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Trusting homeostatic cues versus accepting hedonic cues: A randomized controlled trial comparing two distinct mindfulness-based intervention components
Journal article   Peer reviewed

Trusting homeostatic cues versus accepting hedonic cues: A randomized controlled trial comparing two distinct mindfulness-based intervention components

Lindsay M. Martin, Hallie M. Espel-Huynh, Stephanie Marando-Blanck, Brittney C. Evans, Evan M. Forman, Meghan L. Butryn, Ruth A. Baer, Ruth Q. Wolever and James D. Herbert
Journal of contextual behavioral science, v 6(4), pp 409-417
01 Oct 2017

Abstract

Psychology Psychology, Clinical Social Sciences
Objective: Mindfulness-informed cognitive behavioral interventions for obesity are promising. However, results on the efficacy of such treatments are inconsistent which in part may be due to their substantially different methods of practice. This study is the first direct comparison of two theoretically distinct mindfulness-based weight loss approaches: increasing awareness of homeostatic/innate physiological cues versus hedonic/externally-driven cues for eating. Methods: Overweight adults were randomized to one of three group-based workshops: Mindful Eating (ME; n = 21), Mindful Decision-Making (MD; n = 17), or active standard behavioral control (SC; n = 19). Outcome measures included percent weight change and reduction in caloric intake from baseline to 6 weeks. Results: Differences in weight loss and calorie reduction did not differ significantly among groups. However, the difference in weight loss between the MD and ME groups trended towards significance, with medium-large effect sizes. Conclusions: Results provide modest preliminary evidence for the utility of mindful decision-making strategies over mindful eating for short-term weight loss and calorie reduction.

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10 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#5 Gender Equality
#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Psychology, Clinical
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