Journal of Nutrition and Health

The Korean Nutrition Society (한국영양학회)
권호 표지

Dietary Patterns and Prevalence Odds Ratio in Middle-aged Adults of Rural and Mid-size City in Korean Genome Epidemiology Study

40대 이상 농촌 및 중소도시 성인의 식품섭취 패턴 (Pattern)과 질환별 유병위험도 - 한국인유전체역학조사사업 일부 대상자에 대해 -

  • Ahn, Youn-Jhin (Center for Genome Science, National Institute of Health, KCDC) ;
  • Park, Yun-Ju (Center for Genome Science, National Institute of Health, KCDC) ;
  • Park, Seon-Joo (Center for Genome Science, National Institute of Health, KCDC) ;
  • Min, Hae-Sook (Center for Genome Science, National Institute of Health, KCDC) ;
  • Kwak, Hye-Kyoung (Center for Genome Science, National Institute of Health, KCDC) ;
  • Oh, Kyung-Soo (Center for Genome Science, National Institute of Health, KCDC) ;
  • Park, Chan (Center for Genome Science, National Institute of Health, KCDC)
  • 안윤진 (질병관리본부 국립보건연구원 유전체센터) ;
  • 박윤주 (질병관리본부 국립보건연구원 유전체센터) ;
  • 박선주 (질병관리본부 국립보건연구원 유전체센터) ;
  • 민해숙 (질병관리본부 국립보건연구원 유전체센터) ;
  • 곽혜경 (질병관리본부 국립보건연구원 유전체센터) ;
  • 오경수 (질병관리본부 국립보건연구원 유전체센터) ;
  • 박찬 (질병관리본부 국립보건연구원 유전체센터)
  • Published : 2007.04.30
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Abstract

Recently, dietary pattern analysis was emerged as an approach to examine the relationships between diet and risk of chronic diseases. This study was to identify groups with population who report similar dietary pattern in Korean genome epidemiology study (KoGES) and association with several chronic diseases. The cohort participants living in Ansung and Ansan (Gyeonggi province) were totally 10,038. Among those, 6,873 subjects with no missing values in food frequency questionnaire were included in this analysis. After combining 103 food items into 17 food groups, 4 dietary factors were obtained by factor analysis based on their weights. Factor 1 showed high factor loadings in vegetables, mushrooms, meats, fish, beverages, and oriental-cereals. Factor 2 had high factor loadings in vegetables, fruits, fish, and factor 3 had high factor loadings in cereal-oriental, cerial-western and snacks. Factor 4 showed positive high factor loadings in rice and Kimchi and negative factor loadings in mushrooms and milk and dairy products. Using factor scores of four factors, subjects were classified into 3 clusters by K-means clustering. We named those 'Rice and Kimchi eating' group, 'Contented eating' group, and 'Healthy and light eating' group depending on their eating characteristics. 'Rice and Kimchi eating' group showed high prevalence in men, farmers and 60s. 'Contented eating' group and 'Healthy and light eating' group had high prevalence in women, people living in urban area (Ansan Citizen), with high-school education and above, and a monthly income of one million won and more. 'Contented eating' group appeared lower distribution proportion in the sixties and 'Healthy and light eating' group does higher in the fifties. 'Contented eating' versus 'Rice and Kimchi eating', odds ratio for hypertension, diabetes, metabolic syndrome and obesity significantly decreased after adjusting age and sex (OR=0.64, 0.73, and 0.85 respectively, 95% CI). Although our results were from a cross-sectional study, these imply that the dietary patterns were related to diseases.

Keywords

References

  1. Mertz W. Food and Nutrients. J Am Diet Assoc 1984; 84: 769-770
  2. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 2002; 13: 3-9 https://doi.org/10.1097/00041433-200202000-00002
  3. Kant AK. Indexes of overall diet quality: A review. J Am Diet Assoc 1996; 96: 785 -791 https://doi.org/10.1016/S0002-8223(96)00217-9
  4. Fung TT, Rimm EB, Spiegelman D, Rifai N, Tofler GH, Willett WC, Hu FB. Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk. Am J Clin Nutr 2001;73(1): 61-67 https://doi.org/10.1093/ajcn/73.1.61
  5. Zamel MB. Dietary pattern and hypertension: the DASH study. Nutr Rev 1997; 55: 303-308 https://doi.org/10.1111/j.1753-4887.1997.tb05489.x
  6. Pryer JA, Nichols R, Elliott P, Thakrar B, Brunner E, Marmot M. Dietary patterns among a national random sample of British adults. J Epidemiol Community Health 2001; 55: 29-37 https://doi.org/10.1136/jech.55.1.29
  7. Schwerin HS, Stanton JL, Riley AM, Schaefer AE, Leveille GA, Elliott JG, Warwick KM, Brett BE. Food eating patterns and health: a reexamination of the Ten-State and HANES I surveys. Am J Clin Nutr 1981; 34: 568-580 https://doi.org/10.1093/ajcn/34.4.568
  8. Schwerin HS, Stanton JL, Smith JL, Riley AM, Brett BE. Food, eating patterns, and health: a further examination of the relationship between food eating patterns and nutritional health. Am J Clin Nutr 1982; 35: 1319-1325 https://doi.org/10.1093/ajcn/35.5.1319
  9. Haines PS, Siega-Riz AM, Popkin BM. The diet quality index revised: a measurement instrument for populations. J Am Diet Assoc 1999; 99(6): 697-704 https://doi.org/10.1016/S0002-8223(99)00168-6
  10. Shatenstein B, Nadon S, Godin C, Ferland G. Diet quality of Montreal-area adults needs improvement: estimates from a selfadministered food frequency questionnaire furnishing a dietary indicator score. J Am Diet Assoc 2005; 105(8): 1251-1260 https://doi.org/10.1016/j.jada.2005.05.008
  11. Jilcott SB, Keyserling TC, Samuel-Hodge CD, Johnston LF, Gross MD, Ammerman AS. Validation of a brief dietary assessment to guide counseling for cardiovascular disease risk reduction in an underserved population. J Am Diet Assoc 2007; 107(2): 246-255 https://doi.org/10.1016/j.jada.2006.11.006
  12. Brandstetter BR, Korfmann A, Kroke A, Becker N, Schulze MB, Boeing H. Dietary Habits in the German EPIC Cohorts: Food group intake estimated with the food frequency questionnaire. Ann Nutr Metab 1999; 43: 246-257 https://doi.org/10.1159/000012791
  13. Elmståhl S, Holmqvist O, Gullberg B, Johasson U, Berglund G. Dietary patterns in high and low consumers of meat in a Swedish Cohort Study. Appetite 1999; 32: 191-206 https://doi.org/10.1006/appe.1998.0187
  14. Greenwood DC, Cade JE, Draper A, Barrett JH, Calveert C, Greenhalgh A. Seven unique food consumption patterns identified among women in the UK Women's cohort study. Eur J Clin Nutr 2000; 54: 314-320 https://doi.org/10.1038/sj.ejcn.1600941
  15. Togo P, Osler M, Sorensen TIA, Heitmann BL. Food intake patterns and body mass index in observational studies. Int J Obes 2001; 25: 1741-1751 https://doi.org/10.1038/sj.ijo.0801819
  16. Schulze MB, Hoffmann K, Kroke A, Boeing H. An Approach to construct simplified measures of dietary patterns from exploratory factor analysis. Br J Nutr 2003; 89: 409-418 https://doi.org/10.1079/BJN2002749
  17. 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
  18. Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc 2004; 104: 615-635 https://doi.org/10.1016/j.jada.2004.01.010
  19. Slattery ML, Boucher KM, Caan BJ, Potter JD, Ma KN. Eating patterns and risk of colon cancer. Am J Epidemiol 1998; 148: 4-16
  20. Kesse E, Clavel-Chapelon F, Boutron-Ruault MC. Dietary patterns and risk of colorectal tumors: A cohort of French women of the National Education System (E3N). Am J Epidemiol 2006; 164(11): 1085-1093 https://doi.org/10.1093/aje/kwj324
  21. Mizoue T, Yamaji T, Tabata S, Yamaguchi K, Shimizu E, Minishita M, Ogawa S, Kono S. Dietary patterns and colorectal adenomas in Japanese men. Am J Epidemiol 2005; 161: 338-345 https://doi.org/10.1093/aje/kwi049
  22. Hu FB, Rimm EB, Stampfer MJ, Ascherio A, Spiegelman D, Willett WC. Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr 2000; 72: 912-921 https://doi.org/10.1093/ajcn/72.4.912
  23. Fung TT, Willett WC, Stempfer MJ, Manson JE, Hu FB. Dietary patterns and the risk of coronary heart disease in women. Arch Intern Med 2001; 161: 1857-1862 https://doi.org/10.1001/archinte.161.15.1857
  24. Montonen J, Knekt P, Harkanen T, Jarvinene R, Heliovaara M, Aromoa A, Reunanen A. Dietary patterns and the incidence of type 2 diabetes. Am J Epidemiol 2005; 161: 219-227 https://doi.org/10.1093/aje/kwi039
  25. Huijbregts PPC, Feskens EJM, Kromhout D. Dietary Patterns and cardiovascular risk factors in elderly men: The Zutphen Elderly Study. Int J Epidemiol 1995; 24(2): 313-320 https://doi.org/10.1093/ije/24.2.313
  26. Schulze MB, Hoffmann K, Kroke A, Boeing H. Risk of hypertension among women in the EPIC-Postdam study: Comparison of relative risk estimates for exploratory and hypothesisoriented dietary patterns. Am J Epidemiol 2003; 158(4): 365-373 https://doi.org/10.1093/aje/kwg156
  27. Wirfält E, Hedblad B, Gulberg B, Mattisson I, Andrén C, Rosander U, Janzon L, Berglund G. Food patterns and components of the metabolic syndrome in men and women: A cross-sectional study within the Malmödiet and cancer cohort. Am J Epidemiol 2001; 154(12): 1150-1159 https://doi.org/10.1093/aje/154.12.1150
  28. Akin JS, Guilkey DK, Popkin BM, Fanelli MT. Cluster analysis of food consumption patterns of older Americans. J Am Diet Assoc 1986; 86(5): 616-624
  29. Barker ME, McClean SI, Thompson KA, Reid NG. Dietary behaviours and sociocultural demographics in Northern Ireland. Br J Nutr 1990; 64: 319-329 https://doi.org/10.1079/BJN19900034
  30. Hulshof KF, Wedel M, Lowik MR, Kok FJ, Kistemaker C, Hermus RJ, Ten Hoor F, Ockhuizen T. Clustering of dietary variables and other lifestyle factors (Dutch Nutritional Surveyllance System). J Epidemiol Community Health 1992; 46: 417-424 https://doi.org/10.1136/jech.46.4.417
  31. Tucker KL, Dallal GE, Rush D. Dietary patterns of elderly Boston- area residents defined by cluster analysis. J Am Diet Assoc 1992; 92: 1487-1491
  32. Hur IY, Moon HK. A study on the menu patterns of residents in Kangbukgu (I)-Whole menu patterns and mu patterns by meal. Korean J Community Nutr 2001; 6(4): 686-702
  33. Park YS, Lee JW. Development of a simple evaluation questionaire for screening the dietary pattern of overweight young adults. Korean J Community Nutr 2002; 7(5): 675-685
  34. Yoo SY, Song YJ, Joung HJ, Paik HY. Dietary assessment using dietary pattern analysis of middle school students in Seoul. Korean J Nutr 2004; 37(5): 373-384
  35. Song YJ, Joung HJ, Paik HY. Socioeconomic, nutrient, and health risk factors associated with dietary patterns in adult populations from 2001 Korean National Health and Nutrition Survey. Korean J Nutr 2005; 38(3): 219-225
  36. Ahn Y, Lee JE, Paik HY, Lee HK, Jo I, Kimm K. Development of a semi-quantitative food frequency questionnaire based on dietary data from the Korea National Health and Nutrition Examination Survey. Nutr Sci 2003; 6(3): 173-184
  37. Recommended dietary allowances for Koreans, 7th Ed, The Korean Nutrition Society, Seoul; 2000
  38. Ahn Y, Lee JE, Cho NH, Shin C, Park C, Oh BS, Kimm K. Validation and calibration of semi-quantitative food frequency questionnaire -with participants of the Korean Health and Genome Study. Korean J Community Nutr 2004; 9(2): 173-182
  39. Food composition table, 6th revision, National Rural Living Science Institute R.D.A; 2001
  40. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: The JNC 7 Report. JAMA 2003; 289(19): 2560-2571 https://doi.org/10.1001/jama.289.19.2560
  41. Diabetes Diagnosis Criteria, WHO; 2003
  42. Executive Summary of The 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). JAMA 2001; 285: 2486-2497 https://doi.org/10.1001/jama.285.19.2486
  43. The Asia-Pacific perspective: Redefining obesity and its treatment, The International Obesity Task Force; 2000
  44. Terry P, Hu FB, Hansen H, Wolk A. Prospective study of major dietary patterns and colorectal cancer risk in women. Am J Epidemiol 2001; 154(12): 1143-1149 https://doi.org/10.1093/aje/154.12.1143
  45. Nicklas TA, Webber LS, Thompson B, Berenson GS. A multivariate model for assessing eating patterns and their relationship to cardiovascular risk factors: the Bogalusa Heart Study. Am J Clin Nutr 1989; 49: 1320-1327 https://doi.org/10.1093/ajcn/49.6.1320
  46. Van den Bree MBM, Eaves LJ, Dwyer JT. Genetic and environmental influences on eating patterns of twin aged ${\ge}$ 50y. Am J Clin Nutr 1999; 90: 456-465
  47. Fung TT, Schulze M, Manson JE, Willett WC, Hu FB. Dietary patterns, meat intake and the risk of type 2 diabetes in women. Arch Intern Med 2004; 164(20): 2235-2240 https://doi.org/10.1001/archinte.164.20.2235
  48. Paradis AM, Pérusse L, Vohl MC. Dietary patterns and associated lifestyles in individuals with and without familial history of obesity: a cross-sectional study. Int J Behav Nutr Phys Act 2006; 3: 38-46 https://doi.org/10.1186/1479-5868-3-38
  49. Okubo H, Sasaki S, Horiguchi H, Oguma E, Miyamoto K, Hosoi Y, Kim MK, Kayama F. Dietary patterns associated with bone mineral density in premenopausal Japanese farmwomen. Am J Clin Nutr 2006; 83: 1185-1192 https://doi.org/10.1093/ajcn/83.5.1185
  50. Jacques PF, Tucker KL. Are dietary patterns useful for understanding the role of diet in chronic disease? Am J Clin Nutr 2001; 73: 1-2 https://doi.org/10.1093/ajcn/73.1.1
  51. Millen BE, Quatromoni PA, Copernhafer DL, Demissie S, O'Horo CE, D'Agostino RB. Validation of a dietary pattern approach for evaluating nutritional risk: The Framingham Nutrition Studies. J Am Diet Assoc 2001; 101: 187-194 https://doi.org/10.1016/S0002-8223(01)00051-7
  52. Tucker KL, Chen H, Hannan MT, Cupples LA, Wilson PWF, Felson D, Kiel DP. Bone mineral density and dietary patterns in older adults: the Framingham Osteoporosis Study. Am J Clin Nutr 2002; 76: 245-252 https://doi.org/10.1093/ajcn/76.1.245
  53. Slattery ML, Boucher KM. The senior authors' response: Factor analysis as a tool for evaluating eating patterns. Am J Epidemiol 1998; 148(1): 20-21 https://doi.org/10.1093/oxfordjournals.aje.a009553