Evidence map›Paper›PMID 30888321›Full record

SynthesisJournal of medical Internet research2019

Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis.

Amelia Romeo, Sarah Edney, Ronald Plotnikoff, Rachel Curtis, Jillian Ryan, Ilea Sanders, Alyson Crozier, Carol Maher

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 NCT05620888 (Efficacy of a Tailored Communication Intervention Aimed At Increasing the Number of Daily Steps), which is not on this map. Cited by 235 papers, 31 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
235citing papers in PubMed, 31 pooled it
95.6field-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.

NCT05620888 narecruitingnot on this mapstarted 2022, after this paper: background citation

Efficacy of a Tailored Communication Intervention Aimed At Increasing the Number of Daily Steps

TypeinterventionalSponsorUniversity of Milano BicoccaRan2022 to 2025Enrolled255ConditionsPhysical InactivityArmsWalk behavior change: Tailored messages (TM), Walk behavior change: Non tailored messages (NTM)
3 · Its place in the literature

Who cites it

235 citing papers in PubMed, 31 syntheses or guidelines pooled it, 527 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Effects of physical activity-promoting wearable devices on blood pressure in adults: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Pooled it
  15. Pooled it
  16. Pooled it
  17. Pooled it
  18. Pooled it
  19. Pooled it
  20. Pooled it

175 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

8 authors at 2 institutions in 1 country.

Amelia RomeoSchool of Health Sciences, University of South Australia, Adelaide, Australia.ORCID 0000-0002-6762-1632
Sarah EdneyAlliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia.ORCID 0000-0002-3925-517X
Ronald PlotnikoffPriority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia.ORCID 0000-0002-3763-8273
Rachel CurtisAlliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia.ORCID 0000-0002-1341-7804
Jillian RyanAlliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia.ORCID 0000-0003-0655-3047
Ilea SandersAlliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia.ORCID 0000-0002-7527-2057
Alyson CrozierAlliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia.ORCID 0000-0002-9652-6757
Carol MaherAlliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia.ORCID 0000-0002-8676-0224
University of South Australia · AUUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphone apps are a promising tool for delivering accessible and appealing physical activity interventions. Given the large growth of research in this field, there are now enough studies using the "gold standard" of experimental design-the randomized controlled trial design-and employing objective measurements of physical activity, to support a meta-analysis of these scientifically rigorous studies.

objectiveThis systematic review and meta-analysis aimed to determine the effectiveness of smartphone apps for increasing objectively measured physical activity in adults.

methodsA total of 7 electronic databases (EMBASE, EmCare, MEDLINE, Scopus, Sport Discus, The Cochrane Library, and Web of Science) were searched from 2007 to January 2018. Following the Population, Intervention, Comparator, Outcome and Study Design format, studies were eligible if they were randomized controlled trials involving adults, used a smartphone app as the primary or sole component of the physical activity intervention, used a no- or minimal-intervention control condition, and measured objective physical activity either in the form of moderate-to-vigorous physical activity minutes or steps. Study quality was assessed using a 25-item tool based on the Consolidated Standards of Reporting Trials checklist. A meta-analysis of study effects was conducted using a random effects model approach. Sensitivity analyses were conducted to examine whether intervention effectiveness differed on the basis of intervention length, target behavior (physical activity alone vs physical activity in combination with other health behaviors), or target population (general adult population vs specific health populations).

resultsFollowing removal of duplicates, a total of 6170 studies were identified from the original database searches. Of these, 9 studies, involving a total of 1740 participants, met eligibility criteria. Of these, 6 studies could be included in a meta-analysis of the effects of physical activity apps on steps per day. In comparison with the control conditions, smartphone apps produced a nonsignificant (P=.19) increase in participants' average steps per day, with a mean difference of 476.75 steps per day (95% CI -229.57 to 1183.07) between groups. Sensitivity analyses suggested that physical activity programs with a duration of less than 3 months were more effective than apps evaluated across more than 3 months (P=.01), and that physical activity apps that targeted physical activity in isolation were more effective than apps that targeted physical activity in combination with diet (P=.04). Physical activity app effectiveness did not appear to differ on the basis of target population.

conclusionsThis meta-analysis provides modest evidence supporting the effectiveness of smartphone apps to increase physical activity. To date, apps have been most effective in the short term (eg, up to 3 months). Future research is needed to understand the time course of intervention effects and to investigate strategies to sustain intervention effects over time.

Indexed as

AdultExerciseHealth BehaviorHumansMobile ApplicationsSmartphoneapphealth behaviormeta-analysismobile appsmobile phonephysical activityprogramsmartphonesystematic review

Identifiers

PMID30888321
PMCPMC6444212
OpenAlexW2904460099

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.