Volume 77, Issue 2 p. 260-267
Original Research

Development of a Food Frequency Questionnaire for Brazilian athletes

Allan da Mata Godois

Corresponding Author

Allan da Mata Godois

Nucleus of Physical Fitness, Informatics, Metabolism, Sports and Health, Federal University of Mato Grosso, Cuiabá, Brazil

Correspondence: A.M. Godois, Nucleus of Physical Fitness, Informatics, Metabolism, Sports and Health, Federal University of Mato Grosso, Cuiabá, MT 78060-900, Brazil. Tel: +55 65 92867795.

Email: [email protected].

R. Raizel, Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP 05508-000, Brazil. Tel: +55 11 949163415.

Email: [email protected]

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Christianne de Faria Coelho-Ravagnani

Christianne de Faria Coelho-Ravagnani

Department of Physical Education, Faculty of Physical Education, Federal University of Mato Grosso do Sul, Campo Grande, Brazil

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Raquel Raizel

Corresponding Author

Raquel Raizel

Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil

Correspondence: A.M. Godois, Nucleus of Physical Fitness, Informatics, Metabolism, Sports and Health, Federal University of Mato Grosso, Cuiabá, MT 78060-900, Brazil. Tel: +55 65 92867795.

Email: [email protected].

R. Raizel, Department of Food and Experimental Nutrition, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP 05508-000, Brazil. Tel: +55 11 949163415.

Email: [email protected]

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Eliseu Verly-Junior

Eliseu Verly-Junior

Institute of Social Medicine, Department of Epidemiology, Rio de Janeiro State University, Rio de Janeiro, Brazil

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First published: 29 July 2018
Citations: 6
A.M. Godois, MSc, Lecturer
C.F. Coelho-Ravagnani, PhD, Associate Professor
R. Raizel, PhD, Dietitian
E. Verly-Junior, PhD, Associate Professor

Abstract

Aim

Until recently most dietary survey methods have been developed for non-athletic populations. In this study, we aimed to develop a Food Frequency Questionnaire (FFQ) to assess the regular dietary intake of Brazilian athletes.

Methods

We interviewed 141 athletes (23.36 ± 7.77 years old) for their dietary intake using 24-hour recalls. After grouping conceptually similar food items into 113 food items, percentage contribution analysis and stepwise regression models were used to highlight foods contributing to at least 90% of the between-person variability of key nutrients.

Results

The developed FFQ contained 59 foods which were important predictors of the variance in nutrient intake. Vitamin C and pyridoxine had the lowest number of selected foods. Conversely, 13 food items were required to explain the between-person variation for energy, carbohydrate and magnesium intake.

Conclusions

Using a multiple regression analysis we developed a 59-food item questionnaire, which includes culturally specific food items and may represent an important dietary tool to analyse athletic populations. Reproducibility and validity of this FFQ will be verified in future research.

Conflict of interest

The authors have no conflicts of interest to declare.

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