Literature DB >> 23986402

Predictors of early postpartum mental distress in mothers with midwifery home care--results from a nested case-control study.

Katharina Staehelin1, Elisabeth Kurth, Christian Schindler, Monika Schmid, Elisabeth Zemp Stutz.   

Abstract

PRINCIPLES: The prevalence of early postpartum mental health conditions is high. Midwives and other health professionals visiting women at home may identify mothers at risk. This seems crucial given decreasing trends of length of hospital stay after childbirth. This study aimed to identify predictors of maternal mental distress in a midwifery home care setting.
METHODS: Using the statistical database of independent midwives' services in Switzerland in 2007, we conducted a matched nested case-control study. Out of a source population of 34,295 mothers with midwifery home care in the first ten days after childbirth, 935 mothers with maternal distress and 3,645 controls, matched by midwife, were included. We analysed whether socio-demographic, maternal and neonatal factors predict maternal mental distress by multivariable conditional logistic regression analysis.
RESULTS: Infant crying problems and not living with a partner were the strongest predictors for maternal distress, whereas higher parity was the most protective factor. Significantly elevated risks were also found for older age, lower educational levels, breast/breastfeeding problems, infant weight gain concerns, neonatal pathologies and use of midwifery care during pregnancy. A lower likelihood for maternal distress was seen for non-Swiss nationality, full-time employment before birth, intention to return to work after birth and midwife-led birth.
CONCLUSION: The study informs on predictors of maternal mental distress identified in a home care setting in the early postpartum period. Midwives and other health care professionals should pay particular attention to mothers of excessively crying infants, single mothers and primipara, and assess the need for support of these mothers.

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Year:  2013        PMID: 23986402     DOI: 10.4414/smw.2013.13862

Source DB:  PubMed          Journal:  Swiss Med Wkly        ISSN: 0036-7672            Impact factor:   2.193


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