Trial reportBMC public health2015
Effectiveness of a Smartphone application and wearable device for weight loss in overweight or obese primary care patients: protocol for a randomised controlled trial.
Trial report in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers, 1 of them a synthesis 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.
Efficacy of a Mobile Application for Weight Loss in Overweight and Obese Adults: A Randomized Controlled Trial
Self-administered Auricular Acupressure Integrated With a Smartphone Application for Weight Reduction in Patients With Obesity Accompanied With Obesity-related Comorbid Illness: A Randomised Controlled Clinical Trial
Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2019Pooled it
- Hourly step recommendations to achieve daily goals for working and older adults.Communications medicine · 2024Article
- Weight Reduction Interventions Using Digital Health for Employees with Obesity: A Systematic Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Review
- Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care.Proceedings of the ACM on human-computer interaction · 2019Article
- Data Work: Meaning-Making in the Era of Data-Rich Medicine.Journal of medical Internet research · 2019Article
- Self-Administered Auricular Acupressure Integrated With a Smartphone App for Weight Reduction: Randomized Feasibility Trial.JMIR mHealth and uHealth · 2019Article
- Evaluation of mobile applications related to nutrition.Public health nutrition · 2019Article
- Creation of Data Repositories to Advance Nursing Science.Western journal of nursing research · 2019Article
- Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review.JMIR mHealth and uHealth · 2018Review
- Detecting Acute Otitis Media Symptom Episodes Using a Mobile App: Cohort Study.JMIR mHealth and uHealth · 2017Article
- Association Between Smartphone Use and Musculoskeletal Discomfort in Adolescent Students.Journal of community health · 2017Article
- Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial.JMIR mHealth and uHealth · 2017Article
- Interventions for Preventing Childhood Obesity with Smartphones and Wearable Device: A Protocol for a Non-Randomized Controlled Trial.International journal of environmental research and public health · 2017Article
- The association between body mass index and duration spent on electronic devices in children and adolescents in Western Saudi Arabia.Saudi medical journal · 2016Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo evaluate the effectiveness of an experimental intervention based on standard diet recommendations plus free Smartphone application (app) and wearable device for weight loss, compared with the standard diet intervention alone, in primary care patients aged 18 years or older who are overweight or obese. METHODS/
designMulticentre randomized, controlled clinical trial. LOCATION: Primary health care centres in the city of Tarragona and surrounding areas. SUBJECTS: 70 primary care patients, aged 18 years or older, with body mass index of 25 g/m2 or greater who wish to lose weight. Description of the intervention: 12 months of standard diet recommendations without (n = 35) or with (n = 35) assistance of a free Smartphone app that allows the participant to maintain a record of dietary intake and a bracelet monitor that records physical activity. The outcomes will be weight loss at 12 months (primary outcome), changes in physical activity and cardiometabolic risk factors, frequency of app use, and participant satisfaction after 12 months. DISCUSSION: The results of our study will offer evidence of the effectiveness of an intervention using one of the most popular free apps and wearable devices in achieving weight loss among patients who are overweight or obese. If these new technologies are proven effective in our population, they could be readily incorporated into primary care interventions promoting healthy weight. The open design and study characteristics make it impossible for the participants and researchers to be blinded to study group assignment. Researchers responsible for data analysis will be blinded to participant allocation.
trial registrationClinical Register: NCT02417623. Registered 26 March 2015.
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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.