Evidence map›Paper›PMID 23171838›Full record

SynthesisJournal of medical Internet research2012

Increasing physical activity with mobile devices: a meta-analysis.

Jason Fanning, Sean P Mullen, Edward McAuley

2 registry-linked trialsAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of medical Internet research, 2012. 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 193 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 15 pooled it
–field-weighted citation impact
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.

NCT03403270 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Testing the Efficacy of the ENCOURAGE App in Decreasing Sedentary Behaviour: A Time Series Quasi-Experimental Study

TypeinterventionalSponsorSt. Boniface HospitalRan2018 to 2019Enrolled300ConditionsPhysical Activity, Sedentary LifestyleArmsENCOURAGE App
NCT05504616 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Physical Activity in Axial Spondyloarthritis: Development and Implementation of an Evidence-Based Health Technology Approach to Improve Adherence to Recommended Guidelines

TypeinterventionalSponsorUniversity Health Network, TorontoRan2022 to 2024Enrolled106ConditionsAxial SpondyloarthritisArmsHealth technology-based intervention strategy
3 · Its place in the literature

Who cites it

193 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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133 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

3 authors.

Jason FanningDepartment of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. fanning4@illinois.edu
Sean P Mullen
Edward McAuley

Funding

Activity Gait and Efficacy (AGE) in Order WomenR01AG020118 · NIA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI MCAULEY, EDWARD · 2002 to 2013
$2.7M
NIA NIH HHS 5R01AG020118-6NIA NIH HHS R01 AG020118
6 · The paper itself

Abstract

backgroundRegular physical activity has established physical and mental health benefits; however, merely one quarter of the U.S. adult population meets national physical activity recommendations. In an effort to engage individuals who do not meet these guidelines, researchers have utilized popular emerging technologies, including mobile devices (ie, personal digital assistants [PDAs], mobile phones). This study is the first to synthesize current research focused on the use of mobile devices for increasing physical activity.

objectiveTo conduct a meta-analysis of research utilizing mobile devices to influence physical activity behavior. The aims of this review were to: (1) examine the efficacy of mobile devices in the physical activity setting, (2) explore and discuss implementation of device features across studies, and (3) make recommendations for future intervention development.

methodsWe searched electronic databases (PubMed, PsychINFO, SCOPUS) and identified publications through reference lists and requests to experts in the field of mobile health. Studies were included that provided original data and aimed to influence physical activity through dissemination or collection of intervention materials with a mobile device. Data were extracted to calculate effect sizes for individual studies, as were study descriptives. A random effects meta-analysis was conducted using the Comprehensive Meta-Analysis software suite. Study quality was assessed using the quality of execution portion of the Guide to Community Preventative Services data extraction form.

resultsFour studies were of "good" quality and seven of "fair" quality. In total, 1351 individuals participated in 11 unique studies from which 18 effects were extracted and synthesized, yielding an overall weight mean effect size of g = 0.54 (95% CI = 0.17 to 0.91, P = .01).

conclusionsResearch utilizing mobile devices is gaining in popularity, and this study suggests that this platform is an effective means for influencing physical activity behavior. Our focus must be on the best possible use of these tools to measure and understand behavior. Therefore, theoretically grounded behavior change interventions that recognize and act on the potential of smartphone technology could provide investigators with an effective tool for increasing physical activity.

Indexed as

Cell PhoneComputers, HandheldMotor ActivityHumansInternet

Identifiers

PMID23171838
PMCPMC3514847

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.