Jinkyung Park; Sanghui Kweon; Yangha Kim; Myoung-Jin Jang; Kyungwon Oh

doi:10.5720/kjcn.2012.17.5.664

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Dietary Behaviors Related to Metabolic Syndrome in Korean Adults: Jinkyung Park, Sanghui Kweon, Yangha Kim, Myoung-Jin Jang, Kyungwon Oh; Korean Journal of Community Nutrition 2012;17(5):664-675.
DOI: https://doi.org/10.5720/kjcn.2012.17.5.664
Published online: October 31, 2012

Division of Health and Nutrition Survey, Center for Disease Prevention, Korea Centers for Disease Control and Prevention, Osong, Korea.

Corresponding author: Kyungwon Oh, Division of Health and Nutrition Survey, Center for Disease Prevention, Korea Centers for Disease Control and Prevention, Osong Health Technology/Administration Complex, 187, Osong-sengmyung-2-ro, Osong-eup, Cheongwon-gun, Chungcheongbuk-do 363-951, Korea. Tel: (043) 719-7460, Fax: (043) 719-7527, kwoh27@korea.kr

• Received: May 29, 2012 • Revised: August 3, 2012 • Accepted: September 5, 2012

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Abstract
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Abstract

This study was conducted to investigate the cross-sectional associations between dietary factors and the risk of metabolic syndrome (MetS) in 12,755 subjects (males 5,146, females 7,609) aged 19 years or above using data from the 4th (2007-2009) Korea National Health and Nutrition Examination Survey (KNHANES). The prevalence of MetS in Korean adults was 23.6% (males 26.1%, females 20.9%) with the criteria for modified National Cholesterol Education Program Adult Treatment Panel III. While males had a higher prevalence of abdominal obesity, hyperglycemia, hypertriglyceridemia, and high blood pressure than females, the prevalence of low HDL-cholesterol level was higher in females than in males. Among dietary guidelines, the response of 'yes' for asking practice of 'avoiding salty foods', and 'eating moderately and increasing physical activity for healthy weight' were significantly associated with the decreased risk of MetS in both males and in females. Especially, the risk of MetS was significantly lower in the subjects that responded the practice of all items of Korean Dietary Guidelines. Significantly negative associations with MetS were also found in the responding for practice of 'limiting consumption of alcoholic beverages' in males, and taking dietary supplements in females. Skipping breakfast was positively associated with the risk of MetS. In conclusion, dietary behaviors such as having breakfast, practice of dietary guidelines, and food consumption in moderation could modify the prevalence of MetS, and our findings could be useful for establishing guidelines for preventing MetS.
Keywords: Korea National Health and Nutrition Examination Survey; metabolic syndrome; dietary behaviors

REFERENCES

1. Ahn SH, Son SM, Park JK. Health and nutritional factors related to hypertension of subjects aged over 50 in high income class - based on the 2005 Korea National Health and Nutrition Examination Survey. J Korean Diet Assoc. 2009; 15(3): 311-327.
2. Alkerwi A, Boutsen M, Vaillant M, Barre J, Lair ML, Albert A, Guillaume M, Dramaix M. Alcohol consumption and the prevalence of metabolic syndrome: a meta-analysis of observational studies. Atherosclerosis. 2009; 204(2): 624-635.Article PubMed
3. American Heart Association. Tips for eating out and Tips for dining out. 2010; cited 2010 September. Available from http://www.heart.org/HEARTORG/Conditions/Tips-for-Eating-Out_UCM_308333_Article.jsp and http://www.heart.org/HEARTORG/GettingHealthy/NutritionCenter/DiningOut/Dining-Out_UCM_304183_SubHomePage.jsp.
4. Arai H, Yamamoto A, Matsuzawa Y, Saito Y, Yamada N, Oikawa S, Mabuchi H, Teramoto T, Sasaki J, Nakaya N, Itakura H, Ishikawa Y, Ouchi Y, Horibe H, Shirahashi N, Kita T. Prevalence of metabolic syndrome in the general Japanese population in 2000. J Atheroscler Thromb. 2006; 13(4): 202-208.Article PubMed
5. Babor TF, Higgins-Biddle JC, Sunders JB, Monteiro MG. AUDIT : The Alcohol Use Disorders Identification Test Guidelines for Use in Primary Care. 2001; Geneva: World Health Organization; 1-40.
6. Baik I, Abbott RD, Curb JD, Shin C. Intake of fish and n-3 fatty acids and future risk of metabolic syndrome. J Am Diet Assoc. 2010; 110(7): 1018-1026.Article PubMed
7. Baik I, Shin C. Prospective study of alcohol consumption and metabolic syndrome. Am J Clin Nutr. 2008; 87(5): 1455-1463.Article PubMed
8. Baraona E, Lieber CS. Effects of ethanol on lipid metabolism. J Lipid Res. 1979; 20(3): 289-315.Article PubMed
9. Bessembinders K, Wielders J, van de Wiel A. Severe hypertriglyceridemia influenced by alcohol (SHIBA). Alcohol Alcohol. 2011; 46(2): 113-116.Article PubMed
10. Carpentier YA, Portois L, Malaisse WJ. n-3 fatty acids and the metabolic syndrome. Am J Clin Nutr. 2006; 83: 6 Suppl. 1499S-1504S.Article PubMed
11. Chung HK, Kang JH, Shin MJ. Assessment for nutrient intakes in Korean women according to obesity and metabolic syndrome. Korean J Community Nutr. 2010; 15(5): 694-703.
12. Czernichow S, Vergnaud AC, Galan P, Arnaud J, Favier A, Faure H, Huxley R, Hercberg S, Ahluwalia N. Effects of long-term antioxidant supplementation and association of serum antioxidant concentrations with risk of metabolic syndrome in adults. Am J Clin Nutr. 2009; 90(2): 329-335.Article PubMed
13. Ebrahimi M, Ghayour-Mobarhan M, Rezaiean S, Hoseini M, Parizade SM, Farhoudi F, Hosseininezhad SJ, Tavallaei S, Vejdani A, Azimi-Nezhad M, Shakeri MT, Rad MA, Mobarra N, Kazemi-Bajestani SM, Ferns GA. Omega-3 fatty acid supplements improve the cardiovascular risk profile of subjects with metabolic syndrome, including markers of inflammation and auto-immunity. Acta Cardiol. 2009; 64(3): 321-327.Article PubMed
14. Ervin RB. Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity, and body mass index: United States, 2003-2006. Natl Health Stat Report. 2009; (13): 1-7.
15. Fan AZ, Russell M, Dorn J, Freudenheim JL, Nochajski T, Hovey K, Trevisan M. Lifetime alcohol drinking pattern is related to the prevalence of metabolic syndrome. The Western New York Health Study (WNYHS). Eur J Epidemiol. 2006; 21(2): 129-138.Article PubMed PDF
16. Fogli-Cawley JJ, Dwyer JT, Saltzman E, McCullough ML, Troy LM, Meigs JB, Jacques PF. The 2005 Dietary Guidelines for Americans and risk of the metabolic syndrome. Am J Clin Nutr. 2007; 86(4): 1193-1201.Article PubMed
17. Freiberg MS, Cabral HJ, Heeren TC, Vasan RS, Curtis Ellison R. Alcohol consumption and the prevalence of the Metabolic syndrome in the US.: a cross-sectional analysis of data from the Third National Health and Nutrition Examination Survey. Diabetes Care. 2004; 27(12): 2954-2959.PubMed
18. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F. Diagnosis and management of the metabolic syndrome. An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Executive summary. Cardiol Rev. 2005; 13(6): 322-327.PubMed
19. Hoffmann IS, Cubeddu LX. Salt and the metabolic syndrome. Nutr Metab Cardiovasc Dis. 2009; 19(2): 123-128.Article PubMed
20. Hwang YC, Jee JH, Oh EY, Choi YH, Lee MS, Kim KW, Lee MK. Metabolic syndrome as a predictor of cardiovascular diseases and type 2 diabetes in Koreans. Int J Cardiol. 2009; 134(3): 313-321.Article PubMed
21. Jung HJ, Song WO, Paik HY, Joung H. Dietary characteristics of macronutrient intake and the status of metabolic syndrome among Koreans. Korean J Nutr. 2011; 44(2): 119-130.Article
22. Katano S, Nakamura Y, Nakamura A, Murakami Y, Tanaka T, Nakagawa H, Takebayashi T, Yamato H, Okayama A, Miura K, Okamura T, Ueshima H. HIPOP-OHP Research Group. Relationship among physical activity, smoking, drinking and clustering of the metabolic syndrome diagnostic components. J Atheroscler Thromb. 2010; 17(6): 644-650.Article PubMed
23. Kim J, Chu SK, Kim K, Moon JR. Alcohol us behaviors and risk of metabolic syndrome in South Korean middle-aged men. BMC Public Health. 2011; 11: 489.PubMed PMC
24. Korea Centers for Disease Control and Prevention. The Report of the Fourth (2010) Korea National Health and Nutrition Examination Survey (KNHANES IV). 2009; Chungbuk, Korea: Ministry of Health and Welfare; 233.
25. Lee MY, Kim MY, Kim SY, Kim JH, Kim BH, Shin JY, Shin YG, Yun JH, Ryu SY, Lee TY, Koh SB, Chung CH. Association between alcohol intake amount and prevalence of metabolic syndrome in Korean rural male population. Diabetes Res Clin Pract. 2010; 88(2): 196-202.Article PubMed
26. Lutsey PL, Steffen LM, Stevens J. Dietary intake and the development of the metabolic syndrome: the Atherosclerosis Risk in Communities study. Circulation. 2008; 117(6): 754-761.Article PubMed
27. McNaughton SA, Mishra GD, Brunner EJ. Food patterns associated with blood lipids are predictive of coronary heart disease: the Whitehall II study. Br J Nutr. 2009; 102(4): 619-624.Article PubMed PMC
28. Melanson EL, Astrup A, Donahoo WT. The relationship between dietary fat and fatty acid intake and body weight, diabetes, and the metabolic syndrome. Ann Nutr Metab. 2009; 55(1-3): 229-243.Article PubMed
29. Millen BE, Pencina MJ, Kimokoti RW, Zhu L, Meigs JB, Ordovas JM, D'Agostino RB. Nutritional risk and the metabolic syndrome in women: opportunities for preventive intervention from the Framingham Nutrition Study. Am J Clin Nutr. 2006; 84(2): 434-441.Article PubMed
30. Ministry of Health and Welfare. The third Health Plan (2011-2020). 2011; 18-19.
31. Moon HK, Kong JE. Assessment of nutrient intake for middle aged with and without metabolic syndrome using 2005 and 2007 Korean National Health and Nutrition Survey. Korean J Nutr. 2010; 43(1): 69-78.Article
32. Moon HK, Park JH. Comparative analysis and evaluation of dietary intake between with and without hypertension using 2001 Korea National Heath and Nutrition Examination Survey (KNHANES). Korean J Nutr. 2007; 40(4): 347-361.
33. Muzio F, Mondazzi L, Harris WS, Sommariva D, Branchi A. Effects of moderate variations in the macronutrient content of the diet on cardiovascular disease risk factors in obese patients with the metabolic syndrome. Am J Clin Nutr. 2007; 86(4): 946-951.Article PubMed
34. National Institute on Alcohol Abuse and Alcoholism. Alcohol Alert. 2000; cited 2000 October. US Department of Health and Human Services, National Institutes of Health; Available from http://pubs.niaaa.nih.gov/publications/aa16.htm.
35. Papathanasopoulos A, Camilleri M. Dietary fiber supplements: effects in obesity and metabolic syndrome and relationship to gastrointestinal functions. Gastroenterology. 2010; 138(1): 65-72.Article PubMed
36. Park SH, Lee KS, Park HY. Dietary carbohydrate intake is associated with cardiovascular disease risk in Korean: analysis of the third Korea National Health and Nutrition Examination Survey (KNHANES III). Int J Cardiol. 2010; 139(3): 234-240.Article PubMed
37. Park YS, Son SM, Lim WJ, Kim SB, Chung YS. Comparison of dietary behaviors related to sodium intake by gender and age. Korean J Community Nutr. 2008; 13(1): 1-12.
38. Rimm EB, Williams P, Fosher K, Criqui M, Stampfer MJ. Moderate alcohol intake and lower risk of coronary heart disease: meta-analysis of effects on lipids and haemostatic factors. BMJ. 1999; 319(7224): 1523-1528.Article PubMed PMC
39. Sakata K, Matumura Y, Yoshimura N, Tamaki J, Hashimoto T, Oguri S, Okayama A, Yanagawa H. Relationship between skipping breakfast and cardiovascular disease risk factors in the national nutrition survey data. Nihon Koshu Eisei Zasshi. 2001; 48(10): 837-841.PubMed
40. Shin A, Lim SY, Sung J, Shin HR, Kim J. Dietary intake, eating habits, and metabolic syndrome in Korean men. J Am Diet Assoc. 2009; 109(4): 633-640.Article PubMed
41. Smith KJ, Gall SL, McNaughton SA, Blizzard L, Dwyer T, Venn AJ. Skipping breakfast: longitudinal associations with cardiometabolic risk factors in the childhood determinants of Adult Health Study. Am J Clin Nutr. 2010; 92(6): 1316-1325.Article PubMed
42. Song Y, Joung H. A traditional Korean dietary pattern and metabolic syndrome abnormalities. Nutr Metab Cardiovasc Dis. 2011; 22(5): 456-462.Article PubMed
43. Statistics Korea. Cause of Death Statistics. 2011; cited 2011 September 8. Available from http://kostat.go.kr/portal/korea/kor_nw/2/1/index.board?bmode=read&bSeq=&aSeq=250282&pageNo=1&rowNum=10&navCount=10&currPg=&sTarget=title&sTxt=%EC%82%AC%EB%A7%9D.
44. The Korean Society for the Study of Obesity. The criteria of Body Mass Index and Waist Circumference for obesity and central adiposity in Koreans. 2005; Seoul, Korea.
45. U.S. Department of Agriculture, U.S. Department of Health & Human Services. 2010; cited 2010 December. available from www.dietaryguidelines.gov.
46. World Health Organization. Review and updating of current WHO recommendations on salt/sodium and potassium consumption. 2011; Geneva, Switzerland: 1-8.
47. Yoo HJ, Kim YH. A study on the characteristics of nutrient intake in metabolic syndrome subjects. Korean J Nutr. 2008; 41(6): 510-517.
48. Yoon YS, Oh SW, Baik HW, Park HS, Kim WY. Alcohol consumption and the metabolic syndrome in Korean adults: the 1998 Korean National Health and Nutrition Examination Survey. Am J Clin Nutr. 2004; 80(1): 217-224.Article PubMed
49. Zhu S, St-Onge MP, Heshka S, Heymsfield SB. Lifestyle behaviors associated with lower risk of having the metabolic syndrome. Metabolism. 2004; 53(11): 1503-1511.Article PubMed
50. Zuo HJ, Yao CH, Hu YS, Kong LZ. Relations between smoking, alcohol intake, physical activity, sleeping hours and the metabolic syndrome in Chinese male aged 18-45 years old. Zhonghua Liu Xing Bing Xue Za Zhi. 2011; 32(3): 235-238.PubMed

Table 1

Socio-demographic and lifestyle-related characteristics of Korean adults

1) N (%)

2) Household income level: household equivalent income, monthly household income divided by square root of the number of household member, was categorized to quartile groups within sex and 5-year age group

3) Current smoker: proportion of people who have smoked at least 100 cigarettes in their lifetime and are still smoking

4) Drinking: subjects divided by alcohol use disorders identification test score; normal drinking (≤ 7), abnormal drinking (8 - 15), abuse alcohol (16 - 19), depending on alcohol (≥ 20)

5) More than moderate physical activity: proportion of people who engaged in 'vigorous intensity' activity for at least 20 minutes a day on at least 3 days in the past 7 days or 'moderate intensity' activity for at least 30 minutes a day on at least 5 days in the past 7 days

Table 2

Prevalence of the metabolic syndrome and its components in Korean adults

1) Metabolic syndrome was defined by meeting ≥ 3 of the listed criteria

1. Abdominal obesity: waist circumference ≥ 90 cm in men, ≥ 85 cm in women

2. Hyperglycemia: fasting plasma glucose ≥ 100 mg/dl or drug treatment(the use of oral antihyperglycemic agents or insulin

3. Hypertriglyceridemia: Blood triglyceride ≥ 150 mg/dl

4. Low HDL-cholesterol: Blood HDL-cholesterol < 40 mg/dl in men, < 50 mg/dl in women

5. High blood pressure: Blood pressure systolic ≥ 130 mmHg or diastolic ≥ 85 mmHg or drug treatment(the use of antihypertensive agents

2) % (SE)

^**: p < 0.001, ^***: p < 0.0001 show the sex difference in the logistic regression model adjusting for age groups

Table 3-1

Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by dietary behaviors in Korean males

1) Subjects having skipped breakfast (having breakfast 'No'): subjects who had skipped breakfast before 1 day or 2 days

2) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, and physical activity

3) Subjects having taken dietary supplement: subjects who responded had taken dietary supplement continuously more than 2 weeks within the recent one year

^*: p < 0.05 shows significant ORs

Table 3-2

Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by dietary behaviors in Korean females (continued)

1) Subjects having skipped breakfast (having breakfast 'No'): subjects who had skipped breakfast before 1 day or 2 days

2) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, and physical activity

3) Subjects having taken dietary supplement: subjects who responded had taken dietary supplement continuously more than 2 weeks within the recent one year

^*: p < 0.05 shows significant ORs

Table 4-1

Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by the practice of Korean Dietary Guidelines in Korean males

1) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, physical activity

^*: p < 0.05 shows significant ORs

Table 4-2

Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by the practice of Korean Dietary Guidelines in Korean females (continued)

1) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, physical activity

^*: p < 0.05 shows significant ORs

Figure & Data

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Dietary Behaviors Related to Metabolic Syndrome in Korean Adults

Korean J Community Nutr. 2012;17(5):664-675. Published online October 31, 2012

DOI: https://doi.org/10.5720/kjcn.2012.17.5.664

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Dietary Behaviors Related to Metabolic Syndrome in Korean Adults

Table 1

Socio-demographic and lifestyle-related characteristics of Korean adults

1) N (%)

3) Current smoker: proportion of people who have smoked at least 100 cigarettes in their lifetime and are still smoking

4) Drinking: subjects divided by alcohol use disorders identification test score; normal drinking (≤ 7), abnormal drinking (8 - 15), abuse alcohol (16 - 19), depending on alcohol (≥ 20)

Table 2

Prevalence of the metabolic syndrome and its components in Korean adults

1) Metabolic syndrome was defined by meeting ≥ 3 of the listed criteria

1. Abdominal obesity: waist circumference ≥ 90 cm in men, ≥ 85 cm in women

2. Hyperglycemia: fasting plasma glucose ≥ 100 mg/dl or drug treatment(the use of oral antihyperglycemic agents or insulin

3. Hypertriglyceridemia: Blood triglyceride ≥ 150 mg/dl

4. Low HDL-cholesterol: Blood HDL-cholesterol < 40 mg/dl in men, < 50 mg/dl in women

5. High blood pressure: Blood pressure systolic ≥ 130 mmHg or diastolic ≥ 85 mmHg or drug treatment(the use of antihypertensive agents

2) % (SE)

^**: p < 0.001, ^***: p < 0.0001 show the sex difference in the logistic regression model adjusting for age groups

Table 3-1

Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by dietary behaviors in Korean males

1) Subjects having skipped breakfast (having breakfast 'No'): subjects who had skipped breakfast before 1 day or 2 days

2) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, and physical activity

3) Subjects having taken dietary supplement: subjects who responded had taken dietary supplement continuously more than 2 weeks within the recent one year

^*: p < 0.05 shows significant ORs

Table 3-2

Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by dietary behaviors in Korean females (continued)

1) Subjects having skipped breakfast (having breakfast 'No'): subjects who had skipped breakfast before 1 day or 2 days

2) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, and physical activity

3) Subjects having taken dietary supplement: subjects who responded had taken dietary supplement continuously more than 2 weeks within the recent one year

^*: p < 0.05 shows significant ORs

Table 4-1

Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by the practice of Korean Dietary Guidelines in Korean males

1) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, physical activity

^*: p < 0.05 shows significant ORs

Table 4-2

Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by the practice of Korean Dietary Guidelines in Korean females (continued)

1) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, physical activity

^*: p < 0.05 shows significant ORs

Table 1 Socio-demographic and lifestyle-related characteristics of Korean adults

1) N (%)

3) Current smoker: proportion of people who have smoked at least 100 cigarettes in their lifetime and are still smoking

4) Drinking: subjects divided by alcohol use disorders identification test score; normal drinking (≤ 7), abnormal drinking (8 - 15), abuse alcohol (16 - 19), depending on alcohol (≥ 20)

Table 2 Prevalence of the metabolic syndrome and its components in Korean adults

1) Metabolic syndrome was defined by meeting ≥ 3 of the listed criteria

1. Abdominal obesity: waist circumference ≥ 90 cm in men, ≥ 85 cm in women

2. Hyperglycemia: fasting plasma glucose ≥ 100 mg/dl or drug treatment(the use of oral antihyperglycemic agents or insulin

3. Hypertriglyceridemia: Blood triglyceride ≥ 150 mg/dl

4. Low HDL-cholesterol: Blood HDL-cholesterol < 40 mg/dl in men, < 50 mg/dl in women

5. High blood pressure: Blood pressure systolic ≥ 130 mmHg or diastolic ≥ 85 mmHg or drug treatment(the use of antihypertensive agents

2) % (SE)

^**: p < 0.001, ^***: p < 0.0001 show the sex difference in the logistic regression model adjusting for age groups

Table 3-1 Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by dietary behaviors in Korean males

1) Subjects having skipped breakfast (having breakfast 'No'): subjects who had skipped breakfast before 1 day or 2 days

2) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, and physical activity

3) Subjects having taken dietary supplement: subjects who responded had taken dietary supplement continuously more than 2 weeks within the recent one year

^*: p < 0.05 shows significant ORs

Table 3-2 Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by dietary behaviors in Korean females (continued)

1) Subjects having skipped breakfast (having breakfast 'No'): subjects who had skipped breakfast before 1 day or 2 days

2) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, and physical activity

3) Subjects having taken dietary supplement: subjects who responded had taken dietary supplement continuously more than 2 weeks within the recent one year

^*: p < 0.05 shows significant ORs

Table 4-1 Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by the practice of Korean Dietary Guidelines in Korean males

1) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, physical activity

^*: p < 0.05 shows significant ORs

Table 4-2 Odds ratios (ORs) and 95% confidence intervals (CIs) for the metabolic syndrome and its components by the practice of Korean Dietary Guidelines in Korean females (continued)

1) Values are ORs (95% CI), adjusted for age, income level, smoking and drinking status, physical activity