rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
7
|
pubmed:dateCreated |
2011-4-5
|
pubmed:abstractText |
Long working hours are associated with increased risk for coronary heart disease (CHD). Adding information on long hours to traditional risk factors for CHD may help to improve risk prediction for this condition.
|
pubmed:grant |
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
AIM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Apr
|
pubmed:issn |
1539-3704
|
pubmed:author |
|
pubmed:copyrightInfo |
© 2011 American College of Physicians
|
pubmed:issnType |
Electronic
|
pubmed:day |
5
|
pubmed:volume |
154
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
457-63
|
pubmed:dateRevised |
2011-10-5
|
pubmed:meshHeading |
|
pubmed:year |
2011
|
pubmed:articleTitle |
Using additional information on working hours to predict coronary heart disease: a cohort study.
|
pubmed:affiliation |
Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London WC1E 6BT, United Kingdom. m.kivimaki@ucl.ac.uk
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural
|