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Estimating psychiatric morbidity by logistic regression: application to post-natal depression in a community sample

Published online by Cambridge University Press:  09 July 2009

Andrew D. Carothers  and
Lynne Murray
Andrew D. Carothers*
Affiliation:
Medical Research Council Human Genetics Unit, Edinburgh and Child Care and Development Group, University of Cambridge
Lynne Murray
Affiliation:
Medical Research Council Human Genetics Unit, Edinburgh and Child Care and Development Group, University of Cambridge
*
1Address for correspondence: Dr Andrew Carothers, MRC Human Genetics Unit, Western General Hospital, Crewe Road, Edinburgh EH4 2XU.
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Synopsis

The use of logistic regression to estimate the prevalence of psychiatric morbidity in community samples is illustrated here with data from a study of post-natal depression in 702 primiparous Cambridge mothers. The method is also used to validate the primary screening instrument (in this case the Edinburgh Postnatal Depression Scale – EPDS), and to estimate the effects of cofactors, such as maternal age, previous psychiatric history and social class.

Type
Original Articles
Information
Psychological Medicine , Volume 20 , Issue 3 , August 1990 , pp. 695 - 702
Copyright
Copyright © Cambridge University Press 1990

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