Linked Life Data

17195975

Source:http://linkedlifedata.com/resource/pubmed/id/17195975

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2007-1-4
pubmed:abstractText
Although longitudinal research is essential in understanding the nature and course of posttraumatic mental health problems, high rates of attrition often threaten the internal validity of such studies and make results hard to interpret. C. K. Scott (2004) developed an approach to minimizing attrition in longitudinal studies that consistently yielded retention rates in excess of 90% through to 2-year follow-up. In this article, the authors discuss the interface between trauma exposure and participation in longitudinal research, before describing in detail a model to address those effects. The effectiveness of the model is examined with reference to traumatic stress in a large community sample (N = 887) with eight waves of data over 2 years.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0894-9867
pubmed:author
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
757-69
pubmed:dateRevised
2011-4-14
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Maximizing follow-up in longitudinal studies of traumatized populations.
pubmed:affiliation
Chestnut Health Systems, Chicago and Bloomington, IL 60610, USA. cscott@chestnut.org
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural