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Mendeley readers
| Title |
Relative validity of a food frequency questionnaire to identify dietary patterns in an adult Mexican population
|
|---|---|
| Published in |
Salud Pública de México, 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 1% |
| Unknown | 90 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 20% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 5 | 5% |
| Student > Doctoral Student | 4 | 4% |
| Researcher | 4 | 4% |
| Other | 8 | 9% |
| Unknown | 42 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 22% |
| Nursing and Health Professions | 9 | 10% |
| Agricultural and Biological Sciences | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Immunology and Microbiology | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 45 | 49% |