Modest validity and fair reproducibility of dietary patterns derived by cluster analysis
| Autor: | Montserrat Fitó, Helmut Schröder, Anna N. Funtikova, Alejandra A. Benítez-Arciniega |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Endocrinology Diabetes and Metabolism Population Diet Surveys Spearman's rank correlation coefficient Endocrinology Surveys and Questionnaires Statistics Cluster (physics) Cluster Analysis Humans education Statistic Mathematics Data source Reproducibility education.field_of_study Nutrition and Dietetics Reproducibility of Results Food frequency questionnaire Feeding Behavior Repeatability Middle Aged Diet Mental Recall Female |
| Zdroj: | Nutrition Research. 35:265-268 |
| ISSN: | 0271-5317 |
| DOI: | 10.1016/j.nutres.2014.12.011 |
| Popis: | Cluster analysis is widely used to analyze dietary patterns. We aimed to analyze the validity and reproducibility of the dietary patterns defined by cluster analysis derived from a food frequency questionnaire (FFQ). We hypothesized that the dietary patterns derived by cluster analysis have fair to modest reproducibility and validity. Dietary data were collected from 107 individuals from population-based survey, by an FFQ at baseline (FFQ1) and after 1 year (FFQ2), and by twelve 24-hour dietary recalls (24-HDR). Repeatability and validity were measured by comparing clusters obtained by the FFQ1 and FFQ2 and by the FFQ2 and 24-HDR (reference method), respectively. Cluster analysis identified a "fruits & vegetables" and a "meat" pattern in each dietary data source. Cluster membership was concordant for 66.7% of participants in FFQ1 and FFQ2 (reproducibility), and for 67.0% in FFQ2 and 24-HDR (validity). Spearman correlation analysis showed reasonable reproducibility, especially in the "fruits & vegetables" pattern, and lower validity also especially in the "fruits & vegetables" pattern. κ statistic revealed a fair validity and reproducibility of clusters. Our findings indicate a reasonable reproducibility and fair to modest validity of dietary patterns derived by cluster analysis. |
| Databáze: | OpenAIRE |
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