Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old
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 i...
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| Format: | Article |
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MDPI AG
2019-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/3/449 |
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| author | Alice Coni Jeanine M. Van Ancum Ronny Bergquist A. Stefanie Mikolaizak Sabato Mellone Lorenzo Chiari Andrea B. Maier Mirjam Pijnappels |
| author_facet | Alice Coni Jeanine M. Van Ancum Ronny Bergquist A. Stefanie Mikolaizak Sabato Mellone Lorenzo Chiari Andrea B. Maier Mirjam Pijnappels |
| author_sort | Alice Coni |
| collection | DOAJ |
| description | 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), <i>p</i> = 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, <i>p</i> = 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. |
| first_indexed | 2024-12-10T08:06:10Z |
| format | Article |
| id | doaj.art-2a3243fbc18e4be4a0fd3fb72cd9e220 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T08:06:10Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2a3243fbc18e4be4a0fd3fb72cd9e2202022-12-22T01:56:39ZengMDPI AGSensors1424-82202019-01-0119344910.3390/s19030449s19030449Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years OldAlice Coni0Jeanine M. Van Ancum1Ronny Bergquist2A. Stefanie Mikolaizak3Sabato Mellone4Lorenzo Chiari5Andrea B. Maier6Mirjam Pijnappels7Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, 40136 Bologna, ItalyDepartment of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081 BT Amsterdam, The NetherlandsDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, NorwayDepartment of Clinical Gerontology, Robert Bosch Medical Foundation, 70376 Stuttgart, GermanyDepartment of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, 40136 Bologna, ItalyDepartment of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, 40136 Bologna, ItalyDepartment of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081 BT Amsterdam, The NetherlandsDepartment of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081 BT Amsterdam, The NetherlandsAssessment 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), <i>p</i> = 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, <i>p</i> = 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.https://www.mdpi.com/1424-8220/19/3/449instrumented assessmentssmartphonestandard clinical measuresphysical function |
| spellingShingle | Alice Coni Jeanine M. Van Ancum Ronny Bergquist A. Stefanie Mikolaizak Sabato Mellone Lorenzo Chiari Andrea B. Maier Mirjam Pijnappels Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old Sensors instrumented assessments smartphone standard clinical measures physical function |
| title | Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old |
| title_full | Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old |
| title_fullStr | Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old |
| title_full_unstemmed | Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old |
| title_short | Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old |
| title_sort | comparison of standard clinical and instrumented physical performance tests in discriminating functional status of high functioning people aged 61 70 years old |
| topic | instrumented assessments smartphone standard clinical measures physical function |
| url | https://www.mdpi.com/1424-8220/19/3/449 |
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