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Caesarean delivery and its correlates in Northern Region of Bangladesh: application of logistic regression and cox proportional hazard model

Rahman M 1 , Shariff AA 2 , Shafie A 3 , Saaid R 4 , Tahir RM 5

Affiliations 

  • 1 University of Rajshahi, Rajshahi, Bangladesh. mos_pshd@yahoo.com
  • 2 Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur, Malaysia. asma@um.edu.my
  • 3 Department of Geography, Faculty of Arts and Social Sciences, University of Malaya, Kuala Lumpur, Malaysia. azizs@um.edu.my
  • 4 Department of Obstetrics and Gynaecology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
  • 5 Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur, Malaysia
J Health Popul Nutr, 2015;33:8.
PMID: 26825988 DOI: 10.1186/s41043-015-0020-2

Abstract

Caesarean delivery (C-section) rates have been increasing dramatically in the past decades around the world. This increase has been attributed to multiple factors such as maternal, socio-demographic and institutional factors and is a burning issue of global aspect like in many developed and developing countries. Therefore, this study examines the relationship between mode of delivery and time to event with provider characteristics (i.e., covariates) respectively.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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