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
Evaluation of food intake quality using validated tools makes it possible to give individuals or populations recommendations for improving their diet. This study’s objective was to evaluate the reproducibility and ability to identify dietary patterns of the second version of the Mini Food...
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MDPI AG
2020-03-01
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Series: | Nutrients |
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Online Access: | https://www.mdpi.com/2072-6643/12/3/809 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
María Fernanda Bernal-Orozco Patricia Belen Salmeron-Curiel Ruth Jackelyne Prado-Arriaga Jaime Fernando Orozco-Gutiérrez Nayeli Badillo-Camacho Fabiola Márquez-Sandoval Martha Betzaida Altamirano-Martínez Montserrat González-Gómez Porfirio Gutiérrez-González Barbara Vizmanos Gabriela Macedo-Ojeda |
spellingShingle |
María Fernanda Bernal-Orozco Patricia Belen Salmeron-Curiel Ruth Jackelyne Prado-Arriaga Jaime Fernando Orozco-Gutiérrez Nayeli Badillo-Camacho Fabiola Márquez-Sandoval Martha Betzaida Altamirano-Martínez Montserrat González-Gómez Porfirio Gutiérrez-González Barbara Vizmanos Gabriela Macedo-Ojeda 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 Nutrients diet patterns food intake quality reproducibility eating behavior food assessment diet undergraduate health students |
author_facet |
María Fernanda Bernal-Orozco Patricia Belen Salmeron-Curiel Ruth Jackelyne Prado-Arriaga Jaime Fernando Orozco-Gutiérrez Nayeli Badillo-Camacho Fabiola Márquez-Sandoval Martha Betzaida Altamirano-Martínez Montserrat González-Gómez Porfirio Gutiérrez-González Barbara Vizmanos Gabriela Macedo-Ojeda |
author_sort |
María Fernanda Bernal-Orozco |
title |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publisher |
MDPI AG |
series |
Nutrients |
issn |
2072-6643 |
publishDate |
2020-03-01 |
description |
Evaluation of food intake quality using validated tools makes it possible to give individuals or populations recommendations for improving their diet. This study’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 κ = 0.422−0.662). 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. |
topic |
diet patterns food intake quality reproducibility eating behavior food assessment diet undergraduate health students |
url |
https://www.mdpi.com/2072-6643/12/3/809 |
work_keys_str_mv |
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doaj-fc2fe058acd94d40bd61b47094d76be52020-11-25T01:41:51ZengMDPI AGNutrients2072-66432020-03-0112380910.3390/nu12030809nu12030809Second Version of a Mini-Survey to Evaluate Food Intake Quality (Mini-ECCA v.2): Reproducibility and Ability to Identify Dietary Patterns in University StudentsMaría Fernanda Bernal-Orozco0Patricia Belen Salmeron-Curiel1Ruth Jackelyne Prado-Arriaga2Jaime Fernando Orozco-Gutiérrez3Nayeli Badillo-Camacho4Fabiola Márquez-Sandoval5Martha Betzaida Altamirano-Martínez6Montserrat González-Gómez7Porfirio Gutiérrez-González8Barbara Vizmanos9Gabriela Macedo-Ojeda10Bachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoDoctorate in Traslational Nutritional Sciences, CUCS, UdeG, Juan Díaz Covarrubias and Salvador Quevedo y Zubieta, Building “C”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoBachelor of Nutrition, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Sierra Mojada 950, Building “N”, Colonia Independencia, Guadalajara, Jalisco, ZC 44340, MexicoEvaluation of food intake quality using validated tools makes it possible to give individuals or populations recommendations for improving their diet. This study’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 κ = 0.422−0.662). 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.https://www.mdpi.com/2072-6643/12/3/809diet patternsfood intake qualityreproducibilityeating behaviorfood assessmentdietundergraduate health students |