Journal of the East Asian Society of Dietary Life (동아시아식생활학회지)

The East Asian Society of Dietary Life (동아시아식생활학회)
권호 표지

Comparative Study of Nutrient Intakes Estimated by Difference of Nutrient Database

식품성분표 차이에 따른 섭취 영양소 추정 비교 연구

  • Published : 2000.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

This study was conducted to investigate the influence of different nutrient databases in estimating nutrient intake. A nutrient survey with Food Frequency Questionnaire containing 65 food items was conducted with 2,426 subjects over 30 years of age living in Yeonchon-gun, Kyungki province. The nutrient intakes were first estimated by using one (A) nutrient database which was based on the Korean Food Composition Table, 4th edition. With the other (B) nutrient database which was based on the Korean RDA(Recommended Dietary Allowances) 6th edition, it was reestimated and two resu1ts were compared. For most nutrients except carbohydrate, calcium, vitamin C and $eta$-carotene, mean nutrient intake level estimated from database B was significantly higher than that from database A(p<0.05). Mean intake level of most nutrients from two databases were significantly correlated by Pearson's correlation coefficients(p<0.001). Results from the ranking of nutrient intake levels of the subjects by two databases were highly correlated ( P >0.9, p<0.001). Weighted kappa values representing measures of agreement ranged from 0.55 databases ranged from 45% for vitamin C to 96% for carbohydrate. This result implies that different nutrient database may produce substantial differences in estimating the absolute nutrient intake but may not be crucial in ranking or classifying individuals with regard to specific nutrient intake.

Keywords

References

  1. Nutritional Assessment Lee, R. D.;Nieman, D. C.
  2. Nutritional Assessment Chang, Y. K.;Jeong, Y. J.;Moon, H. K.;Yoon, J. S.;Park, H. R.
  3. Diet and disease of Korean Paik, H. Y.;Moon, H. K.;Choi, Y. S.;Ahn, Y. O.;Lee, H. K.;Lee, S. W.
  4. Nutritional Epidemiology Willet, W.
  5. Eur. J. Clin. NUtr. v.53 Comparison of nutrient in the food composition tables available in the nine European countries participating in EPIC Deharveng, G.;Charrondiere, U. R.;Slimani, N.;Southgate, D. A. T.;Riboli, E.
  6. J. Nutr. v.124 Future directions in food composition studies Dwyer, J. T.
  7. J. Am. Diet. Assoc. v.88 Sources of data for developing and maintaining a nutrient database Scukel, S. F.;Sievert, Y.;Buzzard, M.
  8. J. Am. Diet. Assoc. v.87 A comparative study of two microcomputer nutrient databases with the USDA Nutrient Data Base for Standard Reference Nieman, D.;Nieman, C. N.
  9. J. Am. Diet. Assoc. v.85 A comparative study of two nutrient databases Shanklin, D.;Endres, J. M.;Sawicki, M.
  10. Food composition table, Nutrient database and Meal database Moon, H. K.
  11. Korean J Nutrition v.27 no.2 A study on revision direction of Korea Food Composition Table through international comparison Kim, E. Y.;Kim, Y. N.
  12. Diabetes Care v.20 no.1 Prevalence of diabetes and IGT in Yonchon country, South Korea Park, Y. S.;Lee, H. K.;Koh, C. S.;MIn, H. K.;Yoo, K. Y.;Kim, Y. G.;Shin, Y. S.
  13. J. of Korean Home Economics Association v.36 Comparative assessment of nutrient intake and quality obtained by food frequency questionnaire and 24-hour recall method in Korean adults living in rural area Lee, S. Y.;Paik, H. Y.
  14. Korean J. Nutrition v.28 no.9 Development and validation of food frequency questionnaire for dietary assessment of Korean adults in rural area Paik, H. Y.;Ryu, J. Y.;Choi, J. S.;Ahn, Y. J.;Moon, H. K.;Park, Y. S.;Lee, H .K.;Kim, Y. I.
  15. Food Composition Table National Rural living Science Institute
  16. Recommended Dietary Allowances for Koreans The Korean Nutrition Society
  17. Statistical methods for rates and proportions(2nd ed.) Fleiss, J. L.
  18. Korean Journal of Epidemiology v.16 Seemiquantitative food frequency method as an epidemiological tool in a rural community, Korea Kim, M. K.;Lee, S. S.;Choi, B. Y.;Shin, Y. J.;Cho, Y. S.;Ahn, Y. O.
  19. Eur. J. Clin. Nutr. v.43 Some statistical considerations on dietary assessment methods Borrelli, R.;Cole, T. J.;Biase, G. D.;Contaldo, F.
  20. Am. J. Clin. Nutr. v.57 Problem with estimating vitamin C intakes Shinha, R.;Block, G.;Talyor, P. R.