Magnitude and Correlates of Caesarean Section in Urban and Rural Areas: A Multivariate Study in Vietnam Article Swipe
Myriam de Loenzien
,
Clémence Schantz
,
Bich Ngoc Luu
,
Alexandre Dumont
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1101/554964
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1101/554964
Caesarean section can prevent maternal and neonatal mortality and morbidity. However, it involves risks and high costs which can be a burden, especially in low and middle income countries. The international healthcare community considers the optimal caesarean rate to be between 10% and 15%. The aim of this study is to assess its magnitude and correlates among women of reproductive age in urban and rural areas in Vietnam. We analyzed microdata from the national Multiple Indicator Cluster Survey (MICS) conducted in 2013-2014 using representative sample of households at the national level as well as regarding the urban and the rural areas. A total of 1,378 women who delivered in institutional settings in the two years preceding the survey were included. Frequency and percentage distributions of the variables were performed. Bivariate and multivariate logistic regression analysis were undertaken to identify the factors associated with caesarean section. Odds ratios with 95% confidence interval were used to ascertain the direction and strength of the associations. The overall CS rate among the women who delivered in healthcare facilities in Vietnam is particularly high (29.2%) with regards to WHO standards. After controlling for significant characteristics, living in urban areas more than doubles the likelihood of undergoing a CS (OR = 2.31; 95% CI 1.79 to 2.98). Maternal age at delivery over 35 is a major positive correlate of CS. Beyond this common phenomenon, distinct lines of socioeconomic and demographic cleavage operate in urban versus rural areas. The differences regarding correlates of CS according to the place of residence suggest that specific measures should be taken in each setting to allow women to access childbirth services appropriate to their needs. Further research is needed on this topic.
Related Topics
Concepts
Socioeconomic status
Demography
Odds ratio
Caesarean section
Confidence interval
Microdata (statistics)
Medicine
Logistic regression
Rural area
Multivariate analysis
Bivariate analysis
Geography
Environmental health
Pregnancy
Population
Census
Statistics
Mathematics
Genetics
Sociology
Pathology
Internal medicine
Biology
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/554964
- https://www.biorxiv.org/content/biorxiv/early/2019/02/19/554964.full.pdf
- OA Status
- green
- Cited By
- 7
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2915042300
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2915042300Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/554964Digital Object Identifier
- Title
-
Magnitude and Correlates of Caesarean Section in Urban and Rural Areas: A Multivariate Study in VietnamWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-02-19Full publication date if available
- Authors
-
Myriam de Loenzien, Clémence Schantz, Bich Ngoc Luu, Alexandre DumontList of authors in order
- Landing page
-
https://doi.org/10.1101/554964Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2019/02/19/554964.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.biorxiv.org/content/biorxiv/early/2019/02/19/554964.full.pdfDirect OA link when available
- Concepts
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Socioeconomic status, Demography, Odds ratio, Caesarean section, Confidence interval, Microdata (statistics), Medicine, Logistic regression, Rural area, Multivariate analysis, Bivariate analysis, Geography, Environmental health, Pregnancy, Population, Census, Statistics, Mathematics, Genetics, Sociology, Pathology, Internal medicine, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2023: 1, 2022: 2, 2021: 2, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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47Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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