Linked Life Data

1401396

Source:http://linkedlifedata.com/resource/pubmed/id/1401396

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1992-11-12
pubmed:abstractText
Results of a prospective examination (N = 618) of factors associated with smoking relapse are reported. At 1-year follow-up, a modified version of the Fagerstrom Tolerance Questionnaire (Dependence Index; DI) and a measure of craving entered the logistic model (odds ratio of 2.7 [p less than .001]). At Year 2, only the DI entered the model (odds ratio of 2.2 [p less than .001]). The ability of signal detection analysis (SDA) to produce clinically useful decision rules was also examined. At Year 1, SDA produced 1 subgroup with a 25% nonrelapse rate and another with a 9% nonrelapse rate (odds ratio of 3.4 [p less than .001]). At Year 2, SDA produced 1 subgroup with a nonrelapse rate of 19% and another with a nonrelapse rate of 7% (odds ratio of 3.0 [p less than .001]). The use of signal detection methods may help clinicians to identify those at greater or lesser risk of relapse.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0022-006X
pubmed:author
pubmed:issnType
Print
pubmed:volume
60
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
797-801
pubmed:dateRevised
2009-11-11
pubmed:meshHeading
pubmed:year
1992
pubmed:articleTitle
Who will relapse? Symptoms of nicotine dependence predict long-term relapse after smoking cessation.
pubmed:affiliation
National Institute of Child Health and Human Development, Bethesda, Maryland 20892.
pubmed:publicationType
Journal Article, Clinical Trial, Research Support, U.S. Gov't, P.H.S.