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Factor affecting C-section deliveries in Bangladesh: Structural equation modeling approach

Md. Jakaria Habib, Jagannath University
Sutopa Roy, Department of Statistics, Jagannath University
Ahmed Abdus Saleh Saleheen, Jagannath University, Dhaka
Iqramul Haq, Sher-e-bangla Agricultural University
Shatabdi Shamrita Ume, Jagannath University, Dhaka

The purpose of this study was to examine the factors affecting complicated pregnancies that lead to the cesarean section in private clinics. A structural equation modeling approach was used to assess demographic, pregnancy, and institutional level factors that affect cesarean section. This analysis was conducted using nationally representative data named “Bangladesh Demographic and Health Surveys 2017-18” and comprising 2439 women. The study established age (ß=0.02), birth order (ß=-0.12), number of ANC visits (ß=0.05) were directly and significantly influenced the c-section delivery. Secondary education level had a direct effect (ß=0.35, p<0.04) on c-section delivery as compared to the uneducated women. The BMI status has a direct impact on the likelihood of c-section delivery. In terms of residence, women from rural regions were more interested (ß=0.17, p<0.05) in c-section delivery than women from the urban regions. The socio-economic status has an indirect but positive impact on c-section delivery. For example, compared with women from the richest household, women from the poorest, poorer, middle, and rich families had less caesarean delivery. That is, as wealth status increases, women tend to have more cesarean deliveries in Bangladesh.

Keywords: Structural equation modelling

See paper.

  Presented in Session 130. Use and Misuse of Preventive and Curative Treatments: The Role of Socioeconomic Factors