Journal article
The association of basic and challenging motor capacity with mobility performance and falls in young seniors.
- Gordt K Network Aging Research, Heidelberg University, Bergheimer Str. 20, 69115, Heidelberg, Germany. Electronic address: gordt@nar.uni-heidelberg.de.
- Paraschiv-Ionescu A Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015, Lausanne, Switzerland. Electronic address: anisoara.ionescu@epfl.ch.
- Mikolaizak AS Department of Clinical Gerontology and Rehabilitation, Robert Bosch Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany. Electronic address: stefanie.mikolaizak@rbk.de.
- Taraldsen K Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway. Electronic address: kristin.taraldsen@ntnu.no.
- Mellone S Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Viale del Risorgimento 2, 40136, Bologna, Italy. Electronic address: sabato.mellone@unibo.it.
- Bergquist R Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway. Electronic address: ronny.bergquist@ntnu.no.
- Van Ancum JM Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands. Electronic address: j.m.van.ancum@vu.nl.
- Nerz C Department of Clinical Gerontology and Rehabilitation, Robert Bosch Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany. Electronic address: corinna.nerz@rbk.de.
- Pijnappels M Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands. Electronic address: m.pijnappels@vu.nl.
- Maier AB Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 7, 1081 BT, Amsterdam, the Netherlands; Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Centre for Medical Research Building, Victoria, 3010, Melbourne, Australia. Electronic address: Andrea.Maier@mh.org.au.
- Helbostad JL Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway. Electronic address: jorunn.helbostad@ntnu.no.
- Vereijken B Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7491, Trondheim, Norway. Electronic address: beatrix.vereijken@ntnu.no.
- Becker C Department of Clinical Gerontology and Rehabilitation, Robert Bosch Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany. Electronic address: clemens.becker@rbk.de.
- Aminian K Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, 1015, Lausanne, Switzerland. Electronic address: kamiar.aminian@epfl.ch.
- Schwenk M Network Aging Research, Heidelberg University, Bergheimer Str. 20, 69115, Heidelberg, Germany; Department of Clinical Gerontology and Rehabilitation, Robert Bosch Hospital Stuttgart, Auerbachstr. 110, 70376, Stuttgart, Germany; Institute of Sports and Sports Sciences, Heidelberg University, Im Neuenheimer Feld 700, 69120, Heidelberg, Germany. Electronic address: schwenk@nar.uni-heidelberg.de.
- 2020-06-24
Published in:
- Archives of gerontology and geriatrics. - 2020
English
BACKGROUND
Understanding the association between motor capacity (MC) (what people can do in a standardized environment), mobility performance (MP) (what people actually do in real-life) and falls is important for early detection of and counteracting on functional decline, particularly in the rapidly growing population of young seniors. Therefore, this study aims to 1) explore the association between MC and MP, and between MC and falls, and 2) investigate whether challenging MC measures are better associated with MP and falls than basic MC measures.
METHODS
Basic (habitual gait speed, Timed Up-and-Go) and challenging (fast gait speed, Community Balance & Mobility Scale) MC measures were performed in 169 young seniors (61-70 years). MP was assessed using one-week sensor-monitoring including time being sedentary, light active, and at least moderately active. Falls in the previous six months were reported. Associations and discriminative ability were calculated using correlation, regression and receiver operating curve analysis.
RESULTS
Mean age was 66.4 (SD 2.4) years (50.6 % women). Small to moderate associations (r = 0.06-0.31; p < .001-.461) were found between MC, MP and falls. Challenging MC measures showed closer associations with MP and falls (r = 0.10-0.31; p < .001-.461) compared to basic (r = 0.06-0.22; p = .012-.181), remained significant in three out of four regression models explaining 2.5-8.6 % of the variance, and showed highest discriminative ability (area under the curve = 0.59-0.70) in all analyses.
CONCLUSIONS
Challenging MC measures are closer associated with mobility performance and falls as compared to basic MC measures in young seniors. This indicates the importance of applying challenging motor capacity assessments in young seniors. On the same note, small to moderate associations imply a need for an assessment of both MC and MP in order to capture the best possible MC and the actual daily-life MP in young seniors.
Understanding the association between motor capacity (MC) (what people can do in a standardized environment), mobility performance (MP) (what people actually do in real-life) and falls is important for early detection of and counteracting on functional decline, particularly in the rapidly growing population of young seniors. Therefore, this study aims to 1) explore the association between MC and MP, and between MC and falls, and 2) investigate whether challenging MC measures are better associated with MP and falls than basic MC measures.
METHODS
Basic (habitual gait speed, Timed Up-and-Go) and challenging (fast gait speed, Community Balance & Mobility Scale) MC measures were performed in 169 young seniors (61-70 years). MP was assessed using one-week sensor-monitoring including time being sedentary, light active, and at least moderately active. Falls in the previous six months were reported. Associations and discriminative ability were calculated using correlation, regression and receiver operating curve analysis.
RESULTS
Mean age was 66.4 (SD 2.4) years (50.6 % women). Small to moderate associations (r = 0.06-0.31; p < .001-.461) were found between MC, MP and falls. Challenging MC measures showed closer associations with MP and falls (r = 0.10-0.31; p < .001-.461) compared to basic (r = 0.06-0.22; p = .012-.181), remained significant in three out of four regression models explaining 2.5-8.6 % of the variance, and showed highest discriminative ability (area under the curve = 0.59-0.70) in all analyses.
CONCLUSIONS
Challenging MC measures are closer associated with mobility performance and falls as compared to basic MC measures in young seniors. This indicates the importance of applying challenging motor capacity assessments in young seniors. On the same note, small to moderate associations imply a need for an assessment of both MC and MP in order to capture the best possible MC and the actual daily-life MP in young seniors.
- Language
-
- English
- Open access status
- closed
- Identifiers
-
- DOI 10.1016/j.archger.2020.104134
- PMID 32575015
- Persistent URL
- https://sonar.ch/global/documents/177180
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