Evidence map›Paper›PMID 39773354›Full record

ArticleBMC public health2025

Prevalence and determinants of pregnancy termination for childbearing women using the modified Poisson regression model: a cross-sectional study of the Tanzania Demographic and Health Survey (TDHS) 2022.

Sizwe Vincent Mbona, Retius Chifurira, Bonginkosi Duncan Ndlovu, Anisha Ananth

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Sizwe Vincent MbonaDepartment of Statistics, Faculty of Applied Sciences, Durban University of Technology, Durban, South Africa. sizwem@dut.ac.za.
Retius ChifuriraSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa.
Bonginkosi Duncan NdlovuDepartment of Statistics, Faculty of Applied Sciences, Durban University of Technology, Durban, South Africa.
Anisha AnanthDepartment of Statistics, Faculty of Applied Sciences, Durban University of Technology, Durban, South Africa.

Funding

Research Training on Harnessing Data Science for Global Health Priorities in AfricaU2RTW012140 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNIGHAUSEN, TILL, FAWZI, WAFAIE W · 2021 to 2025
$1.7M
FIC NIH HHS U2R TW012140
6 · The paper itself

Abstract

backgroundTermination of pregnancy continues to be one of the major public health problems. The prevalence and determinants associated with pregnancy termination among women from low-middle income countries such as Tanzania have previously not been thoroughly investigated. Therefore, this study aims to explore the prevalence and determinants associated with pregnancy termination among Tanzanian women.

methodsData for this study was extracted from the 2022 Tanzania Demographic and Health Survey (TDHS). A total of 15,254 women aged 15-49 years, clustered in selected enumerated areas, participated in the survey. A modified Poisson regression model with sampling weights was used to find the factors that are associated with pregnancy termination.

resultsThe prevalence of pregnancy termination was 14.3% (95% CI: 13.81-14.75%). Our findings reveal that several factors are significantly associated with pregnancy termination. In particular, women's age, level of education, marital status, history of pregnancy losses, wealth status, attempt to delay or avoid getting pregnant outside the ideal birth spacing, and recent internet use, total children ever born, desire for more children, were significantly associated with pregnancy termination. Women who reside in rural areas, those covered by health insurance and those using contraceptives had a significantly lower likelihood of terminating pregnancy compared to their counterparts.

conclusionsThe findings highlighted that the prevalence of terminating pregnancy is alarming in Tanzania, signaling a significant public health challenge. To address the concerning rates of pregnancy termination, the government of Tanzania and other institutions are advised to enhance the accessibility and quality of healthcare services for women, particularly in rural and underserved areas. Bridging socio-economic inequalities and removing geographic barriers to healthcare access will ensure women receive timely and adequate support.

Indexed as

Abortion, InducedHealth SurveysAdolescentAdultCross-Sectional StudiesFemaleHumansMiddle AgedPoisson DistributionPregnancyPrevalenceSociodemographic FactorsSocioeconomic FactorsTanzaniaYoung AdultModified Poisson regressionPregnancy terminationPrevalenceTanzania

Identifiers

PMID39773354
PMCPMC11706135

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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.