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Lifestyle and Metabolic Syndrome among Male Workers in an Electronics Research and Development Company

한 전자제품 연구소 남자 종사자들의 생활습관실천과 대사증후군의 관련성

  • Myong, Jun-Pyo (Team of Health promotion, Division of Health and Sanitation, Chungcheongbuk-do Provincial Government) ;
  • Kim, Hyoung-Ryoul (Department of Preventive Medicine & Industrial Medical Center, The Catholic University School of Medicine) ;
  • Kim, Yong-Kyu (Department of Preventive Medicine & Industrial Medical Center, The Catholic University School of Medicine) ;
  • Koo, Jung-Wan (Department of Preventive Medicine & Industrial Medical Center, The Catholic University School of Medicine) ;
  • Park, Chung-Yill (Department of Preventive Medicine & Industrial Medical Center, The Catholic University School of Medicine)
  • 명준표 (충청북도 보건위생과 건강증진팀) ;
  • 김형렬 (가톨릭대학교 의과대학 예방의학교실 및 산업의학센터) ;
  • 김용규 (가톨릭대학교 의과대학 예방의학교실 및 산업의학센터) ;
  • 구정완 (가톨릭대학교 의과대학 예방의학교실 및 산업의학센터) ;
  • 박정일 (가톨릭대학교 의과대학 예방의학교실 및 산업의학센터)
  • Published : 2009.09.30

Abstract

Objectives : The objectives of this study were to determine the relationship between lifestyle-implementation and metabolic syndrome in an electronics research and development company, and to provide a foundation for health providers of health management programs for setting priorities. Methods : From July 1 to July 16, 2008 we carried out a descriptive cross-sectional survey. Consecutive workers of one R & D company in Seoul, Korea (N=2,079) were enrolled in study. A checklist for lifestyle (from the National Health Insurance Corporation) consisted of questions regarding diet, drinking, smoking and exercise. After the survey, researchers obtained data from health profiles for metabolic syndrome(waist-circumference, triglycerides, HDL cholesterol, blood pressure and fasting blood sugar level). Lifestyle was recorded as good or not good. Statistical analysis of metabolic syndrome and the lifestyle of subjects was done using multiple logistic regression analysis. Results : The prevalence of metabolic syndrome in our study gropu was 13.3% (N=277). After adjustment for age, the adjusted odds ratios (odds ratio, 95% confidence intervals) for metabolic syndrome increased in proportion to the number of bad habits: two (1.72, 1.23-2.44), three (2.47, 1.73-3.56), and four (3.63, 2.03-6.34). Relative to subjects eating both vegetables and meat', the OR for 'meat' eaters was 1.66 (1.18-2.31). Compared with 'nonsmokers and ever-smoker', the OR for 'current-smoker' was 1.62 (1.25-2.10). Compared with 'Healthy drinker', the OR for 'unhealthy drinker' was 1.38 (1.05-1.83). Conclusions : Poor lifestyle was associated with an increased likelihood of metabolic syndrome. These findings suggest that lifestyle-based occupational health interventions for young employees should include a specific diet, smoking cessation, and healthy-drinking programs.

Keywords

References

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