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The Relationship between Metabolic Syndrome and Korean Cardiocerebrovascular Risk Assessment: for Male Researchers in a Workplace  

Yoon, Jong-Wan (Department of Occupational & Environmental Medicine, Eulji University Hospital)
Yi, Kyung-Jin (Department of Occupational & Environmental Medicine, Eulji University Hospital)
Lee, Sang-Yun (Department of Occupational & Environmental Medicine, School of Public Health, Seoul National University)
Oh, Jang-Gyun (Department of Occupational & Environmental Medicine, Eulji University Hospital)
Publication Information
Journal of Preventive Medicine and Public Health / v.40, no.5, 2007 , pp. 397-403 More about this Journal
Abstract
Objectives: The prevalence of metabolic syndrome has recently increased, Payments from the Korea Labor Welfare Corporation for compensation for mortality in workers caused by cardiovascular and cerebrovascular diseases have also increased in Korea in recent years. The association of metabolic syndrome and cardiocerebrovascular disease has been investigated by several researchers in recent studies, This study was conducted in an attempt to characterize the relationship between metabolic syndrome and Korean cardiocerebrovascular disease risk assessment, and to provide basic data to group health practices for the prevention of cardiocerebrovascular disease. Methods: Health examinations were previously conducted for 1526 male researchers at a private laboratory. The prevalence by age and the odds ratio of metabolic syndrome scores into the "cardiocerebrovascular risk group" (sum of low, intermediate, and high risk groups) of the Korean cardiocerebrovascular disease risk assessment were assessed, in an effort to elucidate the associations between metabolic syndrome and cardiocere brovascular disease risk assessment. Results: The prevalence of metabolic syndrome and inclusion in the cardiocerebrovascular risk group was 11,7% and 22.1% respectively. The severity of metabolic syndrome and cardiocerebrovascular risk assessment showed that individuals in their 40's and 50's were at higher risk than those in their 30's (p<0,001). The age-adjusted odds ratio of metabolic syndrome to cardiocere brovascular risk group inclusion was 5.6. Conclusions: An active prevention program for cardiocerebrovascular disease needs to begin in the 40's, as the prevalence of metabolic syndrome and the risk group of cardiocerebrovascular risk assessment peak in the 40's age group. The odds ratio between metabolic syndrome and the cardiocerebrovascular risk group was high, which indicates that metabolic syndrome scores should be utilized as guidelines during the consultation and behavioral modification program for the workplace prevention of cardiocerebrovascular diseases in group health practices.
Keywords
Obesity; Metabolic syndrome X; Cardiovascular disease; Cerebrovascular disorders;
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Times Cited By KSCI : 6  (Citation Analysis)
Times Cited By SCOPUS : 2
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1 Lim YL, Hwang SW, Sim HJ, Oh EH, Jang YS, Cho BR. The prevalence and risk factor analysis of metabolic syndrome by ATP III diagnostic criteria. J Korean Acad Fam Med 2003; 24(2): 135-143 (Korean)
2 NHLBI (National Heart Lung and Blood Institute). Framingham heart study. [cited 2007 Jun 31]. Available from: URL:http://www.nhlbi. nih.gov/about/framingham/index.html
3 Braunwald E, Zipes D, Libby P. Heart Disease. 6th ed. Philadelphia: W.B. Saunders company; 2001. p. 2133-2142
4 Gami AS, Witt BJ, Howard DE, Erwin Pl, Gami LA, Somers VK, Montori VM. Metabolic syndrome and risk of incident cardiovascular events and death: A systematic review and meta-analysis of longitudinal studies. J Am Coll Cardiol 2007; 49(4): 403-414   DOI   ScienceOn
5 Kolovou GD, Anagnostopoulou KK, Cokkinos DV. Pathophysiology of dyslipidaemia in the metabolic syndrome. Postgrad Med J 2005; 81(956): 358-366   DOI   ScienceOn
6 Sobhanjan S, Mithun D, Barun M, Chandra SC, PM. P. Prevalence of metabolic syndrome in two tribal populations of the sub-Himalayan region of India: Ethnic and rural-urban differences. Am J Hum Biol 2005; 17(6): 814-817   DOI   ScienceOn
7 Brindle P, Emberson J, Lampe F, Walker M, Whincup P, Fahey T, Ebrahim S. Predictive accuracy of the Framingham coronary risk score in British men: Prospective cohort study. BMJ 2003; 327(7426): 1267-1273   DOI   ScienceOn
8 Choi SH, Kim DJ, Lee KE, Kim YM, Song YD, Kim HD, Ahn CW, Cha BS, Huh GB, Lee HC. Cut off value of waist circumference for metabolic syndrome patients in Korean adult population. Korean J Obes 2004; 13(1): 53-60 (Korean)
9 Son MA. The relationship of social class and health behaviors with morbidity in Korea. Korean J Prev Med 2002; 35(1): 57-64 (Korean)
10 KDI (Korea Development Institute). Statistics of Industrial Hazard 1999. [cited 2007 Feb 1]. Available from: URL:http://epic.kdi.re.kr (Korean)
11 NCEP-ATPIII (National Cholesterol Education Program- Adult Treatment Panel III). Third report of the expert panel on detection, evaluation, and treatment of high blood cholesterol in adults. [cited 2007 Feb 1]. Available from: URL: http://www.nhlbi.nih.gov/
12 Jeong BG, Moon OR, Kim NS, Kang JH, Yoon TH, Lee SY, Lee SJ. Socioeconomic costs of obesity for Korean adults. Korean J Prev Med 2002; 35(1): 1-12 (Korean)   DOI   ScienceOn
13 McNeill AM, Rosamond WD, Girman CJ, Golden SH, Schmidt MI, East HE, Ballantyne CM, Heiss G. The metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities study. Diabetes Care 2005; 28(2): 385-390   DOI   ScienceOn
14 Pack KW, Hong YM. Health behavior factors affecting waist circumference as an indicator of abdominal obesity. J Prev Med Pub Health 2006; 39(1): 59-66 (Korean)   과학기술학회마을
15 Cha YS, Khang YH, Lee MS, Kang W, Jeon SH, Kim KL, Lee SI. Cost-effectiveness analysis of a hyperlipidemia mass screening program in Korea. Korean J Prev Med 2002; 35(2): 99-106 (Korean)
16 Fisher NDL, Williams GH. Hypertensive vascular disease. In: Kasper DL, Braunwald E, Fauci A, Hauser S, Longo D, Jameson JL, editors. Harrison's Principles of Internal Medicine. 16th ed. New York: McGraw-Hill; 2004. p.1463-1480
17 Bath P, Chalmers J, Powers W, Beilin L, Davis S, Lenfant C, Mancia G, Neal B, Whitworth J, Zanchetti A. International Society of Hypertension (ISH): Statement on the management of blood pressure in acute stroke. J Hypertens 2003; 21(4): 665-672   DOI   PUBMED   ScienceOn
18 Kwon HM, Kim BJ, Lee SH, Choi SH, Oh BH, Yoon BW. Metabolic syndrome as an independent risk factor of silent brain infarction in healthy people. Stroke 2006; 37(2): 466-470   DOI   ScienceOn
19 Alberti K, Zimmet P. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 1998; 15(7): 539-553   DOI   ScienceOn
20 Hu G, Qiao Q, Tuomilehto J, Balkau B, Borch-Johnsen K, Pyorala K. Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med 2004; 164(10): 1066-1076   DOI   PUBMED   ScienceOn
21 Wilson PW, D' Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation 1998; 97(18): 1837-1847   DOI   PUBMED   ScienceOn
22 Liu J, Hong Y, D'Agostino Sr. RB, Wu Z, Wang W, Sun J, Wilson P. WF, Kannel WB, Zhao D. Predictive value for the Chinese population of the Framingham CHD risk assessment tool compared with the Chinese multi-provincial cohort study. JAMA 2004; 291(21): 2591-2599   DOI   ScienceOn
23 Department of Statistics (Korean Statistical Information System, Department of Statistics). The Mortality causal comparison 2004. [cited 2007 Feb 1]. Available from: URL:http:// www.nso.go.kr(Korean)
24 NIH(National Institute of Health). Estimating coronary heart disease (CHD) risk using Framingham heart study prediction score sheets. [cited 2007 Jun 31]. Available from: URL:http://www.nhlbi.nih.gov/about/framingham/riskabs.htm
25 Park JS, Park HD, Yoon JW, Jung CH, Lee WY, Kim SW. Prevalence of the metabolic syndrome as defined by NCEP-ATPIII among the urban Korean population. Korean J Med 2002; 63(3): 290-298 (Korean)
26 Jaber LA, Brown MB, Hammad A, Zhu Q, Herman WH. The prevalence of the metabolic syndrome among Arab Americans. Diabetes Care 2004; 27(1): 234-238   DOI   ScienceOn
27 Ginnan CJ, Rhodes T, Mercuri M, Pyorala K, Kjekshus J, Pedersen T, Beere P, Gotto A, Clearfield M. The metabolic syndrome and risk of major coronary events in the scandinavian simvastatin survivalstudy (4s) and the air force/Texas coronary atherosclerosis prevention study (AFCAPS/TEXCAPS). Am J Cardiol 2004; 93(2): 136-141   DOI   ScienceOn
28 Lee HJ, Kwon HS, Park YM, Chun HN, Choi YH, Ko SH, Lee JM, Yoon KH, Cha BY, Lee WC, Lee KW, Son HY, Kang SK, Ahn MS, Kang JM, Kim DS. Waist circumference as a risk factor for metabolic syndrome in Korean adult: Evaluation from 5 different criteria of metabolic syndrome. J Kor Diabetes Assoc 2005; 29(1): 48-56 (Korean)
29 Senteri A, Najjar SS, Morrell CH, Lakatta EG. The metabolic syndrome in older individuals: Prevalence and prediction of cardiovascular events: The cardiovascular health study. Diabetes Care 2005; 28(4): 882-887   DOI   ScienceOn
30 Jang JP. A study of cerebrovascular disease evaluation in group health practice [dissertation]. Seoul: Seoul National Univ; 2006 (Korean)
31 Ford ES. Prevalence of the metabolic syndrome defined by the International Diabetes Federation among adults in the U.S. Diabetes Care 2005; 28(11): 2745-2749   DOI   PUBMED   ScienceOn
32 KIHSA (Korea Institute of Health and Social Affair). Korea National Health and Nutrition Survey. [cited 2007 Feb 1]. Available from: URL:http://www.kihasa.re.kr/html/jsp/
33 Lim S, Lee EJ, Koo BK, Cho SI, Park KS, Jang HC, Kim SY, Lee HK. Increasing trends of metabolic syndrome in Korea: Based on Korean national health and nutrition examination surveys. J Korean Diabetes Assoc 2005; 29(5): 432-439 (Korean)
34 Walling A. New Sheffield table for assessing coronary risks. [cited 2007 Jun 31 ]. Available from: URL:http://www.aafp.org/afp/2000090l/tips/9.html
35 KOSHA (Korean Safety and Health Affair). Risk assessment for the prevention of cardiocerebrovascular disease at workplace (KOSHA Code H-11-2004). [cited 2007 Feb 1]. Available from: URL:http://www.kosha.net (Korean)
36 Antipatis VJ, Gill TP. Obesity as a Global Problem. In: Bjomtorp P. Editors. International Textbook of Obesity. West Sussex: John Wiley & Sons, Ltd.; 2001. p. 1-29