Evaluating the effect of measurement error when using one or two 24Â h dietary recalls to assess eating out: A study in the context of the HECTOR project

British Journal of Nutrition

Volumn 110, Issue 6, 2013, Pages 1107-1117

  Orfanos, Philippos ^a   Knüppel, Sven ^b   Naska, Androniki ^a   Haubrock, Jennifer ^b   Trichopoulou, Antonia ^a,c   Boeing, Heiner ^b  

^a UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

^b GERMAN INSTITUTE OF HUMAN NUTRITION   (Germany)

^c HELLENIC HEALTH FOUNDATION   (Greece)

Author keywords

24 h Recalls; Diet; Eating out; HECTOR project; Measurement errors

Indexed keywords

ADULT; ARTICLE; BODY MASS; CALORIC INTAKE; CONTROLLED STUDY; DIETARY INTAKE; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; FOOD PREFERENCE; GERMANY; HUMAN; MACRONUTRIENT; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ERROR; PHYSICAL ACTIVITY;

ADULT; AGED; DIET; DIET SURVEYS; ENERGY INTAKE; FEMALE; FOOD HABITS; FRUIT; HUMANS; MALE; MEMORY; MIDDLE AGED; RESTAURANTS; TIME FACTORS; VEGETABLES;

EID: 84883378139     PISSN: 00071145     EISSN: 14752662     Source Type: Journal    
DOI: 10.1017/S0007114513000159     Document Type: Article

References (41)

1. World Health Organization (2000) Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation. WHO Technical Report Series no. 894. Geneva: WHO.
2. Pereira MA, Kartashov AI, Ebbeling CB, et al. (2005) Fastfood habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 365, 36-42.
3. F Branca, H Nikogosian & T Lobstein (editors) (2007) The Challenge of Obesity in the WHO European Region and the Strategies for Response: Summary. Copenhagen: WHO.
4. Duffey KJ, Gordon-Larsen P, Jacobs DR, et al. (2007) Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the Coronary Artery Risk Development in Young Adults Study. Am J Clin Nutr 85, 201-208.
5. Beaton GH (1994) Approaches to analysis of dietary data: relationship between planned analyses and choice of methodology. Am J Clin Nutr 59, Suppl. 1, S253-S261.
6. Sempos CT, Liu K & Ernst ND (1999) Food and nutrient exposures: what to consider when evaluating epidemiologic evidence. Am J Clin Nutr 69, S1330-S1338.
7. Rizek RL & Pao EM (1990) Dietary intake methodology I. USDA surveys and supporting research. J Nutr 120, Suppl. 11, S1525-S1529.
8. Burns C, Jackson M, Gibbons C, et al. (2002) Foods prepared outside the home: association with selected nutrients and body mass index in adult Australians. Public Health Nutr 5, 441-448.
9. Carriquiry AL (2003) Estimation of usual intake distributions of nutrients and foods. J Nutr 133, S601-S608.
10. Mackerras D & Rutishauser I (2005) 24-Hour national dietary survey data: how do we interpret them most effectively Public Health Nutr 8, 657-665.
11. Sekula W, Nelson M, Figurska K, et al. (2005) Comparison between household budget survey and 24-hour recall data in a nationally representative sample of Polish households. Public Health Nutr 8, 430-439.
12. Merten C, Ferrari P, Bakker M, et al. (2011) Methodological characteristics of the national dietary services carried out in the European Union as included in the European Food Safety Authority (EFSA) Comprehensive European Food Consumption Database. Food Addit Contam 28, 975-995.
13. Orfanos P, Naska A, Trichopoulos D, et al. (2007) Eating out of home and its correlates in 10 European countries. The European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 10, 1515-1525.
14. Orfanos P, Naska A, Trichopoulou A, et al. (2009) Eating out of home: energy, macro-and micronutrient intakes in 10 European countries. The European Prospective Investigation into Cancer and Nutrition. Eur J Clin Nutr 63, Suppl. 4, S239-S262.
15. Willett WC, (editor). and (1998) Nutritional Epidemiology, European Region, 2nd ed. New York: Oxford University Press.
16. Hoffmann K, Boeing H & Dufour A et al. (2002) Estimating the distribution of usual dietary intake by short-term measurements. Eur J Clin Nutr 56, Suppl. 2, S53-S62.
17. Nusser SM, Carriquiry AL & Dodd KW, et al. (1996) A semiparametric transformation approach to estimating usual daily intake distributions. J Am Statist Assoc 91, 1440-1449.
18. Nusser SM, Fuller WA & Guenther PM (1997) Estimating usual dietary intake distributions: adjusting for measurement error and non-normality in 24-hour food intake data. In Survey Measurement and Process Quality, pp. 689-709 [L Lyberg, M Collins, E DeLeeuw, C Dippo, W Schwartz and D Trewn, editors]. New York: Wiley.
19. Tooze JA, Midthune D, Dodd KW, et al. (2006) A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution. J Am Diet Assoc 106, 1575-1587.
20. Haubrock J, Nöthlings U, Volatier JL, et al. (2011) Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study. J Nutr 141, 914-920.
21. Riboli E & Kaaks R (1997) The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26, Suppl. 1, S6-S14.
22. Boeing H, Wahrendorf J & Becker N (1999) EPIC-Germany-a source for studies into diet and risk of chronic diseases. European Investigation into Cancer and Nutrition. Ann Nutr Metab 43, 195-204.
23. Boeing H, Korfmann A & Bergmann MM (1999) Recruitment procedures of EPIC-Germany. European Investigation into Cancer and Nutrition. Ann Nutr Metab 43, 205-215.
24. Riboli E, Hunt KJ, Slimani N, et al. (2002) European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5, 1113-1124.
25. Bingham S & Riboli E (2004) Diet and cancer-the European Prospective Investigation into Cancer and Nutrition. Nat Rev Cancer 4, 206-215.
26. Nöthlings U, Hoffmann K, Bergmann MM, et al. (2007) Fitting portion sizes in a self-administered food frequency questionnaire. J Nutr 137, 2781-2786.
27. Slimani N, Deharveng G, Charrondiere R, et al. (1999) Structure of the standardized computerized 24-h diet recall interview used as reference method in the 22 centers participating in the EPIC project. European Prospective Investigation into Cancer and Nutrition. Comput Methods Programs Biomed 58, 251-266.
28. Slimani N, Ferrari P, Ocké M, et al. (2000) Standardization of the 24-hour diet recall calibration method used in the European Prospective Investigation into Cancer and Nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54, 900-917.
29. Federal Institute for Health Protection of Consumers and Veterinary Medicine (1998) The German Food Code and Nutrient Data Base, BLS II.1 (in German). Berlin: BgVVJournal 2.
30. Vandevijvere S, Lachat C, Kolsteren P, et al. (2009) Eating out of home in Belgium: current situation and policy implications. Br J Nutr 102, 921-928.
31. James WP & Schofield EC (1990) Human Energy Requirements: A Manual for Planners and Nutritionists. Oxford: Oxford University Press.
32. Fisher RA (1915) Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population. Biometrika 10, 507-521.
33. Beaton GH, Milner J, Corey P, et al. (1979) Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr 32, 2546-2549.
34. Ferrari P, Slimani N, Ciampi A, et al. (2002) Evaluation of under and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC). Public Health Nutr 5, 1329-1345.
35. Beaton GH, Milner J, McGuire V, et al. (1983) Source of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Carbohydrate sources, vitamins, and minerals. Am J Clin Nutr 37, 986-995.
36. Dodd KW, Guenther PM, Freedman LS, et al. (2006) Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc 106, 1640-1650.
37. el Lozy M (1983) Dietary variability and its impact on nutritional epidemiology. J Chronic Dis 36, 237-249.
38. Kaaks R, Ferrari P, Ciampi A, et al. (2002) Uses and limitations of statistical accounting for random error correlations, in the validation of dietary questionnaire assessments. Public Health Nutr 5, 969-976.
39. Blair A, Stewart P, Lubin JH, et al. (2007) Methodological issues regarding confounding and exposure misclassification in epidemiological studies of occupational exposures. Am J Ind Med 50, 199-207.
40. Jurek AM, Greenland S, Maldonado G, et al. (2005) Proper interpretation of non-differential misclassification effects: expectations vs. observations. Int J Epidemiol 34, 680-687.
41. Greenland S, Gago-Domiguez M & Castellao JE (2004) The value of risk-factor ('black-box') epidemiology. Epidemiology 15, 529-535.