Generating an Efficient Version of the Edinburgh Postnatal Depression Scale in an Urban Obstetrical Population
Abstract Background Postpartum depression incurs significant burden and suffering. Methods We investigated the latent structure of the most commonly used screening measure, the Edinburgh Postnatal Depression Scale (EPDS) in women ( N = 15,172) and tested its predictive validity for the diagnosis of...
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Published in | Journal of affective disorders Vol. 208; pp. 615 - 620 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
15.01.2017
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Abstract | Abstract Background Postpartum depression incurs significant burden and suffering. Methods We investigated the latent structure of the most commonly used screening measure, the Edinburgh Postnatal Depression Scale (EPDS) in women ( N = 15,172) and tested its predictive validity for the diagnosis of depression as determined with a structured clinical interview. Exploratory and confirmatory factor analyses, Receiver Operating Characteristic curves, and logistic regression analyses were conducted. Results A seven-item one factor scale (items 1, 2, 6, 7, 8, 9, 10) emerged with a Goodness of Index Fit Index (GFI) = 0.96, relative to the ten-item two factor version of the EPDS (GFI =0.94). The seven-item EPDS achieved good sensitivity and specificity in predicting the 10-item EPDS, with a cut point score of 4 on the seven item EPDS to predict a 10-item EPDS score of 10 or more (sensitivity = 95%, specificity = 91%). The seven and 10-item EPDS showed a similar ability to predict a diagnoses of depression (area under the ROC curve=0.795 for the 10-item, 0.770 for the seven-item EPDS). Logistic regression analyses showed similar predictive ability between the seven- and 10-item scales in predicting scores higher than 18 on the clinical interview Limitations The sample represents women from one Midwest medical center and the EPDS was measured via phone. Conclusion The seven-item one factor version of the EPDS is an efficient and effective measure of depression severity on par with the two factor 10-item version of the EPDS. |
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AbstractList | BACKGROUNDPostpartum depression incurs significant burden and suffering.METHODSWe investigated the latent structure of the most commonly used screening measure, the Edinburgh Postnatal Depression Scale (EPDS) in women (N=15,172) and tested its predictive validity for the diagnosis of depression as determined with a structured clinical interview. Exploratory and confirmatory factor analyses, Receiver Operating Characteristic curves, and logistic regression analyses were conducted.RESULTSA seven-item one factor scale (items 1, 2, 6, 7, 8, 9, 10) emerged with a Goodness of Index Fit Index (GFI) =.96, relative to the ten-item two factor version of the EPDS (GFI =.94). The seven-item EPDS achieved good sensitivity and specificity in predicting the 10-item EPDS, with a cut point score of 4 on the seven item EPDS to predict a 10-item EPDS score of 10 or more (sensitivity =95%, specificity =91%). The seven and 10-item EPDS showed a similar ability to predict a diagnoses of depression (area under the ROC curve=.795 for the 10-item, .770 for the seven-item EPDS). Logistic regression analyses showed similar predictive ability between the seven- and 10-item scales in predicting scores higher than 18 on the clinical interview LIMITATIONS: The sample represents women from one Midwest medical center and the EPDS was measured via phone.CONCLUSIONThe seven-item one factor version of the EPDS is an efficient and effective measure of depression severity on par with the two factor 10-item version of the EPDS. Postpartum depression incurs significant burden and suffering. We investigated the latent structure of the most commonly used screening measure, the Edinburgh Postnatal Depression Scale (EPDS) in women (N=15,172) and tested its predictive validity for the diagnosis of depression as determined with a structured clinical interview. Exploratory and confirmatory factor analyses, Receiver Operating Characteristic curves, and logistic regression analyses were conducted. A seven-item one factor scale (items 1, 2, 6, 7, 8, 9, 10) emerged with a Goodness of Index Fit Index (GFI) =.96, relative to the ten-item two factor version of the EPDS (GFI =.94). The seven-item EPDS achieved good sensitivity and specificity in predicting the 10-item EPDS, with a cut point score of 4 on the seven item EPDS to predict a 10-item EPDS score of 10 or more (sensitivity =95%, specificity =91%). The seven and 10-item EPDS showed a similar ability to predict a diagnoses of depression (area under the ROC curve=.795 for the 10-item, .770 for the seven-item EPDS). Logistic regression analyses showed similar predictive ability between the seven- and 10-item scales in predicting scores higher than 18 on the clinical interview LIMITATIONS: The sample represents women from one Midwest medical center and the EPDS was measured via phone. The seven-item one factor version of the EPDS is an efficient and effective measure of depression severity on par with the two factor 10-item version of the EPDS. Postpartum depression incurs significant burden and suffering. We investigated the latent structure of the most commonly used screening measure, the Edinburgh Postnatal Depression Scale (EPDS) in women (N=15,172) and tested its predictive validity for the diagnosis of depression as determined with a structured clinical interview. Exploratory and confirmatory factor analyses, Receiver Operating Characteristic curves, and logistic regression analyses were conducted. A seven-item one factor scale (items 1, 2, 6, 7, 8, 9, 10) emerged with a Goodness of Index Fit Index (GFI) =.96, relative to the ten-item two factor version of the EPDS (GFI =.94). The seven-item EPDS achieved good sensitivity and specificity in predicting the 10-item EPDS, with a cut point score of 4 on the seven item EPDS to predict a 10-item EPDS score of 10 or more (sensitivity =95%, specificity =91%). The seven and 10-item EPDS showed a similar ability to predict a diagnoses of depression (area under the ROC curve=.795 for the 10-item, .770 for the seven-item EPDS). Logistic regression analyses showed similar predictive ability between the seven- and 10-item scales in predicting scores higher than 18 on the clinical interview The sample represents women from one Midwest medical center and the EPDS was measured via phone. The seven-item one factor version of the EPDS is an efficient and effective measure of depression severity on par with the two factor 10-item version of the EPDS. •We tested the internal factor consistency and internal reliability of the EPDS.•Our results show a seven-item one factor scale in predicting scores of 18 or higher on a clinical interview.•The seven-item one factor version of the EPDS is an efficient measure of depression severity. Abstract Background Postpartum depression incurs significant burden and suffering. Methods We investigated the latent structure of the most commonly used screening measure, the Edinburgh Postnatal Depression Scale (EPDS) in women ( N = 15,172) and tested its predictive validity for the diagnosis of depression as determined with a structured clinical interview. Exploratory and confirmatory factor analyses, Receiver Operating Characteristic curves, and logistic regression analyses were conducted. Results A seven-item one factor scale (items 1, 2, 6, 7, 8, 9, 10) emerged with a Goodness of Index Fit Index (GFI) = 0.96, relative to the ten-item two factor version of the EPDS (GFI =0.94). The seven-item EPDS achieved good sensitivity and specificity in predicting the 10-item EPDS, with a cut point score of 4 on the seven item EPDS to predict a 10-item EPDS score of 10 or more (sensitivity = 95%, specificity = 91%). The seven and 10-item EPDS showed a similar ability to predict a diagnoses of depression (area under the ROC curve=0.795 for the 10-item, 0.770 for the seven-item EPDS). Logistic regression analyses showed similar predictive ability between the seven- and 10-item scales in predicting scores higher than 18 on the clinical interview Limitations The sample represents women from one Midwest medical center and the EPDS was measured via phone. Conclusion The seven-item one factor version of the EPDS is an efficient and effective measure of depression severity on par with the two factor 10-item version of the EPDS. |
Author | Wisniewski, Stephen R Eng, Heather F Ciolino, Jody D Dills, John Louis Gollan, Jackie K Wisner, Katherine L Luther, James F Sit, Dorothy |
AuthorAffiliation | 1 Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 676 North St Clair Street, Suite 1000, Chicago, IL, 60611 USA 5 Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, 127 Parran Hall, 130 DeSoto Street, Pittsburgh, Pennsylvania, 15261, USA 2 Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, 127 Parran Hall, 130 DeSoto Street, Pittsburgh, Pennsylvania, 15261, USA 3 Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, 127 Parran Hall, 130 DeSoto Street, Pittsburgh, Pennsylvania, 15261, USA 4 Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, 127 Parran Hall, 130 DeSoto Street, Pittsburgh, Pennsylvania, 15261, USA 8 Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 676 North St Clair Street, Suite 1000, Chicago, IL, 60611 USA 6 Department of Psychiatry a |
AuthorAffiliation_xml | – name: 6 Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 676 North St Clair Street, Suite 1000, Chicago, IL, 60611 USA – name: 4 Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, 127 Parran Hall, 130 DeSoto Street, Pittsburgh, Pennsylvania, 15261, USA – name: 8 Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 676 North St Clair Street, Suite 1000, Chicago, IL, 60611 USA – name: 2 Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, 127 Parran Hall, 130 DeSoto Street, Pittsburgh, Pennsylvania, 15261, USA – name: 3 Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, 127 Parran Hall, 130 DeSoto Street, Pittsburgh, Pennsylvania, 15261, USA – name: 1 Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 676 North St Clair Street, Suite 1000, Chicago, IL, 60611 USA – name: 7 Department of Preventive Medicine-Biostatistics, Northwestern University Feinberg School of Medicine, 680 N Lake Shore Drive, Suite 1400, Chicago IL 60611, Chicago, IL, 60611 USA – name: 5 Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, 127 Parran Hall, 130 DeSoto Street, Pittsburgh, Pennsylvania, 15261, USA |
Author_xml | – sequence: 1 fullname: Gollan, Jackie K – sequence: 2 fullname: Wisniewski, Stephen R – sequence: 3 fullname: Luther, James F – sequence: 4 fullname: Eng, Heather F – sequence: 5 fullname: Dills, John Louis – sequence: 6 fullname: Sit, Dorothy – sequence: 7 fullname: Ciolino, Jody D – sequence: 8 fullname: Wisner, Katherine L |
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Keywords | Pregnancy Factor structure Depression EDPS Anxiety |
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Snippet | Abstract Background Postpartum depression incurs significant burden and suffering. Methods We investigated the latent structure of the most commonly used... Postpartum depression incurs significant burden and suffering. We investigated the latent structure of the most commonly used screening measure, the Edinburgh... BACKGROUNDPostpartum depression incurs significant burden and suffering.METHODSWe investigated the latent structure of the most commonly used screening... |
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SubjectTerms | Adult Anxiety Depression Depression - diagnosis Depression, Postpartum - diagnosis Depression, Postpartum - epidemiology EDPS Factor Analysis, Statistical Factor structure Female Humans Mass Screening - methods Mothers - psychology Pregnancy Psychiatry Risk Assessment ROC Curve Sensitivity and Specificity Surveys and Questionnaires - standards Urban Population - statistics & numerical data Young Adult |
Title | Generating an Efficient Version of the Edinburgh Postnatal Depression Scale in an Urban Obstetrical Population |
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