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Relative validity of a food frequency questionnaire to identify dietary patterns in an adult Mexican population

Overview of attention for article published in Salud publica de Mexico, December 2016
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Title
Relative validity of a food frequency questionnaire to identify dietary patterns in an adult Mexican population
Published in
Salud publica de Mexico, December 2016
DOI 10.21149/spm.v58i6.7842
Pubmed ID
Authors

Edgar Denova-Gutiérrez, Katherine L Tucker, Jorge Salmerón, Mario Flores, Simón Barquera

Abstract

To examine the validity of a semi-quantitative food frequency questionnaire (SFFQ) to identify dietary patterns in an adult Mexican population. A 140-item SFFQ and two 24-hour dietary recalls (24DRs) were administered. Foods were categorized into 29 food groups used to derive dietary patterns via factor analysis. Pearson and intraclass correlations coefficients between dietary pattern scores identified from the SFFQ and 24DRs were assessed. Pattern 1 was high in snacks, fast food, soft drinks, processed meats and refined grains; pattern 2 was high in fresh vegetables, fresh fruits, and dairy products; and pattern 3 was high in legumes, eggs, sweetened foods and sugars. Pearson correlation coefficients between the SFFQ and the 24DRs for these patterns were 0.66 (P<0.001), 0.41 (P<0.001) and 0.29 (P=0.193) respectively. Our data indicate reasonable validity of the SFFQ, using factor analysis, to derive major dietary patterns in comparison with two 24DR.

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Unknown 82 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 22%
Student > Ph. D. Student 9 11%
Student > Bachelor 5 6%
Student > Doctoral Student 3 4%
Researcher 3 4%
Other 8 10%
Unknown 37 45%
Readers by discipline Count As %
Medicine and Dentistry 18 22%
Nursing and Health Professions 9 11%
Agricultural and Biological Sciences 7 8%
Biochemistry, Genetics and Molecular Biology 3 4%
Social Sciences 2 2%
Other 5 6%
Unknown 39 47%