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Updated: Sep 5, 2025

Control of Eating Behavior Using a Novel Feedback System
Published on: May 8, 2018
Evaluating environmental and inhibitory control strategies to improve outcomes in a widely available weight loss
Nenette A Cáceres1, Qihan Yu1, Jessica Capaldi1
1Cedars-Sinai Medical Center, Los Angeles, CA, United States of America.
Background:
Although many people try to lose weight, a large proportion of individuals do not achieve clinically significant weight loss. Nonresponse and relapse rates in lifestyle interventions are largely explained by challenges in avoiding or resisting temptation in the context of omnipresent food access. Innovative enhancement strategies are needed to help individuals manage temptation in evidence-based lifestyle interventions.
Methods:
This prospective, four-parallel-arm, randomized controlled trial tests the efficacy of two weight management enhancement strategies on weight and dietary outcomes among individuals with overweight or obesity: (1) an environmental control strategy combining modification of the home food environment and grocery delivery (AVOID) and (2) an impulse control strategy involving daily, gamified inhibitory control training (RESIST). Women and men (n = 500) with overweight or obesity (Body Mass Index between 25 and 40.0 kg/m2) will be enrolled in a 12-month commercial weight-loss program (WW, formerly Weight Watchers©) and randomly assigned to one of four conditions: (1) WW alone, (2) WW + AVOID, (3) WW + RESIST, or (4) WW + AVOID + RESIST. Anthropometric, dietary, cognitive, and household food environment assessments will be conducted in English or Spanish at enrollment and at 6- and 12-month follow-up.
Discussion:
This research addresses the pragmatic question of how to best optimize behavior change: Should we modify the choice environment, strengthen individuals' self-regulation, or both, to maximize behavior change? This work can inform the development of enhancement strategies to promote adherence to lifestyle recommendations and other impulse control challenges.
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