Development of a Method to Identify Fall-Prone Individuals in the Population of Parkinson Disease Patients Using Measures of Dynamic Stability
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2012/10/05
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By Mani A
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Description:The purpose: Use kinematics data from Activities of Daily Life (ADLs) to develop a method to differentiate between fall-prone and non-fall-prone people among Parkinson Disease (PD) patients. Falls are the most common cause of injury-induced death and injury-related hospitalization in the elderly (65 years and older) population. Falls are the second most common cause of hospitalization in Parkinson Disease patients. Falls can cause fractures, abrasions, cuts and soft tissue damage, reduced fitness, social isolation and psychological trauma, increasing the risk of mortality and morbidity. Falls not only affect the patient but also are a huge burden on health care costs. This study is targeted at developing an easy and practical method to identify people with higher risk of falling. [Description provided by NIOSH]
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Pages in Document:1-20
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NIOSHTIC Number:nn:20052591
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Citation:13th Annual Pilot Research Project Symposium, University of Cincinnati Education and Research Center, October 4-5, 2012, Cincinnati, Ohio. Cincinnati, OH: University of Cincinnati, 2012 Oct; :1-20
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Federal Fiscal Year:2013
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Performing Organization:University of Cincinnati
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:13th Annual Pilot Research Project Symposium, University of Cincinnati Education and Research Center, October 4-5, 2012, Cincinnati, Ohio
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End Date:20260630
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Main Document Checksum:urn:sha-512:cd4b3323f59118df2fd9a3a91fef3c2a28dc8dd230080b52ab4c04430d43dddccf1757b52e36264d15bed5b480a81cf1344aa2e24f9e848f122c14d11f37d1bf
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