Validation of the Adult Eating Behavior Questionnaire (AEBQ) in a young adult Black sample in the U.S.: Evaluating the psychometric properties and associations with BMI

Author:

Kuno Caroline BenaORCID,Frankel Leslie,Ofosuhene Patrick,Keen II Larry

Abstract

AbstractThe Adult Eating Behavior Questionnaire (AEBQ) is an instrument developed in the UK and used to examine appetitive traits in adults. The AEBQ is divided into four Food Approach subscales, namely; Enjoyment of Food, Emotional Overeating, Food Responsiveness and Hunger, and four Food Avoidance subscales, namely; Emotional Undereating, Food Fussiness, Slowness in Eating, and Satiety Responsiveness. The instrument has been validated in a number of countries. However, there is limited evidence to show the validation of the AEBQ in predominantly Black populations. The aim of this cross-sectional study was to validate the AEBQ in a Black young adult sample in the U.S.A. Participants (n = 229) consisted of young adults with an average age (20.97 ± 4.31) attending a Central Virginia Historically Black University. Reliability Analysis and Confirmatory Factor Analysis (CFA) were conducted. Correlations, as well as multivariate multiple linear regression models were estimated. Food Avoidance subscales demonstrated more internal consistency than the Food Approach subscales. The CFA results indicated a 7-factor model in which the Hunger subscale was eliminated to fit the data better overall. The Food Approach subscales demonstrated more convergent validity than the Food Avoidance subscales. BMI significantly predicted both Emotion Overeating and Emotional Undereating, as well as Food Fussiness. Moreover, both sex and age significantly predicted Emotional Undereating, Food Responsiveness and Hunger. Further, sex significantly predicted Emotional Overeating and Satiety Responsiveness. Lastly, depression predicted Emotional Undereating. In conclusion, this study provided some evidence to support the use of the AEBQ as a reliable and valid measure of adult eating behavior.

Funder

National Institute on Drug Abuse

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3