Evidence map›Paper›PMID 35224553›Full record

ArticleJournal of physical medicine and rehabilitation (Wilmington, Del.)2021

The Use of Consumer Wearable Physical Activity Monitors in Clinical Populations with Functional Limitations.

Julian Martinez, Taylor M Gordon, Scott J Strath

Open access · goldAbstract read
In one paragraph

Article in Journal of physical medicine and rehabilitation (Wilmington, Del.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Observational
  2. 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

3 authors at 1 institution in 1 country.

Julian MartinezDepartment of Kinesiology, University of Wisconsin-Milwaukee, Milwaukee, WI 53201-0413, USA.
Taylor M GordonDepartment of Kinesiology, University of Wisconsin-Milwaukee, Milwaukee, WI 53201-0413, USA.
Scott J StrathDepartment of Kinesiology, University of Wisconsin-Milwaukee, Milwaukee, WI 53201-0413, USA.
University of Wisconsin–Milwaukee · US

Funding

Calibrating free-living physical activity characteristics across functionally-limited populations using machine-learned accelerometer approachesR01CA215318 · NCI · UNIVERSITY OF WISCONSIN MILWAUKEE · PI STAUDENMAYER, JOHN W, STRATH, SCOTT J · 2017 to 2021
$2.9M
NCI NIH HHS R01 CA215318
6 · The paper itself

Abstract

Functionally limiting health conditions have a high rate of prevalence worldwide and incur a significant amount of economic burden. Physical activity (PA) can prevent the onset of these conditions and alleviate economic burden by reducing symptoms, but a large portion of these individuals do not engage in health enhancing PA. Consumer wearable physical activity monitors (WPAM) are tools that have become increasingly popular within the past few years and could provide a means to improve PA levels for individuals with health conditions that cause functional limitations. This review reports on the validity of PA outcomes, feasibility and utility, and intervention/promotion effectiveness for consumer WPAM in functionally limited clinical populations. 2250 records from January 2018 to July 2021 were retrieved from PubMed, Web of Science, SPORTDiscus and CINAHL with 656 records being duplicates and 23 records passing a full-text article review. Studies included within the review looked at individuals with osteoarthritis, rheumatoid arthritis, axial spondyloarthritis, multiple sclerosis, Parkinson's disease, ischemic stroke and peripheral arterial disease. The most popular brand of consumer WPAM was Fitbit. Validation studies for consumer WPAM were primarily focused on step counts showing overestimations for daily step counts and over- and under-estimations occurring within shorter time durations depending on step cadence. Wrist worn WPAM are the most feasible for functionally limited clinical populations with widespread utilization for associating clinically relevant outcomes with PA levels but they have limited validation to confirm their accuracy and precision in measurement. Interventions included used a mixture of a WPAM and other behavior change techniques to improve PA levels for clinical populations and show promising effectiveness. Future work is warranted on determining the validity of PA outcomes from WPAM determined to be feasible in select clinical populations and creating interventions looking at which features of a consumer WPAM intervention promote PA.

Indexed as

Activity MonitorArthritisFitbitMultiple SclerosisParkinson’sPhysical ActivityStroke

Identifiers

PMID35224553
PMCPMC8871508
OpenAlexW4206126040

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.