Journal List > Korean J Nutr > v.43(1) > 1043862

Korean J Nutr. 2010 Feb;43(1):69-78. Korean.
Published online February 28, 2010.  https://doi.org/10.4163/kjn.2010.43.1.69
© 2010 The Korean Nutrition Society
Assessment of Nutrient Intake for Middle Aged with and without Metabolic Syndrome Using 2005 and 2007 Korean National Health and Nutrition Survey
Hyun-Kyung Moon, and Jung-Eun Kong
Department of Food Science & Nutrition, Dankook University, Yongin 448-701, Korea.

To whom correspondence should be addressed. (Email: moonhk52@dankook.ac.kr )
Received November 18, 2009; Revised January 25, 2010; Accepted February 03, 2010.

Abstract

The prevalence rate of metabolic syndrome has increased rapidly among the middle-aged and seems to be affected by socioeconomic factors, lifestyles and dietary habits. This research tries to find out the difference in dietary intake between middle-aged with and without metabolic syndrome. Using Korean National Health and Nutrition Survey (KNHANES) in 2005 and 2007, this study investigated 2,382 people (normal: 1,575, disease: 807) in 2005 and 1152 people (normal: 747, disease: 405) in 2007 (between the age of 40 and 64). Analysis was performed to discover the difference in nutrient intakes between people with and without metabolic syndrome. Also differences among people with various socioeconomic factors (such as age, education level, and income level), which can affect nutrient intake, were analyzed. In the nutrient intake people with metabolic syndrome has lower intake in most of nutrients than those of normal group, except carbohydrate. In 2007, normal group had higher intake in most nutrients, except for carbohydrate, sodium, potassium and vitamin A. Carbohydrate: protein: fat (C: P: F) ratio for syndrome group showed higher rate for carbohydrate, than normal group, in 2005, and 2007. Overall, the higher age and income level, the more carbohydrate intake rate is increase in syndrome group. The Quality of each nutrient intake was assessed using NAR (Nutrient adequacy ratio) and MAR (Mean adequacy ratio). According to the MAR, there was significant difference in 2005, 0.83 for normal group and 0.81 for syndrome group but there wasn't any in 2007 (0.81 for normal group, 0.82 for syndrome group). By NAR, in 2005, all nutrient except phosphorus, iron, vitamin A for Normal group higher then those of syndrome group (p < 0.05). In 2007 intake of syndrome group were higher then those normal group in most of nutrient by NAR. For age, education and income, MAR for normal group is higher then that of metabolic syndrome. In conclusion, Quality of nutrient intake in normal group is better then in metabolic syndrome group. Therefore, it is necessary to monitor dietary of intake people with metabolic syndrome, and necessary measures should be taken.

Keywords: metabolic syndrome; nutrient intake; age; education; income

Tables


Table 1
Socioeconomic Chracteristics by normal and metabolic syndrome subject
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Table 2
Comparison of nutrient intake between normal and metabolic syndrome subject
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Table 3
Comparison of C: P: F rate between normal and metabolic syndrome
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Table 4
Comparison of NAR, MAR between normal and metabolic syndrome
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Table 5
Frequency of dietary intake of less than 0.75 of NAR by metabolic syndrome subject
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Notes

This reserch was supported by the reserch fund of Dankook university in 2008.

References
1. 2008 The annual report on the cause of death statistics. Korea National statistical office. [cited 2009 Aug 28].
2. Ministry of Health and Welfare (MOHW). Korea National Health and Nutrition Examination Survey Report (KNHANES III)-Health Examination-. 2005.
3. Sung EJ. The Trend of Chronic Diseases in Korea. J Korean Dairy Technol Sci Assoc 2005;23(2):99–106.
4. Reaven GM. Do high carbohydrate diets prevent the development or attenuate the manifestations (or both) of syndrome X? A viewpoint strongly against. Curr Opin Lipidol 1988;8:23–27.
5. Shin JH, Kang SG, Kom MJ, Hwang YN, Song SW. The Effect of Regular Aerobic Exercise on Health-related Quality of Life Among Metabolic Syndrome Patients. Korean J Obes 2008;17(4):182–187.
6. Dallongeville J, Cottel D, Ferrières J, Arveiler D, Bingham A, Ruidavets JB, Haas B, Ducimetière P, Amouyel P. Household income is associated with the risk of metabolic syndrome in a sex-specific manner. Diabetes Care 2005;28(2):409–415.
7. Wamala SP, Lynch J, Horsten M, Mittleman MA, Schenck-Gustafsson K, Orth-Gomèr K. Education and the metabolic syndrome in women. Diabetes Care 1999;22(12):1999–2003.
8. Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health 1997;18:341–378.
9. Heller RF, Williams H, Sittampalam Y. Social class and ischaemic heart disease: use of the male: female ratio to identify possible occupational hazards. J Epidemiol Community Health 1984;38(3):198–202.
10. Lee KS, Park CY, Meng KH, Bush A, Lee SH, Lee WC, Koo JW, Chung CK. The association of cigarette smoking and alcohol consumption with other cardiovascular risk factors in men from Seoul, Korea. Ann Epidemiol 1998;8(1):31–38.
11. Jung CH, Park JS, Lee WY, Kim SW. Effects of smoking, alcohol, exercise, level of education, and family history on the metabolic syndrome in Korean adults. Korean J Med 2002;63(6):649–659.
12. Dyer AR, Stamler J, Paul O, Berkson DM, Shekelle RB, Lepper MH, McKean H, Lindberg HA, Garside D, Tokich T. Alcohol, cardiovascular risk factors and mortality: the Chicago experience. Circulation 1981;64(3 Pt 2):III 20–III 27.
13. Facchini F, Chen YD, Reaven GM. Light-to-moderate alcohol intake is associated with enhanced insulin sensitivity. Diabetes Care 1994;17(2):115–119.
14. Kim SH, Abbasi F, Lamendola C, Reaven GM. Effect of moderate alcoholic beverage consumption on insulin sensitivity in insulin-resistant, nondiabetic individuals. Metabolism 2009;58(3):387–392.
15. Park YW, ZHu S, Palaniappan L, Heshka S, Carxethon MR, Heymesfild SB. 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 2003;163:427–436.
16. Meredes RC, Stephen S, Catherine ML, Peter LS, James OH, Kiang L. Risk factors for the metabolic syndrome; The Coronary Artery Risk Development in Young Adults (CARDIA) study, 1985-2001. Diabetes Care 2004;27:2707–2715.
17. Hodgson JM, Burke V, Beilin IJ, Puddey IB. Partial substitution of carbohydrate intake with protein from lean red meat lowers blood pressure in hypertension persons. Am J Clin Nutr 2006;83:780–787.
18. Foster GD, Wyatt HO, Hill JO, Mcguckin BG, Brill C, Mohammed BS, Szapary PO, Rader DJ, Edman JS, Klein S. A randomized trial of a low-carbohydrate diet for obesity. N Engl J Med 2003;348:2082–2090.
19. Yoo HJ, Kim YH. A Study on the Characteristics of Nutrient Intake in Metabolic Syndrome Subjects. Korean J Nutr 2008;41(6):510–517.
20. Seon SJ. In: A Study on Prevalence Rate of Metabolic Syndrome and its Association with Lifestyle Behaviors and the Status of Nutrient Intake [dissertation]. Seoul: Konkuk University; 2008.
21. Hoffmann IS, Cubeddu LX. Salt and the metabolic syndrome. Nutr Metab Cardiovasc Dis 2009;19(2):123–128.
22. The Korean Nutrition Society, Dietary Reference intakes for Koreans (KDRIs). Seoul: 2005. pp. 30-31.
23. Park MJ, Yun KE, Lee GE, Cho HJ, Park HS. The Relationship between Socioeconomic Status and Metabolic Syndrome among Korean Adults. Korean J Obes 2006;15(1):10–17.
24. Jam OK, Kim BJ, Lee YA. Cardiovascular Disease Risk according to Socioeconomic Factors among Low-income Midlife Women. J Korean Acad Public Health Nurs 2008;22(1):27–38.
25. Brunner EJ, Marmot MG, Nanchahal K, Shipley MJ, Stansfeld SA, Juneja M, Alberti KG. Social inequality in coronary risk: central obesity and the metabolic syndrome. Evidence from the Whitehall II study. Diabetologia 1997;40(11):1341–1349.
26. Dallongeville J, Cottel D, Ferrières J, Arveiler D, Bingham A, Ruidavets JB, Haas B, Ducimetière P, Amouyel P. Household income is associated with the risk of metabolic syndrome in a sex-specific manner. Diabetes Care 2005;28(2):409–415.
27. Wamala SP, Lynch J, Horsten M, Mittleman MA, Schenck-Gustafsson K, Orth-Gomèr K. Education and the metabolic syndrome in women. Diabetes Care 1999;22(12):1999–2003.
28. Drewnowski A, Darmon N. Food choices and diet costs: an economic analysis. J Nutr 2005;135(4):900–904.
29. Lee MS, Kang HJ, OH HS, Park YM, Choue RW, Park YK, Choi TI. Effects of worksite nutrition counseling for hesalth promotion; Twelve-weeks of nutrition counseling has positive effect on metabolic syndrome risk factors in male workers. Korean J Community Nutr 2008;13(1):46–61.
30. Chun IY. In: comparison of obesity rate, dietary behavior, nutrient intake and blood profile related to metabolic syndrome of adult women in rural area [dissertation]. Gwangju: Chosun University; 2006.
31. Kim HS. In: A Study on Health Behaviors and Nutrient Intakes in the Korean Adult's with Metabolic Syndrome [dissertation]. Seoul: Catholic University; 2005.
32. Jeong HY. In: Analysis of metabolic syndrome factors which are related to dietary habits for a woman in middle age-Based on the National Health and Nutrition Survey in 2001 [dissertation]. Seoul: Kookmin University; 2007.
33. Yoo HJ, Kim YH. A Study on the Characteristics of Nutrient Intake in Metabolic Syndrome Subjects. Korean J Nutr 2008;41(6):510–517.
34. Devaraj S, Wang-Polagruto j, Polagruto J, Keen CL, Jialal I. High-fat, energy-dense, fast-food-style breakfast results in an increase in oxidative stress in metabolic syndrome. Metabolism 2008;57:867–870.
35. Riccardi G, Giacco R, Rivellese AA. Dietary fat, insulin sensitivity and the MS. Clin Nutr 2004;23:447–456.
36. Jang JH, Hur S, Kim YK. Effects of step box Exercise for Nutrition Education Providing Feedback on the Serum Level of Adipocytokines in Women with Metabolic Syndrome. Korean J Exerc Nutr 2007;11(1):1–7.
37. Kong JE. In: Assessment of Dietary intake for middle age adults with metabolic syndrome using 2005, 2007 Korean National Health and Nutrition Survey [dissertation]. Gyeonggi: Dankook University; 2009.