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TITLE:

A DESCRIPTIVE ANALYSIS OF FACTORS OF DEPRESSION IN PREGNANT WOMEN OF PAKISTAN

AUTHORS:

Dr Iqra Ayaz, Dr Muhammad Usman Hanif, Dr Ghania Yousaf

ABSTRACT:

Introduction: Pregnancy and the complications that comes along with it have been a concerning issue of public health around the globe. Pregnancy and then the following transition to motherhood comprises of major psychological and social changes in a woman, which have been linked to symptoms of anxiety as well as depression. Aims and objectives: The basic aim of the study is to find the factors of depression among pregnant women in Pakistan. Methodology: This cross sectional study was conducted in Bahawal Victoria Hospital, Bahawalpur during March 2018 to November 2018. The data was collected from 100 pregnant women. The data was collected through a questionnaire. This questionnaire consist of two parts, the first section consists of the personal characteristics of the subjects under study including age, education, occupation etc. Another questionnaire is the Beck Depression Inventory, which is standard one and has been used for pregnant women and its validity has also been confirmed. Results: The pregnant women aged between 17-45 years with a mean of 27.07 ± 4.88 years. The average age of marriage was 21.18 ± 4.08. 76.2% of the samples lived in urban areas. The majorities of women (42.7%) had high school degree and were housewives (90.3%). 80.5% of the spouses were self-employed, and most of them (39%) had high school degree. 50.4% of women had a child and 47.7% experienced their first trimester of pregnancy, while 45.9% had their third trimester of pregnancy. 86% of women got pregnant naturally and 59.9% had a natural childbirth history. The frequency of depression in pregnant women showed that 46.1% of women had mild depression and (27.2%) moderate and (7.2%) severe and only 19.5% had no depression. Conclusion: It is concluded that high prevalence of depression was found in this study, and it is imperative paying attention to the diagnosis of mothers at risk of depression by health care providers.

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