Loading…
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 spa...
Saved in:
Published in: | BMC women's health 2021-06, Vol.21 (1), p.1-254, Article 254 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c540t-134e9fcd3be3f8960e20ac5e99b619a6ac85ccb3c9fbe86c9e78b77031451ac53 |
---|---|
cites | cdi_FETCH-LOGICAL-c540t-134e9fcd3be3f8960e20ac5e99b619a6ac85ccb3c9fbe86c9e78b77031451ac53 |
container_end_page | 254 |
container_issue | 1 |
container_start_page | 1 |
container_title | BMC women's health |
container_volume | 21 |
creator | Tigabu, Seblewongel Liyew, Alemneh Mekuriaw Geremew, Bisrat Misganaw |
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. Keywords: Teenage pregnancy, Spatial determinates, Geographic weighted regression, Ethiopia |
doi_str_mv | 10.1186/s12905-021-01400-7 |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_00cd6f992aa4441684d7cf66962448b4</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A672262034</galeid><doaj_id>oai_doaj_org_article_00cd6f992aa4441684d7cf66962448b4</doaj_id><sourcerecordid>A672262034</sourcerecordid><originalsourceid>FETCH-LOGICAL-c540t-134e9fcd3be3f8960e20ac5e99b619a6ac85ccb3c9fbe86c9e78b77031451ac53</originalsourceid><addsrcrecordid>eNptkk2LFDEQhhtR3HX1D3hq8OKl13x_IAjLsurCihc9h3S6uidDd9ImmZX592Z2FnVE6pCi8tZTVPE2zWuMLjFW4l3GRCPeIYI7hBlCnXzSnGMmSSeUZE__ys-aFzlvEcJScfm8OaMMC8kZOW_6L3GA2Yepzast3s7tAAXS4oMtkNs4tgUg2AnaNcEUbHD71of2pmx8XL19304Qp2TXjXd2nvftT_DTpsDQVnWCnH0ML5tno50zvHp8L5rvH2--XX_u7r5-ur2-uuscZ6h0mDLQoxtoD3RUWiAgyDoOWvcCayusU9y5njo99qCE0yBVLyWimHFchfSiuT1yh2i3Zk1-sWlvovXmoRDTZGwq3s1gEHKDGLUm1jJWb6HYIN0ohBaEMdWzyvpwZK27foHBQSjJzifQ05_gN2aK90YRQqlQFfD2EZDijx3kYhafHcyzDRB32RDOONeC68OsN_9It3GXQj1VVXEiJeaC_1FNti7gwxjrXHeAmishCREE0QPr8j-qGgMs3sUAo6_1kwZybHAp5pxg_L0jRubgMnN0makuMw8uM5L-AmFSw3c</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2552771565</pqid></control><display><type>article</type><title>Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Tigabu, Seblewongel ; Liyew, Alemneh Mekuriaw ; Geremew, Bisrat Misganaw</creator><creatorcontrib>Tigabu, Seblewongel ; Liyew, Alemneh Mekuriaw ; Geremew, Bisrat Misganaw</creatorcontrib><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. Keywords: Teenage pregnancy, Spatial determinates, Geographic weighted regression, Ethiopia</description><identifier>ISSN: 1472-6874</identifier><identifier>EISSN: 1472-6874</identifier><identifier>DOI: 10.1186/s12905-021-01400-7</identifier><identifier>PMID: 34167542</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Age ; Births ; Demographic aspects ; Developing countries ; Distribution ; Education ; Ethiopia ; Forecasts and trends ; Geographic weighted regression ; Geography ; Health insurance ; Health surveys ; Households ; LDCs ; Pregnancy ; Regression analysis ; Risk reduction ; School dropouts ; Software ; Spatial analysis ; Spatial determinates ; Spatial distribution ; Statistics ; Teenage pregnancy ; Teenagers ; Variables ; Womens health</subject><ispartof>BMC women's health, 2021-06, Vol.21 (1), p.1-254, Article 254</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-134e9fcd3be3f8960e20ac5e99b619a6ac85ccb3c9fbe86c9e78b77031451ac53</citedby><cites>FETCH-LOGICAL-c540t-134e9fcd3be3f8960e20ac5e99b619a6ac85ccb3c9fbe86c9e78b77031451ac53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223368/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2552771565?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25752,27923,27924,37011,37012,44589,53790,53792</link.rule.ids></links><search><creatorcontrib>Tigabu, Seblewongel</creatorcontrib><creatorcontrib>Liyew, Alemneh Mekuriaw</creatorcontrib><creatorcontrib>Geremew, Bisrat Misganaw</creatorcontrib><title>Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression</title><title>BMC women's health</title><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. Keywords: Teenage pregnancy, Spatial determinates, Geographic weighted regression, Ethiopia</description><subject>Age</subject><subject>Births</subject><subject>Demographic aspects</subject><subject>Developing countries</subject><subject>Distribution</subject><subject>Education</subject><subject>Ethiopia</subject><subject>Forecasts and trends</subject><subject>Geographic weighted regression</subject><subject>Geography</subject><subject>Health insurance</subject><subject>Health surveys</subject><subject>Households</subject><subject>LDCs</subject><subject>Pregnancy</subject><subject>Regression analysis</subject><subject>Risk reduction</subject><subject>School dropouts</subject><subject>Software</subject><subject>Spatial analysis</subject><subject>Spatial determinates</subject><subject>Spatial distribution</subject><subject>Statistics</subject><subject>Teenage pregnancy</subject><subject>Teenagers</subject><subject>Variables</subject><subject>Womens health</subject><issn>1472-6874</issn><issn>1472-6874</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkk2LFDEQhhtR3HX1D3hq8OKl13x_IAjLsurCihc9h3S6uidDd9ImmZX592Z2FnVE6pCi8tZTVPE2zWuMLjFW4l3GRCPeIYI7hBlCnXzSnGMmSSeUZE__ys-aFzlvEcJScfm8OaMMC8kZOW_6L3GA2Yepzast3s7tAAXS4oMtkNs4tgUg2AnaNcEUbHD71of2pmx8XL19304Qp2TXjXd2nvftT_DTpsDQVnWCnH0ML5tno50zvHp8L5rvH2--XX_u7r5-ur2-uuscZ6h0mDLQoxtoD3RUWiAgyDoOWvcCayusU9y5njo99qCE0yBVLyWimHFchfSiuT1yh2i3Zk1-sWlvovXmoRDTZGwq3s1gEHKDGLUm1jJWb6HYIN0ohBaEMdWzyvpwZK27foHBQSjJzifQ05_gN2aK90YRQqlQFfD2EZDijx3kYhafHcyzDRB32RDOONeC68OsN_9It3GXQj1VVXEiJeaC_1FNti7gwxjrXHeAmishCREE0QPr8j-qGgMs3sUAo6_1kwZybHAp5pxg_L0jRubgMnN0makuMw8uM5L-AmFSw3c</recordid><startdate>20210624</startdate><enddate>20210624</enddate><creator>Tigabu, Seblewongel</creator><creator>Liyew, Alemneh Mekuriaw</creator><creator>Geremew, Bisrat Misganaw</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7R6</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>888</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQGEN</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>QXPDG</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210624</creationdate><title>Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression</title><author>Tigabu, Seblewongel ; Liyew, Alemneh Mekuriaw ; Geremew, Bisrat Misganaw</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-134e9fcd3be3f8960e20ac5e99b619a6ac85ccb3c9fbe86c9e78b77031451ac53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Births</topic><topic>Demographic aspects</topic><topic>Developing countries</topic><topic>Distribution</topic><topic>Education</topic><topic>Ethiopia</topic><topic>Forecasts and trends</topic><topic>Geographic weighted regression</topic><topic>Geography</topic><topic>Health insurance</topic><topic>Health surveys</topic><topic>Households</topic><topic>LDCs</topic><topic>Pregnancy</topic><topic>Regression analysis</topic><topic>Risk reduction</topic><topic>School dropouts</topic><topic>Software</topic><topic>Spatial analysis</topic><topic>Spatial determinates</topic><topic>Spatial distribution</topic><topic>Statistics</topic><topic>Teenage pregnancy</topic><topic>Teenagers</topic><topic>Variables</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tigabu, Seblewongel</creatorcontrib><creatorcontrib>Liyew, Alemneh Mekuriaw</creatorcontrib><creatorcontrib>Geremew, Bisrat Misganaw</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest GenderWatch</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest - Health & Medical Complete保健、医学与药学数据库</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>GenderWatch (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest Women's & Gender Studies</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Diversity Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC women's health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tigabu, Seblewongel</au><au>Liyew, Alemneh Mekuriaw</au><au>Geremew, Bisrat Misganaw</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression</atitle><jtitle>BMC women's health</jtitle><date>2021-06-24</date><risdate>2021</risdate><volume>21</volume><issue>1</issue><spage>1</spage><epage>254</epage><pages>1-254</pages><artnum>254</artnum><issn>1472-6874</issn><eissn>1472-6874</eissn><abstract>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. Keywords: Teenage pregnancy, Spatial determinates, Geographic weighted regression, Ethiopia</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>34167542</pmid><doi>10.1186/s12905-021-01400-7</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1472-6874 |
ispartof | BMC women's health, 2021-06, Vol.21 (1), p.1-254, Article 254 |
issn | 1472-6874 1472-6874 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_00cd6f992aa4441684d7cf66962448b4 |
source | Publicly Available Content Database; PubMed Central |
subjects | Age Births Demographic aspects Developing countries Distribution Education Ethiopia Forecasts and trends Geographic weighted regression Geography Health insurance Health surveys Households LDCs Pregnancy Regression analysis Risk reduction School dropouts Software Spatial analysis Spatial determinates Spatial distribution Statistics Teenage pregnancy Teenagers Variables Womens health |
title | Modeling spatial determinates of teenage pregnancy in Ethiopia; geographically weighted regression |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T12%3A28%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modeling%20spatial%20determinates%20of%20teenage%20pregnancy%20in%20Ethiopia;%20geographically%20weighted%20regression&rft.jtitle=BMC%20women's%20health&rft.au=Tigabu,%20Seblewongel&rft.date=2021-06-24&rft.volume=21&rft.issue=1&rft.spage=1&rft.epage=254&rft.pages=1-254&rft.artnum=254&rft.issn=1472-6874&rft.eissn=1472-6874&rft_id=info:doi/10.1186/s12905-021-01400-7&rft_dat=%3Cgale_doaj_%3EA672262034%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c540t-134e9fcd3be3f8960e20ac5e99b619a6ac85ccb3c9fbe86c9e78b77031451ac53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2552771565&rft_id=info:pmid/34167542&rft_galeid=A672262034&rfr_iscdi=true |