Improvement in dietary intake estimates through the combined use of different approaches
Keywords:
Food consumption, Nutrition surveys, Statistical analysisAbstract
Objective
This study aimed to compare dietary intake estimates using two different methodological approaches: use of new portions obtained with the 24-Hour Diet Recall, which was applied in the current study population, and the application of calibration equations, which were estimated using the same 24h-recalls.
Methods
Calibration equations were estimated using linear regression. The medians and confi dence intervals of energy and nutrient intakes were assessed using all the approaches. The U Mann Whitney test was applied to verify differences among diet ry intakes obtained with the 24 Hour Recall and Food Frequency Questionnaire-based methods. The correlation between different measures was assessed with Spearman coefficient. Weighted Kappa was used to verify the capability of the Food Frequency Questionnaire -based methods to classify individuals in the same intake levels of the 24 Hour Recall.
Results
Nine of the eleven components that were analyzed using the Food Frequency Questionnaire with standard portions and calibrated had medians significantly different from those obtained using the 24 Hour Recall; only the measurements of vitamin E and energy were statistically equal. For the Food Frequency Questionnaire with 24 Hour Recall portions, only the medians of vitamin D and B12 did not significantly differ from the 24 Hour Recall medians. Finally, for the Food Frequency Questionnaire with 24 Hour Recall portions and calibrated, all components, except folate and iron, had medians statistically equal to those obtained using the 24 Hour Recall. Spearman correlation coefficients were higher for the Food Frequency Questionnaire with 24 Hour Recall portions calibrated for all the assessed components, and the values ranged from 0.27 (total fat) to 0.57 (iron). Higher Kappa correlation coefficients were found for the Food Frequency Questionnaire 24 Hour Recall portions calibrated.
Conclusion
Calibrated FFQ with portions estimated from the own target population obtained better estimates of dietary intake, with values considerably more similar to those obtained with the reference method.
References
Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, et al. Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. Am J Clin Nutr. 2018;107(1):80-93.
Ocke MC, Mesquita HBB, Goddijn HE, Jansen A, Pols MA, van Staveren WA, et al. The Dutch EPIC food frequency questionnaire: I. Description of the questionnaire, and relative validity and reproducibility for food groups. Int J Epidemiol. 1997;26Supl1:S37-48.
Corrente JE, Marchioni DML, Fisberg RM. Validation of a FFQ (Food Frequency Questionnaire) for older people. J Life Sci. 2013;7(8):878-82.
Selem SSC, Carvalho AL, Verly-Junior E, Carlos JV, Teixeira JA, Marchioni DM, et al. Validity and reproducibility of a food frequency questionnaire for adults of São Paulo, Brazil. Rev Bras Epidemiol. 2014;17(4):852-9.
Willett WC, Sampson L, Stampfer MJ, Rosner B, Bain C, Witschi J, et al. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol. 1985;122:51-65.
Kroke A, Klipstein-Grobusch K, Voss S, Moseneder J, Thielecke F, Noack R, et al. Validation of a selfadministered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: Comparison of energy, protein, and macronutrient intakes estimated with the doubly labeled water, urinary nitrogen, and repeated 24 h dietary recall methods. Am J Clin Nutr. 1999;70(4):439-47.
Avelino GF, Previdelli AN, Castro MA, Marchioni DM, Fisberg RM. Underreporting of energy intake and associated factors in a population-based study. Cad Saúde Pública. 2014;30(3):663-8.
Klipstein-Grobusch K, den Breeijen JH, Goldbohm RA, Geleijnse JM, Hofman A, Grobbee DE, et al. Dietary assessment in the elderly: Validation of a semiquantitative food frequency questionnaire. Eur J Clin Nutr. 1998;52:588-96.
Banna JC, McCrory MA, Fialkowski MK, Boushey C. Examining plausibility of self-reported energy intake data: Considerations for method selection. Front Nutr. 2017;4:45.
Teixeira JA, Baggio ML, Fisberg RM, Marchioni DML. Calibration of the dietary data obtained from the Brazilian Center of the Natural History of HPV Infection in Men study: The HIM study. Cad Saúde Pública. 2010;26(12):2323-33.
Fisberg RM, Colucci ACA, Morimoto JM, Marchioni DML. Questionário de freqüência alimentar para adultos com base em estudo populacional. Rev Saúde Pública. 2008;42(3):550-4.
Teixeira JA, Baggio ML, Giuliano AR, Fisberg RM, Marchioni DML. Performance of the Quantitative Food Frequency Questionnaire used in the Brazilian center of the prospective study Natural History of Human Papillomavirus Infection in Men: The HIM Study. J Am Diet Assoc. 2011;111(7):1045-51.
Carlos JV. Investigação da dieta habitual em estudo longitudinal sobre a infecção por HPV em homens. [Dissertação]. São Paulo: Universidade de São Paulo; 2011.
Welten DC, Carpenter RA, McPherson RS, Brodney S, Douglass D, Kampert JB, et al. Comparison of a dietary record using reported portion size versus standard portion size for assessing nutrient intake. Public Health Nutr. 1999;3(2):151-8.
Køster-Rasmussen R, Siersma V, Halldorsson TI, Olivarius NF, Henriksen JE, Heitmann BL. Missing portion sizes in FFQ: Alternatives to use of standard portions. Public Health Nutr. 2014;18(11):1914-21. http://dx.doi.org/10.1017/S1368980014002389
Giuliano AR, Lazcano-Ponce E, Villa LL, Flores R, Salmeron J, Lee JH, et al. The human papillomavirus infection in men study: Human papillomavirus prevalence and typo distribution among men residing in Brazil, Mexico, and United States. Cancer Epidemiol Biomarkers Prev. 2008;17:2036-43.
Silva RJC, Sudenga SL, Sichero L, Baggio ML, Galan L, Cintra R, et al. HPV-related external genital lesions among men residing in Brazil. Braz J Infect Dis. 2017;21(4):376-85. http://dx.doi.org/10.1016/j.bjid.2017.03.004
Willett WC, Howe GR, Kushi LW. Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 1997;65(4):1220S-8S.
Guenther PM, Cleveland LE, Ingwersen LA, Berline M. Questionnaire development and data collection procedures. In: Tippett KS, Cypel YS, editors. Design and operation: The continuing survey of food intakes by individuals and the Diet and Health Knowledge Survey, 1994-1996. Nationwide Food Surveys Report;96-1. Beltsville: United States Department of Agriculture; 1998. p.42-63.
Tooze JA, Subar AF, Thompson FE, Troiano R, Schatzkin A, Kipnis V. Psychosocial predictors of energy underreporting in a large doubly labeled water study. Am J Clin Nutr. 2004;79(5):795-804.
Hill RJ, Davies PS. The validity of self-reported energy intake as determined using the doubly labeled water technique. Br J Nutr. 2001;85:415-30.
Trabulsi J, Schoeller DA. Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. Am J Physiol Endocrinol Metab. 2001;281:E891-9.
Pfrimer K, Sartorelli DS, Rosa FT, Resende CMM, Viera DVP, Rabito EI, et al. Calibration of the food list and portion sizes of a food frequency questionnaire applied to free-living elderly people. Nutrition. 2013;29:760-4.
Ferrari P, Day NE, Boshuizen HC, Roddmam A, Hoffmann K, Thiébaut A, et al. The evaluation of the diet/disease relation in the EPIC study: Considerations for the calibration and the disease models. Int J Epidemiol. 2008;37(2):368-78.
Subar AF, Kipnis V, Troiano RP, Midthune D, Schoeller DA, Bingham S, et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: The OPEN Study. Am J Epidemiol. 2003;158(1):1-13.
Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano RP, et al. The structure of dietary measurement error: Results of the OPEN Biomarker Study. Am J Epidemiol. 2003;158(1):14-21.
Subar AF. Developing dietary assessment tools. J Am Diet Assoc. 2004;104(5):769-70.
Willett WC. Nutritional epidemiology. 3rd ed. New York: Oxford University Press; 2013.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Raíssa do Vale Cardoso LOPES, Juliana Araújo TEIXEIRA, Dirce Maria MARCHIONI, Luisa Lina VILLA, Anna Regina GIULIANO, Regina Mara FISBERG
This work is licensed under a Creative Commons Attribution 4.0 International License.
