Linked Life Data

15587948

Source:http://linkedlifedata.com/resource/pubmed/id/15587948

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10-12
pubmed:dateCreated
2004-12-13
pubmed:abstractText
We review findings from research on smoking, alcohol, and other drug use, which show that the network approaCh is instructive for understanding social influences on substance use. A hypothetical network is used throughout to illustrate different network findings and provide a short glossary of terms. We then describe how network analysis can be used to design more effective prevention programs and to monitor and evaluate these programs. The article closes with a discussion of the inherent transdisciplinarity of social network analysis.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1082-6084
pubmed:author
pubmed:issnType
Print
pubmed:volume
39
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1685-712
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Using social networks to understand and prevent substance use: a transdisciplinary perspective.
pubmed:affiliation
Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Alhambra, California 91803, USA. tvalente@usc.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Review