Foods and Nutritional Characteristics Associated With Addictive-Like Eating

Author:

Neff Kirstie M. Herb1,Fay Angela1,Saules Karen K.1ORCID

Affiliation:

1. Department of Psychology, Eastern Michigan University, Ypsilanti, MI, USA

Abstract

Emerging literature is exploring the contribution of specific nutritional characteristics and food additives to the development of addictive-like eating, implicating highly processed foods and those high in fat and sugar in its pathophysiology. To our knowledge, no mixed methods study has yet aimed to investigate the relationship between food characteristics and addictive-like eating. Towards this end, we applied an a priori classification scheme to open-ended answers to enable us to use quantitative methods to analyze qualitative data. A sample of individuals who endorsed self-perceived “food addiction” (N = 182; 50% female; Mage = 34.1) reported the foods to which they believed they were “addicted.” We classified these foods according to their levels of fat, carbohydrates, sugar, and sodium, and evaluated their predictive power on addictive-like eating. Pizza, chocolate, hamburgers, and pasta respectively, were the most reported food items to which participants felt they were addicted. Addictive-like eating was significantly predicted by endorsement of “addiction” to high-sodium foods. In contrast, “addiction” to high-sugar foods negatively predicted addictive-like eating symptoms. Findings support an association between highly processed and high-sodium foods with addictive-like eating behavior among humans, consistent in large part with prior human and animal literature. Results also suggest that people are readily able to report on their experiences of addiction to foods; specifically, they can freely endorse the experience of addictive-like eating and offer experiences of addictive foods that are largely consistent with theory and the literature.

Publisher

SAGE Publications

Subject

General Psychology

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