Cargando…
Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression
BACKGROUND: In developing countries, 20,000 under 18 children give birth every day. In Ethiopia, teenage pregnancy is high with Afar and Somalia regions having the largest share. Even though teenage pregnancy has bad maternal and child health consequences, to date there is limited evidence on its sp...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223368/ https://www.ncbi.nlm.nih.gov/pubmed/34167542 http://dx.doi.org/10.1186/s12905-021-01400-7 |
_version_ | 1783711678122164224 |
---|---|
author | Tigabu, Seblewongel Liyew, Alemneh Mekuriaw Geremew, Bisrat Misganaw |
author_facet | Tigabu, Seblewongel Liyew, Alemneh Mekuriaw Geremew, Bisrat Misganaw |
author_sort | Tigabu, Seblewongel |
collection | PubMed |
description | BACKGROUND: In developing countries, 20,000 under 18 children give birth every day. In Ethiopia, teenage pregnancy is high with Afar and Somalia regions having the largest share. Even though teenage pregnancy has bad maternal and child health consequences, to date there is limited evidence on its spatial distribution and driving factors. Therefore, this study is aimed to assess the spatial distribution and spatial determinates of teenage pregnancy in Ethiopia. METHODS: A secondary data analysis was conducted using 2016 EDHS data. A total weighted sample of 3381 teenagers was included. The spatial clustering of teenage pregnancy was priorly explored by using hotspot analysis and spatial scanning statistics to indicate geographical risk areas of teenage pregnancy. Besides spatial modeling was conducted by applying Ordinary least squares regression and geographically weighted regression to determine factors explaining the geographic variation of teenage pregnancy. RESULT: Based on the findings of exploratory analysis the high-risk areas of teenage pregnancy were observed in the Somali, Afar, Oromia, and Hareri regions. Women with primary education, being in the household with a poorer wealth quintile using none of the contraceptive methods and using traditional contraceptive methods were significant spatial determinates of the spatial variation of teenage pregnancy in Ethiopia. CONCLUSION: geographic areas where a high proportion of women didn’t use any type of contraceptive methods, use traditional contraceptive methods, and from households with poor wealth quintile had increased risk of teenage pregnancy. Whereas, those areas with a higher proportion of women with secondary education had a decreased risk of teenage pregnancy. The detailed maps of hotspots of teenage pregnancy and its predictors had supreme importance to policymakers for the design and implementation of adolescent targeted programs. |
format | Online Article Text |
id | pubmed-8223368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82233682021-06-24 Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression Tigabu, Seblewongel Liyew, Alemneh Mekuriaw Geremew, Bisrat Misganaw BMC Womens Health Research BACKGROUND: In developing countries, 20,000 under 18 children give birth every day. In Ethiopia, teenage pregnancy is high with Afar and Somalia regions having the largest share. Even though teenage pregnancy has bad maternal and child health consequences, to date there is limited evidence on its spatial distribution and driving factors. Therefore, this study is aimed to assess the spatial distribution and spatial determinates of teenage pregnancy in Ethiopia. METHODS: A secondary data analysis was conducted using 2016 EDHS data. A total weighted sample of 3381 teenagers was included. The spatial clustering of teenage pregnancy was priorly explored by using hotspot analysis and spatial scanning statistics to indicate geographical risk areas of teenage pregnancy. Besides spatial modeling was conducted by applying Ordinary least squares regression and geographically weighted regression to determine factors explaining the geographic variation of teenage pregnancy. RESULT: Based on the findings of exploratory analysis the high-risk areas of teenage pregnancy were observed in the Somali, Afar, Oromia, and Hareri regions. Women with primary education, being in the household with a poorer wealth quintile using none of the contraceptive methods and using traditional contraceptive methods were significant spatial determinates of the spatial variation of teenage pregnancy in Ethiopia. CONCLUSION: geographic areas where a high proportion of women didn’t use any type of contraceptive methods, use traditional contraceptive methods, and from households with poor wealth quintile had increased risk of teenage pregnancy. Whereas, those areas with a higher proportion of women with secondary education had a decreased risk of teenage pregnancy. The detailed maps of hotspots of teenage pregnancy and its predictors had supreme importance to policymakers for the design and implementation of adolescent targeted programs. BioMed Central 2021-06-24 /pmc/articles/PMC8223368/ /pubmed/34167542 http://dx.doi.org/10.1186/s12905-021-01400-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tigabu, Seblewongel Liyew, Alemneh Mekuriaw Geremew, Bisrat Misganaw Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression |
title | Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression |
title_full | Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression |
title_fullStr | Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression |
title_full_unstemmed | Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression |
title_short | Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression |
title_sort | modeling spatial determinates of teenage pregnancy in ethiopia; geographically weighted regression |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223368/ https://www.ncbi.nlm.nih.gov/pubmed/34167542 http://dx.doi.org/10.1186/s12905-021-01400-7 |
work_keys_str_mv | AT tigabuseblewongel modelingspatialdeterminatesofteenagepregnancyinethiopiageographicallyweightedregression AT liyewalemnehmekuriaw modelingspatialdeterminatesofteenagepregnancyinethiopiageographicallyweightedregression AT geremewbisratmisganaw modelingspatialdeterminatesofteenagepregnancyinethiopiageographicallyweightedregression |