Evidence map›Paper›PMID 33711075›Full record

ArticlePloS one2021

Determinants of abortion among youth 15-24 in Ethiopia: A multilevel analysis based on EDHS 2016.

Girma Gilano, Samuel Hailegebreal

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Girma GilanoDepartment of Health Informatics, School of Public Health, Arba Minch University College of Medicine and Health Sciences, Arba Minch, South West Ethiopia.ORCID 0000-0002-5847-1425
Samuel HailegebrealDepartment of Health Informatics, School of Public Health, Arba Minch University College of Medicine and Health Sciences, Arba Minch, South West Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDeterminants of the magnitude of abortion among women of diverse social and economic status, particularly in Africa poorly understood because of the missing information in most countries. In this study, we addressed abortion and its determinants among youth women of 15-24 ages to provide clear direction for policymaking in Ethiopia.

methodsWe examined the 2016 Ethiopian demographic health survey data downloaded from the EDHS website after obtaining permission on abortion among 15-24 age women. We applied bivariate and multilevel binary logistic regression. Community and Individual level abortion predictors passed through a three-level binary logistic regression analysis where we used p-value <0.05 and adjusted odds ratios (AOR) with 95% confidence intervals (CI).

resultThe abortion among the youth population in this study was 2.5%. Factors associated with pregnancy were age group 20-24 2.5(1.6-3.8), youth with one birth 0.65(0.44-0.96), youth with 2-5 births 0.31(0.18-0.55), age ≥18 0.50(0.33-0.76), married 38(17-84), divorced 20(7-55), birth in the last five years 0.65(0.44-0.96), middle wealth youth 1.7(1.0.4-2.8), being in Amhara0.31(0.11-0.85), and 0.30(0.12-0.77).

conclusionLess abortion occurred in economically poor youths. It is a noble finding; however, the access problem might lead to the result. We observed more abortions in age <18years; those have not given birth until the data collection date. It portrays forth clear policy direction for politicians and all other stakeholders to intervene in the problem. The analysis also showed abortion increased with age. It shows that as age increased, youths disclose abortion which is rare at an early age, and again given an essential clue for the next interventions. The fact in this study is both age and marriage affected abortion similarly. It might be because of various culture-related perceptions where it is not appropriate for an unmarried woman to appear with any pregnancy outcome as the reason behind the decreased number of abortions at a younger age. Thus, more attention is required during implementation for unmarried and lower age youth regardless of the magnitude of the abortion.

Indexed as

Abortion, InducedAdolescentEconomic FactorsEthiopiaFemaleHealth SurveysHumansModels, TheoreticalMultilevel AnalysisPregnancyYoung Adult

Identifiers

PMID33711075
PMCPMC7954319

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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.