Evidence map›Paper›PMID 31651405›Full record

ArticleJMIR mHealth and uHealth2019

Factors Influencing Exercise Engagement When Using Activity Trackers: Nonrandomized Pilot Study.

Amanda Jayne Centi, Mursal Atif, Sara Bersche Golas, Ramin Mohammadi, Sagar Kamarthi, Stephen Agboola, Joseph C Kvedar, Kamal Jethwani

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Amanda Jayne CentiPivot Labs, Partners Healthcare, Boston, MA, United States.ORCID 0000-0002-4513-2408
Mursal AtifPivot Labs, Partners Healthcare, Boston, MA, United States.ORCID 0000-0002-8725-9335
Sara Bersche GolasPivot Labs, Partners Healthcare, Boston, MA, United States.ORCID 0000-0002-6155-9452
Ramin MohammadiDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, United States.ORCID 0000-0001-6033-7164
Sagar KamarthiDepartment of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, United States.ORCID 0000-0001-5845-7714
Stephen AgboolaPivot Labs, Partners Healthcare, Boston, MA, United States.ORCID 0000-0002-2161-8091
Joseph C KvedarPivot Labs, Partners Healthcare, Boston, MA, United States.ORCID 0000-0002-7517-2291
Kamal JethwaniPivot Labs, Partners Healthcare, Boston, MA, United States.ORCID 0000-0002-0122-8002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well reported that tracking physical activity can lead to sustained exercise routines, which can decrease disease risk. However, most stop using trackers within a couple months of initial use. The reasons people stop using activity trackers can be varied and personal. Understanding the reasons for discontinued use could lead to greater acceptance of tracking and more regular exercise engagement.

objectiveThe aim of this study was to determine the individualistic reasons for nonengagement with activity trackers.

methodsOverweight and obese participants (n=30) were enrolled and allowed to choose an activity tracker of their choice to use for 9 weeks. Questionnaires were administered at the beginning and end of the study to collect data on their technology use, as well as social, physiological, and psychological attributes that may influence tracker use. Closeout interviews were also conducted to further identify individual influencers and attributes. In addition, daily steps were collected from the activity tracker.

resultsThe results of the study indicate that participants typically valued the knowledge of their activity level the activity tracker provided, but it was not a sufficient motivator to overcome personal barriers to maintain or increase exercise engagement. Participants identified as extrinsically motivated were more influenced by wearing an activity tracker than those who were intrinsically motivated. During the study, participants who reported either owning multiple technology devices or knowing someone who used multiple devices were more likely to remain engaged with their activity tracker.

conclusionsThis study lays the foundation for developing a smart app that could promote individual engagement with activity trackers.

Indexed as

AdultExerciseFemaleFitness TrackersHumansMaleMiddle AgedMotivationPatient ParticipationPilot ProjectsSurveys and Questionnairesactivity trackersengagementexercise

Identifiers

PMID31651405
PMCPMC7017648

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.