Analysis of older adults in spanish care facilities, risk of falling and daily activity using Xiaomi Mi Band 2
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Analysis of older adults in spanish care facilities, risk of falling and daily activity using Xiaomi Mi Band 2Author(s)
Date
2021-05-11Citation
Miranda-Duro MDC, Nieto-Riveiro L, Concheiro-Moscoso P, Groba B, Pousada T, Canosa N, Pereira J. Analysis of older adults in spanish care facilities, risk of falling and daily activity using Xiaomi Mi Band 2. Sensors (Basel). 2021 May 11;21(10):3341.
Abstract
[Abstract]
Background: Presently the use of technological devices such as wearable devices has emerged. Physical activity monitoring with wearable sensors is an easy and non-intrusive approach to encourage preventive care for older adults. It may be useful to follow a continuous assessment of the risk of falling. The objective is to explore the relationship between the daily activity measured by Xiaomi Mi Band 2 and the risk of falling of older adults residing in or attending care facilities. Methods: A cross-sectional study was conducted on three different institutions located in Galicia (autonomous community) (Spain). Results: A total of 31 older adults were included in the study, with a mean age of 84 ± 8.71 years old. The main findings obtained were that a greater number of steps and distance could be related to a lower probability of falling, of dependency in basic activities of daily living, or of mobility problems. Conclusions: The importance of focusing on daily steps, intrinsically related to the objective assessment of daily physical activity, is that it is a modifiable factor that impacts different aspects of health and quality of life.
Keywords
Daily steps
Falls
Health-related quality of life
Nursing home
Occupational therapy
Physical activity
Remote monitoring
Sleep
Wearable technology
Wristband
Falls
Health-related quality of life
Nursing home
Occupational therapy
Physical activity
Remote monitoring
Sleep
Wearable technology
Wristband
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Creative Commons Attribution 4.0 International License (CC-BY 4.0)
ISSN
1424-8220