Application of Binary Logistic Regression Model for Assessing the Caesarean Risk Factors in Bangladesh: A Case Study of Khulna and Gopalganj District

Type Journal Article - American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
Title Application of Binary Logistic Regression Model for Assessing the Caesarean Risk Factors in Bangladesh: A Case Study of Khulna and Gopalganj District
Author(s)
Volume 26
Issue 4
Publication (Day/Month/Year) 2016
Page numbers 1-16
URL http://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/2408
Abstract
The main focus of this study is to investigate the caesarean risk factors in a particular area of Bangladesh. The
caesarean delivery rate is increasing day by day in most developing countries like Bangladesh and number of
caesarean births has almost doubled in the last eight years in Bangladesh largely due to maternal, socioeconomic
and demographic factors. Instead of many disadvantages, caesarean deliveries are most common
among women but it is not clinically justified. For improving the maternal health status, it is essential to
determine the risk factors of caesarean delivery. For this study some hospitals have selected from Khulna and
Gopalganj district. Our population is the total number of pregnant women admitted for delivery in the hospitals
and 600 respondents were taken as sample. After collecting data, information were arranged in tables and
analyzed. For the analysis, chi-square test and fisher’s exact test were performed to identify the significant
association between delivery type (caesarean/non-caesarean) and maternal, socio-demographic and socioeconomic
factor’s respectively. A stepwise binary logistic regression analysis was carried out to identify the
most impact factors on caesarean delivery. We found that 14 risk factors were statistically associated with
delivery type out of 21 risk factors. From this study, it is clear to us that above influential factors may affects the
mother’s health status in Bangladesh as well as Khulna and Gopalganj district.

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