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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 5.2

International Journal of Applied Research

Vol. 2, Issue 4, Part G (2016)

Level of post-partum depression among LSCS mothers at government area hospital, Bhadrachalam, Telangana

Author(s)
P. Latha
Abstract
Background: Postpartum depression is a form of clinical depression which affects women after childbirth. Most of the symptoms are mild and short lived. However 10-15% of women develop more significant symptom of depression or anxiety. Postpartum depression is a very real and very serious problem for many mothers. It can happen to a first time mom or a veteran mother. It can occur a few days or a few months after childbirth.
Aim: The overall aim of the study is to assess the level o mother’s depression among LSCS mothers.
Objectives: Assess the level of postpartum depression among LSCS mothers and to find the association between level of postpartum depression and socio demographic variables.
Methods: Descriptive design with simple random sampling technique was adopted. Data was collected from 60 primi LSCS mothers by using Edinburgh Postnatal Depression Scale at Govt Area Hospital, Bhadrachalam, and Telangana.
Results: The study revealed that among 60 LSCS mothers, 11(18.33%) of them had low probability of depression, 33(55%) of them had baby blues, 11(18.33%) of them had high probability of depression, 5(8.33) of them had possibility of depression.
Conclusion: Since, mother plays a vital role in newborn outcome of care and many of them are prone to get postnatal depression, the postnatal mothers should know adequate information and necessary knowledge regarding the same. Thereby, all postnatal mothers especially LSCS mothers can prevent themselves from being affected from complications related to postnatal depression.
Pages: 444-446  |  651 Views  14 Downloads
How to cite this article:
P. Latha. Level of post-partum depression among LSCS mothers at government area hospital, Bhadrachalam, Telangana. International Journal of Applied Research. 2016; 2(4): 444-446.
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