한국 노인의 걸음 수, 심박수, 에너지 소비량 측정을 위한 웨어러블 트래커의 타당도 평가
Validity of Wearable Trackers for Measuring Steps, Energy Expenditure and Heart Rate in Korean Elderly
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PURPOSE: This study aimed to assess the validity of a physical activity tracking device by comparing physical activity data from older adults, including the number of steps, energy expenditure, and heart rate (HR), with data obtained from research accelerometers, wearable watches, and mobile apps. METHODS: A total of 24 healthy older adults (aged 65-79 years) wore a wearable tracking device and used a respiratory gas analyzer while walking and running on a treadmill at speeds of 3.8 km/h, 4.8 km/h, 5.6 km/h, 6.4 km/h, and 8.0 km/h, in a randomized order. This study evaluated seven wearable devices: one research accelerometer (ActiGraph GT3X+), five smartwatches/fitness trackers (Samsung Galaxy Watch Active 2, Fitbit Versa 2, Xiaomi Mi Band 4, Garmin Forerunner 945, and Apple Watch Series 2), and one mobile application. Step counts were measured directly, HR was compared using a Polar H7 HR Sensor, and energy expenditure was assessed using a Quarkb2 respiratory gas analyzer. RESULTS: Commercial wearable watches and mobile applications were more accurate than research-grade accelerometers for monitoring steps during walking and running in older adults. HR measurements from wearable watches were more accurate than those from reference devices. Although energy expenditure measurements from mobile applications and wearable watches were less accurate than measurements of steps and HRs their accuracy was comparable to that of research-grade accelerometers. CONCLUSIONS: This study provides insights into the strengths of using wearable devices in healthcare and fitness fields, which seek to monitor and actively manage the physical activity of older adults using wearable trackers.
Abstract
PURPOSE: This study aimed to assess the validity of a physical activity tracking device by comparing physical activity data from older adults, including the number of steps, energy expenditure, and heart rate (HR), with data obtained from research accelerometers, wearable watches, and mobile apps. METHODS: A total of 24 healthy older adults (aged 65-79 years) wore a wearable tracking device and used a respiratory gas analyzer while walking and running on a treadmill at speeds of 3.8 km/h, 4.8 km/h, 5.6 km/h, 6.4 km/h, and 8.0 km/h, in a randomized order. This study evaluated seven wearable devices: one research accelerometer (ActiGraph GT3X+), five smartwatches/fitness trackers (Samsung Galaxy Watch Active 2, Fitbit Versa 2, Xiaomi Mi Band 4, Garmin Forerunner 945, and Apple Watch Series 2), and one mobile application. Step counts were measured directly, HR was compared using a Polar H7 HR Sensor, and energy expenditure was assessed using a Quarkb2 respiratory gas analyzer. RESULTS: Commercial wearable watches and mobile applications were more accurate than research-grade accelerometers for monitoring steps during walking and running in older adults. HR measurements from wearable watches were more accurate than those from reference devices. Although energy expenditure measurements from mobile applications and wearable watches were less accurate than measurements of steps and HRs their accuracy was comparable to that of research-grade accelerometers. CONCLUSIONS: This study provides insights into the strengths of using wearable devices in healthcare and fitness fields, which seek to monitor and actively manage the physical activity of older adults using wearable trackers.
참고문헌 (25)
- 2023 Statistics on the Elderly, "Statistics Korea", ~ (2023)
- WHO Global Action Plan on Physical Activity, "World Health Organization", ~ (2018)
- Singh MAF, "Exercise to prevent and treat functional disability", Clin Geriatr Med, 18(3), pp.431~462 (2002)
- ChodzkoZajko WJ, "Exercise and physical activity for older adults", Med Sci Sports Exerc, 41(7), pp.1510~1530 (2009)
- Jenkin CR, "Sport and ageing : a systematic review of the determinants and trends of participation in sport for older adults", BMC Public Health, 17(1), pp.1~20 (2017)[DOI]
- Sato M, "Older adults’ physical activity and healthcare costs, 2003-2014", Am J Prev Med, 58(5), pp.e141~8 (2020)[DOI]
- "WHO guidelines on physical activity and sedentary behavior" (2020)[URL]
- Troiano RP, "Evolution of accelerometer methods for physical activity research", Br J Sports Med, 48(13), pp.1019~1023 (2014)[DOI]
- Sasaki JE, "Validation and comparison of Acti-Graph activity monitors", J Sci Med Sport, 14(5), pp.411~416 (2011)[DOI]
- Tedesco S, "Validity evaluation of the fitbit charge2 and the garmin vivosmart HR+ in freeliving environments in an older adult cohort", JMIR Mhealth Uhealth, 7(6), pp.e13084~ (2019)[DOI]
- Brickwood KJ, "Older adults’ experiences of using a wearable activity tracker with health professional feedback over a 12-month randomised controlled trial", Digit Health, 6, pp.1~13 (2020)[DOI]
- Shcherbina A, "Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort", J Pers Med, 7(2), pp.3~ (2017)[DOI]
- Wang R, "Accuracy of wrist-worn heart rate monitors", JAMA Cardiol, 2(1), pp.104~106 (2017)[DOI]
- Dooley EE, "Estimating accuracy at exercise intensities : a comparative study of self-monitoring heart rate and physical activity wearable devices", JMIR Mhealth Uhealth, 5(3), pp.e34~ (2017)[DOI]
- Stahl SE, "How accurate are the wrist-based heart rate monitors during walking and running activities? Are they accurate enough?", BMJ Open Sport Exerc Med, 2(1), pp.000106~ (2016)[DOI]
- Tedesco S, "Validity evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in free-living environments in an older adult cohort", JMIR Mhealth Uhealth, 7(6), pp.e13084~ (2019)[DOI]
- Fuller D, "Reliability and validity of commercially available wearable devices for measuring steps, energy expenditure, and heart rate : systematic review", JMIR Mhealth Uhealth, 8(9), pp.e18694~ (2020)[DOI]
- Kobsar D, "Validity and reliability of wearable inertial sensors in healthy adult walking : a systematic review and meta-analysis", JNER, 17, pp.1~21 (2020)
- Cicchetti DV, "Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology", Psychol Assess, 6(4), pp.284~ (1994)
- Duncan MJ, "Walk this way: validity evidence of iphone health application step count in laboratory and free-living conditions", J Sports Sci, 36(15), pp.1695~1704 (2018)[DOI]
- Wallen MP, "Accuracy of heart rate watches : implications for weight management", PLoS One, 11(5), pp.e0154420~ (2016)[DOI]
- 2017 Survey on Senior Citizens, "Ministry of Health and Welfare", ~ (2017)
- Miller NE, "Estimating absolute and relative physical activity intensity across age via accelerometry in adults", J Aging Phys Act, 18(2), pp.158~170 (2010)[DOI]
- Barnett A, "Measuring moderateintensity walking in older adults using the ActiGraph accelerometer", BMC Geriatr, 16(1), pp.211~ (2016)[DOI]
- Chow HW, "Accuracy of optical heart rate sensing technology in wearable fitness trackers for young and older adults : validation and comparison study", JMIR Mhealth Uhealth, 8(4), pp.e14707~ (2020)[DOI]