A Bootstrapping Method to Assess the Influence of Age, Obesity, and Gender on Probablity of Tripping as a Function of Obstacle Height
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2015/06/18
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Description:Tripping accounts for an estimated 53% of falls among older adults. The most common measure for characterizing the probability of tripping while walking is the minimum foot clearance (MFC) during swing. A decrease in the central tendency (i.e. mean/median) of MFC, or an increase in MFC variability, are both associated with an increased probability of tripping. These indirect measures of probability of tripping can lead to ambiguous results, though, when both increase or decrease simultaneously. Moreover, median MFC and MFC IQR are positively correlated, indicating concurrent increases or decreases in both are to be expected. The purpose of this study was to develop a method that can determine the probability of tripping and to compare this probability between groups of interest while avoiding the noted ambiguous situations (i.e., wherein median MFC and MFC IQR concurrently increase or decrease). This method was applied to a experimental dataset to estimate differences in the probability of tripping with respect to obesity, age, and gender. These specific factors were investigated based upon reports of elevated risks of falling and sustaining a fall-related injury among obese adults, older adults and females. [Description provided by NIOSH]
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ISBN:9780692455999
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Pages in Document:1-2
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NIOSHTIC Number:nn:20053989
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Citation:SB3C2015: Summer Biomechanics, Bioengineering and Biotransport Conference, June 17-20, 2015, Snowbird, Utah. Lancaster, PA: Summer Biomechanics, Bioengineering and Biotransport Organizing Committee, 2015 Jun; :1-2
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Federal Fiscal Year:2015
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Performing Organization:Virginia Polytechnic Institute and State University
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Peer Reviewed:False
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Start Date:20110901
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Source Full Name:SB3C2015: Summer Biomechanics, Bioengineering and Biotransport Conference, June 17-20, 2015, Snowbird, Utah
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End Date:20150831
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Main Document Checksum:urn:sha-512:04432ca146971db4b58cfc9b7d542ce2b7998a7f66c33d5028d90ce518884f9bb1b7647a424d4ed5c434e7c9e96316b4bf323c56717f61367baa7ca8e344920f
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