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Assessing the relative validity of a new, web-based, self-administered 24 h dietary recall in a French-Canadian population

  • Jacynthe Lafrenière (a1), Catherine Laramée (a1), Julie Robitaille (a1), Benoît Lamarche (a1) and Simone Lemieux (a1)...
Abstract
Objective

To assess the relative validity of a new, web-based, self-administered 24 h dietary recall, the R24W, for assessment of energy and nutrient intakes among French Canadians.

Design

Each participant completed a 3d food record (FR) and the R24W on three occasions over a 4-week period. Intakes of energy and of twenty-four selected nutrients assessed by both methods were compared.

Setting

Québec City metropolitan area.

Subjects

Fifty-seven women and fifty men (mean (sd) age: 47·2 (13·3) years).

Results

Equivalent proportions of under-reporters were found with the R24W (15·0%) and the FR (23·4%). Mean (sd) energy intake from the R24W was 7·2% higher than that from the FR (10 857 (3184) kJ/d (2595 (761) kcal/d) v. 10 075 (2971) kJ/d (2408 (710) kcal/d); P<0·01). Significant differences in mean nutrient intakes between the R24W and the FR ranged from –54·8% (i.e. lower value with R24W) for niacin to +40·0% (i.e. higher value with R24W) for alcohol. Sex- and energy-adjusted deattenuated correlations between the two methods were significant for all nutrients except Zn (range: 0·35–0·72; P<0·01). Cross-classification demonstrated that 40·0% of participants were classified in the same quartile with both methods, while 40·0% were classified in the adjacent quartile and only 3·6% were grossly misclassified (1st v. 4th quartile). Analysis of Bland–Altman plots revealed proportional bias between the two assessment methods for 8/24 nutrients.

Conclusions

These data suggest that the R24W presents an acceptable relative validity as compared with the FR for estimating usual dietary intakes in a cohort of French Canadians.

Copyright
Corresponding author
*Corresponding author: Email Simone.lemieux@fsaa.ulaval.ca
References
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1. Shim, J-S, Shin, H-R, Oh, K et al. (2014) Dietary assessment methods in epidemiologic studies. Epidemiol Health 36, e2014009.
2. Winpenny, EM, Penney, TL, Corder, K et al. (2017) Change in diet in the period from adolescence to early adulthood: a systematic scoping review of longitudinal studies. Int J Behav Nutr Phys Act 14, 60.
3. Kirkpatrick, SI, Vanderlee, L, Raffoul, A et al. (2017) Self-report dietary assessment tools used in Canadian research: a scoping review. Adv Nutr 8, 276289.
4. Freedman, LS, Commins, JM, Moler, JE et al. (2014) Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol 180, 172188.
5. Prentice, RL, Mossavar-Rahmani, Y, Huang, Y et al. (2011) Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers. Am J Epidemiol 174, 591603.
6. Kohlmeier, L, Mendez, M, McDuffie, J et al. (1997) Computer-assisted self-interviewing: a multimedia approach to dietary assessment. Am J Clin Nutr 65, 4 Suppl., 1275S1281S.
7. Taren, D, Dwyer, J, Freedman, L et al. (2002) Dietary assessment methods: where do we go from here? Public Health Nutr 5, 10011003.
8. Margetts, BM & Nelson, M (1997) Design Concepts in Nutritional Epidemiology. Oxford: Oxford University Press.
9. Gleason, PM, Harris, J, Sheean, PM et al. (2010) Publishing nutrition research: validity, reliability, and diagnostic test assessment in nutrition-related research. J Am Diet Assoc 110, 409419.
10. Goldberg, GR & Black, AE (1998) Assessment of the validity of reported energy intakes – review and recent developments. Food Nutr Res 42, 69.
11. Schoeller, DA (1995) Limitations in the assessment of dietary energy intake by self-report. Metabolism 44, 1822.
12. Hill, RJ & Davies, PSW (2001) The validity of self-reported energy intake as determined using the doubly labelled water technique. Br J Nutr 85, 415430.
13. Subar, AF, Kipnis, V, Troiano, RP et al. (2003) Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol 158, 113.
14. Schatzkin, A, Kipnis, V, Carroll, RJ et al. (2003) 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 32, 10541062.
15. Tooze, JA, Subar, AF, Thompson, FE et al. (2004) Psychosocial predictors of energy underreporting in a large doubly labeled water study. Am J Clin Nutr 79, 795804.
16. Willett, WC, Howe, GR & Kushi, LH (1997) Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 65, 4 Suppl., 1220S1228S.
17. Hanneman, SK (2008) Design, analysis and interpretation of method-comparison studies. AACN Adv Crit Care 19, 223234.
18. Cade, JE, Burley, VJ, Warm, DL et al. (2004) Food-frequency questionnaires: a review of their design, validation and utilisation. Nutr Res Rev 17, 522.
19. Willett, WC (1998) Nutritional Epidemiology. New York: Oxford University Press.
20. Lombard, MJ, Steyn, NP, Charlton, KE et al. (2015) Application and interpretation of multiple statistical tests to evaluate validity of dietary intake assessment methods. Nutr J 14, 40.
21. Barrett, JS & Gibson, PR (2010) Development and validation of a comprehensive semi-quantitative food frequency questionnaire that includes FODMAP intake and glycemic index. J Am Diet Assoc 110, 14691476.
22. Bingham, SA, Cassidy, A, Cole, TJ et al. (1995) Validation of weighed records and other methods of dietary assessment using the 24 h urine nitrogen technique and other biological markers. Br J Nutr 73, 531550.
23. Fitt, E, Cole, D, Ziauddeen, N et al. (2015) DINO (Diet In Nutrients Out) – an integrated dietary assessment system. Public Health Nutr 18, 234241.
24. Ortega, RM, Pérez-Rodrigo, C & López-Sobaler, AM (2015) Dietary assessment methods: dietary records. Nutr Hosp 31, Suppl. 3, 3845.
25. De Keyzer, W, Huybrechts, I, De Vriendt, V et al. (2011) Repeated 24-hour recalls versus dietary records for estimating nutrient intakes in a national food consumption survey. Food Nutr Res 2011, 55.
26. Comrie, F, Masson, LF & McNeill, G (2009) A novel online Food Recall Checklist for use in an undergraduate student population: a comparison with diet diaries. Nutr J 8, 13.
27. Moshfegh, AJ, Rhodes, DG, Baer, DJ et al. (2008) The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr 88, 324332.
28. Jacques, S, Lemieux, S, Lamarche, B et al. (2016) Development of a web-based 24-h dietary recall for a French-Canadian population. Nutrients 8, 724.
29. Lafrenière, J, Lamarche, B, Laramée, C et al. (2017) Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies. BMC Nutr 3, 34.
30. Turgeon O’Brien, H & Dufour, R (1994) Calcium and magnesium intakes during pregnancy: association with blood pressure. Top Clin Nutr 9, 7485.
31. Health Canada (2011) Eating Well with Canada’s Food Guide – A Resource for Educators and Communicators. Ottawa, ON: Health Canada; available at http://www.healthcanada.gc.ca/foodguide
32. Eckel, RH, Jakicic, JM, Ard, JD et al. (2014) 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 63, 29602984.
33. Corrao, G, Rubbiati, L, Bagnardi, V et al. (2000) Alcohol and coronary heart disease: a meta-analysis. Addiction 95, 15051523.
34. Bland, JM & Altman, DG (1999) Measuring agreement in method comparison studies. Stat Methods Med Res 8, 135160.
35. Masson, LF, McNeill, G, Tomany, JO et al. (2003) Statistical approaches for assessing the relative validity of a food-frequency questionnaire: use of correlation coefficients and the kappa statistic. Public Health Nutr 6, 313321.
36. Cade, J, Thompson, R, Burley, V et al. (2002) Development, validation and utilisation of food-frequency questionnaires – a review. Public Health Nutr 5, 567587.
37. Luevano-Contreras, C, Durkin, T, Pauls, M et al. (2013) Development, relative validity, and reliability of a food frequency questionnaire for a case–control study on dietary advanced glycation end products and diabetes complications. Int J Food Sci Nutr 64, 10301035.
38. Willett, WC, Sampson, L, Stampfer, MJ et al. (1985) Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol 122, 5165.
39. Frankenfield, D, Roth-Yousey, L & Compher, C (2005) Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. J Am Diet Assoc 105, 775789.
40. Heitmann, BL, Lissner, L & Osler, M (2000) Do we eat less fat, or just report so? Int J Obes Relat Metab Disord 24, 435442.
41. Labonté, M-È, Cyr, A, Baril-Gravel, L et al. (2012) Validity and reproducibility of a web-based, self-administered food frequency questionnaire. Eur J Clin Nutr 66, 166173.
42. Ambrosini, GL, de Klerk, NH, O’Sullivan, TA et al. (2009) The reliability of a food frequency questionnaire for use among adolescents. Eur J Clin Nutr 63, 12511259.
43. Chiuve, SE, Fung, TT, Rimm, EB et al. (2012) Alternative dietary indices both strongly predict risk of chronic disease. J Nutr 142, 10091018.
44. Midanik, LT (1988) Validity of self‐reported alcohol use: a literature review and assessment. Br J Addict 83, 10191029.
45. National Institutes of Health National Cancer Institute (n.d.) Dietary Assessment Primer | 24-hour Dietary Recall. http://dietassessmentprimer.cancer.gov/profiles/ (accessed March 2016).
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