Evidence map›Paper›PMID 30977740›Full record

SynthesisJMIR mHealth and uHealth2019

Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis.

Katie-Jane Brickwood, Greig Watson, Jane O'Brien, Andrew D Williams

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

Synthesis in JMIR mHealth and uHealth, 2019. 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 314 papers, 24 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
314citing papers in PubMed, 24 pooled it
44.9field-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.

NCT06600438 narecruitingnot on this mapstarted 2026, after this paper: background citation

Slow-SPEED-United Kingdom: A Double-Blind Randomised Feasibility Trial of a Remote Gamified Physical Activity Programme in Adults With Hyposmia.

TypeinterventionalSponsorQueen Mary University of LondonRan2026 to 2027Enrolled110ConditionsHyposmia, Olfactory Dysfunction, AnosmiaArmsSlow-SPEED app
NCT06629493 nacompletednot on this mapstarted 2022, after this paper: background citation

Feasibility and Effects of Activity Trackers Among Alcohol Users Receiving In-patient Treatment for Alcohol Use Disorder

TypeinterventionalSponsorUniversity of OviedoRan2022 to 2025Enrolled90ConditionsSubstance-Related Disorders, Alcohol-Related Disorders, Alcohol Use Disorder (AUD)ArmsFitbit Versa 3, In-patient alcohol use disorder treatment
3 · Its place in the literature

Who cites it

314 citing papers in PubMed, 24 syntheses or guidelines pooled it, 642 citations in OpenAlex.

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  6. 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
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254 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 1 institution in 1 country.

Katie-Jane BrickwoodSchool of Health Science, College of Health and Medicine, University of Tasmania, Newnham, Australia.ORCID 0000-0002-4158-9806
Greig WatsonSchool of Health Science, College of Health and Medicine, University of Tasmania, Newnham, Australia.ORCID 0000-0002-3438-0203
Jane O'BrienSchool of Health Science, College of Health and Medicine, University of Tasmania, Newnham, Australia.ORCID 0000-0002-6504-8422
Andrew D WilliamsSchool of Health Science, College of Health and Medicine, University of Tasmania, Newnham, Australia.ORCID 0000-0001-8863-3491
University of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe range of benefits associated with regular physical activity participation is irrefutable. Despite the well-known benefits, physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries. Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation; however, physical activity levels tend to decline over time. Consumer-based wearable activity trackers that allow users to objectively monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active.

objectiveThis review aimed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback.

methodsA systematic review was performed searching the following databases for studies that included the use of a consumer-based wearable activity tracker to improve physical activity participation: Cochrane Controlled Register of Trials, MEDLINE, PubMed, Scopus, Web of Science, Cumulative Index of Nursing and Allied Health Literature, SPORTDiscus, and Health Technology Assessments. Controlled trials of adults comparing the use of a consumer-based wearable activity tracker with other nonactivity tracker-based interventions were included. The main outcome measures were physical activity participation and sedentary behavior. All studies were assessed for risk of bias, and the Grades of Recommendation, Assessment, Development, and Evaluation system was used to rank the quality of evidence. The guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement were followed. A random-effects meta-analysis was completed on the included outcome measures to estimate the treatment effect of interventions that included an activity tracker compared with a control group.

resultsThere was a significant increase in daily step count (standardized mean difference [SMD] 0.24; 95% CI 0.16 to 0.33; P<.001), moderate and vigorous physical activity (SMD 0.27; 95% CI 0.15 to 0.39; P<.001), and energy expenditure (SMD 0.28; 95% CI 0.03 to 0.54; P=.03) and a nonsignificant decrease in sedentary behavior (SMD -0.20; 95% CI -0.43 to 0.03; P=.08) following the intervention versus control comparator across all studies in the meta-analyses. In general, included studies were at low risk of bias, except for performance bias. Heterogeneity varied across the included meta-analyses ranging from low (I

conclusionsUtilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation. As the effects of physical activity interventions are often short term, the inclusion of a consumer-based wearable activity tracker may provide an effective tool to assist health professionals to provide ongoing monitoring and support.

Indexed as

ExerciseFitness TrackersHumansPatient ParticipationQuality of LifeSedentary Behaviorexercisefitness trackersmeta-analysistelemedicine

Identifiers

PMID30977740
PMCPMC6484266
OpenAlexW2913335608

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.