Cargando…
Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016
INTRODUCTION: Determinants 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 provi...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954319/ https://www.ncbi.nlm.nih.gov/pubmed/33711075 http://dx.doi.org/10.1371/journal.pone.0248228 |
_version_ | 1783664055471308800 |
---|---|
author | Gilano, Girma Hailegebreal, Samuel |
author_facet | Gilano, Girma Hailegebreal, Samuel |
author_sort | Gilano, Girma |
collection | PubMed |
description | INTRODUCTION: Determinants 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. METHODS: We 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). RESULT: The 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). CONCLUSION: Less 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. |
format | Online Article Text |
id | pubmed-7954319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79543192021-03-22 Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016 Gilano, Girma Hailegebreal, Samuel PLoS One Research Article INTRODUCTION: Determinants 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. METHODS: We 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). RESULT: The 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). CONCLUSION: Less 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. Public Library of Science 2021-03-12 /pmc/articles/PMC7954319/ /pubmed/33711075 http://dx.doi.org/10.1371/journal.pone.0248228 Text en © 2021 Gilano, Hailegebreal http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gilano, Girma Hailegebreal, Samuel Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016 |
title | Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016 |
title_full | Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016 |
title_fullStr | Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016 |
title_full_unstemmed | Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016 |
title_short | Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016 |
title_sort | determinants of abortion among youth 15–24 in ethiopia: a multilevel analysis based on edhs 2016 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954319/ https://www.ncbi.nlm.nih.gov/pubmed/33711075 http://dx.doi.org/10.1371/journal.pone.0248228 |
work_keys_str_mv | AT gilanogirma determinantsofabortionamongyouth1524inethiopiaamultilevelanalysisbasedonedhs2016 AT hailegebrealsamuel determinantsofabortionamongyouth1524inethiopiaamultilevelanalysisbasedonedhs2016 |