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Abstract Details
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Activity Number:
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597
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Type:
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Invited
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Computing
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| Abstract - #300220 |
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Title:
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Statistical Modeling of Sleep Quality Using Actigraphy
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Author(s):
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James Slaven*+
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Companies:
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National Institute for Occupational Safety and Health
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Address:
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1095 Willowdale Rd, Morgantown, WV, 26501, USA
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Keywords:
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Actigraphy ;
sleep ;
statistics
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Abstract:
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Actigraphy derived sleep quality, while unable to identify specific sleep disorders, is a useful tool in studies that look at the association of sleep with health outcomes. Sleep quality can be measured in a variety of ways; however, time spent asleep, sleep efficiency, and sleep fragmentation are three of the most commonly used sleep parameters to categorize sleep quality as good or poor. These variables can be derived from raw actigraphy data. These three parameters are used to infer good or poor sleep quality based on literature and expert driven cut-points. A summation score incorporating these parameters is then used to determine overall sleep quality. This presentation will describe the statistical and computational aspects of actigraphy derived sleep quality.
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Authors who are presenting talks have a * after their name.
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