Evidence map›Paper›PMID 40533838›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Pooled prevalence of induced abortion and associated factors among reproductive age women in sub-Saharan Africa: a Bayesian multilevel approach.

Setegn Muche Fenta, Haile Mekonnen Fenta, Seyifemickael Amare Yilema, Maru Mekie, Denekew Bitew Belay, Amsalu Worku Mekonin, Ding-Geng Chen

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Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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7 authors.

Setegn Muche FentaDepartment of Statistics, College of Natural and Computational Sciences, Debre Tabor University, Debre Tabor, Ethiopia. setegn14@gmail.com.
Haile Mekonnen FentaCenter for Environmental and Respiratory Health Research, Population Health, University of Oulu, Oulu, Finland.
Seyifemickael Amare YilemaDepartment of Statistics, College of Natural and Computational Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Maru MekieDepartment of Midwifery, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Denekew Bitew BelayCenter for Environmental and Respiratory Health Research, Population Health, University of Oulu, Oulu, Finland.
Amsalu Worku MekoninDepartment of Obstetric and Gynecology, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Ding-Geng ChenDepartment of Statistics, University of Pretoria, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbortion is one of the leading causes of maternal death in developing countries, particularly in sub-Saharan Africa (sSA,). In this region, abortion is responsible for 38,000 maternal deaths, making the area with the highest rate of abortion-related mortality in the world. This study aimed to examine the prevalence and associated factors of induced abortion in 33 countries in the region.

methodWe used data from the most current Demographic and Health Surveys (DHS) conducted in 33 sSA countries between 2012 and 2022. A total 367,881 of women were included in the analysis. The Bayesian multilevel logistic regression model was used to determine the factors associated to induced abortion because of the hierarchical nature of the DHS data.

resultsThe overall prevalence of induced abortion was 16.50% in sSA. The random effects model revealed that about 75% of the variation in the induced abortion was caused by community and individual-level factors. Based on the Bayesian multilevel logistic regression model, women who smoke cigarettes(AOR = 1.044; 95%CI: 1.020, 1.070), 24-month and above birth interval(AOR = 5.747; 95%CI: 5.595, 5.889), rich women(AOR = 1.470, 95%CI: 1.436, 1.510), secondary and above-educated women (AOR = 2.640, 95%CI: 2.567, 2.707), being exposed to the media (AOR = 1.099, 95%CI: 1.083, 1.115), rural women (AOR = 1.025, 95%CI: 1.004, 1.047) and having pregnancy complications (AOR = 1.095, 95%CI: 1.067, 1.124) were associated with higher odds of induced abortion. But, the odds of an induced abortion were lower for women 35-49 years of age(AOR = 0.019, 95% CI: 0.018, 0.019), having 2-3 birth history(AOR = 0.105, 95%CI: 0.102, 0.107), having family size of 4-6 (AOR = 0.747; 95%CI: 0.735, 0.760), using contraception (AOR = 0.747; 95%CI: 0.735, 0.760), being married (AOR = 0.642; 95%CI: 0.628, 0.654), and being a working woman(AOR = 0.673; 95%CI: 0.658, 0.687).

conclusionThe prevalence of induced abortion was high in the sSA countries with a significant country-specific variations. Therefore, public health programs shall focus on sexual and reproductive health education for young women, rural women, unmarried women, and rich women, in order to address this problem. Furthermore, it is crucial to formulate policies and initiatives that consider regional disparities in the prevalence of induced abortion and to actively pursue their implementation.

Indexed as

Bayesian multilevel modelDemographic and Health SurveyInduced abortionSub-Saharan Africa

Identifiers

PMID40533838
PMCPMC12175375

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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.