Second Version of a Mini-Survey to Evaluate Food Intake Quality (Mini-ECCA v.2): Reproducibility and Ability to Identify Dietary Patterns in University Students
| Autor: | Barbara Vizmanos, Fabiola Márquez-Sandoval, Montserrat González-Gómez, Martha Betzaida Altamirano-Martínez, Ruth Jackelyne Prado-Arriaga, Jaime Fernando Orozco-Gutiérrez, Gabriela Macedo-Ojeda, Nayeli Badillo-Camacho, Porfirio Gutiérrez-González, María Fernanda Bernal-Orozco, Patricia Belen Salmeron-Curiel |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Adult Male Food intake food intake quality Adolescent Universities media_common.quotation_subject lcsh:TX341-641 eating behavior Article undergraduate health students 03 medical and health sciences Young Adult 0302 clinical medicine Health science Environmental health Medicine Humans Quality (business) 030212 general & internal medicine Students reproducibility media_common Reproducibility 030109 nutrition & dietetics Nutrition and Dietetics business.industry Anova test Reproducibility of Results Feeding Behavior Linear discriminant analysis Unhealthy food Nutrition Assessment Food processing diet patterns Female business Energy Intake diet lcsh:Nutrition. Foods and food supply Nutritive Value Food Science food assessment |
| Zdroj: | Nutrients Volume 12 Issue 3 Nutrients, Vol 12, Iss 3, p 809 (2020) |
| ISSN: | 2072-6643 |
| DOI: | 10.3390/nu12030809 |
| Popis: | Evaluation of food intake quality using validated tools makes it possible to give individuals or populations recommendations for improving their diet. This study&rsquo s objective was to evaluate the reproducibility and ability to identify dietary patterns of the second version of the Mini Food Intake Quality Survey (Mini-ECCA v.2). The survey was administered using a remote voting system on two occasions with four-week intervals between administrations to 276 health science students (average age = 20.1 ± 3.1 years 68% women). We then performed a per-question weighted kappa calculation, a cluster analysis, an ANOVA test by questionnaire item and between identified clusters, and a discriminant analysis. Moderate to excellent agreement was observed (weighted &kappa = 0.422&ndash 0.662). The cluster analysis identified three groups, and the discriminant analysis obtained three classification functions (85.9% of cases were correctly classified): group 1 (19.9%) was characterized by higher intake of water, vegetables, fruit, fats, oilseeds/avocado, meat and legumes (healthy food intake) group 2 (47.1%) frequently consumed both fish and unhealthy fats (habits in need of improvement) group 3 (33%) frequently consumed sweetened beverages, foods not prepared at home, processed foods, refined cereals and alcohol (unhealthy food intake). In conclusion, the Mini-ECCA v.2 has moderate to excellent agreement, and it is able to identify dietary patterns in university students. |
| Databáze: | OpenAIRE |
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