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Reproducibility and validity of a food-frequency questionnaire for use among low-income Brazilian workers

Published online by Cambridge University Press:  02 January 2007

Nélida Schmid Fornés*
Affiliation:
Faculdade de Nutrição, Universidade Federal de Goiás, Brazil Rva 10 No. 930 Apto. 902, Setor Oeste, Goiánia, 74120-020 GO, Brazil
Maria Luiza Ferreira Stringhini
Affiliation:
Faculdade de Nutrição, Universidade Federal de Goiás, Brazil
Berenice Müller Elias
Affiliation:
Fundação Hospitalar do Distrito Federal, Brasília, Brazil
*
*Corresponding author: Email nelida@fanut.ufg.br
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Abstract

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Objectives:

To assess the reproducibility and validity a 127-item, habitual intake, food-frequency questionnaire (FFQ), developed for low-income and low-literacy Brazilian workers, by comparison with a 24-hour dietary recall (24-HDR).

Design:

The FFQ and 24-HDR were interviewer-administered at the local workplace to each subject twice, with a period of 6 months between estimates; and four 24-HDRs were conducted during the 4-month period between the two FFQs (FFQ1 and FFQ2). Reproducibility was tested by comparing mean nutrient intakes from the two FFQs. Validity was determined by comparing the mean nutrient intakes from the FFQs with the corresponding averages of the six 24-HDRs (reference method).

Setting:

Goiânia City, in Central West Brazil.

Subjects:

The study was based on 104 (62 women and 42 men) subjects, aged 18 to 60 years, who were randomly selected.

Results:

Dietary intake from the FFQ was higher than from the 24-HDR. Reproducibility was assessed by Pearson correlation coefficients for nutrients from FFQ1 and FFQ2, and ranged from 0.23 for retinol to 0.69 for total energy (mean 0.52). Intra-class coefficients for nutrients averaged by the 24-HDRs ranged from 0.29 for vitamin C to 0.76 for total energy; retinol was not significant. In the validation study, correlation between the FFQ and the 24-HDR ranged between 0.21 for vitamin C and 0.70 for total energy (mean 0.50). Adjusting for total energy lowered the coefficients, except for calcium, retinol and vitamin C. Coefficients increased with attenuation, ranging from 0.35 for carbohydrate to 0.65 for calcium.

Conclusions:

Results indicate that this questionnaire had satisfactory reproducibility and reasonable validity.

Type
Research Article
Copyright
Copyright © CAB International 2003

References

1Willett, WC. Nutritional Epidemiology. New York: Oxford University Press, 1998.CrossRefGoogle Scholar
2Monteiro, CA, Mondini, L, Medeiros de Souza, Al, Popkin, BM. The nutrition transition in Brazil European Journal of Clinical Nutrition 1995; 49: 105–13.Google Scholar
3Flegal, K, Larkin, FA, Metzner, HL, Thompson, FE, Guire, KE. Counting calories: partitioning energy intake estimates from a food frequency questionnaire. American Journal of Epidemiology 1988; 128(4): 749–60.CrossRefGoogle ScholarPubMed
4Kromhout, D, Bloemberg, BPM. Methods in nutritional epidemiology. In Marmot, M, Elliott, P, eds. Coronary Heart Disease Epidemiology. From Etiology to Public Health. New York: Oxford University Press, 1995; 141–51.Google Scholar
5Sichieri, R, Everhart, JE. Validation of a Brazilian food frequency questionnaire against dietary recalls and estimated energy intake. Nutrition Research 1998; 18(10): 1649–59.CrossRefGoogle Scholar
6Cardoso, MA, Kida, AA, Tomita, LY, Stocco, PR. Reproducibility and validity of food frequency questionnaire among women of Japanese ancestry living in Brazil. Nutrition Research 2001; 21: 725–33.CrossRefGoogle Scholar
7Salvo, VLMA, Agostinho Gimeno, SG. Reproducibility and validity of food frequencye. Revista de Saúde Pública/Journal of Public Health 2002; 36(4): 505–12.Google Scholar
8Hunter, DJ, Sampson, L, Stampfer, MJ, Colditz, GA, Rosner, B, Willett, W. Variability in portion sizes of commonly consumed foods among a population of women in the United States.. American Journal of Epidemiology 1988; 127(6): 1240–9.CrossRefGoogle ScholarPubMed
9Fornés, NS, Martins, IS, Hernan, M, Velásquez-Meléndez, G, Ascherio, A. Food frequency consumption and lipoproteins serum levels in the population of Cotia, São Paulo, Brazil. Revista de Saúde Pública/Journal of Public Health 2000; 4(34): 380–7.CrossRefGoogle Scholar
10Beaton, GH, Milner, J, Corey, P, McGuire, BSc, Cousins, M, He, BA, et al. Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. American Journal of Clinical Nutrition 1979; 32: 2546–59.CrossRefGoogle ScholarPubMed
11Willett, WC, Stampfer, MJ, Total energy intake: implication for epidemiologic analyses. American Journal of Epidemiology 1986; 124(1): 1727.CrossRefGoogle ScholarPubMed
12Willett, WC, Stampfer, MJ. Implication of total energy intake for epidemiologic analyses. In: Willett, WC, ed. Nutritional Epidemiology. New York: Oxford University Press, 1998; 273301.CrossRefGoogle Scholar
13Kim, MK, Choi, BY. The influence of portion size data on the agreement of classification of individuals according to nutrient estimates by food frequency questionnaire in a rural area of Korea. Nutrition Research 2002; 22: 271–81.CrossRefGoogle Scholar
14Armstrong, BK, White, E, Saracci, R. Principle of Exposure Measurement in Epidemiology. New York: Oxford University Press, 1995Google Scholar
15Kassam-Khamis, T, Nanchahal, K, Mangtani, P, dos Santos Silva, I, McMichael, A, Anderson, A. Development of an interview-administered food-frequency questionnaire for use amongst women of South Asian ethnic origin in Britain. Journal of Human Nutrition and Dietetics 1999; 12: 719.CrossRefGoogle Scholar
16Torheim, LE, Barikmo, I, Hatløy, A, Diakité, M, Solvoll, K, Diarra, MM, et al. Validation of a quantitative food-frequency questionnaire for use in Western Mali. Public Health Nutrition 2001; 4(6): 1267–77.Google Scholar
17Pietinen, P, Hartman, AM, Haapa, E, Räsänen, L, Haapakoski, J, Palmgren, J, et al. Reproducibility and validity of dietary assessment instruments. II. A qualitative food frequency questionnaire. American Journal of Epidemiology 1988; 128(3): 667–76.CrossRefGoogle Scholar
18Dwyer, JT, Krall, EA, Coleman, A, The problem of memory in nutritional epidemiology research. Journal of the American Dietetic Association 1987; 11: 1509–12.Google Scholar
19Jackson, M, Walker, S, Cade, J, Forrester, T, Cruickshank, JK, Wilks, R. Reproducibility and validity of a quantitative food-frequency questionnaire among Jamaicans of African origin. Public Health Nutrition 2001; 4(5): 971–80.Google Scholar
20Wengreen, HJ, Munger, RG, Wong, SS, West, NA, Cutler, R. Comparison of a picture-sort food-frequency questionnaire with 24-hour dietary recalls in an elderly Utah population. Public Health Nutrition 2001; 4(5): 961–70.CrossRefGoogle Scholar
21Willett, WC, Sampson, L, Stampfer, MJ, Rosner, B, Bain, C, Witchi, J, et al. Reproducibility and validity of a semiquantitative food frequency questionaire. American Journal of Epidemiology 1985; 122: 5165.CrossRefGoogle Scholar
22Johansson, I, Hallmans, G, Wikman, A, Biessy, C, Riboli, E, Kaaks, R. Validation and calibration of food-frequency questionnaire measurements in the Northern Sweden Health and Disease cohort. Public Health Nutrition 2002; 5(3): 487–96.CrossRefGoogle ScholarPubMed
23Kim, J, Chan, MM, Shore, RE, Development and validation of a food frequency questionnaire for Korean Americans. International Journal of Food Sciences and Nutrition 2002; 53: 129–42.Google Scholar
24Martin-Moreno, JM, Boyle, P, Gorgojo, I, Maisonneuve, P, Fernandez-Rodriguez, JC, Salvini, S, et al. Development and validation of a food frequency questionnaire in Spain. International Journal of Epidemiology 1993; 22(3): 512–9.Google Scholar
25Pietinen, P, Hartman, AM, Haapa, E, Räsänen, L, Haapakoski, J, Palmgren, J, et al. Reproducibility and validity of dietary assessment instruments. I. A self-administered food use questionnaire with a portion size picture boocklet. American Journal of Epidemiology 1988; 128: 655–66.CrossRefGoogle Scholar
26Thompson, FE, Byers, T. Dietary assessment resource manual. Journal of Nutrition 1994; 124(Suppl.): 2245S–317S.Google ScholarPubMed
27Subar, AF, Thompson, FE, Kipnis, V, Midthune, D, Hurwitz, P, McNutt, S, et al. Comparative validation of Block, Willett, and National Cancer Institute food frequency questionnaires. American Journal of Epidemiology 2001; 154(12): 1089–99.Google Scholar
28Willett, W, A further look at dietary questionnaire validation [invited commentary]. American Journal of Epidemiology 2001; 154(12): 1100–2.CrossRefGoogle Scholar
29Bland, JM, Altman, DG. Statistical methods for assessing agreement between two methods of clinical measuremt. Lancet 1986; 1: 307–10.Google Scholar
30Delcourt, C, Cubeau, J, Balkau, B, Papoz, L, and the CODIAB–INSERM–ZENECA Pharma Study Group. Limitations of the correlation coefficient in the validation of diet assessment methods.. Epidemiology 1994; 5(5): 518–24.Google ScholarPubMed