Understanding the surge in elective caesarean sections: Role of older women's childbirth choices on younger women in India
The global rise in Caesarean sections (CS), including India’s increase from 8.5% in 2005-06 to 21.5% in 2019-21, poses a significant public health challenge. This study investigates the factors driving elective CS decisions, focusing on how older women’s childbirth experiences influence younger women’s choices within the same household, using data from the National Family Health Survey-5. Multivariable logistic regression and propensity score matching (PSM) were applied to see the influence of older women’s Elective CS decisions on their younger peers within the same household. Results show that younger women were more likely to choose elective CS if older women previously had one (29.0% vs. 15.1%, AOR = 1.72). Other significant predictors include mass media exposure (AOR = 1.13), private healthcare (AOR = 2.84), and older maternal age (AOR = 2.54 for ages 35-40 years). Regional differences were evident, with South India showing the highest CS rates among younger women (40.4%), while older women had CS rates. Wealth and education also played a role, with the richest women having higher odds (AOR = 2.00) and secondary education showing the greatest effect (AOR = 1.43). PSM analysis found an eight percent higher likelihood of elective CS among younger women if older women had one (ATT = 0.086; p < 0.001). In conclusion, the study shows that the childbirth experiences of older women strongly affect younger women's decisions to opt for elective CS, highlighting the important role of influence within households in shaping these choices. • This study is crucial for understanding the rising trend of elective Caesarean sections (CS) in India, which has significant public health implications. • The study identifies a strong influence of elder women’s childbirth experiences on younger women’s decisions to opt for elective CS within the same household. • Key factors influencing elective CS decisions include delivery in private healthcare facilities, maternal age, wealth, education, and exposure to mass media. • Significant regional disparities were observed, indicating variations in healthcare practices across different parts of India. • Propensity score matching (PSM) analysis confirms the intra-household influence on younger women’s likelihood of choosing elective C-sections.
Authors
- Anjali Bansal (ORCID: https://orcid.org/0000-0003-0544-6725)
- Rahul Mishra
- Priyanka Dixit (ORCID: https://orcid.org/0000-0003-4927-7716)
- Paul Emmanuel
- Shivalingappa S. Halli
Institutions
- International Institute for Population Sciences (IN)
- University of Manitoba (CA)
- Tata Institute of Social Sciences (IN)
Publication Details
- Journal
- Global Transitions
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.glt.2025.06.007
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00