Association of High-Risk Drinking with Metabolic Syndrome and Its Components in Elderly Korean Men: The Korean National Health and Nutrition Examination Survey 2010–2012
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Background: Previous studies have examined the association between alcohol consumption and metabolic syndrome(MetS) in adults, but studies in the elderly are lacking. We examined the relationship between high-risk alcoholconsumption and MetS in elderly Korean men using the Alcohol Use Disorders Identification Test (AUDIT)questionnaire from the 2010–2012 Korean National Health and Nutrition Examination Survey. Methods: Among 25,534 subjects, 2,807 were men >60 years of age; after exclusions, we included 2,088 men in thefinal analysis. We categorized the study participants into three groups according to AUDIT score: low risk (0–7), intermediaterisk (8–14), and high risk (≥15 points). Results: Among the study population, 17.0% of the men were high-risk drinkers, who had the highest mean waistcircumference, systolic and diastolic blood pressure (BP), fasting plasma glucose (FPG), and triglyceride (TG) levels. The overall prevalence of MetS was 41.9% in the elderly men, and it was significantly higher in the group withhigh (48.3%) versus low (31.9%) AUDIT scores. The prevalence of MetS components (elevated BP, high FPG, highTG, and low high-density lipoprotein cholesterol) was associated with a high AUDIT score. The odds ratios (95%confidence interval) of the high-risk group for MetS, elevated BP, and high TG were 1.40 (1.03–1.89), 1.82 (1.28–2.60), and 1.77 (1.30–2.41) after adjustment for confounding variables. Conclusion: AUDIT score was correlated with most MetS components in elderly Korean men.
Abstract
Background: Previous studies have examined the association between alcohol consumption and metabolic syndrome(MetS) in adults, but studies in the elderly are lacking. We examined the relationship between high-risk alcoholconsumption and MetS in elderly Korean men using the Alcohol Use Disorders Identification Test (AUDIT)questionnaire from the 2010–2012 Korean National Health and Nutrition Examination Survey. Methods: Among 25,534 subjects, 2,807 were men >60 years of age; after exclusions, we included 2,088 men in thefinal analysis. We categorized the study participants into three groups according to AUDIT score: low risk (0–7), intermediaterisk (8–14), and high risk (≥15 points). Results: Among the study population, 17.0% of the men were high-risk drinkers, who had the highest mean waistcircumference, systolic and diastolic blood pressure (BP), fasting plasma glucose (FPG), and triglyceride (TG) levels. The overall prevalence of MetS was 41.9% in the elderly men, and it was significantly higher in the group withhigh (48.3%) versus low (31.9%) AUDIT scores. The prevalence of MetS components (elevated BP, high FPG, highTG, and low high-density lipoprotein cholesterol) was associated with a high AUDIT score. The odds ratios (95%confidence interval) of the high-risk group for MetS, elevated BP, and high TG were 1.40 (1.03–1.89), 1.82 (1.28–2.60), and 1.77 (1.30–2.41) after adjustment for confounding variables. Conclusion: AUDIT score was correlated with most MetS components in elderly Korean men.
참고문헌 (30)
- Eckel RH, "The metabolic syndrome", Lancet, 365, pp.1415~1428 (2005)[DOI]
- Ford ES, "Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence", Diabetes Care, 28, pp.1769~1778 (2005)[DOI]
- Gami AS, "Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies", J Am Coll Cardiol, 49, pp.403~414 (2007)[DOI]
- Isomaa B, "Cardiovascular morbidity and mortality associated with the metabolic syndrome", Diabetes Care, 24, pp.683~689 (2001)[DOI]
- Valantine H, "Metabolic abnormalities characteristic of dysmetabolic syndrome predict the development of transplant coronary artery disease: a prospective study", Circulation, 103, pp.2144~2152 (2001)[DOI]
- Trevisan M, "Syndrome X and mortality: a population-based study: Risk Factor and Life Expectancy Research Group", Am J Epidemiol, 148, pp.958~966 (1998)[DOI]
- Lim S, "Increasing prevalence of metabolic syndrome in Korea: the Korean National Health and Nutrition Examination Survey for 1998-2007", Diabetes Care, 34, pp.1323~1328 (2011)[DOI]
- The Korean Society for Preventive Medicine, "Preventive medicine and public health" (2013), Gyechuk Munwhasa
- [URL]
- Dominguez LJ, "The cardiometabolic syndrome and sarcopenic obesity in older persons", J Cardiometab Syndr, 2, pp.183~189 (2007)[DOI]
- Malyutina S, "Relation between heavy and binge drinking and all-cause and cardiovascular mortality in Novosibirsk, Russia: a prospective cohort study", Lancet, 360, pp.1448~1454 (2002)[DOI]
- Ghaem Maralani H, "Metabolic syndrome and mortality in the elderly: a time-dependent association", Diabetes Res Clin Pract, 99, pp.209~216 (2013)[DOI]
- Loucks EB, "Socioeconomic disparities in metabolic syndrome differ by gender: evidence from NHANES III", Ann Epidemiol, 17, pp.19~26 (2007)
- Park YW, "The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994", Arch Intern Med, 163, pp.427~436 (2003)[DOI]
- McKeown NM, "Carbohydrate nutrition, insulin resistance, and the prevalence of the metabolic syndrome in the Framingham Offspring Cohort", Diabetes Care, 27, pp.538~546 (2004)[DOI]
- Baik I, "Prospective study of alcohol consumption and metabolic syndrome", Am J Clin Nutr, 87, pp.1455~1463 (2008)[DOI]
- Fan JG, "Alcohol consumption and metabolic syndrome among Shanghai adults: a randomized multistage stratified cluster sampling investigation", World J Gastroenterol, 14, pp.2418~2424 (2008)[DOI]
- Skipsey K, "Utility of the AUDIT for identification of hazardous or harmful drinking in drug-dependent patients", Drug Alcohol Depend, 45, pp.157~163 (1997)[DOI]
- Lee KW, "Alcohol-drinking patterns and metabolic syndrome risk: the 2007 Korean National Health and Nutrition Examination Survey", Alcohol, 45, pp.499~505 (2011)[DOI]
- National Cholesterol Education Program (NCEP) Expert Panel on Detection, "Third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report", Circulation, 106, pp.3143~3421 (2002)
- Lee SY, "Appropriate waist circumference cutoff points for central obesity in Korean adults", Diabetes Res Clin Pract, 75, pp.72~80 (2007)[DOI]
- Babor TF, "AUDIT: the Alcohol Use Disorders Identification Test: guidelines for use in primary health care" (2001), World Health Organization
- 오지연, "한국어판 단문형 국제신처활동설문(IPAQ)의 신뢰도와 타당도", Korean Journal of Family Medicine, 28(7), pp.532~541 (2007), 대한가정의학회
- Guize L, "Metabolic syndrome: prevalence, risk factors and mortality in a French population of 62 000 subjects", Bull Acad Natl Med, 190, pp.685~697 (2006)
- Ford ES, "Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey", JAMA, 287, pp.356~359 (2002)[DOI]
- Yokoyama H, "Effects of excessive ethanol consumption on the diagnosis of the metabolic syndrome using its clinical diagnostic criteria", Intern Med, 46, pp.1345~1352 (2007)[DOI]
- Baliunas DO, "Alcohol as a risk factor for type 2 diabetes: a systematic review and meta-analysis", Diabetes Care, 32, pp.2123~2132 (2009)[DOI]
- Briasoulis A, "Alcohol consumption and the risk of hypertension in men and women: a systematic review and meta-analysis", J Clin Hypertens (Greenwich), 14, pp.792~798 (2012)[DOI]
- Wang Z, "Chronic alcohol consumption disrupted cholesterol homeostasis in rats: down-regulation of low-density lipoprotein receptor and enhancement of cholesterol biosynthesis pathway in the liver", Alcohol Clin Exp Res, 34, pp.471~478 (2010)[DOI]
- Shin MH, "Average volume of alcohol consumed, drinking patterns, and metabolic syndrome in older Korean adults", J Epidemiol, 23, pp.122~131 (2013)