M C Maijers1, O Verschuren1, J M Stolwijk-Swüste1, C F van Koppenhagen2, S de Groot3,4, M W M Post1,5. 1. 1Center of Excellence for Rehabilitation Medicine, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University |De Hoogstraat Rehabilitation, Utrecht, The Netherlands. 2. 2Physical Medicine and Rehabilitation in University Medical Centre, Utrecht, The Netherlands. 3. Amsterdam Rehabilitation Research Center | Reade, Amsterdam, The Netherlands. 4. 4Center for Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. 5. 5Department of Rehabilitation Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Abstract
STUDY DESIGN: It is a longitudinal pilot study. OBJECTIVES: To investigate the feasibility of a low-cost and widely used fitness tracker with step count and heart rate data to monitor daily physical activity in wheelchair users with spinal cord injury (SCI). SETTING: Dutch community. METHODS: Six participants with SCI who were in training for a handbike event were recruited. They were asked to wear a Fitbit Charge 2® 24 h a day for at least 2 weeks and were questioned about the utility and user-friendliness of this device. RESULTS: Five out of six participants managed to wear the device nonstop for 2 weeks, and continued to wear the device after this initial period. Most participants were enthusiastic about the direct feedback provided by the tracker and reported the data to be accurate. Data collected during more than 2 months of three participants and during 8 months on one of them showed the possibility of detecting training days and observing interpersonal and intrapersonal variation in daily physical activity level. CONCLUSIONS: A commercially available, low-cost, self-monitoring multi-sensor wrist device or a fitness tracker like the Fitbit Charge 2® can be a promising instrument to monitor daily activity levels among wheelchair users with SCI. The free commercial dashboard and log data clearly show trends of variations in physical activity and increases in heart rate, which are of value to both researchers and clinicians interested in identifying training schedules of wheelchair athletes.
STUDY DESIGN: It is a longitudinal pilot study. OBJECTIVES: To investigate the feasibility of a low-cost and widely used fitness tracker with step count and heart rate data to monitor daily physical activity in wheelchair users with spinal cord injury (SCI). SETTING: Dutch community. METHODS: Six participants with SCI who were in training for a handbike event were recruited. They were asked to wear a Fitbit Charge 2® 24 h a day for at least 2 weeks and were questioned about the utility and user-friendliness of this device. RESULTS: Five out of six participants managed to wear the device nonstop for 2 weeks, and continued to wear the device after this initial period. Most participants were enthusiastic about the direct feedback provided by the tracker and reported the data to be accurate. Data collected during more than 2 months of three participants and during 8 months on one of them showed the possibility of detecting training days and observing interpersonal and intrapersonal variation in daily physical activity level. CONCLUSIONS: A commercially available, low-cost, self-monitoring multi-sensor wrist device or a fitness tracker like the Fitbit Charge 2® can be a promising instrument to monitor daily activity levels among wheelchair users with SCI. The free commercial dashboard and log data clearly show trends of variations in physical activity and increases in heart rate, which are of value to both researchers and clinicians interested in identifying training schedules of wheelchair athletes.
Authors: X García-Massó; P Serra-Añó; L M García-Raffi; E A Sánchez-Pérez; J López-Pascual; L M Gonzalez Journal: Spinal Cord Date: 2013-09-03 Impact factor: 2.772
Authors: Shivayogi V Hiremath; Stephen S Intille; Annmarie Kelleher; Rory A Cooper; Dan Ding Journal: Med Eng Phys Date: 2014-11-10 Impact factor: 2.242
Authors: Kathleen A Martin Ginis; Jan W van der Scheer; Amy E Latimer-Cheung; Andy Barrow; Chris Bourne; Peter Carruthers; Marco Bernardi; David S Ditor; Sonja Gaudet; Sonja de Groot; Keith C Hayes; Audrey L Hicks; Christof A Leicht; Jan Lexell; Steven Macaluso; Patricia J Manns; Christopher B McBride; Vanessa K Noonan; Pierre Pomerleau; James H Rimmer; Robert B Shaw; Brett Smith; Karen M Smith; John D Steeves; Dot Tussler; Christopher R West; Dalton L Wolfe; Victoria L Goosey-Tolfrey Journal: Spinal Cord Date: 2017-10-25 Impact factor: 2.772
Authors: Enhad A Chowdhury; Max J Western; Thomas E Nightingale; Oliver J Peacock; Dylan Thompson Journal: PLoS One Date: 2017-02-24 Impact factor: 3.240
Authors: Marika T Leving; Henricus L D Horemans; Riemer J K Vegter; Sonja de Groot; Johannes B J Bussmann; Lucas H V van der Woude Journal: PLoS One Date: 2018-04-11 Impact factor: 3.240
Authors: Jonathan Greenberg; Ann Lin; Paula J Popok; Ronald J Kulich; Robert R Edwards; Ana-Maria Vranceanu Journal: J Clin Psychol Med Settings Date: 2021-01-19