Please use this identifier to cite or link to this item: https://doi.org/10.3390/s19030449
Title: Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61-70 Years Old
Authors: Coni, Alice
Van Ancum, Jeanine M
Bergquist, Ronny
Mikolaizak, A Stefanie
Mellone, Sabato
Chiari, Lorenzo
Maier, Andrea B 
Pijnappels, Mirjam
Keywords: Science & Technology
Physical Sciences
Technology
Chemistry, Analytical
Engineering, Electrical & Electronic
Instruments & Instrumentation
Chemistry
Engineering
instrumented assessments
smartphone
standard clinical measures
physical function
GO
ACCELEROMETER
IMPAIRMENT
MOBILITY
Issue Date: 1-Feb-2019
Publisher: MDPI
Citation: Coni, Alice, Van Ancum, Jeanine M, Bergquist, Ronny, Mikolaizak, A Stefanie, Mellone, Sabato, Chiari, Lorenzo, Maier, Andrea B, Pijnappels, Mirjam (2019-02-01). Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61-70 Years Old. SENSORS 19 (3). ScholarBank@NUS Repository. https://doi.org/10.3390/s19030449
Abstract: Assessment of physical performance by standard clinical tests such as the 30-s Chair Stand (30CST) and the Timed Up and Go (TUG) may allow early detection of functional decline, even in high-functioning populations, and facilitate preventive interventions. Inertial sensors are emerging to obtain instrumented measures that can provide subtle details regarding the quality of the movement while performing such tests. We compared standard clinical with instrumented measures of physical performance in their ability to distinguish between high and very high functional status, stratified by the Late-Life Function and Disability Instrument (LLFDI). We assessed 160 participants from the PreventIT study (66.3 ± 2.4 years, 87 females, median LLFDI 72.31, range: 44.33–100) performing the 30CST and TUG while a smartphone was attached to their lower back. The number of 30CST repetitions and the stopwatch-based TUG duration were recorded. Instrumented features were computed from the smartphone embedded inertial sensors. Four logistic regression models were fitted and the Areas Under the Receiver Operating Curve (AUC) were calculated and compared using the DeLong test. Standard clinical and instrumented measures of 30CST both showed equal moderate discriminative ability of 0.68 (95%CI 0.60–0.76), p = 0.97. Similarly, for TUG: AUC was 0.68 (95%CI 0.60–0.77) and 0.65 (95%CI 0.56–0.73), respectively, p = 0.26. In conclusion, both clinical and instrumented measures, recorded through a smartphone, can discriminate early functional decline in healthy adults aged 61–70 years.
Source Title: SENSORS
URI: https://scholarbank.nus.edu.sg/handle/10635/234926
ISSN: 1424-8220
DOI: 10.3390/s19030449
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