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      Adaptación y análisis factorial del cuestionario de conducta de alimentación del adulto (AEBQ) en idioma español Translated title: Adaptation and factorial analysis of the Spanish version of the adult eating behaviour questionnaire (AEBQ)

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          Abstract

          Resumen: El Cuestionario de Conducta de Alimentación de Adultos (AEBQ, por su sigla en inglés derivada de Adult Eating Behavior Questionnaire) es una de las herramientas psicométricas más usadas para evaluar la conducta de alimentación. El objetivo de este estudio fue adaptar y analizar factorialmente la versión en idioma español del AEBQ. El cuestionario adaptado al idioma español se aplicó en un estudio piloto de 50 voluntarias universitarias entre 20 y 30 años de edad. Se utilizó la técnica de análisis factorial para reducir la dimensionalidad de los datos y evaluar preliminarmente su estructura. Se usó la estadística alfa de Cronbach para explorar la consistencia interna del cuestionario adaptado. El análisis factorial reveló una estructura de 8 factores que explican el 82,8 % de la variación de los datos, lo que es concordante con el número de dimensiones de la conducta de alimentación publicada para el AEBQ original. La consistencia interna fue alta, con valores de la estadística α de Cronbach entre 0,77 y 0,91 para las 8 dimensiones consideradas. En conclusión, la versión adaptada al idioma español del AEBQ presenta una razonable concordancia en su estructura de datos con el cuestionario publicado originalmente en inglés, así como una adecuada consistencia interna. Se deben realizar futuros estudios de mayor tamaño muestral que incluyan participantes de diferentes grupos de edad, sexo y estado nutricional.

          Translated abstract

          Summary: The Adult Eating Behavior Questionnaire (AEBQ) is one the most used psychometric tool to evaluate eating behavior. The objective of this study was to adapt and analyze the factorial structure of the Spanish version of the AEBQ. The adapted questionnaire was submitted to a non-probabilistic sample of 50 female university students aged 20 - 30 years old. A factorial analysis was used to preliminary assess data structure, while Cronbach's alpha statistic was used to assess internal consistency. Factor analysis revealed an8-factor structure explaining 82,8% of data variation, which is concordant with data structure of the original AEBQ. The internal consistency was high, with Cronbach's α between 0.77 and 0.91 for all eating behavior dimensions. In conclusion, this Spanish version of the AEBQ shows adequate concordance with the factor structure of the originally published AEBQ, as well as high internal consistency. Future studies will evaluate the validity of the questionnaire in different subpopulation groups according to gender, age or nutritional status.

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          Health Effects of Overweight and Obesity in 195 Countries over 25 Years.

          Background While the rising pandemic of obesity has received significant attention in many countries, the effect of this attention on trends and the disease burden of obesity remains uncertain. Methods We analyzed data from 67.8 million individuals to assess the trends in obesity and overweight prevalence among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body mass index (BMI), by age, sex, cause, and BMI level in 195 countries between 1990 and 2015. Results In 2015, obesity affected 107.7 million (98.7-118.4) children and 603.7 million (588.2- 619.8) adults worldwide. Obesity prevalence has doubled since 1980 in more than 70 countries and continuously increased in most other countries. Although the prevalence of obesity among children has been lower than adults, the rate of increase in childhood obesity in many countries was greater than the rate of increase in adult obesity. High BMI accounted for 4.0 million (2.7- 5.3) deaths globally, nearly 40% of which occurred among non-obese. More than two-thirds of deaths related to high BMI were due to cardiovascular disease. The disease burden of high BMI has increased since 1990; however, the rate of this increase has been attenuated due to decreases in underlying cardiovascular disease death rates. Conclusions The rapid increase in prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence-based interventions to address this problem.
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            Multivariate data analysis

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              Appetitive traits and relationships with BMI in adults: Development of the Adult Eating Behaviour Questionnaire

              The Child Eating Behaviour Questionnaire (CEBQ) is a validated parent-report measure of appetitive traits associated with weight in childhood. There is currently no matched measure for use in adults. The aim of this study was to adapt the CEBQ into a self-report Adult Eating Behaviour Questionnaire (AEBQ) to explore whether the associations between appetitive traits and BMI observed in children are present in adults. Two adult samples were recruited one year apart from an online survey panel in 2013 (n = 708) and 2014 (n = 954). Both samples completed the AEBQ and self-reported their weight and height. Principal component analysis (PCA) was used to derive 35 items for the AEBQ in Sample 1 and confirmatory factor analysis (CFA) was used to replicate the factor structure in Sample 2. Reliability of the AEBQ was assessed using Cronbach’s α and a two week test-retest in a sub-sample of 93 participants. Correlations between appetitive traits measured by the AEBQ and BMI were calculated. PCA and CFA results showed the AEBQ to be a reliable questionnaire (Cronbach’s α > 0.70) measuring 8 appetitive traits similar to the CEBQ [Hunger (H), Food Responsiveness (FR), Emotional Over-Eating (EOE), Enjoyment of Food (EF), Satiety Responsiveness (SR), Emotional Under-eating (EUE), Food Fussiness (FF) and Slowness in Eating (SE)]. Associations with BMI showed FR, EF (p < 0.05) and EOE (p < 0.01) were positively associated and SR, EUE and SE (p < 0.01) were negatively associated. Overall, the AEBQ appears to be a reliable measure of appetitive traits in adults which translates well from the validated child measure. Adults with a higher BMI had higher scores for ‘food approach’ traits (FR, EOE and EF) and lower scores for ‘food avoidance’ traits (SR, EUE and SE).
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                Author and article information

                Journal
                alan
                Archivos Latinoamericanos de Nutrición
                ALAN
                Sociedad Latinoamericana de Nutrición (Caracas, DF, Venezuela )
                0004-0622
                2309-5806
                March 2020
                : 70
                : 1
                : 40-49
                Affiliations
                [3] Santiago Santiago de Chile orgnamePontificia Universidad Católica de Chile orgdiv1Escuela de Medicina orgdiv2Departamento de Nutrición, Diabetes y Metabolismo Chile
                [2] Concepción Bío-Bío orgnameUniversidad San Sebastián orgdiv1Facultad de Ciencias para el cuidado de la Salud orgdiv2Escuela de Nutrición y Dietética Chile
                [1] Madrid Madrid orgnameUniversidad Autónoma de Madrid orgdiv1Facultad de Ciencias orgdiv2Departamento de Química Agrícola y Bromatología Spain
                Article
                S0004-06222020000100040 S0004-0622(20)07000100040
                10.37527/2020.70.1.005
                d15eeb57-737d-4be0-a172-31ae0af53b8c

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 27 April 2020
                : 29 June 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 24, Pages: 10
                Product

                SciELO Venezuela

                Categories
                Artículo Original

                adulto,Behaviour,diet,questionnaire,obesity,adult,Conducta,alimentación,cuestionario,obesidad

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