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Updated: Mar 8, 2026

Multidisciplinary Approach to Obesity Management: A Case Report

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

Executive functions predict weight loss in a medically supervised weight loss programme.

R Galioto¹, D Bond², J Gunstad³

¹Department of Psychiatry Rhode Island Hospital Providence RI USA; Department of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence RI USA.

Obesity Science & Practice

|January 17, 2017

Summary

This summary is machine-generated.

Poorer cognitive flexibility and higher impulsivity are linked to less weight loss in supervised programs. Assessing executive functions before treatment may identify individuals needing extra support for weight management.

Keywords:

Behavioural weight loss cognition executive functions neuropsychology

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Area of Science:

Psychology
Neuroscience
Obesity Research

Background:

Executive function deficits are linked to reduced weight loss post-bariatric surgery.
The impact of executive function deficits on non-surgical weight loss program outcomes is less understood.

Purpose of the Study:

To investigate the association between objectively measured executive functions and weight loss in a medically supervised weight loss program.

Main Methods:

Twenty-three adult patients in a medically supervised weight loss program underwent baseline computerized executive function testing.
Weight was measured at baseline and 8 weeks; demographic and clinical data were collected via chart review.

Main Results:

Participants achieved an average weight loss of 9.8% at 8 weeks.
Poorer performance on set-shifting (cognitive flexibility) and faster reaction times on response inhibition (impulsivity) correlated with lower weight loss.
No significant associations were found between working memory/planning and weight loss.

Conclusions:

Impaired cognitive flexibility and increased impulsivity are associated with reduced weight loss in supervised programs.
Pre-treatment executive function assessment could identify individuals at risk for suboptimal weight loss outcomes.
Further research with larger samples is needed to confirm findings and explore mechanisms.