PURPOSE
This study examined the influence of occupational type and lifestyle habits on the prevalence of metabolic syndrome (MetS) among Korean male workers.
METHODS
Through secondary analysis of their four-year health examination data, 3,892 subjects were divided into four subgroups according to the presence of MetS now and four years ago.
RESULTS
Nineteen percent (n=739) suffered from MetS and these 739 subjects were classified into following occupations: 7.1% were office workers, 17.6% were non-office workers, and 42.2% were drivers. Multiple logistic regression analyses showed that when the data adjusted for age, the predicting factors on the prevalence of MetS were heavy drinking (OR 1.34, 95% CI 1.09~1.64) and the occupation of non-office workers (OR 2.99, 95% CI 2.13~4.18) and drivers (OR 7.97, 95% CI 4.89~10.83) among workers without MetS four years ago. Among workers already with a history of MetS, the predicting factors were less exercise (OR 1.55, 95% CI 1.02~2.35) and drivers (OR 2.21, 95% CI 1.03~2.94).
CONCLUSION
Heavy drinking and less exercise and drivers were reported as influencing factors on the prevalence of MetS by this sample. The findings suggest that employers need to provide their employees with screening and management program for those at risk of MetS.

Citations

• Effects of a Remote Physical Activity Improvement Program on Male Office Workers with Metabolic Syndrome in Their 30s and 40s with Sedentary Behavior: A Randomized Controlled Trial
  Kyong Sil Park, Seon Young Hwang
  Asian Nursing Research.2024; 18(2): 81.     CrossRef
• Effects of a Health Partnership Program Using Mobile Health Application for Male Workers with Cardiovascular Risk Factors in Small and Medium Enterprises: A Randomized Controlled Trial
  Eun Jin Kim, Seon Young Hwang
  Journal of Korean Academy of Nursing.2024; 54(1): 44.     CrossRef
• Occupational Assessments of Risk Factors for Cardiovascular Diseases in Labors: An Application of Metabolic Syndrome Scoring Index
  Ching-Yuan Lin, Chih-Ming Lin
  International Journal of Environmental Research and Public Health.2020; 17(20): 7539.     CrossRef
• The Impact of Cluster-Type Risk Factors on Adverse Clinical Prognosis in Patients with Coronary Artery Disease: A Secondary Data Analysis
  In Ae Uhm, Seon Young Hwang
  Korean Journal of Adult Nursing.2020; 32(2): 156.     CrossRef
• Metabolic Syndrome Status of Chinese Workers and Their Physical Profiles, Lifestyle Scores, and Nutrient Intakes
  Chao Wang, Hokyung Ryu
  Korean Journal of Community Nutrition.2017; 22(1): 63.     CrossRef