Evidence map›Paper›PMID 34047705›Full record

ReviewJMIR mHealth and uHealth2021

Use of Fitbit Devices in Physical Activity Intervention Studies Across the Life Course: Narrative Review.

Ruth Gaelle St Fleur, Sara Mijares St George, Rafael Leite, Marissa Kobayashi, Yaray Agosto, Danielle E Jake-Schoffman

Open access · goldAbstract readReview
In one paragraph

Review in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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.

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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ruth Gaelle St FleurDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.ORCID 0000-0003-0989-981X
Sara Mijares St GeorgeDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.ORCID 0000-0001-7263-4609
Rafael LeiteDepartment of Psychology, University of Miami, Coral Gables, FL, United States.ORCID 0000-0002-5597-2347
Marissa KobayashiDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.ORCID 0000-0001-7475-0785
Yaray AgostoDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.ORCID 0000-0002-6422-4674
Danielle E Jake-SchoffmanDepartment of Health, Education, and Behavior, University of Florida, Gainesville, FL, United States.ORCID 0000-0001-6381-7323
University of Miami · USUniversity of Florida Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommercial off-the-shelf activity trackers (eg, Fitbit) allow users to self-monitor their daily physical activity (PA), including the number of steps, type of PA, amount of sleep, and other features. Fitbits have been used as both measurement and intervention tools. However, it is not clear how they are being incorporated into PA intervention studies, and their use in specific age groups across the life course is not well understood.

objectiveThis narrative review aims to characterize how PA intervention studies across the life course use Fitbit devices by synthesizing and summarizing information on device selection, intended use (intervention vs measurement tool), participant wear instructions, rates of adherence to device wear, strategies used to boost adherence, and the complementary use of other PA measures. This review provides intervention scientists with a synthesis of information that may inform future trials involving Fitbit devices.

methodsWe conducted a search of the Fitabase Fitbit Research Library, a database of studies published between 2012 and 2018. Of the 682 studies available on the Fitabase research library, 60 interventions met the eligibility criteria and were included in this review. A supplemental search in PubMed resulted in the inclusion of 15 additional articles published between 2019 and 2020. A total of 75 articles were reviewed, which represented interventions conducted in childhood; adolescence; and early, middle, and older adulthood.

resultsThere was considerable heterogeneity in the use of Fitbit within and between developmental stages. Interventions for adults typically required longer wear periods, whereas studies on children and adolescents tended to have more limited device wear periods. Most studies used developmentally appropriate behavior change techniques and device wear instructions. Regardless of the developmental stage and intended Fitbit use (ie, measurement vs intervention tool), the most common strategies used to enhance wear time included sending participants reminders through texts or emails and asking participants to log their steps or synchronize their Fitbit data daily. The rates of adherence to the wear time criteria were reported using varying metrics. Most studies supplemented the use of Fitbit with additional objective or self-reported measures for PA.

conclusionsOverall, the heterogeneity in Fitbit use across PA intervention studies reflects its relative novelty in the field of research. As the use of monitoring devices continues to expand in PA research, the lack of uniformity in study protocols and metrics of reported measures represents a major issue for comparability purposes. There is a need for increased transparency in the prospective registration of PA intervention studies. Researchers need to provide a clear rationale for the use of several PA measures and specify the source of their main PA outcome and how additional measures will be used in the context of Fitbit-based interventions.

Indexed as

Fitness TrackersText MessagingAdolescentAdultAgedChildExerciseHumansProspective StudiesSleepeHealthFitbitlife coursemobile phonephysical activity

Identifiers

PMID34047705
PMCPMC8196365
OpenAlexW3146033000

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.