Evidence map›Paper›PMID 30622090›Full record

SynthesisJournal of medical Internet research2019

Web-Based Digital Health Interventions for Weight Loss and Lifestyle Habit Changes in Overweight and Obese Adults: Systematic Review and Meta-Analysis.

Alline M Beleigoli, Andre Q Andrade, Alexandre G Cançado, Matheus Nl Paulo, Maria De Fátima H Diniz, Antonio L Ribeiro

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06426446 (Monitoring Patients With Severe Obesity Treated With Wegovy® Using Connected Device), which is not on this map. Cited by 167 papers, 26 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 26 pooled it
32.0field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT06426446 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Monitoring Patients With Severe Obesity Treated With Wegovy® Using Connected Device: Real-world Data

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2024 to 2025Enrolled80ConditionsObesityArmsWithings Body Comp Pro
3 · Its place in the literature

Who cites it

167 citing papers in PubMed, 26 syntheses or guidelines pooled it, 300 citations in OpenAlex.

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  4. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  11. Guideline
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  16. The utility of website-based quality improvement tools for health professionals: a systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
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107 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Alline M BeleigoliInternal Medicine Department, Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-7848-3183
Andre Q AndradeQuality Use of Medicines and Pharmacy Research Center, School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.ORCID 0000-0001-6587-3169
Alexandre G CançadoInternal Medicine Department, Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-8558-3676
Matheus Nl PauloInternal Medicine Department, Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-0942-6636
Maria De Fátima H DinizInternal Medicine Department, Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0001-9146-5003
Antonio L RibeiroInternal Medicine Department, Faculty of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-2740-0042
Universidade Federal de Minas Gerais · BRUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a highly prevalent condition with important health implications. Face-to-face interventions to treat obesity demand a large number of human resources and time, generating a great burden to individuals and health system. In this context, the internet is an attractive tool for delivering weight loss programs due to anonymity, 24-hour-accessibility, scalability, and reachability associated with Web-based programs.

objectiveWe aimed to investigate the effectiveness of Web-based digital health interventions, excluding hybrid interventions and non-Web-based technologies such as text messaging, short message service, in comparison to nontechnology active or inactive (wait list) interventions on weight loss and lifestyle habit changes in individuals with overweight and obesity.

methodsWe searched PubMed or Medline, SciELO, Lilacs, PsychNet, and Web of Science up to July 2018, as well as references of previous reviews for randomized trials that compared Web-based digital health interventions to offline interventions. Anthropometric changes such as weight, body mass index (BMI), waist, and body fat and lifestyle habit changes in adults with overweight and obesity were the outcomes of interest. Random effects meta-analysis and meta-regression were performed for mean differences (MDs) in weight. We rated the risk of bias for each study and the quality of evidence across studies using the Grades of Recommendation, Assessment, Development, and Evaluation approach.

resultsAmong the 4071 articles retrieved, 11 were included. Weight (MD -0.77 kg, 95% CI -2.16 to 0.62; 1497 participants; moderate certainty evidence) and BMI (MD -0.12 kg/m2; 95% CI -0.64 to 0.41; 1244 participants; moderate certainty evidence) changes were not different between Web-based and offline interventions. Compared to offline interventions, digital interventions led to a greater short-term (<6 months follow-up) weight loss (MD -2.13 kg, 95% CI -2.71 to -1.55; 393 participants; high certainty evidence), but not in the long-term (MD -0.17 kg, 95% CI -2.10 to 1.76; 1104 participants; moderate certainty evidence). Meta-analysis was not possible for lifestyle habit changes. High risk of attrition bias was identified in 5 studies. For weight and BMI outcomes, the certainty of evidence was moderate mainly due to high heterogeneity, which was mainly attributable to control group differences across studies (R

conclusionsWeb-based digital interventions led to greater short-term but not long-term weight loss than offline interventions in overweight and obese adults. Heterogeneity was high across studies, and high attrition rates suggested that engagement is a major issue in Web-based interventions.

Indexed as

AdultCell PhoneHabitsHumansInternetLife StyleObesityOverweightTelemedicineWeight LossWeight Reduction Programsinternetmeta-analysismobile phoneobesitytelemedicine

Identifiers

PMID30622090
PMCPMC6330028
OpenAlexW2888961673

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.