Abstract

The objective of the study was to develop a food frequency questionnaire for each of the following groups: female adults, male adults and male and female adults, based on dietary data obtained in a population-based study comprising individuals from different income levels. Dietary data was obtained from a 24-hour Dietary Recall applied to a probabilistic sample of 1,477 subjects in the city of São Paulo (Southeastern Brazil) in 2003. Food items accounting for at least 90% of total daily calorie intake and nutrients were selected. The reference time frame was the year preceding the interview and subjects had the choice of four serving sizes.

Highlights

  • A major challenge in the science and practice of nutrition and dietetics is accurately measuring food intake given the limitations of methods available

  • There were developed three Food Frequency Questionnaire (FFQ), two gender-specific and one for both men and women, to be applied in epidemiological studies of adults based on a list of food items and serving sizes

  • It should be noted it is the first FFQ developed in Brazil with these features

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Summary

Introduction

A major challenge in the science and practice of nutrition and dietetics is accurately measuring food intake given the limitations of methods available. The Food Frequency Questionnaire (FFQ) and 24-hour Dietary Recall (24HR) are the main instruments used for dietary data collection. FFQ’s main feature can accurately provide what 24hR cannot, i.e., it captures the likelihood of intake of most food items over a preceding period of time, usually the prior year.[4] This feature allows to assess the habitual diet, which is crucial for estimating the measure of exposure to dietary factors and to investigate potential associations with outcomes of interest.[5]. The purpose of the present study was to develop three different FFQs for adults, one for women, one for men and one for both men and women, based on dietary data from a previous population-based study comprising individuals from different income levels

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