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The Edinburgh Postnatal Depression Scale: translation and validation for a Greek sample.

Vivilaki VG, Dafermos V, Kogevinas M, Bitsios P, Lionis C - BMC Public Health (2009)

Bottom Line: The psychometric measurements that were performed included: two independent samples t-tests, One-way analysis of variance (ANOVA), reliability coefficients, Explanatory factor analysis using a Varimax rotation and Principal Components Method.The Confirmatory Factor analysis demonstrated that the two factor model offered a very good fit to our data.The area under ROC curve AUC was found 0.7470 and the logistic estimate for the threshold score of 8/9 fitted the model sensitivity at 76.7% and model specificity at 68.3%.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece. v_vivilaki@yahoo.co.uk

ABSTRACT

Background: Edinburgh Postnatal Depression Scale (EPDS) is an important screening instrument that is used routinely with mothers during the postpartum period for early identification of postnatal depression. The purpose of this study was to validate the Greek version of EPDS along with sensitivity, specificity and predictive values.

Methods: 120 mothers within 12 weeks postpartum were recruited from the perinatal care registers of the Maternity Departments of 4 Hospitals of Heraklion municipality, Greece. EPDS and Beck Depression Inventory-II (BDI-II) surveys were administered in random order to the mothers. Each mother was diagnosed with depression according to the validated Greek version of BDI-II. The psychometric measurements that were performed included: two independent samples t-tests, One-way analysis of variance (ANOVA), reliability coefficients, Explanatory factor analysis using a Varimax rotation and Principal Components Method. Confirmatory analysis -known as structural equation modelling- of principal components was conducted by LISREL (Linear Structural Relations). A receiver operating characteristic (ROC) analysis was carried out to evaluate the global functioning of the scale.

Results: 8 (6.7%) of the mothers were diagnosed with major postnatal depression, 14 (11.7%) with moderate and 38 (31.7%) with mild depression on the basis of BDI-II scores. The internal consistency of the EPDS Greek version -using Chronbach's alpha coefficient- was found 0.804 and that of Guttman split-half coefficient 0.742. Our findings confirm the multidimensionality of EPDS, demonstrating a two-factor structure which contained subscales reflecting depressive symptoms and anxiety. The Confirmatory Factor analysis demonstrated that the two factor model offered a very good fit to our data. The area under ROC curve AUC was found 0.7470 and the logistic estimate for the threshold score of 8/9 fitted the model sensitivity at 76.7% and model specificity at 68.3%.

Conclusion: Our data confirm the validity of the Greek version of the EPDS in identifying postnatal depression. The Greek EPDS scale could be used as a useful instrument in both clinical practice and research.

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Confirmatory Factor Analysis.
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Figure 3: Confirmatory Factor Analysis.

Mentions: Confirmatory factor analysis was conducted to determine whether data are consistent with the apriori specified model that has been suggested by exploratory factor analysis in order to evaluate whether the data fit the model adequately. The two factor-model was based on correlated factors that derived from the factor analysis using principal component analysis with varimax rotation by SPSS 16. The two latent variables Depress (Questions 7, 8, 9) and Anxiety (Questions 4, 5, 6) were strongly correlate (r = 0.65, p < 0.05) with method Maximum Likelihood (Figure 3). LISREL estimates, standard error, t-values, error terms and r2 for all the questions that consisted each latent variables are presented at Table 4. The error terms correlated significantly (with a range of: 0.20 to 0.57) Goodness of Fit Statistics were also estimated; Minimum Fit Function Chi-Square= 9.84, p = 0.28; Comparative Fit Index (CFI) = 0.99; Goodness of Fit Index (GFI) = 0.97; Adjusted Goodness of Fit Index (AGFI) = 0.93; Standardized Root Mean Square Residual (SRMR) = 0.041.


The Edinburgh Postnatal Depression Scale: translation and validation for a Greek sample.

Vivilaki VG, Dafermos V, Kogevinas M, Bitsios P, Lionis C - BMC Public Health (2009)

Confirmatory Factor Analysis.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2748079&req=5

Figure 3: Confirmatory Factor Analysis.
Mentions: Confirmatory factor analysis was conducted to determine whether data are consistent with the apriori specified model that has been suggested by exploratory factor analysis in order to evaluate whether the data fit the model adequately. The two factor-model was based on correlated factors that derived from the factor analysis using principal component analysis with varimax rotation by SPSS 16. The two latent variables Depress (Questions 7, 8, 9) and Anxiety (Questions 4, 5, 6) were strongly correlate (r = 0.65, p < 0.05) with method Maximum Likelihood (Figure 3). LISREL estimates, standard error, t-values, error terms and r2 for all the questions that consisted each latent variables are presented at Table 4. The error terms correlated significantly (with a range of: 0.20 to 0.57) Goodness of Fit Statistics were also estimated; Minimum Fit Function Chi-Square= 9.84, p = 0.28; Comparative Fit Index (CFI) = 0.99; Goodness of Fit Index (GFI) = 0.97; Adjusted Goodness of Fit Index (AGFI) = 0.93; Standardized Root Mean Square Residual (SRMR) = 0.041.

Bottom Line: The psychometric measurements that were performed included: two independent samples t-tests, One-way analysis of variance (ANOVA), reliability coefficients, Explanatory factor analysis using a Varimax rotation and Principal Components Method.The Confirmatory Factor analysis demonstrated that the two factor model offered a very good fit to our data.The area under ROC curve AUC was found 0.7470 and the logistic estimate for the threshold score of 8/9 fitted the model sensitivity at 76.7% and model specificity at 68.3%.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece. v_vivilaki@yahoo.co.uk

ABSTRACT

Background: Edinburgh Postnatal Depression Scale (EPDS) is an important screening instrument that is used routinely with mothers during the postpartum period for early identification of postnatal depression. The purpose of this study was to validate the Greek version of EPDS along with sensitivity, specificity and predictive values.

Methods: 120 mothers within 12 weeks postpartum were recruited from the perinatal care registers of the Maternity Departments of 4 Hospitals of Heraklion municipality, Greece. EPDS and Beck Depression Inventory-II (BDI-II) surveys were administered in random order to the mothers. Each mother was diagnosed with depression according to the validated Greek version of BDI-II. The psychometric measurements that were performed included: two independent samples t-tests, One-way analysis of variance (ANOVA), reliability coefficients, Explanatory factor analysis using a Varimax rotation and Principal Components Method. Confirmatory analysis -known as structural equation modelling- of principal components was conducted by LISREL (Linear Structural Relations). A receiver operating characteristic (ROC) analysis was carried out to evaluate the global functioning of the scale.

Results: 8 (6.7%) of the mothers were diagnosed with major postnatal depression, 14 (11.7%) with moderate and 38 (31.7%) with mild depression on the basis of BDI-II scores. The internal consistency of the EPDS Greek version -using Chronbach's alpha coefficient- was found 0.804 and that of Guttman split-half coefficient 0.742. Our findings confirm the multidimensionality of EPDS, demonstrating a two-factor structure which contained subscales reflecting depressive symptoms and anxiety. The Confirmatory Factor analysis demonstrated that the two factor model offered a very good fit to our data. The area under ROC curve AUC was found 0.7470 and the logistic estimate for the threshold score of 8/9 fitted the model sensitivity at 76.7% and model specificity at 68.3%.

Conclusion: Our data confirm the validity of the Greek version of the EPDS in identifying postnatal depression. The Greek EPDS scale could be used as a useful instrument in both clinical practice and research.

Show MeSH
Related in: MedlinePlus