score matching (PSM) method was used to balance the demographic characteristics of the 2 groups. Multivariate logistic regression was employed to analyze the independent factors influencing sleep disorders.</p><p><strong>Results: </strong>A total of 952 valid questionnaires were collected. The frequency of sleep disorders among the 952 participants was 41.9% (N = 399). After PSM, 356 pairs were successfully matched. There was no statistical difference in socio-demographic characteristics between sleep disorder groups (p > 0.05). The logistic regression analysis showed that employees with weekly working time >40 h exhibited a higher likelihood of sleep disorders (OR: 1.74, 95% CI: 1.09-2.82) than those working ≤40 h. Individuals exposed to high-temperature working environments were more likely to experience sleep disorders (OR: 1.77, 95% CI: 1.12-2.81), while the sleep disorder risk in those with occupational stress was 2.67-fold (OR: 2.67, 95% CI: 1.89-3.80). Employees in storage and transportation (OR: 3.34, 95% CI: 1.81-6.40) and other positions (OR: 1.68, 95% CI: 1.03-2.75) displayed a higher risk of sleep disorders than operational workers.</p><p><strong>Conclusions: </strong>The frequency of sleep disorders among employees in petrochemical enterprises is high. Weekly working hours, type of work position, high-temperature exposure, and high occupational stress are associated with increased risk of sleep disorders among petrochemical workers. Health policymakers should fully consider these factors in improving the sleep quality of petrochemical workers. Int J Occup Med Environ Health. 2024;37(6):591-601.</p>","PeriodicalId":14173,"journal":{"name":"International journal of occupational medicine and environmental health","volume":" ","pages":"591-601"},"PeriodicalIF":1.4000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Relationship between occupational factors and sleep disorders among petrochemical workers on Hainan Island, South China: a cross-sectional study.\",\"authors\":\"Qisheng Wu, Shiheng Fan, Bingxian Zhou, Chunyun Lu, Nengde Zhang, Zhuna Su, Jianye Peng, Dee Yu, Jing Zhang\",\"doi\":\"10.13075/ijomeh.1896.02468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The study aimed to examine the relationship between occupational factors and sleep disorders among employees in petrochemical enterprises.</p><p><strong>Material and methods: </strong>All participants from the employees of Hainan Petroleum Refining and Chemical Enterprises were recruited by the cluster sampling in June 1, 2022. The questionnaire used in this research was primarily composed of 3 sections: demographic characteristics, <i>Pittsburgh Sleep Quality Index</i> (PSQI) questionnaire and occupation-related factors affecting sleep disorders. A 1:1 propensity score matching (PSM) method was used to balance the demographic characteristics of the 2 groups. Multivariate logistic regression was employed to analyze the independent factors influencing sleep disorders.</p><p><strong>Results: </strong>A total of 952 valid questionnaires were collected. The frequency of sleep disorders among the 952 participants was 41.9% (N = 399). After PSM, 356 pairs were successfully matched. There was no statistical difference in socio-demographic characteristics between sleep disorder groups (p > 0.05). The logistic regression analysis showed that employees with weekly working time >40 h exhibited a higher likelihood of sleep disorders (OR: 1.74, 95% CI: 1.09-2.82) than those working ≤40 h. Individuals exposed to high-temperature working environments were more likely to experience sleep disorders (OR: 1.77, 95% CI: 1.12-2.81), while the sleep disorder risk in those with occupational stress was 2.67-fold (OR: 2.67, 95% CI: 1.89-3.80). Employees in storage and transportation (OR: 3.34, 95% CI: 1.81-6.40) and other positions (OR: 1.68, 95% CI: 1.03-2.75) displayed a higher risk of sleep disorders than operational workers.</p><p><strong>Conclusions: </strong>The frequency of sleep disorders among employees in petrochemical enterprises is high. Weekly working hours, type of work position, high-temperature exposure, and high occupational stress are associated with increased risk of sleep disorders among petrochemical workers. Health policymakers should fully consider these factors in improving the sleep quality of petrochemical workers. 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Relationship between occupational factors and sleep disorders among petrochemical workers on Hainan Island, South China: a cross-sectional study.
Objectives: The study aimed to examine the relationship between occupational factors and sleep disorders among employees in petrochemical enterprises.
Material and methods: All participants from the employees of Hainan Petroleum Refining and Chemical Enterprises were recruited by the cluster sampling in June 1, 2022. The questionnaire used in this research was primarily composed of 3 sections: demographic characteristics, Pittsburgh Sleep Quality Index (PSQI) questionnaire and occupation-related factors affecting sleep disorders. A 1:1 propensity score matching (PSM) method was used to balance the demographic characteristics of the 2 groups. Multivariate logistic regression was employed to analyze the independent factors influencing sleep disorders.
Results: A total of 952 valid questionnaires were collected. The frequency of sleep disorders among the 952 participants was 41.9% (N = 399). After PSM, 356 pairs were successfully matched. There was no statistical difference in socio-demographic characteristics between sleep disorder groups (p > 0.05). The logistic regression analysis showed that employees with weekly working time >40 h exhibited a higher likelihood of sleep disorders (OR: 1.74, 95% CI: 1.09-2.82) than those working ≤40 h. Individuals exposed to high-temperature working environments were more likely to experience sleep disorders (OR: 1.77, 95% CI: 1.12-2.81), while the sleep disorder risk in those with occupational stress was 2.67-fold (OR: 2.67, 95% CI: 1.89-3.80). Employees in storage and transportation (OR: 3.34, 95% CI: 1.81-6.40) and other positions (OR: 1.68, 95% CI: 1.03-2.75) displayed a higher risk of sleep disorders than operational workers.
Conclusions: The frequency of sleep disorders among employees in petrochemical enterprises is high. Weekly working hours, type of work position, high-temperature exposure, and high occupational stress are associated with increased risk of sleep disorders among petrochemical workers. Health policymakers should fully consider these factors in improving the sleep quality of petrochemical workers. Int J Occup Med Environ Health. 2024;37(6):591-601.
期刊介绍：
The Journal is dedicated to present the contemporary research in occupational and environmental health from all over the world. It publishes works concerning: occupational and environmental: medicine, epidemiology, hygiene and toxicology; work physiology and ergonomics, musculoskeletal problems; psychosocial factors at work, work-related mental problems, aging, work ability and return to work; working hours, shift work; reproductive factors and endocrine disruptors; radiation, ionizing and non-ionizing health effects; agricultural hazards; work safety and injury and occupational health service; climate change and its effects on health; omics, genetics and epigenetics in occupational and environmental health; health effects of exposure to nanoparticles and nanotechnology products; human biomarkers in occupational and environmental health, intervention studies, clinical sciences’ achievements with potential to improve occupational and environmental health.
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