Linked Life Data

10616226

Source:http://linkedlifedata.com/resource/pubmed/id/10616226

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2000-2-7
pubmed:abstractText
Since the discovery and successful treatment of sleep apnea, researchers seem to believe that the association between sleep disturbance and coronary heart disease (CHD) has been explained. To determine whether subjective nighttime sleep complaints (trouble sleeping, trouble falling asleep, trouble staying asleep), exclusive of apnea, predicted myocardial infarction and other coronary events, a MEDLINE search was conducted for articles published between January 1976 through August 1997. Ten studies with an explicit measure of association between an insomniac complaint and CHD were identified. Reported risk ratios for various sleep complaints and CHD events ranged from 1.0 for waking too early and CHD death in an elderly North Carolina community to 8.0 for the highest versus lowest quintile of a sleep scale in Finnish men. Higher quality studies showed risk ratios of 1.47-3.90 between trouble falling asleep and coronary events after adjusting for age and various coronary risk factors (combined effect=1.7, p<0.0001). While alternative explanations such as medication use still need to be ruled out, we theorize that a subjective insomniac complaint either may be part of a larger syndrome that includes poor health and depression, or it may be related to continual stressors, reduced slow-wave sleep, and autonomic dysfunction, which increase the risk of heart problems.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0022-3999
pubmed:author
pubmed:issnType
Print
pubmed:volume
47
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
313-33
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Insomnia and heart disease: a review of epidemiologic studies.
pubmed:affiliation
Department of Epidemiology & Biostatistics, College of Public Health, University of South Florida, Tampa 33612-3805, USA. sschwart@com1.med.usf.edu
pubmed:publicationType
Journal Article, Meta-Analysis