Evidence map›Paper›PMID 26554314›Full record

SynthesisJournal of medical Internet research2015

Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis.

Gemma Flores Mateo, Esther Granado-Font, Carme Ferré-Grau, Xavier Montaña-Carreras

3 registry-linked trialsOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 263 papers, 30 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
263citing papers in PubMed, 30 pooled it
89.0field-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.

NCT02880254 nacompletednot on this mapstarted 2016, after this paper: background citation

A Study to Assess the Compliance and Impact on Weight of Kurbo, a Pediatric Centered Weight Loss App

TypeinterventionalSponsorBaystate Medical CenterRan2016 to 2018Enrolled27ConditionsObesityArmsKurbo, Personal Health Coach
NCT04544904 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Novel Uses of Technology for Individuals With Mild to Moderate Hip or Knee Osteoarthritis: The Technology, Exercise Programming, and Activity Prescription for Enhanced Mobility (TEAM) Study

TypeinterventionalSponsorWestern University, CanadaRan2021 to 2025Enrolled192ConditionsOsteo Arthritis Knee, Osteoarthritis, Hip ArthritisArmsPAARx, JM
NCT05866107 narecruitingnot on this mapstarted 2023, after this paper: background citation

Effectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals With Mental Disorders Using Digital Intervention ("SWIM" Trial)

TypeinterventionalSponsorCapital Medical UniversityRan2023 to 2025Enrolled204ConditionsSchizophrenia, Bipolar Disorder, Metabolic Syndrome, Overweight and ObesityArmsEffectiveness and Feasibility of Self-Monitoring for Weight Management in Individuals with Mental Disorders Using Digital Intervention ("SWIM" trial)
3 · Its place in the literature

Who cites it

263 citing papers in PubMed, 30 syntheses or guidelines pooled it, 617 citations in OpenAlex.

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  20. Using Mobile Applications to Increase Physical Activity: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it

203 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

4 authors at 2 institutions in 1 country.

Gemma Flores MateoInstitut Universitari d'Investigació en Atenció Primària (IDIAP) Jordi Gol, Reus, Spain. gemmaflores@gmail.com.ORCID http://orcid.org/0000-0001-6901-7327
Institut Universitari d'Investigació en Atenció Primària Jordi Gol · ESUniversitat Rovira i Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo our knowledge, no meta-analysis to date has assessed the efficacy of mobile phone apps to promote weight loss and increase physical activity.

objectiveTo perform a systematic review and meta-analysis of studies to compare the efficacy of mobile phone apps compared with other approaches to promote weight loss and increase physical activity.

methodsWe conducted a systematic review and meta-analysis of relevant studies identified by a search of PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Scopus from their inception through to August 2015. Two members of the study team (EG-F, GF-M) independently screened studies for inclusion criteria and extracted data. We included all controlled studies that assessed a mobile phone app intervention with weight-related health measures (ie, body weight, body mass index, or waist circumference) or physical activity outcomes. Net change estimates comparing the intervention group with the control group were pooled across studies using random-effects models.

resultsWe included 12 articles in this systematic review and meta-analysis. Compared with the control group, use of a mobile phone app was associated with significant changes in body weight (kg) and body mass index (kg/m(2)) of -1.04 kg (95% CI -1.75 to -0.34; I2 = 41%) and -0.43 kg/m(2) (95% CI -0.74 to -0.13; I2 = 50%), respectively. Moreover, a nonsignificant difference in physical activity was observed between the two groups (standardized mean difference 0.40, 95% CI -0.07 to 0.87; I2 = 93%). These findings were remarkably robust in the sensitivity analysis. No publication bias was shown.

conclusionsEvidence from this study shows that mobile phone app-based interventions may be useful tools for weight loss.

Indexed as

Cell PhoneHumansMobile ApplicationsMotor ActivityObesityWeight LossappsinterventionmHealthmobile phoneobesityphysical activity

Identifiers

PMID26554314
PMCPMC4704965
OpenAlexW2123420688

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.