Association of self-reported and objectively measured sleep duration with carotid artery intima-media thickness among police officers.
Ma-CC; Burchfiel-CM; Charles-LE; Dorn-JM; Andrew-ME; Gu-JK; Joseph-PN; Fekedulegn-D; Slaven-JE; Hartley-TA; Mnatsakanova-A; Violanti-J
Am J Epidemiol 2012 Jun; 175(Suppl 11):S107
The aim of this cross-sectional study was to examine the association of self-reported sleep duration (SRSD) and objectively measured sleep duration (OMSD) with subclinical atherosclerosis, measured as carotid artery intima-media thickness (IMT) in urban police officers, a group at high risk of cardiovascular disease. Data were collected among 464 officers from the Buffalo, NY Police Department from 2004-2009. Mean maximum IMT (MMXIMT) was the average of the largest 12 values scanned bilaterally from three angles of the near and far wall of the common carotid, bulb, and internal carotid artery. SRSD was obtained via the Pittsburgh Sleep Quality Index questionnaire. OMSD was obtained using actigraphy. Linear and quadratic regression models were used to test the association of SRSD and OMSD with IMT among 431 participants (mean age: 42.3 years) and among 263 participants (mean age: 42.1 years), respectively. A U-shaped association between OMSD and MMXIMT was observed from unadjusted (P = 0.080), age-adjusted (P = 0.031), and multivariable-adjusted (P = 0.077) models using orthogonal polynomial contrast coefficients for a quadratic trend. A similar association was observed between SRSD and MMXIMT. MMXIMT values in participants with between 5.0 and 7.9 hours of SRSD and OMSD were smaller than those with less than 5.0 hours and 8.0 or more hours of sleep. Results show that less than 5.0 and 8.0 hours or more of sleep are associated with increased mean MMXIMT. These findings have important implications regarding sleep and atherosclerosis in police officers.
Sleep-disorders; Cardiovascular-system-disease; Cardiovascular-system; Cardiovascular-system-disorders; Cardiovascular-disease; Cardiovascular-function; Police-officers; Emergency-responders; Demographic-characteristics; Epidemiology; Statistical-analysis
American Journal of Epidemiology