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Validation of a semi-quantitative food-frequency questionnaire for use among adults in Guatemala

Published online by Cambridge University Press:  22 December 2006

Monica M Rodríguez
Affiliation:
Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala
Humberto Méndez
Affiliation:
Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala
Benjamín Torún
Affiliation:
Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala
Dirk Schroeder
Affiliation:
Department of International Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
Aryeh D Stein*
Affiliation:
Department of International Health, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
*
*Corresponding author: Email astein2@sph.emory.edu
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Abstract

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Objective:

The purpose of the study was to assess the validity of a 52-item semiquantitative food-frequency questionnaire (FFQ) by comparing it with multiple 24-hour dietary recalls.

Design:

Three non-consecutive 24-hour dietary recalls and one FFQ were administered over a one-month period.

Setting:

Four communities of El Progreso, Guatemala.

Subjects:

Seventy-three individuals aged 22–55 years.

Results:

Intakes of energy and other nutrients as measured by the FFQ were higher than intakes measured by 24-hour recalls. Energy was overestimated by 361 kcal, and nutrient overestimates were particularly great for vitamin C and iron. Pearson correlation coefficients for crude energy and nutrients intakes ranged from 0.64 for energy to 0.12 for vitamin C. Exact agreement for both methods (measured by the concordance correlation coefficient) ranged from 0.59 (fat) to 0.06 (vitamin C). Pearson correlation coefficients for energy-adjusted nutrients ranged from 0.59 (carbohydrates) to 0.11 (thiamin). Pearson correlation coefficients for the proportion of total energy derived from specific foods ranged from 0.59 (tortillas) to 0.01 (sugared beverages). Cross-classification of quartiles of crude nutrient intakes for both methods indicated that <11% were grossly misclassified; after adjusting for energy intake, <13% were grossly misclassified.

Conclusions:

This FFQ provides good measures of energy and macronutrient intakes and a reasonably reliable measure of micronutrient intake, indicating its suitability for comparing exposures within a study population in reference to heath-related endpoints. Our results highlight the need to adapt any FFQ to specific cultural needs – in this case, the Guatemalan ‘core foods’ (tortilla, bread and beans), for which inter-individual variability in intake is high.

Type
Research Article
Copyright
Copyright © CABI Publishing 2002

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