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Activity Number:
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209
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #308948 |
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Title:
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Categorization of Sleep Patterns with Derived Actigraph Variables
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Author(s):
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James Slaven*+ and Michael Andrew and John M. Violanti and Bryan J. Vila and Cecil M. Burchfiel
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Companies:
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National Institute for Occupational Safety and Health and Centers for Disease Control and Prevention and State University of New York at Buffalo and Washington State University and National Institute for Occupational Safety and Health
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Address:
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MS 4050, Morgantown, WV, 26501,
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Keywords:
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actigraphy ; sleep patterns ; cluster analysis ; discriminant analysis
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Abstract:
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Actigraphy is an increasingly popular method of analyzing sleep cycles. Most studies that use actigraphy select only a small set of sleep variables to analyze and report. These variables are useful as descriptive statistics and as a way to categorize sleep quality, but do not fully parameterize sleep patterns. Additional information can be derived from variables regarding a participant's in-bed activity and circadian rhythm, which can aid in sleep quality characterization. In a study of health outcomes with police officers, 228 participants had their sleep analyzed with actigraphy. Sleep was categorized as good or poor using basic sleep variables. Discriminant and cluster analyses were performed on the additional sleep variables available through actigraphy. These additional variables had low error rates when discriminating between sleep qualities.
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