Cargando…
Predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of Ethiopia: a multilevel analysis based on EDHS, 2016
Under age (teenage) pregnancy is a pregnancy that occurs under the age of 20 years old. Its magnitude is increasing globally. It is much higher in low-income countries compared to high-income countries. Teenage pregnancy exposed teenagers to various obstetric and perinatal complications. However, it...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842682/ https://www.ncbi.nlm.nih.gov/pubmed/36646737 http://dx.doi.org/10.1038/s41598-023-27805-y |
_version_ | 1784870197177352192 |
---|---|
author | Bitew, Desalegn Anmut Akalu, Yonas Belsti, Yitayeh Diress, Mengistie Gela, Yibeltal Yismaw Belay, Daniel Gashaneh Getahun, Amare Belete Terefe, Bewuketu Getnet, Mihret |
author_facet | Bitew, Desalegn Anmut Akalu, Yonas Belsti, Yitayeh Diress, Mengistie Gela, Yibeltal Yismaw Belay, Daniel Gashaneh Getahun, Amare Belete Terefe, Bewuketu Getnet, Mihret |
author_sort | Bitew, Desalegn Anmut |
collection | PubMed |
description | Under age (teenage) pregnancy is a pregnancy that occurs under the age of 20 years old. Its magnitude is increasing globally. It is much higher in low-income countries compared to high-income countries. Teenage pregnancy exposed teenagers to various obstetric and perinatal complications. However, its predictors are not well investigated in highly prevalent regions of Ethiopia. Therefore, this study assessed individual and community-level predictors of teenage pregnancy using a multi-level logistic regression model. An in-depth secondary data analysis was performed using the fourth Ethiopian Demographic and Health Survey (EDHS) 2016 data set. A weighted sample of 2397 teenagers was included in the final analysis. Multi co linearity and chi-square tests were checked and variables which did not fulfill the assumptions were excluded from the analysis. Four models were fitted. Variables with p value ≤ 0.2 in the bi-variable multilevel logistic regression were included in the multivariable multilevel logistic regression. The adjusted odds ratio (AOR) with a 95% confidence interval (95% CI) was computed. Variables with a p value of less than 0.05 in the multi-variable multilevel logistic regression were declared as statistically significant predictors. A total of 2397 weighted participants aged from 15 to 19 were involved. About 15% of teenagers were pregnant. Age [17 (AOR = 9.41: 95% CI 4.62, 19.13), 18 (AOR = 11.7: 95% CI 5.96, 23.16), 19 (AOR = 24.75: 95% CI 11.82, 51.82)], primary education (AOR = 2.09: 95% CI 1.16, 3.76), being illiterate (AOR = 1.80: 95% CI 1.19, 2.73), religion [being Muslims (AOR: 2.98:95% CI 1.80, 4.94), being Protestants (AOR = 2.02: 95% CI 1.20, 3.41)], contraceptive non use (AOR = 0.18: 95% CI 0.11, 0.31), a high proportion of family planning demand (AOR = 3.52: 95% CI 1.91, 6.49), and a high proportion of marriage (AOR = 4.30: 95% CI 2.25, 8.21) were predictors of teenage pregnancy. Age, educational status, religion, contraceptive non-use, literacy proportion of marriage and proportion of demand for family planning were the most significant predictors of teenage pregnancy. The ministry of education shall focus on universal access to education to improve female education. The government should work in collaboration with religious fathers to address reproductive and sexual issues to decrease early marriage and sexual initiation. Especial attention should be given to teenagers living in a community with a high proportion of marriage. |
format | Online Article Text |
id | pubmed-9842682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98426822023-01-18 Predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of Ethiopia: a multilevel analysis based on EDHS, 2016 Bitew, Desalegn Anmut Akalu, Yonas Belsti, Yitayeh Diress, Mengistie Gela, Yibeltal Yismaw Belay, Daniel Gashaneh Getahun, Amare Belete Terefe, Bewuketu Getnet, Mihret Sci Rep Article Under age (teenage) pregnancy is a pregnancy that occurs under the age of 20 years old. Its magnitude is increasing globally. It is much higher in low-income countries compared to high-income countries. Teenage pregnancy exposed teenagers to various obstetric and perinatal complications. However, its predictors are not well investigated in highly prevalent regions of Ethiopia. Therefore, this study assessed individual and community-level predictors of teenage pregnancy using a multi-level logistic regression model. An in-depth secondary data analysis was performed using the fourth Ethiopian Demographic and Health Survey (EDHS) 2016 data set. A weighted sample of 2397 teenagers was included in the final analysis. Multi co linearity and chi-square tests were checked and variables which did not fulfill the assumptions were excluded from the analysis. Four models were fitted. Variables with p value ≤ 0.2 in the bi-variable multilevel logistic regression were included in the multivariable multilevel logistic regression. The adjusted odds ratio (AOR) with a 95% confidence interval (95% CI) was computed. Variables with a p value of less than 0.05 in the multi-variable multilevel logistic regression were declared as statistically significant predictors. A total of 2397 weighted participants aged from 15 to 19 were involved. About 15% of teenagers were pregnant. Age [17 (AOR = 9.41: 95% CI 4.62, 19.13), 18 (AOR = 11.7: 95% CI 5.96, 23.16), 19 (AOR = 24.75: 95% CI 11.82, 51.82)], primary education (AOR = 2.09: 95% CI 1.16, 3.76), being illiterate (AOR = 1.80: 95% CI 1.19, 2.73), religion [being Muslims (AOR: 2.98:95% CI 1.80, 4.94), being Protestants (AOR = 2.02: 95% CI 1.20, 3.41)], contraceptive non use (AOR = 0.18: 95% CI 0.11, 0.31), a high proportion of family planning demand (AOR = 3.52: 95% CI 1.91, 6.49), and a high proportion of marriage (AOR = 4.30: 95% CI 2.25, 8.21) were predictors of teenage pregnancy. Age, educational status, religion, contraceptive non-use, literacy proportion of marriage and proportion of demand for family planning were the most significant predictors of teenage pregnancy. The ministry of education shall focus on universal access to education to improve female education. The government should work in collaboration with religious fathers to address reproductive and sexual issues to decrease early marriage and sexual initiation. Especial attention should be given to teenagers living in a community with a high proportion of marriage. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9842682/ /pubmed/36646737 http://dx.doi.org/10.1038/s41598-023-27805-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Bitew, Desalegn Anmut Akalu, Yonas Belsti, Yitayeh Diress, Mengistie Gela, Yibeltal Yismaw Belay, Daniel Gashaneh Getahun, Amare Belete Terefe, Bewuketu Getnet, Mihret Predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of Ethiopia: a multilevel analysis based on EDHS, 2016 |
title | Predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of Ethiopia: a multilevel analysis based on EDHS, 2016 |
title_full | Predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of Ethiopia: a multilevel analysis based on EDHS, 2016 |
title_fullStr | Predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of Ethiopia: a multilevel analysis based on EDHS, 2016 |
title_full_unstemmed | Predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of Ethiopia: a multilevel analysis based on EDHS, 2016 |
title_short | Predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of Ethiopia: a multilevel analysis based on EDHS, 2016 |
title_sort | predictors of underage pregnancy among women aged 15–19 in highly prevalent regions of ethiopia: a multilevel analysis based on edhs, 2016 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842682/ https://www.ncbi.nlm.nih.gov/pubmed/36646737 http://dx.doi.org/10.1038/s41598-023-27805-y |
work_keys_str_mv | AT bitewdesalegnanmut predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 AT akaluyonas predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 AT belstiyitayeh predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 AT diressmengistie predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 AT gelayibeltalyismaw predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 AT belaydanielgashaneh predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 AT getahunamarebelete predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 AT terefebewuketu predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 AT getnetmihret predictorsofunderagepregnancyamongwomenaged1519inhighlyprevalentregionsofethiopiaamultilevelanalysisbasedonedhs2016 |