Linked Life Data

12653409

Source:http://linkedlifedata.com/resource/pubmed/id/12653409

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2003-3-25
pubmed:abstractText
Smoking withdrawal reports from a clinical trial (n = 893) were submitted to hierarchical linear modeling as a cross-method replication of a heterogeneity approach to withdrawal measurement and to clarify the influence of postcessation smoking on symptom reports. Five individual difference parameters tapping distinct facets of withdrawal were derived: intercepts (mean severity), linear slope (direction and rate of change), quadratic trend (curvature), volatility (scatter) and, among lapsers, a cigarette coefficent (smoking-related deflections of symptoms). All parameters were highly variable across persons. Lapsers had more aversive symptom patterns than abstainers, and symptoms tended to be higherthan otherwise predicted on lapse days. These results reinforce the conclusion that withdrawal symptoms are highly variable and argue against discarding withdrawal data from participants who lapse.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0021-843X
pubmed:author
pubmed:issnType
Print
pubmed:volume
112
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3-13
pubmed:dateRevised
2009-11-11
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
Smoking withdrawal dynamics: I. Abstinence distress in lapsers and abstainers.
pubmed:affiliation
Department of Psychological Sciences, University of Missouri-Columbia 65211, USA. PiaseckiT@missouri.edu
pubmed:publicationType
Journal Article, Clinical Trial, Research Support, U.S. Gov't, P.H.S., Randomized Controlled Trial, Research Support, Non-U.S. Gov't