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Sensors 2018, 18(7), 2032; https://doi.org/10.3390/s18072032

Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults

1
Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland
2
Robert Bosch Foundation for Medical Research, 70376 Stuttgart, Germany
3
Network Aging Research, Heidelberg University, 69115 Heidelberg, Germany
4
Department of Electrical, Electronic and Information Engineering, University of Bologna, 40136 Bologna, Italy
5
Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway
6
Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, 1081BT Amsterdam, The Netherlands
7
School of Health Sciences, Faculty of Medicine, Biology and Health, University of Manchester, and Manchester Academic Health Science Centre, Manchester M13 9PL, UK
8
Department of Medicine and Aged Care, @AgeMelbourne, Royal Melbourne Hospital, University of Melbourne, Melbourne 3050, Australia
9
Institute of Epidemiology and Medical Biometry, Ulm University, 89081 Ulm, Germany
*
Author to whom correspondence should be addressed.
Received: 18 May 2018 / Revised: 19 June 2018 / Accepted: 21 June 2018 / Published: 25 June 2018
(This article belongs to the Special Issue Data Analytics and Applications of the Wearable Sensors in Healthcare)
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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. View Full-Text
Keywords: wearable sensors; multivariate analysis; longitudinal study; functional decline; exercise intervention wearable sensors; multivariate analysis; longitudinal study; functional decline; exercise intervention
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Zhang, W.; Schwenk, M.; Mellone, S.; Paraschiv-Ionescu, A.; Vereijken, B.; Pijnappels, M.; Mikolaizak, A.S.; Boulton, E.; Jonkman, N.H.; Maier, A.B.; Klenk, J.; Helbostad, J.; Taraldsen, K.; Aminian, K. Complexity of Daily Physical Activity Is More Sensitive Than Conventional Metrics to Assess Functional Change in Younger Older Adults. Sensors 2018, 18, 2032.

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