Trial reportJMIR mHealth and uHealth2020
Effectiveness of an mHealth Intervention Combining a Smartphone App and Smart Band on Body Composition in an Overweight and Obese Population: Randomized Controlled Trial (EVIDENT 3 Study).
Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03175614 (EVIDENT3 Study), which is not on this map. Cited by 29 papers, 6 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.
EVIDENT3 Study: A Randomized, Controlled Clinical Trial to Reduce Inactivity and Caloric Intake in Sedentary, Overweight People Using a Smartphone Application. Study Protocol.
Who cites it
29 citing papers in PubMed, 6 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- 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
- Automated lifestyle interventions and weight loss: a systematic review of randomized controlled trials.International journal of obesity (2005) · 2025Pooled it
- Pooled it
- Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.The Cochrane database of systematic reviews · 2024Pooled it
- The Effectiveness of Wearable Devices as Physical Activity Interventions for Preventing and Treating Obesity in Children and Adolescents: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- Wearable-Measured Physical Activity Goal Adherence and Body Composition Change in a 12-Month mHealth Weight Loss Trial.Sensors (Basel, Switzerland) · 2026Trial
- Effects of an Exercise Intervention Based on mHealth Technology on the Physical Health of Male University Students With Overweight and Obesity: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Efficacy of an app-based multimodal lifestyle intervention on body weight in persons with obesity: results from a randomized controlled trial.International journal of obesity (2005) · 2024Trial
- Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- Effect of Mobile-Based Lifestyle Intervention on Weight Loss among the Overweight and Obese Elderly Population in China: A Randomized Controlled Trial.International journal of environmental research and public health · 2021Trial
- Privacy Policy Compliance of Mobile Sports and Health Apps in China: Scale Development, Data Analysis, and Prospects for Regulatory Reform.JMIR mHealth and uHealth · 2026Article
- Improved dietary intake and readiness among United States Navy Future Sailors following mobile health application use.Frontiers in digital health · 2026Article
- Guideline-Based Digital Exercise Interventions for Reducing Body Weight and Fat and Promoting Physical Activity in Adults With Overweight and Obesity: Systematic Review and Meta-Analysis.Interactive journal of medical research · 2025Review
- Recommender systems use in weight management mHealth interventions: A scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Article
- The role of mobile health applications (mHealth apps) in reshaping the body weight for better healthcare: A cross-sectional study.Pakistan journal of medical sciences · 2024Article
- Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity.Scientific reports · 2024Article
- Can Digital Technologies Be Useful for Weight Loss in Individuals with Overweight or Obesity? A Systematic Review.Healthcare (Basel, Switzerland) · 2024Review
- Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity.International journal of environmental research and public health · 2024Review
- Evaluation of physical activity before and after respiratory rehabilitation in normal weight individuals with asthma: a feasibility study.Frontiers in sports and active living · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health (mHealth) is currently among the supporting elements that may contribute to an improvement in health markers by helping people adopt healthier lifestyles. mHealth interventions have been widely reported to achieve greater weight loss than other approaches, but their effect on body composition remains unclear.
objectiveThis study aimed to assess the short-term (3 months) effectiveness of a mobile app and a smart band for losing weight and changing body composition in sedentary Spanish adults who are overweight or obese.
methodsA randomized controlled, multicenter clinical trial was conducted involving the participation of 440 subjects from primary care centers, with 231 subjects in the intervention group (IG; counselling with smartphone app and smart band) and 209 in the control group (CG; counselling only). Both groups were counselled about healthy diet and physical activity. For the 3-month intervention period, the IG was trained to use a smartphone app that involved self-monitoring and tailored feedback, as well as a smart band that recorded daily physical activity (Mi Band 2, Xiaomi). Body composition was measured using the InBody 230 bioimpedance device (InBody Co., Ltd), and physical activity was measured using the International Physical Activity Questionnaire.
resultsThe mHealth intervention produced a greater loss of body weight (-1.97 kg, 95% CI -2.39 to -1.54) relative to standard counselling at 3 months (-1.13 kg, 95% CI -1.56 to -0.69). Comparing groups, the IG achieved a weight loss of 0.84 kg more than the CG at 3 months. The IG showed a decrease in body fat mass (BFM; -1.84 kg, 95% CI -2.48 to -1.20), percentage of body fat (PBF; -1.22%, 95% CI -1.82% to 0.62%), and BMI (-0.77 kg/m
conclusionsThe results from this multicenter, randomized controlled clinical trial study show that compared with standard counselling alone, adding a self-reported app and a smart band obtained beneficial results in terms of weight loss and a reduction in BFM and PBF in female subjects with a BMI less than 30 kg/m
trial registrationClinicaltrials.gov NCT03175614; https://clinicaltrials.gov/ct2/show/NCT03175614. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1097/MD.0000000000009633.
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What Socratic 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 Socratic graph.