scholarly journals Prediction of eating disorder treatment response trajectories via machine learning does not improve performance versus a simpler regression approach

2021 ◽  
Author(s):  
Hallie Espel‐Huynh ◽  
Fengqing Zhang ◽  
J. Graham Thomas ◽  
James F. Boswell ◽  
Heather Thompson‐Brenner ◽  
...  
Keyword(s):  
Machine Learning ◽  
Eating Disorder ◽  
Treatment Response ◽  
Improve Performance ◽  
Eating Disorder Treatment ◽  
Regression Approach ◽  
Disorder Treatment

scholarly journals Latent trajectories of eating disorder treatment response among female patients in residential care

2020 ◽  
Vol 53 (10) ◽  
pp. 1647-1656 ◽  
Author(s):  
Hallie M. Espel‐Huynh ◽  
Fengqing Zhang ◽  
James F. Boswell ◽  
John Graham Thomas ◽  
Heather Thompson‐Brenner ◽  
...  
Keyword(s):  
Eating Disorder ◽  
Treatment Response ◽  
Residential Care ◽  
Female Patients ◽  
Eating Disorder Treatment ◽  
Disorder Treatment ◽  
Latent Trajectories

Cost-utility analysis of eating disorder treatment

2011 ◽  
Author(s):  
V. Pohjolainen ◽  
P. Rasanen ◽  
R. P. Roine ◽  
H. Sintonen ◽  
K. Wahlbeck ◽  
...  
Keyword(s):  
Eating Disorder ◽  
Cost Utility ◽  
Cost Utility Analysis ◽  
Utility Analysis ◽  
Eating Disorder Treatment ◽  
Disorder Treatment

Evidence that a novel transdiagnostic eating disorder treatment reduces reward region response to the thin beauty ideal and high-calorie binge foods

2021 ◽  
pp. 1-11
Author(s):  
Eric Stice ◽  
Sonja Yokum ◽  
Paul Rohde ◽  
Jeff Gau ◽  
Heather Shaw
Keyword(s):  
Eating Disorder ◽  
Brain Imaging ◽  
Small Samples ◽  
Average Weight ◽  
Imaging Data ◽  
Eating Disorder Treatment ◽  
Disorder Treatment ◽  
Reward Valuation ◽  
Larger Sample ◽  
High Calorie

Abstract Background Findings from brain imaging studies with small samples can show limited reproducibility. Thus, we tested whether the evidence that a transdiagnostic eating disorder treatment reduces responsivity of brain valuation regions to thin models and high-calorie binge foods, the intervention targets, from a smaller earlier trial emerged when we recruited additional participants. Methods Women with DSM-5 eating disorders (N = 138) were randomized to the dissonance-based body project treatment (BPT) or a waitlist control condition and completed functional magnetic resonance imaging (fMRI) scans assessing neural response to thin models and high-calorie foods at pretest and posttest. Results BPT v. control participants showed significantly greater reductions in responsivity of regions implicated in reward valuation (caudate) and attentional motivation (precuneus) to thin v. average-weight models, echoing findings from the smaller sample. Data from this larger sample also provided novel evidence that BPT v. control participants showed greater reductions in responsivity of regions implicated in reward valuation (ventrolateral prefrontal cortex) and food craving (hippocampus) to high-calorie binge foods v. low-calorie foods, as well as significantly greater reductions in eating disorder symptoms, abstinence from binge eating and purging behaviors, palatability ratings for high calorie foods, monetary value for high-calorie binge foods, and significantly greater increases in attractiveness ratings of average weight models. Conclusions Results from this larger sample provide evidence that BPT reduces valuation of the thin ideal and high-calorie binge foods, the intervention targets, per objective brain imaging data, and produces clinically meaningful reductions in eating pathology.

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