Trial reportContemporary clinical trials2016
The BestFIT trial: A SMART approach to developing individualized weight loss treatments.
Trial report in Contemporary clinical trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02368002 (Evaluating Options for Non-Responders), which is not on this map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluating Options for Non-Responders: A SMART Approach to Enhancing Weight Loss
Who cites it
31 citing papers in PubMed, 45 citations in OpenAlex.
- Understanding Heterogeneity in Individual Responses to Digital Lifestyle Intervention Through Self-Monitoring Adherence Trajectories in Adults With Overweight or Obesity: Secondary Analysis of a 6-Month Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- BestFIT Sequential Multiple Assignment Randomized Trial Results: A SMART Approach to Developing Individualized Weight Loss Treatment Sequences.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022Trial
- Optimal allocation to treatments in a sequential multiple assignment randomized trial.Statistical methods in medical research · 2021Trial
- Trial
- Within-trial data borrowing for sequential multiple assignment randomized trials.Biostatistics (Oxford, England) · 2025Article
- Qualitative Exploration of a Tele-exercise Program to Inform the Design of Adaptive Intervention Strategies for Adults With Multiple Sclerosis.Archives of rehabilitation research and clinical translation · 2025Article
- Efficient and robust approaches for analysis of sequential multiple assignment randomized trials: Illustration using the ADAPT-R trial.Biometrics · 2023Article
- Increasing Physical Activity in Persons With Spinal Cord Injury With an eHealth-Based Adaptive Exercise Intervention: Protocol for a Sequential Multiple Assignment Randomized Trial.JMIR research protocols · 2023Article
- Optimizing adaptive stepped-care interventions to change adults' health behaviors: A systematic review.Journal of clinical and translational science · 2023Review
- Strategies to improve the implementation of intensive lifestyle interventions for obesity.Frontiers in public health · 2023Article
- Reaching high-risk Black adults for diabetes prevention programming during a pandemic: The design of Fit & Faithful a randomized controlled community trial.Contemporary clinical trials · 2022Article
- An Acceptance Based Lifestyle Intervention in Black Breast Cancer Survivors with Obesity.Journal of immigrant and minority health · 2022Article
- Association of childhood abuse with behavioral weight-loss outcomes: Examining the mediating effect of binge eating severity.Obesity (Silver Spring, Md.) · 2022Article
- Seeking a pot of gold with integrated behavior therapy and research to improve health equity: insights from the RAINBOW trial for obesity and depression.Translational behavioral medicine · 2021Article
- A science of collaborative learning health systems.Learning health systems · 2021Article
- Discrepancies Between Clinician and Participant Intervention Adherence Ratings Predict Percent Weight Change During a Six-Month Behavioral Weight Loss Intervention.Translational behavioral medicine · 2021Article
- A Pragmatic Approach to Translating Low- and Very Low-Carbohydrate Diets Into Clinical Practice for Patients With Obesity and Type 2 Diabetes.Frontiers in nutrition · 2021Article
- Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2020Article
- Study protocol for a sequential multiple assignment randomized trial (SMART) to improve physical activity in employed women.Contemporary clinical trials · 2020Article
- Early weight loss in a standalone mHealth intervention predicting treatment success.Obesity science & practice · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.