Linked Life Data

2270059

Source:http://linkedlifedata.com/resource/pubmed/id/2270059

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1991-2-19
pubmed:abstractText
The comparative validity of the Michigan Alcoholism Screening Test (MAST) and the Alcohol Dependence Scale (ADS) in screening for current DSM-III alcohol abuse/dependence disorders is evaluated. These scales were administered to 501 patients presenting for treatment of alcohol or drug problems. DSM-III alcohol disorders are diagnosed using the Diagnostic Interview Schedule. Receiver Operating Characteristic (ROC) analysis is used to determine optimum threshold scores for the MAST and ADS and to compare the screening ability of the two instruments. Optimum cut points for the MAST and the ADS are 12/13 and 8/9, respectively. The overall accuracy of classification for both instruments using these threshold scores is 88%. The areas under the ROC curves are .91 and .90 (SD = .02) and there are no significant differences between the MAST and the ADS in their ability to screen for alcohol abuse or dependence in this population. The MAST and the ADS correlate highly with each other (.79). The results reported in our study should be applicable to the revised DSM-III since a field trial found a high level of agreement on alcohol disorders between the diagnostic systems. Categorical versus dimensional approaches to the assessment of alcoholism are discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0096-882X
pubmed:author
pubmed:issnType
Print
pubmed:volume
51
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
506-13
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1990
pubmed:articleTitle
Diagnostic validity of the MAST and the alcohol dependence scale in the assessment of DSM-III alcohol disorders.
pubmed:affiliation
Addiction Research Foundation, Toronto, Ontario, Canada.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't