Literature DB >> 32811785

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

Stephanie L Silveira1, Jessica F Baird2, Robert W Motl2.   

Abstract

BACKGROUND: Older 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."
METHODS: Participants 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).
RESULTS: Of 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.
CONCLUSIONS: Further 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.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Behavior; Fitness tracker; Multiple sclerosis; Physical activity; Rehabilitation

Mesh:

Year:  2020        PMID: 32811785      PMCID: PMC7769884          DOI: 10.1016/j.dhjo.2020.100966

Source DB:  PubMed          Journal:  Disabil Health J        ISSN: 1876-7583            Impact factor:   2.554


  29 in total

1.  Internet-delivered behavioral intervention to increase physical activity in persons with multiple sclerosis: sustainability and secondary outcomes.

Authors:  Deirdre Dlugonski; Robert W Motl; David C Mohr; Brian M Sandroff
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2.  Physical activity and walking performance across the lifespan among adults with multiple sclerosis.

Authors:  Jessica F Baird; Katie L J Cederberg; E Morghen Sikes; Stephanie L Silveira; Brenda Jeng; Jeffer E Sasaki; Brian M Sandroff; Robert W Motl
Journal:  Mult Scler Relat Disord       Date:  2019-07-04       Impact factor: 4.339

3.  Modern communication technology skills of patients with multiple sclerosis.

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4.  Impact of walking impairment in multiple sclerosis: perspectives of patients and care partners.

Authors:  Nicholas G Larocca
Journal:  Patient       Date:  2011       Impact factor: 3.883

5.  Racial and educational differences in physical activity among older adults.

Authors:  D O Clark
Journal:  Gerontologist       Date:  1995-08

Review 6.  The benefits of exercise training in multiple sclerosis.

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Journal:  Nat Rev Neurol       Date:  2012-07-24       Impact factor: 42.937

7.  Objectively quantified physical activity in persons with multiple sclerosis.

Authors:  Rachel E Klaren; Robert W Motl; Deirdre Dlugonski; Brian M Sandroff; Lara A Pilutti
Journal:  Arch Phys Med Rehabil       Date:  2013-07-29       Impact factor: 3.966

Review 8.  Aging with multiple sclerosis.

Authors:  Michelle Stern; Lyssa Sorkin; Kelly Milton; Kevin Sperber
Journal:  Phys Med Rehabil Clin N Am       Date:  2010-05       Impact factor: 1.784

Review 9.  Promotion of physical activity interventions for community dwelling older adults: A systematic review of reviews.

Authors:  Ania Zubala; Stephen MacGillivray; Helen Frost; Thilo Kroll; Dawn A Skelton; Anna Gavine; Nicola M Gray; Madalina Toma; Jacqui Morris
Journal:  PLoS One       Date:  2017-07-10       Impact factor: 3.240

10.  The use of mobile devices for physical activity tracking in older adults' everyday life.

Authors:  Alexander Seifert; Anna Schlomann; Christian Rietz; Hans Rudolf Schelling
Journal:  Digit Health       Date:  2017-11-09
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  2 in total

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Review 2.  How to manage with telemedicine people with neuromuscular diseases?

Authors:  Fiore Manganelli; Luigi Lavorgna; Emanuele Spina; Francesca Trojsi; Stefano Tozza; Aniello Iovino; Rosa Iodice; Carla Passaniti; Gianmarco Abbadessa; Simona Bonavita; Letizia Leocani; Gioacchino Tedeschi
Journal:  Neurol Sci       Date:  2021-06-25       Impact factor: 3.307

  2 in total

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