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J Res Health Sci. 2025;25(2): e00645.
doi: 10.34172/jrhs.2025.180
  Abstract View: 71
  PDF Download: 31

Original Article

Spatial Distribution and Multilevel Analysis of Pregnancy Loss in India: Examining Individual and Contextual Factors

Mahadev Bhise 1 ORCID logo, Sharyu Mhamane 2, Ranjan Kumar Prusty 1,3* ORCID logo, Shahina Begum 1

1 Department of Biostatistics, Indian Council of Medical Research, National Institute for Research in Reproductive and Child Health, Mumbai, India
2 Centre for Cancer Epidemiology (CCE), Tata Memorial Centre (TMC), Navi Mumbai, Maharashtra, India
3 Faculty of Medical Research , Academy of Scientific Innovation and Research (AcSIR), Ghaziabad, Uttar Pradesh, India
*Corresponding Author: Ranjan Kumar Prusty, Email: prustyranjan2006@gmail.com

Abstract

Background: Around 810 women die daily due to adverse pregnancy outcomes (APOs), predominantly in low- and middle-income countries. In India, despite advancements in maternal health initiatives, pregnancy loss (PL) rates remain high. This study analyzed the determinants, prevalence, and spatial distribution of PL in India.

Study Design: This study employed a cross-sectional design.

Methods: Using data from the National Family Health Survey (NFHS-5, 2019-2021), the study analyzed 255,385 pregnancies to assess the prevalence of PL. The analysis includes socio-demographic variables and spatial factors affecting PL rates.

Results: The national PL prevalence is 11.1%, comprising 7.3% miscarriages, 2.9% abortions, and 0.9% stillbirths. Higher PL rates correlated with older maternal age, urban residence, higher wealth index, and tobacco use. The spatial analysis identified 84 districts as hot spots for PL, primarily located in Northern and Eastern India, while 89 cold spots were identified in Central and North-Eastern regions. Multilevel logistic regression revealed that women aged 35-49 years (aOR=3.8, 95% CI: 1.26-1.63) and women who used tobacco (aOR: 1.28, 95% CI: 1.09-1.49) were at a significantly higher risk of PL compared to younger women (<20 years) and non-tobacco users, respectively.

Conclusion: The study highlights the need for further research to elucidate the underlying causes of PLs and recommends strengthening the health system in hot spot districts. This can be achieved through targeted interventions that address regional disparities and socio-economic determinants, ultimately improving maternal health outcomes.



Please cite this article as follows: Bhise M, Mhamane S, Prusty RK, Begum S. Spatial distribution and multilevel analysis of pregnancy loss in India: examining individual and contextual factors. J Res Health Sci. 2025; 25(2):e00645. doi:10.34172/jrhs.2025.180
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Submitted: 04 Nov 2024
Revision: 15 Dec 2024
Accepted: 07 Jan 2025
ePublished: 01 Apr 2025
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