Linked Life Data

1223673

Source:http://linkedlifedata.com/resource/pubmed/id/1223673

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1976-7-6
pubmed:abstractText
Data on 121 subjects, probands with affective disorders, their spouses and first degree relatives, are analyzed by multivariate methods to determine the relationships between physical types and propensity to illness. 56 variables are used: 39 anthropometric measures, age, sex, and 15 psychometric scales. In a canonical analysis between the anthropometric measures and the psychiatric scales, each canonical variable is found to be largely identified with a single psychometric component, as found in a principal components analysis of the psychometric scales. The two major anthropometric components, size and linearity, do not have any clear relationship with the psychometric components. However, a discriminant analysis that takes each individual as being in one of four clinical groups, normal, unipolar depressed, bipolar affective disorder or other, indicates a clear relationship between the anthropometric measures and mental illness; wide face and deep chest are associated with patients who have bipolar affective disorder. Half of the variables studied are sufficient to give virtually the same amount of discrimination as all 56 variables.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0302-282X
pubmed:author
pubmed:issnType
Print
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
87-105
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1975
pubmed:articleTitle
Multivariate analyses of anthropometric and psychometric variables in probands with affective disorders and their families.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.