Linked Life Data

16891574

Source:http://linkedlifedata.com/resource/pubmed/id/16891574

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-8-7
pubmed:abstractText
A growing body of research is identifying the molecular and genetic correlates of psychopathology and holds tremendous promise in suggesting the biologic mechanisms that may explain emergent posttraumatic stress disorder (PTSD) phenotypes. Another body of research has begun to consider how elements of the social context may influence the risk of PTSD. It is likely that the social context and molecular/genetic factors jointly determine the risk of PTSD and as such scientific inquiry that considers the interrelationship of these factors stands to advance the field. However, there are particular conceptual and methodologic challenges to conducting and designing studies that adequately assess both the social context and the biologic determinants of PTSD. Much of the current research exploring the biology of PTSD is conducted with highly selective samples that were recruited on the basis of strict phenotypic or medical history criteria. In contrast, population-based sampling represents an opportunity to obtain heterogeneous samples that better represent the population distribution of relevant molecular, genotypic, and phenotypic parameters of interest. These sampling strategies also allow researchers to consider the role of the social context and in turn, how the social context influences the molecular determinants of PTSD. An example of our own work illustrates the feasibility of the population-based sampling approach.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0077-8923
pubmed:author
pubmed:issnType
Print
pubmed:volume
1071
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
231-41
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Social context and the psychobiology of posttraumatic stress.
pubmed:affiliation
Department of Epidemiology, University of Michigan School of Public Health, 1214 S. University, Ann Arbor, MI 48104, USA. sgalea@umich.edu
pubmed:publicationType
Journal Article, Review