Trial reportJournal of medical Internet research2020
Personalized Web-Based Weight Loss Behavior Change Program With and Without Dietitian Online Coaching for Adults With Overweight and Obesity: Randomized Controlled Trial.
Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03435445 (Use of Web as a Tool to Promote Weight Loss in Overweight and Obese Adults), which is not on this map. Cited by 37 papers, 10 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.
Use of Web as a Tool to Promote Weight Loss in Overweight and Obese Adults
Who cites it
37 citing papers in PubMed, 10 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Commercially available mobile health applications for obesity across the lifespan: a systematic search and quality assessment.International journal of obesity (2005) · 2026Pooled it
- Digital Mental Health Interventions in Obesity Management: A Systematic Review and Evidence-Based Recommendations.Current obesity reports · 2026Pooled it
- Evaluation of the Aspects of Digital Interventions That Successfully Support Weight Loss: Systematic Review With Component Network Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Impact of feedback generation and presentation on self-monitoring behaviors, dietary intake, physical activity, and weight: a systematic review and meta-analysis.The international journal of behavioral nutrition and physical activity · 2024Pooled it
- The Effectiveness of Strategies to Improve User Engagement With Digital Health Interventions Targeting Nutrition, Physical Activity, and Overweight and Obesity: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2023Pooled it
- Effectiveness of Computer-Tailored Health Communication in Increasing Physical Activity in People With or at Risk of Long-Term Conditions: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2023Pooled it
- Medical Nutrition Therapy Interventions Provided by Dietitians for Adult Overweight and Obesity Management: An Academy of Nutrition and Dietetics Evidence-Based Practice Guideline.Journal of the Academy of Nutrition and Dietetics · 2023Guideline
- Effects of women with gestational diabetes mellitus related weight gain on pregnancy outcomes and its experiences in weight management programs: a mixed-methods systematic review.Frontiers in endocrinology · 2023Pooled it
- Pooled it
- A systematic review of the use of dietary self-monitoring in behavioural weight loss interventions: delivery, intensity and effectiveness.Public health nutrition · 2021Pooled it
- Effectiveness of a Blended Intervention to Promote Physical Activity Among Office Employees: Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- A Real-Life Digital Intervention for Personalized Nutrition in Adults With Overweight or Obesity: Remote Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- An Evaluation of a Personalized Multicomponent Commercial Digital Weight Management Program: Single-Arm Behavioral Trial.Journal of medical Internet research · 2023Trial
- Effects of a Web-Based Lifestyle Intervention on Weight Loss and Cardiometabolic Risk Factors in Adults With Overweight and Obesity: Randomized Controlled Clinical Trial.Journal of medical Internet research · 2023Trial
- Evaluation of an Interactive Web-Based Health Program for Weight Loss-A Randomized Controlled Trial.International journal of environmental research and public health · 2022Trial
- Influence of Baseline User Characteristics and Early Use Patterns (24-Hour) on Long-Term Adherence and Effectiveness of a Web-Based Weight Loss Randomized Controlled Trial: Latent Profile Analysis.Journal of medical Internet research · 2021Trial
- Weight Loss and Engagement Among Active Users of a Dietitian-Led Digital Nutrition Platform: Retrospective Cohort Study.JMIR mHealth and uHealth · 2026Article
- Social media as a self-reported source of weight-loss information: a cross-sectional comparison with traditional sources among Arab young adults.Frontiers in nutrition · 2026Article
- Tailored Therapeutic Strategies for Fetuses, Neonates, Pediatrics, Geriatrics, Athletes, and Critical Cases in the Era of Personalized Medicine.Diseases (Basel, Switzerland) · 2025Review
- Impacts of Behavioral Compliance on Weight-Loss and Metabolic Profile in a Smartphone App-Based Lifestyle Intervention or Plus Dietitian Supporting: A Randomized and Controlled Trial Among Chinese.Phenomics (Cham, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe effect of computer- or human-delivered personalized feedback on the effectivess of web-based behavior change platforms for weight loss is unclear.
objectiveWe aimed to compare the effectiveness of a web-based behavior change intervention personalized through either computerized or human-delivered feedback with a nonpersonalized intervention in promoting weight loss in community-based adults with overweight or obesity.
methodsThis pragmatic, 3-group, parallel-arm, randomized trial recruited students and staff in a Brazilian public university who were aged 18 to 60 years, had a BMI of ≥25 kg/m
resultsAmong the 1298 participants, 375 (28.89%) were lost to follow-up. In the intention-to-treat analysis, the platform-only and platform plus coaching groups had greater mean weight loss than the waiting-list group at 24 weeks (-1.08 kg, 95% CI -1.41 to -0.75 vs -1.57 kg, 95% CI -1.92 to -1.22 vs -0.66 kg, 95% CI -0.98 to -0.34, respectively). The platform-only and platform plus coaching groups, compared with the waiting list group, had a greater increase in the consumption of vegetables (3%, 95% CI 1% to 6% vs 5%, 95% CI 2% to 8% vs -3%, 95% CI -5% to 0%) and fruits (9%, 95% CI 6% to 12% vs 6%, 95% CI 2% to 9% vs 2%, 95% CI 0% to 6%) and a larger reduction in ultraprocessed food intake (-18%, 95% CI -23% to -13% vs -25%, 95% CI -30% to -20% vs -12%, 95% CI -16% to -8%). Changes in physical activity did not differ across the groups. Engagement was higher in the platform plus coaching group than in the platform-only group (7.6 vs 5.2 completed sessions; P=.007). Longer usage of the platform was associated with clinically meaningful (≥5%) weight loss (odds ratio 1.02, 95% CI 1.01 to 1.04).
conclusionsThe web-based behavior change programs with computer- and human-delivered personalized feedback led to greater, albeit small-magnitude, weight loss within 24 weeks. Improvement in multiple dietary habits, but not physical activity, were also greater in the personalized programs compared with the nonpersonalized one. The human-delivered personalized feedback by the online dietitian coach increased user engagement with the program and was associated with a significantly higher chance of clinically meaningful weight loss.
trial registrationClinicalTrials.gov NCT03435445; https://clinicaltrials.gov/ct2/show/NCT03435445. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/10.1186/s12889-018-5882-y.
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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.