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A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
The eating-related behaviours, disorders and expectations of candidates for bariatric surgery
M Opolski1,2, A Chur-Hansen1, G Wittert2
1School of Psychology, University of Adelaide, Adelaide, Australia.
Abstract:
It is important that clinicians and researchers understand the possible eating-related difficulties experienced by pre-bariatric surgery candidates, as well as their expectations of how their eating and hunger will change after surgery. This review examines English-language publications related to the eating-related behaviours, disorders and expectations of bariatric candidates. Seventy-five articles related to binge eating disorder, grazing, night eating syndrome, emotional eating, food cravings and addiction, and pre-surgical expectations of post-surgical eating in this population were critically reviewed. A variety of often problematic eating behaviours appear more common in bariatric candidates than in non-obese populations. The literature suggests that 4-45% of candidates may have binge eating disorder, 20-60% may graze, 2-42% may have night eating syndrome, 38-59% may engage in emotional eating and 17-54% may fit criteria for food addiction. Binge eating may also be more prevalent in bariatric candidates than in similarly obese non-surgical individuals. Expectations of surgery are high, with pre-surgical candidates believing their bariatric procedure will virtually guarantee significantly improved eating behaviours. Study replications are needed, and further investigation into prevalence, impacts and candidate characteristics related to disordered eating behaviours, as well as candidates' expectations of eating after surgery, will be important. Further comparisons of bariatric candidates to similarly obese non-bariatric populations will be important to understand eating-related characteristics of candidates beyond those related to their weight. Future research may be improved by the use of validated measures, replicable methodologies, minimization of data collected in circumstances where respondents may been motivated to 'fake good', use of prospective data and consistent definitions of key terminology.
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