DOI QR코드

DOI QR Code

Comparison of 24-hour Recalls with a Food Frequency Questionnaire in Assessing Coffee Consumption: The Health Examinees (HEXA) Study

24시간 회상법과 식품섭취빈도조사법의 커피 섭취 비교: 도시기반 코호트 활용

  • Kim, An Na (Department of Food and Nutrition, College of Human Ecology, Seoul National University) ;
  • Youn, Jiyoung (Department of Food and Nutrition, College of Human Ecology, Seoul National University) ;
  • Cho, Hyun Jeong (Department of Food and Nutrition, College of Human Ecology, Seoul National University) ;
  • Jin, Taiyue (Department of Food and Nutrition, College of Human Ecology, Seoul National University) ;
  • Shin, Sangah (Department of Food and Nutrition, Chung-Ang University) ;
  • Lee, Jung Eun (Department of Food and Nutrition, College of Human Ecology, Seoul National University)
  • 김안나 (서울대학교 생활과학대학 식품영양학과) ;
  • 윤지영 (서울대학교 생활과학대학 식품영양학과) ;
  • 조현정 (서울대학교 생활과학대학 식품영양학과) ;
  • 진 타이위에 (서울대학교 생활과학대학 식품영양학과) ;
  • 신상아 (중앙대학교 생명공학대학 식품영양학과) ;
  • 이정은 (서울대학교 생활과학대학 식품영양학과)
  • Received : 2019.12.06
  • Accepted : 2020.02.14
  • Published : 2020.02.28

Abstract

Objectives: Most cohort studies used food frequency questionnaires (FFQ) to evaluate coffee consumption as it assesses habitual dietary patterns, whereas some studies have used the 24-hour recalls (24HR) as it elicits in-depth description of foods and the amount eaten. The aim of this study was to compare FFQs and 24HR to assess the consumption of various types of coffee. Methods: We included 25,904 participants aged 40 years or older from the Health Examinees (HEXA) Study of the Korean Genome and Epidemiologic Study (KoGES). Each participant completed one FFQ and one-day (n=11,280) or two-day 24HR (n=14,624). We classified coffee types into: black coffee, coffee with sugar and cream, and coffee with sugar alone or cream alone. We compared the proportions of nondrinkers, black coffee, and coffee with sugar and cream through FFQ and 24HR. Results: Among those who completed one FFQ and one-day 24HR, 39.4% of "nondrinkers" on one-day 24HR reported that they did not drink coffee on their FFQs. Whereas among those who complete two-day 24HR, 71.2% of "nondrinkers" on two-day 24HR said that they did not drink coffee on their FFQs. Among those who completed one FFQ and oneday 24HR, 58.3% marked "black coffee" on one-day 24HR said that they drank black coffee on their FFQs. Among those who complete two-day 24HR, 58.8% marked "black coffee" on two-day 24HR said that they drank black coffee on their FFQs. The kappa coefficients and percent agreements were 0.4 and 59.6%, respectively, for the comparison of coffee intake between FFQ and one-day 24HR, and 0.6 and 72.8%, respectively, for the comparison of coffee intake between FFQ and two-day 24HR. Conclusions: We found discrepancies between FFQs and 24HR in the types of coffee consumed. Such limitations should be considered when using the 24HR data to examine the effect of coffee consumption on disease development.

Keywords

References

  1. Je Y, Jeong S, Park T. Coffee consumption patterns in Korean adults: the Korean National Health and Nutrition Examination Survey (2001-2011). Asia Pac J Clin Nutr 2014; 23(4): 691-702.
  2. Ding M, Bhupathiraju SN, Chen M, van Dam RM, Hu FB. Caffeinated and decaffeinated coffee consumption and risk of type 2 diabetes: A systematic review and a dose-response metaanalysis. Diabetes Care 2014; 37(2): 569-586. https://doi.org/10.2337/dc13-1203
  3. Ding M, Bhupathiraju SN, Satija A, van Dam RM, Hu FB. Long-term coffee consumption and risk of cardiovascular disease: a systematic review and a dose-response meta-analysis of prospective cohort studies. Circulation 2014; 129(6): 643-659. https://doi.org/10.1161/CIRCULATIONAHA.113.005925
  4. Yu X, Bao Z, Zou J, Dong J. Coffee consumption and risk of cancers: a meta-analysis of cohort studies. BMC Cancer 2011; 11(1): 96. https://doi.org/10.1186/1471-2407-11-96
  5. Willett W. Food frequency methods, in nutritional epidemiology. New York: Oxford University Press 2013. p. 70-89.
  6. Willett W. 24 Hour recall and diet record methods, in nutritional epidemiology. New York: Oxford University Press; 2013. p. 49-69.
  7. Kim HJ, Cho S, Jacobs DR, Park K. Instant coffee consumption may be associated with higher risk of metabolic syndrome in Korean adults. Diabetes Res Clin Pract 2014; 106(1): 145-153. https://doi.org/10.1016/j.diabres.2014.07.007
  8. Lee JH, Oh MK, Lim JT, Kim HG, Lee WJ. Effect of coffee consumption on the progression of type 2 diabetes mellitus among prediabetic individuals. Korean J Fam Med 2016; 37(1): 7-13. https://doi.org/10.4082/kjfm.2016.37.1.7
  9. Kim H, Kim YJ, Lim Y, Kwon O. Association of coffee consumption with health-related quality of life and metabolic syndrome in Korean adults: based on 2013-2016 Korea National Health and Nutrition Examination Survey. J Nutr Health 2018; 51(6): 538-555. https://doi.org/10.4163/jnh.2018.51.6.538
  10. Yeon JY, Bae YJ. 3-in-1 coffee consumption is associated with metabolic factors in adults: Based on 2012-2015 Korea National Health and Nutrition Examination Survey. J Nutr Health 2017; 50(3): 257-269. https://doi.org/10.4163/jnh.2017.50.3.257
  11. Kim EK, Choe JS. Correlation of nutrient intake, obesity-related anthropometrics, and blood lipid status with instant coffee-mix intakes in Gangneung and Samcheok residents. Korean J Community Nutr 2013; 18(2): 134-141. https://doi.org/10.5720/kjcn.2013.18.2.134
  12. Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano RP et al. Structure of dietary measurement error: Results of the OPEN biomarker study. Am J Epidemiol 2003; 158(1): 14-21. https://doi.org/10.1093/aje/kwg091
  13. Schatzkin A, Kipnis V, Carroll RJ, Midthune D, Subar AF, Bingham S et al. A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study. Int J Epidemiol 2003; 32(6): 1054-1062. https://doi.org/10.1093/ije/dyg264
  14. Kim Y, Han BG, KoGES Group. Cohort profile: The Korean Genome and Epidemiology Study (KoGES) consortium. Int J Epidemiol 2017; 46(2): e20. https://doi.org/10.1093/ije/dyv316
  15. Health Examinees Study Group. The Health Examinees (HEXA) study: rationale, study design and baseline characteristics. Asian Pac J Cancer Prev 2015; 16(4): 1591-1597. https://doi.org/10.7314/APJCP.2015.16.4.1591
  16. World Health Organization. The Asia-Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia; 2000.
  17. Ahn Y, Kwon E, Shim JE, Park MK, Joo Y, Kim K et al. Validation and reproducibility of food frequency questionnaire for Korean genome epidemiologic study. Eur J Clin Nutr 2007; 61(12): 1435-1441. https://doi.org/10.1038/sj.ejcn.1602657
  18. Hebert JR, Miller DR. Methodologic considerations for investigating the diet-cancer link. Am J Clin Nutr 1988; 47(6): 1068-1077. https://doi.org/10.1093/ajcn/47.6.1068
  19. Willett W. Nature of variation in diet in nutritional epidemiology. New York: Oxford University Press; 2013. p. 34-48.