Evidence map›Paper›PMID 27903490›Full record

ArticleJMIR research protocols2016

Can a Free Wearable Activity Tracker Change Behavior? The Impact of Trackers on Adults in a Physician-Led Wellness Group.

Lisa Gualtieri, Sandra Rosenbluth, Jeffrey Phillips

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03175783 (Use of Wearable Activity Tracker to Monitor and Increase Mobility for Elderly Undergoing Abdominal Surgery), which is not on this map. Cited by 42 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 6 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.

NCT03175783 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Use of Wearable Activity Tracker to Monitor and Increase Mobility for Elderly Undergoing Abdominal Surgery: A Randomized Control Trial

TypeinterventionalSponsorUniversity of MalayaRan2017 to 2018Enrolled60ConditionsFitness Trackers, Early Ambulation, Surgery, Health Services for the AgedArmsFitbit Zip Activity Tracker
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  9. Smart wearable devices as a psychological intervention for healthy lifestyle and quality of life: a randomized controlled trial.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
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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.

Lisa GualtieriTufts University School of Medicine, Department of Public Health and Community Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0003-1960-2493
Sandra RosenbluthTufts University School of Medicine, Department of Public Health and Community Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0001-6044-8657
Jeffrey PhillipsFamily Doctors, LLC, Swampscott, MA, United States.ORCID http://orcid.org/0000-0003-1673-516X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable activity trackers (trackers) are increasingly popular devices used to track step count and other health indicators. Trackers have the potential to benefit those in need of increased physical activity, such as adults who are older and face significant health challenges. These populations are least likely to purchase trackers and most likely to face challenges in using them, yet may derive educational, motivational, and health benefits from their use once these barriers are removed.

objectiveThe aim of this pilot research is to investigate the use of trackers by adults with chronic medical conditions who have never used trackers previously. Specifically, we aim to determine (1) if participants would accept and use trackers to increase their physical activity; (2) if there were barriers to use besides cost and training; (3) if trackers would educate participants on their baseline and ongoing activity levels and support behavior change; and (4) if clinical outcomes would show improvements in participants' health.

methodsThis study was conducted with patients (N=10) in a 12-week physician-led wellness group offered by Family Doctors, LLC. Patients were given trackers in the second week of The Wellness Group and were interviewed 2 to 4 weeks after it ended. The study investigators analyzed the interview notes to extract themes about the participants' attitudes and behavior changes and collected and analyzed participants' clinical data, including weight and low-density lipoprotein (LDL) cholesterol over the course of the study.

resultsOver the 12 to 14 weeks of tracker use, improvements were seen in clinical outcomes, attitudes towards the trackers, and physical activity behaviors. Participants lost an average of 0.5 lbs per week (SD 0.4), with a mean total weight loss of 5.97 lbs (P=.004). Other short-term clinical outcomes included a 9.2% decrease in LDL levels (P=.038). All participants reported an increase in well-being and confidence in their ability to lead more active lives. We identified the following 6 major attitudinal themes from our qualitative analysis of the interview notes: (1) barriers to tracker purchase included cost, perceived value, and choice confusion; (2) attitudes towards the trackers shifted for many, from half of the participants expressing excitement and hope and half expressing hesitation or trepidation, to all participants feeling positive towards their tracker at the time of the interviews; (3) trackers served as educational tools for baseline activity levels; (4) trackers provided concrete feedback on physical activity, which motivated behavior change; (5) tracker use reinforced wellness group activities and goals; and (6) although commitment to tracker use did not waver, external circumstances influenced some participants' ongoing use.

conclusionsOur findings suggest that adding trackers to wellness groups comprising primarily older adults with chronic medical conditions can support education and behavior change to be more physically active. The trackers increased participant self-efficacy by providing a tangible, visible reminder of a commitment to increasing activity and immediate feedback on step count and progress towards a daily step goal. While acceptance was high and attitudes ultimately positive, training and support are needed and short-term drop-off in participant use is to be expected. Future research will further consider the potential of trackers in older adults with chronic medical conditions who are unlikely to purchase them, and studies will use larger samples, continue over a longer period of time, and evaluate outcomes independent of a wellness group.

Indexed as

behavior changechronic diseasedigital healthfitness trackersolder adultsphysical activitytrackerswearable activity trackerswellnesswellness group

Identifiers

PMID27903490
PMCPMC5156822

What OpenQuestion holds

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LicenceCC BY
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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.