2012 issue 2

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Volume 21, issue 2

Original article

A Polish adaptation and psychometric evaluation of the Postpartum Depression Screening Scale (PDSS) for diagnosing symptoms and signs of postnatal depression

Karolina Kossakowska1
1. Zakład Psychopatologii i Psychologii Klinicznej, Instytut Psychologii, Uniwersytet Łódzki, Łódź
Postępy Psychiatrii i Neurologii 2012; 21(2): 123–129
Keywords: postpartum depression, diagnosis, psychometric properties, adaptation, Postpartum Depression Screening Scale (PDSS)

Abstract

Objective. To evaluate psychometric properties of the Postpartum Depression Screening Scale (PDSS) in the Polish adaptation.
Methods. Participants in the study were 586 women after childbirth, at the average age of 27.9 years (SD = 4.01). They were asked to complete the Postpartum Depression Screening Scale (PDSS) translated into Polish, as well as the Beck Depression Inventory (BDI) and the Edinburgh Postpartum Depression Scale (EPDS). The two latter scales were used to assess validity of the Polish adaptation of the PDSS.
Results. The Cronbach α coeffi cients of reliability were 0,97 for the full scale, and 0.81 for the brief version, ranging from 0.73 to 0.92 for the seven PDSS subscales. The brief PDSS was signifi cantly correlated with the full scale of the tool (r = 0.90). PDSS global scores both in the full and brief versions signifi cantly correlated with the BDI (r = 0.63 and 0.56, respectively), and EPDS global scores (r = 0.67 and 0.61, respectively).
Conclusions. The reliability coeffi cients of the Polish adaptation of PDSS do not differ from these reported by the author of this scale in her original study. The Polish adaptation of the questionnaire fulfi lls basic psychometric criteria, therefore the tool can be used for the assessment of the risk for postpartum depression.

Address for correspondence:
mgr Karolina Kossakowska
Zakład Psychopatologii i Psychologii Klinicznej Instytutu Psychologii Uniwersytetu Łódzkiego
ul. Smugowa 10/12, 91‒433 Łódź
tel. (042) 66‒555‒81
fax. (042) 66‒555‒83
e-mail: karolpet@uni.lodz.pl