Trial reportThe lancet. Diabetes & endocrinology2016
Using social and mobile tools for weight loss in overweight and obese young adults (Project SMART): a 2 year, parallel-group, randomised, controlled trial.
Trial report in The lancet. Diabetes & endocrinology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 87 papers, 20 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.
SMART: A Social and Mobile Weight Control Program for Young Adults
MyLife: A Digital Health Coaching Program Encouraging Healthy Behaviors in Patients at Risk for Lifestyle-related Chronic Diseases
SMART 2.0: Social Mobile Approaches to Reducing weighT in Young Adults
Who cites it
87 citing papers in PubMed, 20 syntheses or guidelines pooled it, 154 citations in OpenAlex.
- Empowering Health Through Digital Lifelong Prevention: An Umbrella Review of Apps and Wearables for Nutritional Management.Nutrients · 2025Pooled it
- Behavior Change Resources Used in Mobile App-Based Interventions Addressing Weight, Behavioral, and Metabolic Outcomes in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2025Pooled it
- Systematic review exploring human, AI, and hybrid health coaching in digital health interventions: trends, engagement, and lifestyle outcomes.Frontiers in digital health · 2025Pooled it
- Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.The Cochrane database of systematic reviews · 2024Pooled it
- Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression.International journal of obesity (2005) · 2023Pooled it
- Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis.Journal of medical Internet research · 2023Pooled it
- The Impact of Social Media Interventions on Weight Reduction and Physical Activity Improvement Among Healthy Adults: Systematic Review.Journal of medical Internet research · 2023Pooled it
- A Systematic Review of Healthy Nutrition Intervention Programs in Kindergarten and Primary Education.Nutrients · 2023Pooled it
- Sustainability of Weight Loss Through Smartphone Apps: Systematic Review and Meta-analysis on Anthropometric, Metabolic, and Dietary Outcomes.Journal of medical Internet research · 2022Pooled it
- A systematic review of inequalities in the uptake of, adherence to, and effectiveness of behavioral weight management interventions in adults.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022Pooled it
- Recruiting and retaining young adults: what can we learn from behavioural interventions targeting nutrition, physical activity and/or obesity? A systematic review of the literature.Public health nutrition · 2021Pooled it
- Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population.The Cochrane database of systematic reviews · 2021Pooled it
- The impact of adult behavioural weight management interventions on mental health: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021Pooled it
- Use of Technology-Based Interventions in the Treatment of Patients with Overweight and Obesity: A Systematic Review.Nutrients · 2020Pooled it
- Pooled it
- Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review.Journal of medical Internet research · 2020Pooled it
- The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019Pooled it
- The use of social media in nutrition interventions for adolescents and young adults-A systematic review.International journal of medical informatics · 2018Pooled it
- Pooled it
- Social media use for nutrition outcomes in young adults: a mixed-methods systematic review.The international journal of behavioral nutrition and physical activity · 2018Pooled it
27 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundFew weight loss interventions are evaluated for longer than a year, and even fewer employ social and mobile technologies commonly used among young adults. We assessed the efficacy of a 2 year, theory-based, weight loss intervention that was remotely and adaptively delivered via integrated user experiences with Facebook, mobile apps, text messaging, emails, a website, and technology-mediated communication with a health coach (the SMART intervention).
methodsIn this parallel-group, randomised, controlled trial, we enrolled overweight or obese college students (aged 18-35 years) from three universities in San Diego, CA, USA. Participants were randomly assigned (1:1) to receive either the intervention (SMART intervention group) or general information about health and wellness (control group). We used computer-based permuted-block randomisation with block sizes of four, stratified by sex, ethnicity, and college. Participants, study staff, and investigators were masked until the intervention was assigned. The primary outcome was objectively measured weight in kg at 24 months. Differences between groups were evaluated using linear mixed-effects regression within an intention-to-treat framework. Objectively measured weight at 6, 12, and 18 months was included as a secondary outcome. The trial is registered with ClinicalTrials.gov, number NCT01200459.
findingsBetween May 18, 2011, and May 17, 2012, 404 individuals were randomly assigned to the intervention (n=202) or control (n=202). Participants' mean (SD) age was 22·7 (3·8) years. 284 (70%) participants were female and 125 (31%) were Hispanic. Mean (SD) body-mass index at baseline was 29·0 (2·8) kg/m(2). At 24 months, weight was assessed in 341 (84%) participants, but all 404 were included in analyses. Weight, adjusted for sex, ethnicity, and college, was not significantly different between the groups at 24 months (-0·79 kg [95% CI -2·02 to 0·43], p=0·204). However, weight was significantly less in the intervention group compared with the control group at 6 months (-1·33 kg [95% CI -2·36 to -0·30], p=0·011) and 12 months (-1·33 kg [-2·30 to -0·35], p=0·008), but not 18 months (-0·67 kg [95% CI -1·69 to 0·35], p=0·200). One serious adverse event in the intervention group (gallstones) could be attributable to rapid and excessive weight loss.
interpretationSocial and mobile technologies did not facilitate sustained reductions in weight among young adults, although these approaches might facilitate limited short-term weight loss.
fundingThe National Heart, Lung, and Blood Institute of the National Institutes of Health (U01 HL096715).
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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.