[Psychometric properties of postpartum depression predictors inventory- revised- prenatal version in a sample of spanish pregnant women.]
Year: 2017
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: Prenatal depression is a major public health problem, therefore predicting and preventing it is a relevant objective for public health agendas. Consequently, it is important to have adequate screening tools to detect risk factors associated with prenatal depression. The aim of this study was to evaluate the psychometric properties reliability and factor structure of the Spanish version of the Postpartum Depression Predictors Inventory- Revised- Prenatal Version (PDI-R) in pregnant women who attend prenatal care in an urban hospital in Spain. METHODS: The sample was formed of 445 women receiving prenatal care in an obstetrics clinic in an urban public hospital in Madrid, Spain. The internal consistency of PDPI-R was assessed by measuring Cronbach's Alfa index, calculating the COR curve and percentiles for this sample. RESULTS: The PDPI-R showed good internal consistency in this sample (Cronbach's Alfa = 0,855). The area under the COR curve is 0,84 p≤0,001. Sensibility and specificity values were 62,3% and 69,5% respectively, and the cut-off point with greatest sensibility and specificity was 4. CONCLUSIONS: The PDPI-R is reliable and can be used to screen for risk factor for depression during pregnancy.
Source: PubMed Central
Language: Spanish
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2989077881