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DOI: 10.1055/a-1088-5629
Validity of Caloric Expenditure Measured from a Wheelchair User Smartwatch
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Abstract
The objective of this study was to investigate the validity of measured caloric expenditure from a fitness smartwatch designed to measured values in wheelchair users against criterion values from a portable metabolic system. 15 wheelchair users and 15 able-bodied participants completed multiple tasks; wheelchair treadmill routine at 30, 45, and 60 strokes per minute, arm cycle ergometry at 45, 60, and 80 revolutions per minute, and arm cycle ergometry VO2Peak test. There were no interactions for device or task and group (wheelchair users vs. able bodied, p=0.375-0.944) therefore results were pooled across groups for all measures. The smartwatch exhibited poor to moderate caloric expenditure association during wheelchair treadmill routine (ICC<0.39) and arm cycle ergometry (ICC<0.541). Smartwatch underestimated caloric expenditure during the wheelchair treadmill task (Mean differences (Limits of Agreement)) (−2.11 (−8.19–3.96), −3.68 (−12.64–5.28), and −4.51 (−15.05–6.02)) and overestimated during the arm cycle ergometry task (0.89 (−3.10–4.88), 3.40 (−0.31–7.12), and 2.81 (−1.71–7.32)). The smartwatch is currently not well suited to calculate caloric expenditure when performing exercise tasks on a wheelchair treadmill and arm cycle ergometry.
Publication History
Received: 00 00 2019
Accepted: 23 December 2019
Article published online:
16 March 2020
© Georg Thieme Verlag KG
Stuttgart · New York
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References
- 1 Garber CE, Blissmer B, Deschenes MR. et al. American College of Sports Medicine position stand. The quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: Guidance for prescribing exercise. Med Sci Sports Exerc 2011; 43: 1334-1359
- 2 Kaye HS, Kang T, LaPlante MP. Mobility device use in the United States. Disability Statistics Report 14. Washington, DC: US Department of Education, National Institute of Disability and Rehabilitation Research 2000; 14: 1–60
- 3 Ginis KAM, Al Hicks, Latimer AE. et al. The development of evidence-informed physical activity guidelines for adults with spinal cord injury. Spinal Cord 2011; 49: 1088-1096
- 4 Rocchi M, Routhier F, Latimer-Cheung AE. et al. Are adults with spinal cord injury meeting the spinal cord injury-specific physical activity guidelines? A look at a sample from a Canadian province. Spinal Cord 2017; 55: 454-459
- 5 Ginis KAM, Latimer AE, Arbour-Nicitopoulos KP. et al. Leisure time physical activity in a population-based sample of people with spinal cord injury part I: demographic and injury-related correlates. Arch Phys Med Rehabil 2010; 91: 722-728
- 6 Rimmer JH, Schiller W, Chen MD. Effects of disability-associated low energy deconditioning syndrome. Exerc Sports Sci Rev 2012; 40: 22-29
- 7 Lavis TD, Scelza WM, Bockeneck WL. Cardiovascular health and fitness in persons with spinal cord injury. Phys Med Rehabil Clin N Am 2007; 18: 317-331
- 8 Garshick E, Kelley A, Cohen SA. et al. A prospective assessment of mortality in chronic spinal cord injury. Spinal Cord 2005; 43: 408-416
- 9 Center for Disease Control and Prevention, Adults with Disabilities (May 2016). In Internet: https://www.cdc.gov/vitalsigns/disabilities/; (Accessed 23 April 2018)
- 10 Wang JB, Cataldo JK, Ayala GX. et al. Mobile and wearable device features that matter in promoting physical activity. J Mob Technol Med 2016; 5: 2-11
- 11 Wang JB, Cadmus-Bertram LA, Natarajan L. et al. Wearable sensor/device (Fitbit One) and sms text-messaging prompts to increase physical activity in overweight and obese adults: A randomized controlled trial. Telemed J E Health 2015; 21: 782-791
- 12 Kressler J, Koeplin-Day J, Muendle B. et al. Accuracy and precision of consumer-level activity monitors for stroke detection during wheelchair propulsion and arm ergometry. PloS One 2018; 13: 1-15
- 13 Carrington P, Chang K, Mentis H. et al. But, I don’t take steps: Examining the inaccessibility of fitness trackers for wheelchair athletes. In: ASSETS ̍15: The 17th International ACM SIGACCESS Conference on Computers and Accessibility; 2015; 193-201
- 14 Harriss DJ, Mascsween A, Atkinson G. Standards for ethics in sport and exercise science research: 2020 Update. Int J Sports Med 2019; 40: 813-817
- 15 Baldari C, Meucci M, Bolleta F. et al. Accuracy and reliability of COSMED K5 portable metabolic device versus simulating system. Sport Sci Health 2015; 11: S1
- 16 Slowik JS, Requejo PS, Mulroy SJ. et al. The influence of speed and grade on wheelchair propulsion hand pattern. Clin Biomech 2015; 30: 927-932
- 17 DiCarlo SE. Effect of arm ergometry training on wheelchair propulsion endurance of individuals with quadriplegia. Phys Ther 1988; 68: 40-44
- 18 DiCarlo SE, Supp MD, Taylor HC. Effect of arm ergometry training on physical work capacity of individuals with spinal cord injuries. Phys Ther 1983; 63: 1104-1107
- 19 Ross SM. Peirce’s criterion for the elimination of suspect experimental data. J Eng Technol 2003; 20: 38-41
- 20 Jeukendrup AE, Wallis GA. Measurement of substrate oxidation during exercise by means of gas exchange measurements. Int J Sports Med 2005; 26: S28-S37
- 21 Koo TK, Li MY. A guidance of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016; 34: 1-8
- 22 Hiremath SV, Ding D. Evaluation of activity monitors in manual wheelchair users with paraplegia. J Spinal Cord Med 2011; 34: 110-117
- 23 Hiremath SV, Ding D, Farringdon J. et al. Predicting energy expenditure of manual wheelchair users with spinal cord injury using a multisensor-based activity monitor. Arch Phys Med Rehabil 2012; 93: 1937-1943
- 24 Xie J, Wen D, Liang L. et al. Evaluating the validity of current mainstream wearable device in fitness tracking under various physical activities: Comparative study. JMIR Mhealth Uhealth 2018; 6: e94
- 25 Everson KR, Goto MM, Furberg RD. Systematic review of the validity and reliability of consumer-wearable activity trackers. Int J Behav Nutr Phys Act 2015; 12: 159
- 26 Kiuchi K, Inayama T, Muraoka Y. et al. Preliminary study for the assessment of physical activity using triaxial accelerometer with a gyro sensor on the upper limbs of subjects with paraplegia driving a wheelchair on a treadmill. Spinal Cord 2014; 52: 556-563