Evidence map›Paper›PMID 32811785›Full record

ArticleDisability and health journal2021

Rates, patterns, and correlates of fitness tracker use among older adults with multiple sclerosis.

Stephanie L Silveira, Jessica F Baird, Robert W Motl

Open access · greenAbstract read
In one paragraph

Article in Disability and health journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Pedometers and Accelerometers in Multiple Sclerosis: Current and New Applications.International journal of environmental research and public health · 2022
    Review
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.

Stephanie L SilveiraDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: ssilveira@uab.edu.
Jessica F BairdDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA; University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Robert W MotlDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA; University of Alabama at Birmingham Center for Exercise Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
University of Alabama at Birmingham · US

Funding

Interdisciplinary Training in Pathobiology and Rehabilitation Medicine.T32HD071866 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JAMES RIMMER, Anna E. Thalacker-Mercer · 2012 to 2026
$4.8M
NICHD NIH HHS T32 HD071866
6 · The paper itself

Abstract

backgroundOlder adults with multiple sclerosis (MS) engage in alarmingly low levels of physical activity. Fitness trackers may be a promising approach for promoting and monitoring physical activity among older adults with MS. OBJECTIVE/HYPOTHESIS: This study reports on the rates, patterns of fitness tracker use in adults with MS who are over 60 years of age. We hypothesized that older adults with MS who use fitness trackers "users" would report significantly more physical activity than those who don't "non-users."

methodsParticipants across the United States completed an online survey that included self-reported demographic and clinical characteristics, fitness tracker use questionnaire, and Godin Leisure-Time Exercise Questionnaire (GLTEQ) for measuring total and health-promoting physical activity (GLTEQ-HCS).

resultsOf the 440 participants who completed the full survey, 112 (28%) identified as fitness tracker users. The most common activity monitors were Fitbit®, Smartphone app, Apple® watch, and Garmin®. Fitness tracker users mostly reported having relapsing-remitting MS, less disability (i.e., lower Patient Determined Disability Steps), higher income, and higher rates of employment. There was a statistically significant difference in GLTEQ Total (t(438) = -3.8, p = .001) and GLTEQ-HCS (t(438) = -2.8, p = .006) scores between fitness tracker users and non-users. Self-reported step counts were strongly correlated with both GLTEQ Total (ρ = .50) and GLTEQ-HCS (ρ = 0.54) scores in fitness tracker users.

conclusionsFurther research is warranted investigating fitness tracker use and interests among older adults with MS and how technology may be applied as a behavioral tool to increase physical activity among this growing portion of the MS population.

Indexed as

Multiple SclerosisPersons with DisabilitiesAgedExerciseFitness TrackersHumansLeisure ActivitiesMiddle AgedBehaviorFitness trackerMultiple sclerosisPhysical activityRehabilitation

Identifiers

PMID32811785
PMCPMC7769884
OpenAlexW3046768494

What OpenQuestion holds

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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.