Korean J Fam Pract. 2017; 7(6): 933-940  https://doi.org/10.21215/kjfp.2017.7.6.933
Comparison Study of Working Pattern and the Prevalence of Metabolic Syndrome among Korean Adults: Using the 2011-2014 Korea National Health and Nutrition Examination Survey
Eun Seo Nam1 , Yeseul Kim2,*, Yeong Shin Kim1
1Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul; 2Department of Family Medicine, National Health Insurance Service Ilsan Hospital, Goyang, Korea
Yeseul Kim
Tel: +82-31-900-0697, Fax: +82-303-3448-7135
E-mail: yesul86@nhimc.or.kr
Received: July 11, 2017; Revised: October 17, 2017; Accepted: October 19, 2017; Published online: December 20, 2017.
© Korean Academy of Family Medicine. All rights reserved.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Background: Shift work, particularly night shifts are known to be associated with an increased risk of chronic disease including cardiovascular disease, metabolic syndrome, gastrointestinal disorders, and/or cancer. We aimed to evaluate the association between shift work including the night shift, and the components of metabolic syndrome in adult Korean workers. We divided our study subjects into a day-work, and a night & shift work group. Factors affecting metabolic syndrome were investigated in each group after classifying these as work-related, sociodemographic, health-behavior-related, and psychological factors.
Methods: This study included 7,290 workers (day workers: 6,075, night and shift workers: 1,215). We performed propensity score matching in our study sample and obtained data from a health survey, as well as health examinations using the 2011–2014 Korean National Health and Nutrition Examination Surveys.
Results: Using logistic regression analysis, we determined that the odds ratio of subjects with metabolic syndrome among the night & shift workers compared to against day workers was 1.219 (95% confidence interval 1.059–1.403). Using logistic regression analysis, we could demonstrate that among day workers, male sex, a manual work job, and exercise were factors that were significantly associated with metabolic syndrome (P<0.05). Among night and shift workers, the daily working status, male sex, and a part-time job were factors that were significantly associated with metabolic syndrome (P<0.05).
Conclusion: We conclude that not only the work pattern, but work-related factors (occupation, working status, among others) show an association with metabolic syndrome.
Keywords: Working Pattern; Manual Worker; Daily Working Status; Day Worker; Night and Shift Worker; Prevalence of Metabolic Syndrome; Work-Related Factors; Factors Affecting on Metabolic Syndrome
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