Trial reportContemporary clinical trials2014
Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol.
Trial report in Contemporary clinical trials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 2 registered trials, which are not on this map. Cited by 53 papers, 2 of them syntheses that pooled it.
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.
Opt-IN: Optimization of Remotely Delivered Intensive Lifestyle Treatment for Obesity
Physical Activity in Adolescents With Chronic Kidney Disease
Who cites it
53 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Group-based exercise interventions for increasing physical activity in cancer survivors: a systematic review of face-to-face randomized and non-randomized trials.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019Pooled it
- Scalable Telehealth Cancer Care: integrated healthy lifestyle program to live well after cancer treatment.Journal of the National Cancer Institute. Monographs · 2024Trial
- A Hybrid Evaluation-Optimization Trial to Evaluate an Intervention Targeting the Intersection of Alcohol and Sex in College Students and Simultaneously Test an Additional Component Aimed at Preventing Sexual Violence.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2021Trial
- A Factorial Experiment to Optimize Remotely Delivered Behavioral Treatment for Obesity: Results of the Opt-IN Study.Obesity (Silver Spring, Md.) · 2020Trial
- Pilot test of a novel food response and attention training treatment for obesity: Brain imaging data suggest actions shape valuation.Behaviour research and therapy · 2017Trial
- Effectiveness of differing levels of support for family meals on obesity prevention among head start preschoolers: the simply dinner study.BMC public health · 2017Trial
- Application of the multiphase optimization strategy to a pilot study: an empirical example targeting obesity among children of low-income mothers.BMC public health · 2016Trial
- Optimizing an extended care intervention to promote weight loss maintenance: Protocol for the OPT-X multiphase optimization strategy factorial trial.Contemporary clinical trials · 2026Article
- Perceived barriers and facilitators to engagement and behavioral enactment in weight management interventions among racial and ethnic minorities.Discover public health · 2026Article
- Gamified Optimized Diabetes Management With Artificial Intelligence-Powered Rural Telehealth Intervention (GODART): Protocol for an Optimization Pilot and Feasibility Trial.JMIR research protocols · 2025Article
- Article
- A machine-learned model for predicting weight loss success using weight change features early in treatment.NPJ digital medicine · 2024Article
- An Innovative Approach to Promote Weight Loss Among Mexican Immigrants: A Pilot Study.Journal of immigrant and minority health · 2024Article
- Distributive randomization: a pragmatic fractional factorial design to screen or evaluate multiple simultaneous interventions in a clinical trial.BMC medical research methodology · 2024Article
- An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study.Journal of medical Internet research · 2023Article
- Optimizing intervention components for sleep promotion in children in the context of obesity prevention: the SLEEPY 2.0 study protocol.Frontiers in sleep · 2023Article
- A Pilot Group-Based Lifestyle Intervention to Promote Weight Loss Among Mexican Immigrants.Journal of community health · 2022Article
- Optimizing intervention tools to improve nutrition and physical activity for colorectal cancer survivors (Tools To Be Fit): Study protocol of a randomized factorial experiment.Contemporary clinical trials · 2022Article
- Optimizing an mHealth Intervention to Improve Uptake and Adherence to HIV Pre-exposure Prophylaxis in Young Transgender Women: Protocol for a Multi-Phase Trial.JMIR research protocols · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
backgroundObesity-attributable medical expenditures remain high, and interventions that are both effective and cost-effective have not been adequately developed. The Opt-IN study is a theory-guided trial using the Multiphase Optimization Strategy (MOST) to develop an optimized, scalable version of a technology-supported weight loss intervention.
objectiveOpt-IN aims to identify which of 5 treatment components or component levels contribute most meaningfully and cost-efficiently to the improvement of weight loss over a 6 month period. STUDY
designFive hundred and sixty obese adults (BMI 30-40 kg/m(2)) between 18 and 60 years old will be randomized to one of 16 conditions in a fractional factorial design involving five intervention components: treatment intensity (12 vs. 24 coaching calls), reports sent to primary care physician (No vs. Yes), text messaging (No vs. Yes), meal replacement recommendations (No vs. Yes), and training of a participant's self-selected support buddy (No vs. Yes). During the 6-month intervention, participants will monitor weight, diet, and physical activity on the Opt-IN smartphone application downloaded to their personal phone. Weight will be assessed at baseline, 3, and 6 months. SIGNIFICANCE: The Opt-IN trial is the first study to use the MOST framework to develop a weight loss treatment that will be optimized to yield the best weight loss outcome attainable for $500 or less.
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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.