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KMID : 0667720070440000482
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Report Natlonal Institute of Health
2007 Volume.44 No. 0 p.482 ~ p.484
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Construction of Korea Heath Examinee Cohort based on non-metropolitan area
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Kim Dong-Hyun
Leem Jong-Han
Kim Yang-Ho
Lee Duk-Hee
Ju Yeong-Su
Kim Young-Wook
Kim Sung-Hi
Roh Sang-Chul
Moon Jai-Dong
Kwak Hye-Kyoung
Ahn Youn-Jhin
Kim Sung-Soo
Park Man-Seok
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Abstract
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Purpose : The Korea Health Examinee Cohort (KOEX) is one of major types of Korea Genome Epidemiology Study(KoGES). Based on the regular health check-up system offered to all adults aged 40 years and over every two years by National Health Insurance Company (NHIC) in Korea, we are currently recruiting cohort members from ～20 centers. In 2007, further recruitment of cohort members continued to estimate the prevalence of metabolic syndrome and to evaluate the association between potential risk factors and the risk of the metabolic syndrome.
Methods : Informed consent was obtained from participants upon their visiting a study clinic of non-metropolitan area. Thereafter, we drew blood in the fasting state and administered questionnaire survey. Data on general lifestyle, physical activity, diet, reproductive factors, and psychosocial variables were collected through face to face direct interview using a structured questionnaire. We performed clinical examinations to obtain data on blood pressure, EKG, and several biochemical markers. Information on anthropometric indices, such as height, weight, and waist/hip circumference,were also collected. Body fat composition were measured using Bioelectric Impedance analysis (Zeus 9.9). A biological materials with several aliquots (serum, plasma, DNA, packed erythrocytes) were stored at the central biobank for future analysis. Web-based database was developed for the efficient and reliable data entry. We forwarded result sheets to each participant, which were generated automatically from the database on completion of data entry.
Results : From March to December 2007, 12,000 individuals were recruited. The prevalence of metabolic yndrome was 26.3% (28.9% in men and 27.6% in women). The rates appeared increasing with age, esp. among women. The rate became higher among women than men in their sixties. We analysed the relationship between socio-demographic and lifestyles factors and the prevalence of metabolic syndrome. In multivariable analysis, the family history of diabetes ellitus was found to be a risk factor among men, while the family history of diabetes mellitus and hypertension among women. Especially the prevalence was higher among those with low educational attainment in all man and women.
Conclusion : The metabolic syndrome was found to be significantly associated with age and socio-demographic factors. Therefore, it is important that the prevention efforts of metabolic syndrome include several measures. It is the consideration that the difference by age, educational attainment, family history of diabetes mellitus and hypertension.
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KEYWORD
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metabolic syndrome, genome, health examinee cohort, prevalence
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