Trial reportObesity (Silver Spring, Md.)2015
Efficacy of SmartLoss, a smartphone-based weight loss intervention: results from a randomized controlled trial.
Trial report in Obesity (Silver Spring, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 11 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
72 citing papers in PubMed, 11 syntheses or guidelines pooled it, 123 citations in OpenAlex.
- Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.The Cochrane database of systematic reviews · 2024Pooled it
- Pooled 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
- Interventions Using Wearable Physical Activity Trackers Among Adults With Cardiometabolic Conditions: A Systematic Review and Meta-analysis.JAMA network open · 2021Pooled it
- Effectiveness of eHealth Nutritional Interventions for Middle-Aged and Older Adults: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- Effectiveness of Smartphone-Based Physical Activity Interventions on Individuals' Health Outcomes: A Systematic Review.BioMed research international · 2021Pooled it
- Use of Technology-Based Interventions in the Treatment of Patients with Overweight and Obesity: A Systematic Review.Nutrients · 2020Pooled it
- Pooled it
- Perspectives of People Who Are Overweight and Obese on Using Wearable Technology for Weight Management: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Pooled it
- A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management.Advances in nutrition (Bethesda, Md.) · 2017Pooled it
- Engagement With a Smartphone-Delivered Dietary Education Intervention and Its Relation to Dietary Intake and Cardiometabolic Risk Markers in People With Type 2 Diabetes: Secondary Analysis of a Randomized Controlled Trial.JMIR formative research · 2025Trial
- The effect of an app-based dietary education on dietary intake and cardiometabolic risk markers in people with type 2 diabetes: results from a randomized controlled trial.Nutrition journal · 2025Trial
- Mobile health behaviour change support system as independent treatment tool for obesity: a randomized controlled trial.International journal of obesity (2005) · 2024Trial
- The Personalized Nutrition Study (POINTS): evaluation of a genetically informed weight loss approach, a Randomized Clinical Trial.Nature communications · 2023Trial
- Challenges in defining successful adherence to calorie restriction goals in humans: Results from CALERIE™ 2.Experimental gerontology · 2022Trial
- Effects of a 2-Year Primary Care Lifestyle Intervention on Cardiometabolic Risk Factors: A Cluster-Randomized Trial.Circulation · 2021Trial
- Lifestyle Intervention Enabled by Mobile Technology on Weight Loss in Patients With Nonalcoholic Fatty Liver Disease: Randomized Controlled Trial.JMIR mHealth and uHealth · 2020Trial
- Telehealth-Based Health Coaching Increases m-Health Device Adherence and Rate of Weight Loss in Obese Participants.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020Trial
- Trial
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTest the efficacy of SmartLoss, a smartphone-based weight loss intervention, in a pilot study. DESIGN AND
methodsA 12-week randomized controlled trial. Adults (25 ≤ BMI ≤ 35 kg/m2) were randomized to SmartLoss (n = 20) or an attention-matched Health Education control group (n = 20). SmartLoss participants were prescribed a 1,200 to 1,400 kcal/d diet and were provided with a smartphone, body weight scale, and accelerometer that wirelessly transmitted body weight and step data to a website. In the SmartLoss Group, mathematical models were used to quantify dietary adherence based on body weight and counselors remotely delivered treatment recommendations based on these objective data. The Health Education group received health tips via smartphone. A mixed model determined if change in weight and other endpoints differed between the groups (baseline was a covariate).
resultsThe sample was 82.5% female. Mean ± SD baseline age, weight (kg), and BMI were 44.4 ± 11.8 years, 80.3 ± 11.5 kg, and 29.8 ± 2.9 kg/m2, respectively. One participant was lost to follow-up in each group before week 4. Weight loss was significantly (P < 0.001) larger in the SmartLoss (least squares mean ± SEM: -9.4 ± 0.5%) compared with the Health Education group (-0.6 ± 0.5%).
conclusionsSmartLoss efficaciously promote clinically meaningful weight loss compared with an attention-matched control group. Smartphone-based interventions might prove useful in intervention dissemination.
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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.