The correlation between postpartum depression and health status

Carlos Zubaran, Katia Foresti, Marina Verdi Schumacher, Aline Luz Amoretti, Marianna Rossi Thorell, Lucia Cristina Muller

    Research output: Contribution to journalArticlepeer-review

    Abstract

    To investigate a purported correlation between postpartum depression and self-rated maternal general health status in a sample of mothers in Southern Brazil. As part of this process, the Personal Health Scale (PHS), a selfrated health status measure, was tested for the first time among postpartum women. Research volunteers completed the Structured Clinical Interview for DSM-IV Disorders (SCID), the 12-item General Health Questionnaire (GHQ), the PHS, the Postpartum Depression Screening Scale (PDSS), and the Edinburgh Postnatal Depression Scale (EPDS). Correlation coefficients were computed among the scores of the health status questionnaires and the postnatal depression scales. Bivariate linear regression analyses were conducted to evaluate the prediction of scores of postnatal depression scales having the scores of health status questionnaires as predictors. Significant correlations among both health status questionnaires and both postnatal screening tools attest to a significant interconnection between the expression of depressive symptoms and maternal health status in the postpartum period. The health status measures predicted the scores of postpartum depression scales. This study demonstrates that both general health questionnaires and postpartum depressive rating scales are useful tools for detecting depressive phenomena in postpartum women. The association between self-rated health measures and postpartum depression may be even more significant in the context of socioeconomic deprivation.
    Original languageEnglish
    Pages (from-to)751-757
    Number of pages7
    JournalMaternal and Child Health Journal
    Volume14
    Issue number5
    DOIs
    Publication statusPublished - 2010

    Keywords

    • postpartum depression
    • puerperium

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