Please use this identifier to cite or link to this item: https://doi.org/10.3390/s18072032
Title: Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults
Authors: Zhang, Wei
Schwenk, Michael
Mellone, Sabato
Paraschiv-Ionescu, Anisoara
Vereijken, Beatrix
Pijnappels, Mirjam
Mikolaizak, A Stefanie
Boulton, Elisabeth
Jonkman, Nini H
Maier, Andrea B 
Klenk, Jochen
Helbostad, Jorunn
Taraldsen, Kristin
Aminian, Kamiar
Keywords: Science & Technology
Physical Sciences
Technology
Chemistry, Analytical
Engineering, Electrical & Electronic
Instruments & Instrumentation
Chemistry
Engineering
wearable sensors
multivariate analysis
longitudinal study
functional decline
exercise intervention
GAIT
BEHAVIOR
ACCELEROMETER
TECHNOLOGY
PATTERNS
DISEASE
Issue Date: 1-Jul-2018
Publisher: MDPI
Citation: Zhang, Wei, Schwenk, Michael, Mellone, Sabato, Paraschiv-Ionescu, Anisoara, Vereijken, Beatrix, Pijnappels, Mirjam, Mikolaizak, A Stefanie, Boulton, Elisabeth, Jonkman, Nini H, Maier, Andrea B, Klenk, Jochen, Helbostad, Jorunn, Taraldsen, Kristin, Aminian, Kamiar (2018-07-01). Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults. SENSORS 18 (7). ScholarBank@NUS Repository. https://doi.org/10.3390/s18072032
Abstract: The emerging mHealth applications, incorporating wearable sensors, enables continuous monitoring of physical activity (PA). This study aimed at analyzing the relevance of a multivariate complexity metric in assessment of functional change in younger older adults. Thirty individuals (60–70 years old) participated in a 4-week home-based exercise intervention. The Community Balance and Mobility Scale (CBMS) was used for clinical assessment of the participants’ functional balance and mobility performance pre-and post-intervention. Accelerometers worn on the low back were used to register PA of one week before and in the third week of the intervention. Changes in conventional univariate PA metrics (percentage of walking and sedentary time, step counts, mean cadence) and complexity were compared to the change as measured by the CBMS. Statistical analyses (21 participants) showed significant rank correlation between the change as measured by complexity and CBMS (ρ = 0.47, p = 0.03). Smoothing the activity output improved the correlation (ρ = 0.58, p = 0.01). In contrast, change in univariate PA metrics did not show correlations. These findings demonstrate the high potential of the complexity metric being useful and more sensitive than conventional PA metrics for assessing functional changes in younger older adults.
Source Title: SENSORS
URI: https://scholarbank.nus.edu.sg/handle/10635/234983
ISSN: 1424-8220
DOI: 10.3390/s18072032
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