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An Analysis of Trend, Pattern, and Determinants of Abortion, Miscarriage, and Stillbirths in Odisha, India

Bibliographic Data

ID18965888
AuthorsPrafulla Kumar Swain (0000-0002-1357-501X, Utkal University, corresponding author), Anmol Jena (Utkal University), Subhadra Priyadarshini (0000-0003-3208-9348, Utkal University)
Year2021
Volume29
Pages223-234
Publication date2021-01-13
Open AccessYes
TypeARTICLE
VenueJournal of Population and Social Studies (JOURNAL)
Journal identifiersISSN: 2465-4418 • E-ISSN: 2465-4418
PublisherInstitute for Population and Social Research (PUBLISHER)
DOI10.25133/jpssv292021.014
OpenAlexW3120965664
LanguageEN
Citations received2
References cited5

The study aimed at examining the prevalence of pregnancy terminationbyAbortion, Miscarriage,and Stillbirths (AMS) and its determinants in the state of Odisha, India. The NFHS-IV data have been used for this analysis. GIS mapping has been used forthe spatial distribution of outcome variables at the district level. Univariate analysis (chi-square)and a multivariable logistic model havebeen used to identifythe potential factors associated with AMS. Out of 8,484 pregnancy cases registered, 969 (11.4%) caseshadmet with pregnancy termination byAMS. Jagatsinghpur, Jajapur, Subarnapur, Kendrapara, Nayagarh,and Puri have been identified as high prevalent districts. The age group of 30-34 yearsismore likely of pregnancy termination thanthe age group 15-19 years (OR=1.254). Women who have completed secondary education have 1.568 times higher oddsof pregnancy termination byAMSthan those whoareilliterate. Pregnancy complicationsshow significantly higher odds (OR=1.091) of pregnancy termination.Among the trio of reasons for pregnancy termination, miscarriage cases are the mostprevalent,followed by abortion and stillbirths. Potential factors like age, education, wealth index, place of delivery, and anemiaare significant for AMS(pvalue

Abortion · Biology · Gynecology · Logistic regression · Miscarriage · Multivariate analysis · Obstetrics · Odds ratio · Pregnancy · Univariate analysis · COVID-19 Impact on Reproduction · Demography · Global Maternal and Child Health · Medicine · Pregnancy and preeclampsia studies · Internal Medicine

  • Revisiting the predisposing, enabling, and need factors of unsafe abortion in India using the Heckman Probit model

    Open Access•Margubur Rahaman, Avijit Roy et al.•Journal of Biosocial Science•2024

  • Spatial evaluation of pregnancy loss among child-bearing women in India

    Open Access•Bhaskar Tiwary, Nilima Nilima et al.•GeoJournal•2021

  • Stillbirths

    Open Access•Joy Elizabeth Lawn, Hannah Blencowe et al.•The Lancet•2016

  • National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000

    Open Access•Hannah Blencowe, Simon Cousen et al.•The Lancet Global Health•2016

  • Global Abortion Policies Database

    Open Access•Antonella Lavelanet, Stephanie Schlitt et al.•BMC International Health and…•2018

  • Abortion Law, Policy and Services in India

    Siddhivinayak Hirve, Siddhivinayak S Hirve•Reproductive Health Matters•2004

  • The Political Economy of Abortion in India

    Ravi Duggal•Reproductive Health Matters•2004

Citations per year0.4
Citation span2021 - 2024 (4)
Highly citedNo

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