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Factor analysis and structural equation modeling of actigraphy derived sleep variables.

Authors
Slaven-JE; Andrew-ME; Violanti-JM; Burchfiel-CM; Vila-BJ
Source
Open Sleep J 2008 Jan; 1:6-10
NIOSHTIC No.
20034492
Abstract
Actigraphy is a useful tool in the measurement of sleep, with many applicable variables that indicate the quality of a study participant's sleep. Typical actigraphy derived variables from sleep studies include sleep efficiency, sleep latency, total sleep time, and the number of nightly awakenings. Actigraphy can also give parameters for autocorrelation and sinusoidal fitting that are used in circadian rhythm modeling. All of these variables are useful in inferential statistics to determine differences between groups. However, no work has been done that examines a set of relationships among these various sleep variables, which can possibly reduce the dimension of the set into a smaller number of interpretable latent factors, which can aid in characterizing sleep quality. Factor analyses and structural equation modeling were used to assess how these measured sleep variables load into different factors. Analyses showed that these variables load into 3 factors: sleep time, sleep activity and circadian rhythm.
Keywords
Biological-effects; Biological-factors; Biological-function; Biological-rhythms; Sleep-disorders; Statistical-analysis; Statistical-quality-control; Mathematical-models; Circadian-rhythms
Contact
J. E. Slaven, Biostatistics and Epidemiology Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, 1095 Willowdale Rd, MS 4050, Morgantown, WV 26505, USA
Publication Date
20080124
Document Type
Journal Article
Email Address
jslaven@cdc.gov
Fiscal Year
2008
NTIS Accession No.
NTIS Price
ISSN
1874-6209
NIOSH Division
HELD
Priority Area
Services: Public Safety
Source Name
The Open Sleep Journal
State
WV; NY; WA
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