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The BestFIT trial: A SMART approach to developing individualized weight loss treatments
Journal article   Open access   Peer reviewed

The BestFIT trial: A SMART approach to developing individualized weight loss treatments

Nancy E Sherwood, Meghan L Butryn, Evan M Forman, Daniel Almirall, Elisabeth M Seburg, A Lauren Crain, Alicia S Kunin-Batson, Marcia G Hayes, Rona L Levy and Robert W Jeffery
Contemporary clinical trials, v 47
Mar 2016
PMID: 26825020
url
https://doi.org/10.1016/j.cct.2016.01.011View
Published, Version of Record (VoR) Open

Abstract

Obesity Adults Treatment Weight loss
Behavioral weight loss programs help people achieve clinically meaningful weight losses (8–10% of starting body weight). Despite data showing that only half of participants achieve this goal, a “one size fits all” approach is normative. This weight loss intervention science gap calls for adaptive interventions that provide the “right treatment at the right time for the right person.” Sequential Multiple Assignment Randomized Trials (SMART), use experimental design principles to answer questions for building adaptive interventions including whether, how, or when to alter treatment intensity, type, or delivery. This paper describes the rationale and design of the BestFIT study, a SMART designed to evaluate the optimal timing for intervening with sub-optimal responders to weight loss treatment and relative efficacy of two treatments that address self-regulation challenges which impede weight loss: 1) augmenting treatment with portion-controlled meals (PCM) which decrease the need for self-regulation; and 2) switching to acceptance-based behavior treatment (ABT) which boosts capacity for self-regulation. The primary aim is to evaluate the benefit of changing treatment with PCM versus ABT. The secondary aim is to evaluate the best time to intervene with sub-optimal responders. BestFIT results will lead to the empirically-supported construction of an adaptive intervention that will optimize weight loss outcomes and associated health benefits.

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39 citations in Scopus

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UN Sustainable Development Goals (SDGs)

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#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Medicine, Research & Experimental
Pharmacology & Pharmacy
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