Confirmatory Factor Analysis of the Postpartum Depression Screening Scale-21 in a Sample of Portuguese Women

IntroductionThe postpartum depression screening scale (PDSS; Beck & Gable, 2002) is a widely used measure to assess women's depressive symptoms after their children's birth. Pereira et al. adapted, validated and developed a short-version of PDSS for Portuguese women (PDSS-21).ObjectiveTo examine the factor structure of the PDSS–21, using confirmatory factor analysis (CFA) in a sample of Portuguese women in the postpartum period.MethodsThe sample was composed of 208 women (mean age = 32.72; SD = 4.49) who completed the PDSS–21 approximately at the 6th week postpartum. CFA was used to test the model suggested by prior exploratory factor analyses of PDSS–21. AMOS software was used.ResultsAfter two items were deleted and some errors were correlated, CFA indicated a good fit for the second-order factor (χ2/df = 1.793; CFI = 0.957; GFI = 0.889, rmsea = 0.062; P [rmsea ≤ 0.05] < 0.056). The 19–item PDSS showed excellent internal consistency (α = 0.92) and the four dimensions presented Cronbach's alphas ranging between good (α = 0.83) and excellent (α = 0.93).ConclusionsThese findings suggest that the 19–item PDSS obtained through CFA is a reliable and valid measure to assess depressive symptoms among women in the postpartum period.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Confirmatory factor analysis of the perinatal depression screening scale-24

European Psychiatry ◽

10.1016/j.eurpsy.2017.02.358 ◽

2017 ◽

Vol 41 (S1) ◽

pp. S361-S361 ◽

Cited By ~ 1

Author(s):

J. Azevedo ◽

S. Xavier ◽

C. Marques ◽

E. Bento ◽

M. Marques ◽

...

Keyword(s):

Factor Analysis ◽

Depressive Symptoms ◽

Confirmatory Factor Analysis ◽

Perinatal Depression ◽

Antenatal Depression ◽

Depression Screening ◽

Local Health ◽

Antenatal Depressive Symptoms ◽

Confirmatory Factor ◽

Screening Scale

IntroductionPereira et al. (2013) adapted to the antenatal period and validated a shorter version of the original 35-items Postpartum Depression Screening Scale (PDSS [1]), composed of 24 items, selected from the exploratory factor analysis matrix. In their study, the researchers considered this version a useful alternative to evaluate depressive symptoms in pregnancy, taking into account its reliability, concurrent validity and satisfactory combinations of sensitivity and specificity to screen for antenatal depression.AimTo confirm the four dimensions’ structure of the PDSS-24 using confirmatory factor analysis.Methods616 women (mean age: 32.29 ± 4.466) in the second trimester of pregnancy (mean weeks of gestation = 17.13 ± 4.929), with uncomplicated pregnancies, completed the PDSS-24 while waiting for their routine prenatal consultation at local health medical centers.ResultsThe 4-dimensional model of PDSS-24 presented good fit (χ2[242] = 893,275; RMSEA = 0.067, CFI = 0.934, TLI = 0.94, PGFI = 0.717; P<.001). The PDSS-24 Cronbach's alpha was α=0.90; all factors presented good/excellent reliability: Derealization and failure (a = 0.87); Concentration difficulties and anxiety (a = 0.81), Suicidal ideation (a = 0.94), and sleeping difficulties (a = 0.89).ConclusionThis further validation study emphasizes that PDSS-24 in an adequate measure of antenatal depressive symptoms. To better distinguish it from the version to use in the postpartum (PDSS-21 [2]), from now on, we will denominate it perinatal depression screening scale-24.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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P-1476 - Development and validation of the portuguese short version of the postpartum depression screening scale to screen for antenatal depression

European Psychiatry ◽

10.1016/s0924-9338(12)75643-2 ◽

2012 ◽

Vol 27 ◽

pp. 1

Author(s):

A.T. Pereira ◽

S. Bos ◽

M. Marques ◽

M.J. Soares ◽

B. Maia ◽

...

Keyword(s):

Postpartum Depression ◽

Antenatal Depression ◽

Depression Screening ◽

Short Version ◽

Development And Validation ◽

Postpartum Depression Screening Scale ◽

Screening Scale

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Psychometric properties of the postpartum depression screening scale beyond the postpartum period

Research in Nursing & Health ◽

10.1002/nur.21861 ◽

2018 ◽

Vol 41 (2) ◽

pp. 185-194 ◽

Cited By ~ 3

Author(s):

Jo M. Vogeli ◽

Stephanie A. Hooker ◽

Kevin D. Everhart ◽

Peter S. Kaplan

Keyword(s):

Postpartum Depression ◽

Psychometric Properties ◽

Postpartum Period ◽

Depression Screening ◽

Postpartum Depression Screening Scale ◽

Screening Scale

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Confirmatory factor analysis of the Perinatal Depression Screening Scale-24

10.26226/morressier.588f0651d462b8028d892f33 ◽

2017 ◽

Author(s):

Julieta Azevedo

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Perinatal Depression ◽

Depression Screening ◽

Confirmatory Factor ◽

Screening Scale

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Factor Analysis of the Prediction of the Postpartum Depression Screening Scale

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16245025 ◽

2019 ◽

Vol 16 (24) ◽

pp. 5025

Author(s):

Mei Cai ◽

Yiming Wang ◽

Qian Luo ◽

Guo Wei

Keyword(s):

Factor Analysis ◽

Postpartum Depression ◽

Decision Trees ◽

Early Recognition ◽

Short Form ◽

Severe Form ◽

Depression Screening ◽

Demographic Attributes ◽

Postpartum Depression Screening Scale ◽

Screening Scale

Postpartum depression (PPD), a severe form of clinical depression, is a serious social problem. Fortunately, most women with PPD are likely to recover if the symptoms are recognized and treated promptly. We designed two test data and six classifiers based on 586 questionnaires collected from a county in North Carolina from 2002 to 2005. We used the C4.5 decision tree (DT) algorithm to form decision trees to predict the degree of PPD. Our study established the roles of attributes of the Postpartum Depression Screening Scale (PDSS), and devised the rules for classifying PPD using factor analysis based on the participants’ scores on the PDSS questionnaires. The six classifiers discard the use of PDSS Total and Short Total and make extensive use of demographic attributes contained in the PDSS questionnaires. Our research provided some insightful results. When using the short form to detect PPD, demographic information can be instructive. An analysis of the decision trees established the preferred sequence of attributes of the short form of PDSS. The most important attribute set was determined, which should make PPD prediction more efficient. Our research hopes to improve early recognition of PPD, especially when information or time is limited, and help mothers obtain timely professional medical diagnosis and follow-up treatments to minimize the harm to families and societies.

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Validity, reliability, and measurement invariance of an adapted short version of the HIV stigma scale among perinatally HIV infected adolescents at the Kenyan coast

Global Health Research and Policy ◽

10.1186/s41256-021-00229-9 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Stanley W. Wanjala ◽

Derrick Ssewanyana ◽

Patrick N. Mwangala ◽

Carophine Nasambu ◽

Esther Chongwo ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Measurement Invariance ◽

Age Groups ◽

Hiv Stigma ◽

Short Version ◽

Stigma Scale ◽

Gender And Age ◽

Confirmatory Factor ◽

Kenyan Coast

Abstract Background There is a dearth of instruments that have been developed and validated for use with children living with HIV under the age of 17 years in the Kenyan context. We examined the psychometric properties and measurement invariance of a short version of the Berger HIV stigma scale administered to perinatally HIV-infected adolescents in a rural setting on the Kenyan coast. Methods A cross-sectional study was conducted among 201 perinatally HIV-infected adolescents aged 12–17 years between November 2017 and October 2018. A short version of the Berger HIV stigma scale (HSS-40) containing twelve items (HSS-12) covering the four dimensions of stigma was evaluated. The psychometric assessment included exploratory factor analysis, confirmatory factor analysis (CFA), and multi-group CFA. Additionally, scale reliability was evaluated as internal consistency by calculating Cronbach’s alpha. Results Evaluation of the reliability and construct validity of the HSS-12 indicated insufficient reliability on three of the four subscales. Consequently, Exploratory Factor Analysis (EFA) was conducted to identify problematic items and determine ways to enhance the scale’s reliability. Based on the EFA results, two items were dropped. The Swahili version of this new 10-item HIV stigma scale (HSS-10) demonstrated excellent internal consistency with a Cronbach alpha of 0.86 (95% confidence interval (CI) 0.84–0.89). Confirmatory Factor Analysis indicated that a unidimensional model best fitted the data. The HSS-10 presented a good fit (overall Comparative Fit Index = 0.976, Tucker Lewis Index = 0.969, Root Mean Square Error of Approximation = 0.040, Standardised Root Mean Residual = 0.045). Additionally, multi-group CFA indicated measurement invariance across gender and age groups at the strict invariance level as ΔCFI was ≤ 0.01. Conclusion Our findings indicate that the HSS-10 has good psychometric properties and is appropriate for evaluating HIV stigma among perinatally HIV-infected adolescents on the Kenyan coast. Further, study results support the unidimensional model and measurement invariance across gender and age groups of the HSS-10 measure.

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