Prevalence of postpartum depression in Spanish mothers: comparison of estimation by mean of the structured clinical interview for DSM-IV with the Edinburgh Postnatal Depression Scale
Our objectives were: To estimate the prevalence of postpartum depression (PD) by two evaluation methods: Structured Clinical Interview for DSM-IV (SCID), and self-report Edinburgh Postnatal Depression Scale (EPDS), and to identify the EPDS cut-off to provide an unbiased estimation of PD prevalence....
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Published in | Medicina clínica Vol. 120; no. 9; p. 326 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | Spanish |
Published |
Spain
15.03.2003
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Subjects | |
Online Access | Get more information |
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Summary: | Our objectives were: To estimate the prevalence of postpartum depression (PD) by two evaluation methods: Structured Clinical Interview for DSM-IV (SCID), and self-report Edinburgh Postnatal Depression Scale (EPDS), and to identify the EPDS cut-off to provide an unbiased estimation of PD prevalence.
We report data from all women (n = 1191) attending to postnatal routine checking visits at six weeks postpartum during one year in the Gynaecology and Obstetrics Department of the Hospital Clínic of Barcelona (Spain). A two-stage method was used. In the first stage, all women selected completed the EPDS. In the second stage, all women with an EPDS score >= 9 (probable PD cases) and a randomized sample of 16% with a score < 9 were evaluated by a psychiatrist using the SCID interview to establish a psychiatric diagnosis of major and minor depression. 402 postpartum women were offered the SCID interview; 68 of them refused to participate.
The prevalence of depression according to the SCID interview was 10.15% (CI 95%, 8.43-11.87). The prevalence of major depression was 3.6% (CI 95%, 2.55-4.67) and it was 6.5% (CI 95%, 5.14-7.95) for minor depression. An EPDS cut-off of 11/12 provided an unbiased estimation of the postpartum depression prevalence rate.
Our results justify the need to use different EPDS cut-offs. A cut-off of 10/11 is effective for identifying the population at risk and a cut-off of 11/12 is useful to estimate the prevalence in epidemiological studies. |
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ISSN: | 0025-7753 |
DOI: | 10.1016/S0025-7753(03)73692-6 |