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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*
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.

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
Copyright
Copyright © Cambridge University Press 1990

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