Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61⁻70 Years Old

Alice Coni, Jeanine M. van Ancum, Ronny Bergquist, A. Stefanie Mikolaizak, Sabato Mellone, Lorenzo Chiari, Andrea B. Maier, Mirjam Pijnappels

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Assessment of physical performance by standard clinical tests such as the 30-sec 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.

LanguageEnglish
Article number449
Pages1-12
Number of pages12
JournalSensors
Volume19
Issue number3
DOIs
Publication statusPublished - 22 Jan 2019

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performance tests
seats
Smartphones
disabilities
Area Under Curve
Logistic Models
Stop watches
sensors
Sensors
logistics
Logistics
regression analysis
emerging
repetition
receivers
Population
Smartphone
curves

Keywords

  • instrumented assessments
  • physical function
  • smartphone
  • standard clinical measures

Cite this

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title = "Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61⁻70 Years Old",
abstract = "Assessment of physical performance by standard clinical tests such as the 30-sec 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.",
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Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61⁻70 Years Old. / Coni, Alice; van Ancum, Jeanine M.; Bergquist, Ronny; Mikolaizak, A. Stefanie; Mellone, Sabato; Chiari, Lorenzo; Maier, Andrea B.; Pijnappels, Mirjam.

In: Sensors, Vol. 19, No. 3, 449, 22.01.2019, p. 1-12.

Research output: Contribution to JournalArticleAcademicpeer-review

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