A graduated food addiction classification approach significantly differentiates obesity among people with type 2 diabetes

This study examined a graduated severity level approach to food addiction classification against associations with World Health Organization obesity classifications (body mass index, kg/m2) among 408 people with type 2 diabetes. A survey including the Yale Food Addiction Scale and several demographi...

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Veröffentlicht in:Journal of health psychology 2018-12, Vol.23 (14), p.1781-1789
Hauptverfasser: Raymond, Karren-Lee, Kannis-Dymand, Lee, Lovell, Geoff P
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creator Raymond, Karren-Lee
Kannis-Dymand, Lee
Lovell, Geoff P
description This study examined a graduated severity level approach to food addiction classification against associations with World Health Organization obesity classifications (body mass index, kg/m2) among 408 people with type 2 diabetes. A survey including the Yale Food Addiction Scale and several demographic questions demonstrated four distinct Yale Food Addiction Scale symptom severity groups (in line with Diagnostic and Statistical Manual of Mental Disorders (5th ed.) severity indicators): non-food addiction, mild food addiction, moderate food addiction and severe food addiction. Analysis of variance with post hoc tests demonstrated each severity classification group was significantly different in body mass index, with each grouping being associated with increased World Health Organization obesity classifications. These findings have implications for diagnosing food addiction and implementing treatment and prevention methodologies of obesity among people with type 2 diabetes.
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source Applied Social Sciences Index & Abstracts (ASSIA); SAGE Complete A-Z List
subjects Addictions
Body mass index
Classification
Diabetes
Diabetics
Diagnostic and Statistical Manual
Food
Healthy food
Mental disorders
Obesity
Prevention programs
Severity
Type 2 diabetes mellitus
title A graduated food addiction classification approach significantly differentiates obesity among people with type 2 diabetes
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