Discriminative Mobility Characteristics between Neurotypical Young, Middle-Aged, and Older Adults Using Wireless Inertial Sensors
Age-related mobility research often highlights significant mobility differences comparing neurotypical young and older adults, while neglecting to report mobility outcomes for middle-aged adults. Moreover, these analyses regularly do not determine which measures of mobility can discriminate groups i...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/19/6644 |
_version_ | 1797515741063282688 |
---|---|
author | Clayton W. Swanson Brett W. Fling |
author_facet | Clayton W. Swanson Brett W. Fling |
author_sort | Clayton W. Swanson |
collection | DOAJ |
description | Age-related mobility research often highlights significant mobility differences comparing neurotypical young and older adults, while neglecting to report mobility outcomes for middle-aged adults. Moreover, these analyses regularly do not determine which measures of mobility can discriminate groups into their age brackets. Thus, the current study aimed to provide a comprehensive analysis for commonly performed aspects of mobility (walking, turning, sit-to-stand, and balance) to determine which variables were significantly different and furthermore, able to discriminate between neurotypical young adults (YAs), middle-aged adults (MAAs), and older adults (OAs). This study recruited 20 YAs, 20 MAAs, and 20 OAs. Participants came into the laboratory and completed mobility testing while wearing wireless inertial sensors. Mobility tests assessed included three distinct two-minute walks, 360° turns, five times sit-to-stands, and a clinical balance test, capturing 99 distinct mobility metrics. Of the various mobility tests assessed, only 360° turning measures demonstrated significance between YAs and MAAs, although the capacity to discriminate between groups was achieved for gait and turning measures. A variety of mobility measures demonstrated significance between MAAs and OAs, and furthermore discrimination was achieved for each mobility test. These results indicate greater mobility differences between MAAs and OAs, although discrimination is achievable for both group comparisons. |
first_indexed | 2024-03-10T06:51:34Z |
format | Article |
id | doaj.art-d9762d6b1e7d4792ab9fa95e9c7a47cc |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T06:51:34Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-d9762d6b1e7d4792ab9fa95e9c7a47cc2023-11-22T16:49:13ZengMDPI AGSensors1424-82202021-10-012119664410.3390/s21196644Discriminative Mobility Characteristics between Neurotypical Young, Middle-Aged, and Older Adults Using Wireless Inertial SensorsClayton W. Swanson0Brett W. Fling1Brain Rehabilitation Research Center, Malcom Randall VA Medical Center, 1601 SW Archer Road, Gainesville, FL 32608, USADepartment of Health & Exercise Science, Colorado State University, Fort Collins, CO 80521, USAAge-related mobility research often highlights significant mobility differences comparing neurotypical young and older adults, while neglecting to report mobility outcomes for middle-aged adults. Moreover, these analyses regularly do not determine which measures of mobility can discriminate groups into their age brackets. Thus, the current study aimed to provide a comprehensive analysis for commonly performed aspects of mobility (walking, turning, sit-to-stand, and balance) to determine which variables were significantly different and furthermore, able to discriminate between neurotypical young adults (YAs), middle-aged adults (MAAs), and older adults (OAs). This study recruited 20 YAs, 20 MAAs, and 20 OAs. Participants came into the laboratory and completed mobility testing while wearing wireless inertial sensors. Mobility tests assessed included three distinct two-minute walks, 360° turns, five times sit-to-stands, and a clinical balance test, capturing 99 distinct mobility metrics. Of the various mobility tests assessed, only 360° turning measures demonstrated significance between YAs and MAAs, although the capacity to discriminate between groups was achieved for gait and turning measures. A variety of mobility measures demonstrated significance between MAAs and OAs, and furthermore discrimination was achieved for each mobility test. These results indicate greater mobility differences between MAAs and OAs, although discrimination is achievable for both group comparisons.https://www.mdpi.com/1424-8220/21/19/6644mobilityagingmiddle-aged adultsyoung adultsolder adultsgait |
spellingShingle | Clayton W. Swanson Brett W. Fling Discriminative Mobility Characteristics between Neurotypical Young, Middle-Aged, and Older Adults Using Wireless Inertial Sensors Sensors mobility aging middle-aged adults young adults older adults gait |
title | Discriminative Mobility Characteristics between Neurotypical Young, Middle-Aged, and Older Adults Using Wireless Inertial Sensors |
title_full | Discriminative Mobility Characteristics between Neurotypical Young, Middle-Aged, and Older Adults Using Wireless Inertial Sensors |
title_fullStr | Discriminative Mobility Characteristics between Neurotypical Young, Middle-Aged, and Older Adults Using Wireless Inertial Sensors |
title_full_unstemmed | Discriminative Mobility Characteristics between Neurotypical Young, Middle-Aged, and Older Adults Using Wireless Inertial Sensors |
title_short | Discriminative Mobility Characteristics between Neurotypical Young, Middle-Aged, and Older Adults Using Wireless Inertial Sensors |
title_sort | discriminative mobility characteristics between neurotypical young middle aged and older adults using wireless inertial sensors |
topic | mobility aging middle-aged adults young adults older adults gait |
url | https://www.mdpi.com/1424-8220/21/19/6644 |
work_keys_str_mv | AT claytonwswanson discriminativemobilitycharacteristicsbetweenneurotypicalyoungmiddleagedandolderadultsusingwirelessinertialsensors AT brettwfling discriminativemobilitycharacteristicsbetweenneurotypicalyoungmiddleagedandolderadultsusingwirelessinertialsensors |