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Investigating sit-to-stand velocity and power to assess functional capacity in older people
Thesis   Open access

Investigating sit-to-stand velocity and power to assess functional capacity in older people

Ryan Kenneth Woodbury
Masters by Research, Murdoch University
2022
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Abstract

Portable inertial measurement units allow movement velocity and power to be measured during functional assessments for older people, providing comprehensive assessment of their functional capacity. This study investigated the reliability of PUSH Band 2.0 velocity and power during a single, five-repetition and thirty-second duration sit-to-stand (STS) in older adults, and the relationship of these data with other tests of functional capacity. Twenty-four older adults (14 female; age: 72±5) attended one familiarisation and two experimental testing sessions. Mean STS velocity and power were measured during both testing sessions. Additionally, dynamometry assessments of maximal voluntary contraction (MVC), rate of torque development (RTD) and muscular endurance were measured in one session, while a functional testing battery was performed in the other session. The level of significance was set at p ≤ 0.05. Velocity and power demonstrated excellent relative reliability for all STS tasks (intraclass correlation coefficient = 0.91-0.98). Single-repetition STS velocity observed moderate absolute reliability (coefficient of variation = 6.5%), while velocity and power during all other STS tasks observed good absolute reliability (CV = 3.2-4.8%). Velocity during one (r = -0.64-0.57), five (r = -0.53-0.46) and thirty-second STS (r = -0.51-0.42) correlated with all functional battery scores. Thirty-second STS velocity correlated with MVC (r = 0.41), but not endurance (r = 0.27-0.36) or RTD (r = 0.24-0.37). Power during one (r = 0.50), five (r = 0.62) and thirty-second STS (r = 0.67) significantly correlated with MVC. No other significant correlations were observed. Mean STS velocity and power should not replace functional capacity assessments. However, these data may assist practitioners to monitor improvements in movement velocity and power following exercise interventions or to quantify reductions in capacity following a period of inactivity.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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