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A Factor of Fasting Blood Glucose and Dietary Patterns in Korean Adults Using Data From the 2007, 2008 and 2009 Korea National Health and Nutrition Examination Survey

우리나라 성인의 공복혈당 수준과 식이패턴요인: 제4기(2007-2009) 국민건강영양조사를 중심으로

  • Paek, Kyung-Won (Division of Social Welfare, Baekseok University) ;
  • Chun, Ki-Hong (Department of Preventive Medicine and Public Health, Ajou University School of Medicine) ;
  • Lee, Soo-Jin (Department of Preventive Medicine and Public Health, Ajou University School of Medicine)
  • 백경원 (백석대학교 사회복지학부) ;
  • 전기홍 (아주대학교 의과대학 예방의학교실) ;
  • 이수진 (아주대학교 의과대학 예방의학교실)
  • Received : 2010.11.03
  • Accepted : 2011.03.09
  • Published : 2011.03.30

Abstract

Objectives: This study was performed to identify the socioeconomic factors, health behavior factors and dietary patterns that have an influence on the fasting blood glucose in adults. Methods: This study used data collected from the 2007, 2008, 2009 Korea National Health and Nutrition Examination Survey. The final sample included 4163 subjects who were 30-59 years old and who had completed the necessary health examinations, the health behaviors survey and nutrition survey. Results: Eleven dietary patterns emerged from the factor analysis with different factor loading. After controlling for potential confounders, multiple regression analysis of the dietary patterns showed that 'fruits', 'alcohols', and 'starchy foods' affected the fasting blood. Lower consumption of 'fruits' and higher consumption of 'alcohols' and 'starch foods' were significantly associated only with an increased risk of high blood glucose. Conclusions: In the light of the results of this study, it appears pretty likely that the risk of developing high blood glucose can be reduced by changing a person's dietary patterns.

Keywords

References

  1. Statistics Korea. The results of 2009 death cause statistics survey. Daejeon: Statistics Korea; 2010. (Korean)
  2. Hu FB, Sigal RJ, Rich-Edwards JW, Colditz GA, Solomon CG, Willett WC, et al. Walking compared with vigorous physical activity and risk of type 2 diabetes in women: a prospective study. JAMA 1999; 282(15): 1433-1439. https://doi.org/10.1001/jama.282.15.1433
  3. Lynch J, Helmrich SP, Lakka TA, Kaplan GA, Cohen RD, Salonen R, et al. Moderately intense physical activities and high levels of cardiorespiratory fitness reduce risk of noninsulin- dependent diabetes mellitus in middle-aged men. Arch Intern Med 1996; 156(12): 1307-1314. https://doi.org/10.1001/archinte.1996.00440110073010
  4. Virtanen SM, Aro A. Dietary factors in the aetiology of diabetes. Ann Med 1994; 26(6): 469-478. https://doi.org/10.3109/07853899409148371
  5. Montonen J, Knekt P, Harkanen T, Jarvinen R, Heliovaara M, Aromaa A, et al. Dietary patterns and the incidence of type 2 diabetes. Am J Epidemiol 2005; 161(3): 219-227. https://doi.org/10.1093/aje/kwi039
  6. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002; 346(6): 393-403. https://doi.org/10.1056/NEJMoa012512
  7. Pan XR, Li GW, Hu YH, Wang JX, Yang WY, An ZX, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 1997; 20(4): 537-544. https://doi.org/10.2337/diacare.20.4.537
  8. Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001; 344(18): 1343-1350. https://doi.org/10.1056/NEJM200105033441801
  9. Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 2004; 62(5): 177-203. https://doi.org/10.1111/j.1753-4887.2004.tb00040.x
  10. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 2002; 13(1): 3-9. https://doi.org/10.1097/00041433-200202000-00002
  11. Moeller SM, Reedy J, Milen AE, Dixon LB, Newby PK, Tucker KL, et al. Dietary patterns: challenges and opportunities in dietary patterns research Experimental Biology workshop, April 1, 2006. J Am Diet Assoc 2007; 107(7): 1233-1239. https://doi.org/10.1016/j.jada.2007.03.014
  12. Ursin G, Ziegler RG, Subar AF, Graubard BI, Haile RW, Hoover R. Dietary patterns associated with a low-fat diet in the national health examination follow-up study: identification of potential confounders for epidemiologic analyses. Am J Epidemiol 1993; 137(8): 916-927. https://doi.org/10.1093/oxfordjournals.aje.a116753
  13. Lairon D, Arnault N, Bertrais S, Planells R, Clero E, Hercberg S, et al. Dietary fiber intake and risk factors for cardiovascular disease in French adults. Am J Clin Nutr 2005; 82(6): 1185-1194.
  14. Tsumura K, Hayashi T, Suematsu C, Endo G, Fujii S, Okada K. Daily alcohol consumption and the risk of type 2 diabetes in Japanese men: the Osaka Health Survey. Diabetes Care 1999; 22(9): 1432-1437. https://doi.org/10.2337/diacare.22.9.1432
  15. Hodge AM, English DR, O'Dea K, Giles GG. Alcohol intake, consumption pattern and beverage type, and the risk of Type 2 diabetes. Diabet Med 2006; 23(6): 690-697. https://doi.org/10.1111/j.1464-5491.2006.01864.x
  16. American Diabetes Association, Bantle JP, Wylie-Rosett J, Albright AL, Apovian CM, Clark NG, et al. Nutrition recommendations and interventions for diabetes: a position statement of the American Diabetes Association. Diabetes Care 2008; 31(Suppl 1): S61-S78.
  17. Kim IJ. Glycemic index revisited. Korean Diabetes J 2009; 33(4): 261-266. (Korean) https://doi.org/10.4093/kdj.2009.33.4.261
  18. Jenkins DJ, Jenkins AL, Wolever TM, Vuksan V, Rao AV, Thompson LU, et al. Low glycemic index: lente carbohydrates and physiological effects of altered food frequency. Am J Clin Nutr 1994; 59(3 Suppl): 706S-709S. https://doi.org/10.1093/ajcn/59.3.706S
  19. van Dam RM, Rimm EB, Willett WC, Stampfer MJ, Hu FB. Dietary patterns and risk for type 2 diabetes mellitus in U.S. men. Ann Intern Med 2002; 136(3): 201-209. https://doi.org/10.7326/0003-4819-136-3-200202050-00008
  20. van Dam RM, Willett WC, Rimm EB, Stampfer MJ, Hu FB. Dietary fat and meat intake in relation to risk of type 2 diabetes in men. Diabetes Care 2002; 25(3): 417-424. https://doi.org/10.2337/diacare.25.3.417
  21. Min HK. Clinical characteristics of diabetes in Korea. Korean Diabetes J 1992; 16(3): 163-174. (Korean)
  22. Song YJ, Paik HY, Joung H. A comparison of cluster and factor analysis to derive dietary patterns in Korean adults using data from the 2005 Korea National Health and Nutrition Examination Survey. Korean J Community Nutr 2009; 14(6): 722-733. (Korean)
  23. Hearty AP, Gibney MJ. Comparison of cluster and principal component analysis techniques to derive dietary patterns in Irish adults. Br J Nutr 2009; 101(4): 598-608.
  24. Hoffmann K, Schulze MB, Schienkiewitz A, Nothlings U, Boeing H. Application of a new statistical method to derive dietary patterns in nutritional epidemiology. Am J Epidemiol 2004; 159(10): 935-944. https://doi.org/10.1093/aje/kwh134

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