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Volume 1, Issue 1 J Nurs Res Pract Nursing Care & Breast Congress 2017
December 11-13, 2017
December 11-13, 2017 | Rome, Italy
Joint Event
&
45th WORLD CONGRESS ON NURSING CARE
8TH EUROPEAN BREAST CONGRESS
Postpartum depression - predictors and symptoms among women
Lubica Banovcinova and Kristina Jakubcikova
Comenius University in Bratislava, Slovak Republic
Manifestation of mental disorders, including depression, in postpartum period is an ongoing issue in midwifery practice.
Previous research has identified several risk but also protective factors affecting the onset and progression of postpartum
depression. The aim of our research was 1) to find the occurrence of depressive symptoms in the postpartum women group;
2) to verify the influence of selected factors on the level of PD (Postpartum Depression). Five hundred and ten mothers
in postpartum period, mean age 30.60 years (±5,3; range 19-45y.) were included in the study. The Edinburgh postnatal
depression scale (EPDS) was used to evaluate depressive symptoms; the questionnaire of our own design was used to assess
selected factors potentially influencing level of depressive symptoms. The respondents achieved in the EPDS an average
score of 9.28(SD=±5,60); and prevalence of severe depressive symptoms (EPDS≥13) was 25.29%. The linear regression
model showed that significant predictors of postpartum depression were: lower education (β=-.079; 95% CI=[-1.477; -.007]);
history of depression (β=.287; 95% CI=[.680; 3.005]); dependence on the opinion of others (β=-.097; 95% CI=[.252; 2.010]);
concerns about future (β=.097; 95% CI=[.617; 1.576]); low satisfaction with motherhood (β=-.132; 95% CI=[-2.847; -.680]);
problems with partner (β=-.090; 95% CI=[-1.239; -.042]); problems with breast-feeding (β=.82; 95% CI=[.062; 1.124]);
tearful child (β=.089; 95% CI=[.068; 1.040]); negative emotions toward the baby (β=-.170; 95% CI=[-2.806; -1.029]); and
poor mastering of maternity (β=-.167; 95% CI=[-2.303; -.718]). Significant predictors of postpartum depression can be easily
detected in clinical practice. This evaluation would enable midwives to identify mothers at risk and intervene in a timely
manner.
Biography
Lubica Banovcinova has completed her PhD at the Jessenius Faculty of Medicine CU in Martin. She is currently working as an Assistant at the Department of
Midwifery JFM CU in Martin. In her Scientific and Pedagogical Work, she focuses on the psychological aspects of childbirth, maternity and midwifery practice. She
has been involved in solving several projects in the field of health psychology and midwifery education.
Lubica Banovcinova et al., J Nurs Res Pract 2017, 1:1(Suppl)