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Association between cigarette smokin...

Zhang, Lin.

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Association between cigarette smoking and sleep architecture.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Association between cigarette smoking and sleep architecture./
Author:	Zhang, Lin.
Description:	120 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-12, Section: B, page: 6333.
Contained By:	Dissertation Abstracts International65-12B.
Subject:	Health Sciences, Public Health. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3155717
ISBN:	0496165232

Association between cigarette smoking and sleep architecture.
Zhang, Lin.

Association between cigarette smoking and sleep architecture. - 120 p.

Source: Dissertation Abstracts International, Volume: 65-12, Section: B, page: 6333.

Thesis (Ph.D.)--The Johns Hopkins University, 2005.

Background. Although the medical hazards of cigarette smoking are well documented, its effects on sleep in general and sleep architecture specifically have not been well characterized. Studies with objective measures of sleep based on overnight polysomnography are lacking.

ISBN: 0496165232Subjects--Topical Terms:

1017659
Health Sciences, Public Health.

Association between cigarette smoking and sleep architecture.
LDR:04119nmm 2200313 4500 001 1812676
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035 $a (UnM)AAI3155717
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100 1 $a Zhang, Lin. $3 1620929
245 1 0 $a Association between cigarette smoking and sleep architecture.
300 $a 120 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-12, Section: B, page: 6333.
500 $a Adviser: Naresh Punjabi.
502 $a Thesis (Ph.D.)--The Johns Hopkins University, 2005.
520 $a Background. Although the medical hazards of cigarette smoking are well documented, its effects on sleep in general and sleep architecture specifically have not been well characterized. Studies with objective measures of sleep based on overnight polysomnography are lacking.
520 $a Objective. The overall objective of this dissertation was to exam the association between smoking and nocturnal sleep architecture as assessed by polysomnography. Sleep architecture was characterized by two distinct but complementary methods. First, conventional sleep stages based on visual scoring of the polysomnogram were examined in current, former, and never smokers. Second, techniques of spectral analysis were used to describe temporal patterns of the sleep electroencephalogram as a function of smoking status.
520 $a Method. Data from the Sleep Heart Health Study were used. The Sleep Heart Health Study is a community-based study (N = 6,441) of cardiovascular consequences of sleep-disordered breathing. Sleep and breathing abnormalities were characterized with home polysomnography. For the first objective, a subsample of 6,400 subjects was examined for differences in conventional sleep stage distribution. Methods of survival analysis and quantile regression were used to quantify the adjusted differences between never, former, and current smokers. For the second objective, a subset of 40 smokers was matched to nonsmokers on age, gender, race, body mass index, neck circumference, and use of sedatives or hypnotics. Sleep electroencephalogram was analyzed using the Fast Fourier Transform and linear cubic splines to describe the power spectra during the night.
520 $a Results. There were 2,916, 2,705 and 779 never, former, and current smokers, respectively. Compared to never smokers, current smokers had a longer adjusted sleep latency (5.4 minutes; 95% CI: 2.9, 7.9), less total sleep time (14.0 minutes; 95% CI: 6.4, 21.7), lower sleep efficiency (1.4%; 95% CI: 0.2%, 2.6%), an increase in stage 1 sleep (0.9%; 95% CI: 0.6%, 1.2%), an increase in stage 2 sleep (1.4%; 95% CI: 0.3%, 2.6%), and a decrease in slow wave sleep (3.5%; 95% CI: 2.4%, 4.6%). There were no significant associations between amount of rapid eye movement sleep and smoking. Former and never smokers had similar sleep architecture. However, heavy smokers had lower 6-power (38.5% vs. 40.2%, p < 0.01), but high cc-power (22.1% vs. 20.0%, p < 0.0002) compared to nonsmokers. The differences diminished toward the end of the sleep period. The average delta-power in the final third of the sleep period was 36.5% and 37.8% in heavy smokers and nonsmokers, respectively (p < 0.07). The average alpha-power in the final third of the sleep period was 22.4% and 20.9% in heavy smokers and nonsmokers, respectively (p < 0.006).
520 $a Conclusion. Current smoking is associated with a number of sleep related disturbances including longer sleep latency, less total sleep time, lower sleep efficiency and a shift toward lighter stages of sleep. Compared to nonsmokers, smokers manifest an aroused state with an increase in high frequency and a decrease in low frequency EEG power density. The changes in power density attenuate over time during sleep.
590 $a School code: 0098.
650 4 $a Health Sciences, Public Health. $3 1017659
690 $a 0573
710 2 0 $a The Johns Hopkins University. $3 1017431
773 0 $t Dissertation Abstracts International $g 65-12B.
790 1 0 $a Punjabi, Naresh, $e advisor
790 $a 0098
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3155717