Socioeconomic, Nutrient, and Health Risk Factors Associated with Dietary Patterns in Adult Populations from 2001 Korean National Health and Nutrition Survey

한국 성인의 식사 패턴에 따른 사회경제적 특성, 영양섭취실태 및 대사성 증후군 위험 요인에 대한 연구 - 2001년도 국민건강영양조사자료를 이용하여 -

  • Song Yoon Ju (Research Institute of Human Ecology, Seoul National University) ;
  • Joung Hyo Jee (School of Public Health, Seoul National University) ;
  • Paik Hee-Young (Department of Food & Nutrition, Seoul National University)
  • Published : 2005.04.01

Abstract

The objective of the study was to define dietary patterns in the representative Korean adult population and to explore their associations with other factors. The Korean National Health and Nutrition Survey was conducted on a stratified random sample (n = 9,968) of the Korean population in 2001. This study analyzed data of 5,721 adult population aged 30 and over. Demographic and lifestyle factors were assessed by questionnaires and food consumption by a 24-h recall method. Cluster analysis identified two dietary patterns with 22 food groups: the larger group that included $85\%$ of total subjects was named as the 'traditional' pattern due to greater intakes of white rice, kimchi, and vegetables, and the smaller group was named as the 'modified' pattern which had greater intakes of noodles, bread, snack, and fast foods. The modified pattern had significantly higher proportion in younger age, higher educational level, residing in metropolitan area, and higher household income. The modified group showed significantly higher intake of all nutrients except carbohydrate. Percent of energy from fat intake, $22\%$ was significantly higher in the modified group than $14\%$ in the traditional group. There were no differences in prevalence of metabolic syndrome and its 5 components among patterns. In conclusion, there were two distinctive patterns that were associated with socio-demographic, nutrient intake, and health risk factors in Korea. It should be considered when designing nutrition policy and intervention program.

Keywords

References

  1. Hu FE. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13: 3-9, 2001 https://doi.org/10.1097/00041433-200202000-00002
  2. Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc 104: 615-635, 2004 https://doi.org/10.1016/j.jada.2004.01.010
  3. Hu FB, Rimm EB, Stampfer MJ, Ascherio A, spiegelman D, Willett we. Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr 72: 912-921, 2000 https://doi.org/10.1093/ajcn/72.4.912
  4. Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: A review. Nutr Rev 62 (5): 177-203, 2004 https://doi.org/10.1111/j.1753-4887.2004.tb00040.x
  5. Martikainen P, Brunner E, Marmot M. Socioeconomic differences in dietary patterns among middle-aged men and women. Soc Sci Med 56: 1397-1410, 2003 https://doi.org/10.1016/S0277-9536(02)00137-5
  6. Sanchez-Villegas A, Delgado-Rodriguez M, Martinez-Gonzalez MA, Irala-Estevez JD. Gender, age, socio-demographic and lifestyle factors associated with major dietary patterns in the Spanish Project SUN. Eur J Clin Nutr 57: 285-292, 2003 https://doi.org/10.1038/sj.ejcn.1601528
  7. Wirfalt AKE, Jeffery RW. Using cluster analysis to examine dietary patterns: Nutrient intakes, gender, and weight status differ across food pattern clusters. J Am Diet Assoc 97: 272-279, 1997 https://doi.org/10.1016/S0002-8223(97)00071-0
  8. Beaudry M, Galibois I, Bhaumette P. Dietary patterns of adults in Quebec and their nutritional adequacy. Can J Public Health 89 (5) : 347-351, 1998
  9. Fung TT, Rimm EB, Spiegebnan 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 73: 61-67, 2001 https://doi.org/10.1093/ajcn/73.1.61
  10. 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 76: 245-252, 2002 https://doi.org/10.1093/ajcn/76.1.245
  11. Wirfalt E, Hedblad B, Gullberg B, Mattisson I, Andren 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 malmo diet and cancer cohort. Am J Epidemiol 154: 1150-1159, 2001 https://doi.org/10.1093/aje/154.12.1150
  12. Yoo SY, Song YJ, Joung H, Paik HY. Dietary assessment using dietary pattern analysis of middle school students in Seoul. Korean J Nutr 37 (5) : 373-384, 2004
  13. Report on 2001 National Health and Nutrition Survey -Nutrition Survey (I)-,, Ministry of Health and Welfare, 2002
  14. Recommended dietary allowances for Koreans, 7th revision, The Korean Nutrition Society, Seoul, 2000
  15. Data manual on 2001 National Health and Nutrition Survey, Ministry of Health and Welfare, 2002
  16. Third report of the National Cholesterol Education Program (NCEP)- Detection, evaluation, and treatment of high blood cholesterol in adults (Adult treatment panel III), US Department of Health and Human Services, NIH Publication No. 01-3670, 2001
  17. Moon HK, Kim EG. Nutrient and food intake of Koreans by the economics status and meal pattern using 1998 Korean National Health Examination Nutrition Survey. Korean J Nutr 37 (3): 236-250, 2004
  18. Aranceta J, Perez-Rodrigo C, Ribas L, Serra-Majem Li. Sociodemographic and lifestyle determinants of food patterns in Spain children and adolescents: the enKid study. Eur J Clin Nutr 57: S40-44, 2003 https://doi.org/10.1038/sj.ejcn.1601813
  19. Lee HS, Kim BH, Chang YA, Kim CI. 2001 National Health and Nutrition Survey - Change of diet and fat inake. The Proceedings of Korean Society of Lipidology and Atherosclerosis Conference, 2003
  20. Park HS, Oh SW, Kang JH, Park YW, Choi JM, Kim YS, Choi WH, Yoo HJ, Kim YS. Prevalence and associated factors with metabolic syndrome in south Korea -from the Korean National Health and Nutrition Examination Survey, 1998- Korean J Obesity 12(1): 1-14, 2003
  21. Sub YK. Prevalence of metabolic syndrome using anthropometric indices and its association with dietary factors in Korean adults. Doctoral dissertation. Seoul National University, 2004