Evidence map›Paper›PMID 31752772›Full record

ArticleBMC pregnancy and childbirth2019

Associated factors and their individual contributions to caesarean delivery among married women in Bangladesh: analysis of Bangladesh demographic and health survey data.

Farhana Hasan, Md Mesbahul Alam, Md Golam Hossain

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Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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32citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Farhana HasanHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Md Mesbahul AlamHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Md Golam HossainHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. hossain95@yahoo.com.ORCID http://orcid.org/0000-0002-3822-5489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaesarean section (CS) delivery has a significant effect on maternal and neonatal health especially in a developing country like Bangladesh. The aim of the study was to determine the risk factors and their individual contribution to CS delivery among Bangladeshi married women in reproductive age.

methodsThe cross sectional secondary data was used in this study. Data was extracted from Bangladesh Demographic and Health Survey (BDHS), 2014 dataset. BDHS-2014 collected data from all over Bangladesh. Stepwise logistic regression analysis and population attributable fractions (PAF) were utilized in this study.

resultsA total number of 4422 married Bangladeshi women having at least one child (age ≤ 5 years) were considered in this study. The prevalence of CS delivery among Bangladeshi women was 23.94%. The stepwise logistic regression model showed that location (division), type of residence, education of respondent and her husband, working status, age at first birth, number of children, wealth index and baby's birth weight were most important predictors of CS delivery among Bangladeshi mothers. PAF demonstrated that overweight or obese women had highest contribution (23.36%) among the risk factors of CS delivery, followed by age at first birth (age >  20 years) (18.97%), highest wealth quintile (17.39%), higher education (15.93%), living in urban environment (14.39%), having lower number of ever born children (1-2 children) (13.58%), living in Dhaka division (12.11%), delivering large size of child at birth (11.13%) and housewife (6.55%).

conclusionsIn the present study, we have identified the important risk factors and their individual contribution to CS delivery in Bangladesh. Consequently, these factors can be considered for reducing the rate of CS delivery in Bangladesh.

Indexed as

AdultAge FactorsBangladeshCesarean SectionChild, PreschoolCross-Sectional StudiesDemographyEducational StatusEmploymentFemaleHumansInfantInfant, NewbornLogistic ModelsObesityPregnancyBangladeshi womenBDHS-2014Caesarean deliveryPAFStep-wise regression

Identifiers

PMID31752772
PMCPMC6873680

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.