Literature DB >> 33464213

Physical Activity Monitoring Using a Fitbit Device in Ischemic Stroke Patients: Prospective Cohort Feasibility Study.

Irene Katzan1,2, Andrew Schuster1, Tyler Kinzy1.   

Abstract

BACKGROUND: Continuous tracking of ambulatory activity in real-world settings using step activity monitors has many potential uses. However, feasibility, accuracy, and correlation with performance measures in stroke patients have not been well-established.
OBJECTIVE: The primary study objective was to determine adherence with wearing a consumer-grade step activity monitor, the Fitbit Charge HR, in home-going ischemic stroke patients during the first 90 days after hospital discharge. Secondary objectives were to (1) determine accuracy of step counts of the Fitbit Charge HR compared with a manual tally; (2) calculate correlations between the Fitbit step counts and the mobility performance scores at discharge and 30 days after stroke; (3) determine variability and change in weekly step counts over 90 days; and (4) evaluate patient experience with using the Fitbit Charge HR poststroke.
METHODS: A total of 15 participants with recent mild ischemic stroke wore a Fitbit Charge HR for 90 days after discharge and completed 3 mobility performance tests from the National Institutes of Health Toolbox at discharge and Day 30: (1) Standing Balance Test, (2) 2-Minute Walk Endurance Test, and (3) 4-Meter Walk Gait Speed Test. Accuracy of step activity monitors was assessed by calculating differences in steps recorded on the step activity monitor and a manual tally during 2-minute walk tests.
RESULTS: Participants had a mean age of 54 years and a median modified Rankin scale score of 1. Mean daily adherence with step activity monitor use was 83.6%. Mean daily step count in the first week after discharge was 4376. Daily step counts increased slightly during the first 30 days after discharge (average increase of 52.5 steps/day; 95% CI 32.2-71.8) and remained stable during the 30-90 day period after discharge. Mean step count difference between step activity monitor and manual tally was -4.8 steps (-1.8%). Intraclass correlation coefficients for step counts and 2-minute walk, standing balance, and 4-meter gait speed at discharge were 0.41 (95% CI -0.14 to 0.75), -0.12 (95% CI -0.67 to 0.64), and 0.17 (95% CI -0.46 to 0.66), respectively. Values were similarly poor at 30 days.
CONCLUSIONS: The use of consumer-grade Fitbit Charge HR in patients with recent mild stroke is feasible with reasonable adherence and accuracy. There was poor correlation between step counts and gait speed, balance, and endurance. Further research is needed to evaluate the association between step counts and other outcomes relevant to patients, including patient-reported outcomes and measures of physical function. ©Irene Katzan, Andrew Schuster, Tyler Kinzy. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 19.01.2021.

Entities:  

Keywords:  accelerometer; ischemic stroke; physical activity; step activity monitor

Year:  2021        PMID: 33464213     DOI: 10.2196/14494

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.773


  6 in total

Review 1.  Natural Products for the Treatment of Post-stroke Depression.

Authors:  Chaoyou Fang; Zeyu Zhang; Houshi Xu; Yibo Liu; Xiaoyu Wang; Ling Yuan; Yuanzhi Xu; Zhengyang Zhu; Anke Zhang; Anwen Shao; Meiqing Lou
Journal:  Front Pharmacol       Date:  2022-05-30       Impact factor: 5.988

2.  Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study.

Authors:  Diana My Frodi; Vlad Manea; Søren Zöga Diederichsen; Jesper Hastrup Svendsen; Katarzyna Wac; Tariq Osman Andersen
Journal:  J Pers Med       Date:  2022-06-08

3.  A Smart Shoe Insole to Monitor Frail Older Adults' Walking Speed: Results of Two Evaluation Phases Completed in a Living Lab and Through a 12-Week Pilot Study.

Authors:  Antoine Piau; Zara Steinmeyer; Yoann Charlon; Laetitia Courbet; Vincent Rialle; Benoit Lepage; Eric Campo; Fati Nourhashemi
Journal:  JMIR Mhealth Uhealth       Date:  2021-07-05       Impact factor: 4.947

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

Authors:  Julian Martinez; Taylor M Gordon; Scott J Strath
Journal:  J Phys Med Rehabil       Date:  2021

5.  The Accuracy of Commercially Available Fitness Trackers in Patients after Stroke.

Authors:  Anna Holubová; Eliška Malá; Kristýna Hoidekrová; Jakub Pětioký; Andrea Ďuriš; Jan Mužík
Journal:  Sensors (Basel)       Date:  2022-09-28       Impact factor: 3.847

6.  Longitudinal Changes in Temporospatial Gait Characteristics during the First Year Post-Stroke.

Authors:  John W Chow; Dobrivoje S Stokic
Journal:  Brain Sci       Date:  2021-12-15
  6 in total

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