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JPMPH : Journal of Preventive Medicine and Public Health


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Hyoung Ryoul Kim 2 Articles
Lifestyle and Metabolic Syndrome among Male Workers in an Electronics Research and Development Company.
Jun Pyo Myong, Hyoung Ryoul Kim, Yong Kyu Kim, Jung Wan Koo, Chung Yill Park
J Prev Med Public Health. 2009;42(5):331-336.
  • 4,828 View
  • 60 Download
  • 6 Crossref
AbstractAbstract PDF
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 'non-smokers 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.


Citations to this article as recorded by  
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    Prince Osei Akumiah, Kwabena Opoku-Addai, Adwoa Safowaa, Akosua Serwaa Akumiah
    SN Comprehensive Clinical Medicine.2023;[Epub]     CrossRef
  • Factors associated with metabolic syndrome among Korean office workers
    Hosihn Ryu, Dal Lae Chin
    Archives of Environmental & Occupational Health.2017; 72(5): 249.     CrossRef
  • Relation of Health Promotion Behaviors and Metabolic Syndrome in Daytime Workers
    Dae-Sik Ko, Bu-Yeon Park, Gyeong-Hyu Seok
    The Journal of the Korea institute of electronic communication sciences.2013; 8(12): 1941.     CrossRef
  • Actual Cardiovascular Disease Risk and Related Factors: A Cross-sectional Study of Korean Blue Collar Workers Employed by Small Businesses
    Jong Uk Won, Oi Saeng Hong, Won Ju Hwang
    Workplace Health & Safety.2013; 61(4): 163.     CrossRef
  • Actual Cardiovascular Disease Risk and Related Factors
    Jong Uk Won, Oi Saeng Hong, Won Ju Hwang
    Workplace Health & Safety.2013; 61(4): 163.     CrossRef
  • Prevalence and Associated Risk Factors of the Metabolic Syndrome in the Korean Workforce
    Dae Ryong KANG, Yeongmi HA, Won Ju HWANG
    Industrial Health.2013; 51(3): 256.     CrossRef
The Relationship Between Socioeconomic Position and the Predicted Risk of Ischemic Heart Disease with Using Health Risk Appraisal.
Dong Hee Koh, Hyoung Ryoul Kim, Sun Shil Han, Sun Ha Jee
J Prev Med Public Health. 2006;39(4):359-364.
  • 2,402 View
  • 54 Download
AbstractAbstract PDF
The object of this study is to assess the relationship between socioeconomic factors and the predicted 10-year risk of cardiovascular disease by using health risk appraisal of ischemic heart disease. METHODS: The study population was taken from The 2001 Korea National Health and Nutrition Survey, and it consisted of 1,566 men and 1,984 women aged 30-59. We calculated 10-year risk using the risk function of ischemic heart disease as developed by Jee. The educational level and equivalized household income were dichotomized by a 12 years education period and the median income level. Occupation was dichotomized into manual/non-manual work. We stratified the population by age(10 years) and sex, and then we rated the risk differences according to socioeconomic factors by performing t-tests for each strata. RESULTS: There were gradients of the predicted 10-year risk of ischemic heart disease with the educational level and the equivalized household income, and thet was an increasing tendency of risk differences with age. Manual workers didn't show significant risk difference from nonmanual workers. CONCLUSIONS: There was definite relationship between low socioeconomic position and the predicted risk of ischemic heart disease in the future.

JPMPH : Journal of Preventive Medicine and Public Health