The Association between Shift Work and the Metabolic Syndrome in Female Workers.
- Author:
Han Hui YE
1
;
Jae Uk JEONG
;
Man Joong JEON
;
Joon SAKONG
Author Information
1. Department of Occupational and Environmental Medicine, Yeungnam University Hospital, 317-1, Daemyungdong, Namgu, Daegu 705-717, Republic of Korea. mjoong@yu.ac.kr
- Publication Type:Original Article
- Keywords:
Shift work;
Female workers;
Metabolic syndrome
- MeSH:
Cardiovascular Diseases;
Commerce;
Daegu;
Drinking;
Female*;
Government Agencies;
Health Behavior;
Humans;
Logistic Models;
Odds Ratio;
Prevalence;
Smoke;
Smoking;
Surveys and Questionnaires
- From:Annals of Occupational and Environmental Medicine
2013;25(1):33-
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVE: This study aimed to determine identify any association between shift work and the metabolic syndrome by comparing the prevalence rates of the metabolic syndrome in shift work groups and daytime work groups for female workers. METHODS: Based on data from health examinations carried out from April to December of 2012, we selected as our subjects 254 female workers from the Daegu area Dyeing Industrial Complex. We diagnosed the metabolic syndrome using the examination results, and information about age, whether or not they did shift work, job type, smoking habits, drinking habits, exercise habits, and past medical history was collected through self-administered questionnaire surveys and face-to-face interviews. The variables found in a univariate analysis to be significant in the occurrence of the metabolic syndrome - age, drinking habits, exercise habits, and shift work - were included in a logistic regression analysis of the risk of the metabolic syndrome for female workers. RESULTS: The prevalence rates of the metabolic syndrome for the total group of study subjects was 11.8%, for daytime workers was 2.8%, and for shift workers was 15.3%. A logistic regression analysis of the odds of the metabolic syndrome for female workers was conducted that included factors associated with the occurrence of the metabolic syndrome: age, drinking habits, exercise habits, and shift work. The results revealed that the odds ratio of the metabolic syndrome in the shift work group, 6.30 (95% CI 1.24-32.15), was significantly higher when compared with the daytime work group. CONCLUSION: Shift work appears to have an association with the metabolic syndrome in female workers. Accordingly, we believe that the attention of government agencies and business owners is needed together with the individual practice of health behaviors to manage the metabolic syndrome for the prevention of cardiovascular disease in female shift workers.
