Evidence map›Paper›PMID 40259648›Full record

ArticleJournal of research in health sciences2025

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

Mahadev Bhise, Sharyu Mhamane, Ranjan Kumar Prusty, Shahina Begum

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Article in Journal of research in health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mahadev BhiseDepartment of Biostatistics, Indian Council of Medical Research, National Institute for Research in Reproductive and Child Health, Mumbai, India.ORCID 0000-0002-9477-3498
Sharyu MhamaneCentre for Cancer Epidemiology (CCE), Tata Memorial Centre (TMC), Navi Mumbai, Maharashtra, India.
Ranjan Kumar PrustyDepartment of Biostatistics, Indian Council of Medical Research, National Institute for Research in Reproductive and Child Health, Mumbai, India.ORCID 0000-0001-7972-6725
Shahina BegumDepartment of Biostatistics, Indian Council of Medical Research, National Institute for Research in Reproductive and Child Health, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAround 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.

methodsUsing 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Abortion, SpontaneousStillbirthAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansIndiaMaternal AgeMiddle AgedMultilevel AnalysisPregnancyPrevalenceRisk FactorsSocioeconomic FactorsAbortionsIndiaMiscarriagesPregnancySpatial analysisStillbirths

Identifiers

PMID40259648
PMCPMC12009486

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.