Influential socio-demographic traits in caesarean delivery diagnosis through statistical analysis

https://doi.org/10.53730/ijhs.v9nS1.15746

Authors

  • Proloy Kumar Mondal Inje University, Gimhae 50834, South Korea
  • Raad Ragib Noor Khulna University, Khulna 9208, Bangladesh
  • Jun-Jiat Tiang Multimedia University, Cyberjaya 63100, Malaysia
  • Uzzal Biswas Khulna University, Khulna 9208, Bangladesh
  • Abdullah-Al Nahid Khulna University, Khulna 9208, Bangladesh

Keywords:

Cesarean section, Statistical analysis, Crosstab analysis, Chi-square test, Gamma Coefficient, Cramér's V

Abstract

Cesarean Section (CS) delivery is another mode of parturition other than the vaginal delivery. In some cases (pregnancy complications and so on), it may be necessary to use CS delivery rather than natural birth delivery. Yet, not all CS deliveries are required. Unwarranted CS delivery may lead both the mother and the baby to some serious health issues. The worldwide rise in CS rates has led to concerns over possible overuse. The chi-square test, crosstab analysis, gamma coefficient analysis, and Cramer’s V were employed to identify the most significant socio-demographic effect on the CS delivery rate. This research suggests that other than residence, four factors household income, previous CS delivery, number of antenatal care visits, and watching TV during pregnancy have a stronger associate with CS rate, but the remaining five, smoking during pregnancy, listening to radio during pregnancy, mother’s education, and terminated pregnancy had no any associate to CS rate. Additionally, these results will enable the authority to understand the causes of the rising trend of CS delivery and to take measures to limit CS delivery. It will also shed light on some of the common myths concerning why CS is performed.

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Published

01-10-2025

How to Cite

Mondal, P. K., Noor, R. R., Tiang, J.-J., Biswas, U., & Nahid, A.-A. (2025). Influential socio-demographic traits in caesarean delivery diagnosis through statistical analysis. International Journal of Health Sciences, 9(S1), 567–588. https://doi.org/10.53730/ijhs.v9nS1.15746

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Section

Peer Review Articles