Abstract:
:Falls are common in older adults. The most common cause of falls is tripping while walking. Simulation studies demonstrated that older adults may be restricted by lower limb strength and movement speed to regain balance after a trip. This review examines how modeling approaches can be used to determine how different measures predict actual fall risk and what some of the causal mechanisms of fall risk are. Although increased gait variability predicts increased fall risk experimentally, it is not clear which variability measures could best be used, or what magnitude of change corresponded with increased fall risk. With a simulation study we showed that the increase in fall risk with a certain increase in gait variability was greatly influenced by the initial level of variability. Gait variability can therefore not easily be used to predict fall risk. We therefore explored other measures that may be related to fall risk and investigated the relationship between stability measures such as Floquet multipliers and local divergence exponents and actual fall risk in a dynamic walking model. We demonstrated that short-term local divergence exponents were a good early predictor for fall risk. Neuronal noise increases with age. It has however not been fully understood if increased neuronal noise would cause an increased fall risk. With our dynamic walking model we showed that increased neuronal noise caused increased fall risk. Although people who are at increased risk of falling reduce their walking speed it had been questioned whether this slower speed would actually cause a reduced fall risk. With our model we demonstrated that a reduced walking speed caused a reduction in fall risk. This may be due to the decreased kinematic variability as a result of the reduced signal-dependent noise of the smaller muscle forces that are required for slower. These insights may be used in the development of fall prevention programs in order to better identify those at increased risk of falling and to target those factors that influence fall risk most.
journal_name
Hum Mov Scijournal_title
Human movement scienceauthors
Roos PE,Dingwell JBdoi
10.1016/j.humov.2013.07.001subject
Has Abstractpub_date
2013-10-01 00:00:00pages
984-96issue
5eissn
0167-9457issn
1872-7646pii
S0167-9457(13)00077-8journal_volume
32pub_type
杂志文章,评审abstract::In this study, we examine several key psychometric properties (reliability, construct validity, concurrent validity) of the Developmental Coordination Disorder Questionnaire (DCD-Q) using a large, school-based sample of children (n=523) and their parents. Children completed the Children's Self-perceptions of Adequacy ...
journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2008.04.002
更新日期:2008-12-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2012.11.009
更新日期:2013-10-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章,评审
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journal_title:Human movement science
pub_type: 杂志文章,随机对照试验
doi:10.1016/j.humov.2008.03.006
更新日期:2008-10-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2012.05.002
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2010.02.005
更新日期:2011-04-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2005.11.008
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2018.03.016
更新日期:2018-06-01 00:00:00
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journal_title:Human movement science
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journal_title:Human movement science
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2017.08.005
更新日期:2017-10-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2008.07.003
更新日期:2008-12-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2017.10.007
更新日期:2017-12-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2007.05.007
更新日期:2008-02-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2015.08.016
更新日期:2015-12-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2008.09.001
更新日期:2009-02-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2016.03.001
更新日期:2016-06-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2008.01.001
更新日期:2008-06-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2015.02.006
更新日期:2015-06-01 00:00:00
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journal_title:Human movement science
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doi:10.1016/j.humov.2020.102592
更新日期:2020-04-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2010.06.002
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journal_title:Human movement science
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doi:10.1016/j.humov.2015.05.006
更新日期:2015-08-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/s0167-9457(02)00169-0
更新日期:2002-12-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2018.10.009
更新日期:2018-12-01 00:00:00
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journal_title:Human movement science
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doi:10.1016/j.humov.2019.102525
更新日期:2019-12-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2007.08.001
更新日期:2008-02-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/s0167-9457(02)00177-x
更新日期:2003-02-01 00:00:00
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journal_title:Human movement science
pub_type: 杂志文章
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journal_title:Human movement science
pub_type: 杂志文章
doi:10.1016/j.humov.2017.01.003
更新日期:2017-04-01 00:00:00