Determinants of short birth interval in Ethiopia: A multilevel analysis based on EDHS 2019, Ethiopia, 2023
According to the World Health Organization and Ethiopian Demographic and Health Survey on birth spacing, there should be at least a two-year gap between conception and the first of two children born in quick succession. In poor nations like Ethiopia, resource issues were complex, making it difficult...
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description | According to the World Health Organization and Ethiopian Demographic and Health Survey on birth spacing, there should be at least a two-year gap between conception and the first of two children born in quick succession. In poor nations like Ethiopia, resource issues were complex, making it difficult to get statistics for the entire country. However, by examining Ethiopian mini demographic and health survey data, we were able to provide data at the national level.
The cross-sectional survey-based study was conducted in several of Ethiopia's administrative cities and nine regions. In the analysis, sampling weight was used to correct the survey's non-proportional sample distribution to strata and areas throughout the survey process and restore representative data. The study's household population was presented and described using descriptive statistics such as weighted frequencies and percentages. The statistically significant factors linked to frequent short birth intervals were found using a multivariable, multilevel logistic regression analysis.
Overall, 4306 weighted multigravida mothers nested within 305 enumeration areas were included in the analysis. The respondents' mean (standard deviation) of the birth interval was 42.027(26.69). Higher-educated women had 12% lower odds of having a shorter pregnancy (AOR = 0.88; 95% CI: 0.35, 0.98) than women without higher education. The odds of a short birth interval were 3.04 times greater among women in the age category of 40-49 years at first marriage (AOR = 3.04; 95% CI: 1.08, 8.46) than among women in the age category of 15-19 years. This indicates that older women were most likely to have short birth intervals.
In the multilevel logistic regression model, maternal age, maternal educational status, the wealth quintile index, use of contraceptives, duration of breastfeeding, and contextual regions were significantly associated with short birth intervals in Ethiopia. |
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The cross-sectional survey-based study was conducted in several of Ethiopia's administrative cities and nine regions. In the analysis, sampling weight was used to correct the survey's non-proportional sample distribution to strata and areas throughout the survey process and restore representative data. The study's household population was presented and described using descriptive statistics such as weighted frequencies and percentages. The statistically significant factors linked to frequent short birth intervals were found using a multivariable, multilevel logistic regression analysis.
Overall, 4306 weighted multigravida mothers nested within 305 enumeration areas were included in the analysis. The respondents' mean (standard deviation) of the birth interval was 42.027(26.69). Higher-educated women had 12% lower odds of having a shorter pregnancy (AOR = 0.88; 95% CI: 0.35, 0.98) than women without higher education. The odds of a short birth interval were 3.04 times greater among women in the age category of 40-49 years at first marriage (AOR = 3.04; 95% CI: 1.08, 8.46) than among women in the age category of 15-19 years. This indicates that older women were most likely to have short birth intervals.
In the multilevel logistic regression model, maternal age, maternal educational status, the wealth quintile index, use of contraceptives, duration of breastfeeding, and contextual regions were significantly associated with short birth intervals in Ethiopia.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0311700</identifier><identifier>PMID: 39383162</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Age ; Babies ; Birth ; Birth control ; Birth Intervals - statistics & numerical data ; Breast feeding ; Breastfeeding & lactation ; Childbirth ; Children & youth ; Childrens health ; Contraceptives ; Cross-Sectional Studies ; Demographics ; Demography ; Education ; Educational Status ; Enumeration ; Ethiopia ; Families & family life ; Family planning ; Fatalities ; Female ; Fertility ; Health aspects ; Health Surveys ; Households ; Humans ; Infant mortality ; Intervals ; Logistic Models ; Medicine and Health Sciences ; Middle Aged ; Mothers ; Multilevel ; Multilevel Analysis ; Obstetrical research ; People and Places ; Polls & surveys ; Population ; Population studies ; Pregnancy ; Regression analysis ; Regression models ; Research and Analysis Methods ; Rural areas ; Social aspects ; Social Sciences ; Socioeconomic Factors ; Statistical analysis ; Surveys ; Variables ; Women ; Womens health ; Young Adult</subject><ispartof>PloS one, 2024-10, Vol.19 (10), p.e0311700</ispartof><rights>Copyright: © 2024 Tiruneh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Tiruneh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Tiruneh et al 2024 Tiruneh et al</rights><rights>2024 Tiruneh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c506t-a4df840a98ce7c234f6ea1ef1b0f6987f77dbc8e7fc8c76e601feb707fb89093</cites><orcidid>0000-0001-6312-4244</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11463748/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11463748/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39383162$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gebrekidan, Kahsu</contributor><creatorcontrib>Tiruneh, Mulu</creatorcontrib><creatorcontrib>Tesfaw, Aragaw</creatorcontrib><creatorcontrib>Mamuye, Melkalem</creatorcontrib><creatorcontrib>Tesfa, Desalegn</creatorcontrib><creatorcontrib>Atikilt, Getaneh</creatorcontrib><creatorcontrib>Gebeyehu, Asaye Alamneh</creatorcontrib><creatorcontrib>Teshager, Wondwosen</creatorcontrib><title>Determinants of short birth interval in Ethiopia: A multilevel analysis based on EDHS 2019, Ethiopia, 2023</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>According to the World Health Organization and Ethiopian Demographic and Health Survey on birth spacing, there should be at least a two-year gap between conception and the first of two children born in quick succession. In poor nations like Ethiopia, resource issues were complex, making it difficult to get statistics for the entire country. However, by examining Ethiopian mini demographic and health survey data, we were able to provide data at the national level.
The cross-sectional survey-based study was conducted in several of Ethiopia's administrative cities and nine regions. In the analysis, sampling weight was used to correct the survey's non-proportional sample distribution to strata and areas throughout the survey process and restore representative data. The study's household population was presented and described using descriptive statistics such as weighted frequencies and percentages. The statistically significant factors linked to frequent short birth intervals were found using a multivariable, multilevel logistic regression analysis.
Overall, 4306 weighted multigravida mothers nested within 305 enumeration areas were included in the analysis. The respondents' mean (standard deviation) of the birth interval was 42.027(26.69). Higher-educated women had 12% lower odds of having a shorter pregnancy (AOR = 0.88; 95% CI: 0.35, 0.98) than women without higher education. The odds of a short birth interval were 3.04 times greater among women in the age category of 40-49 years at first marriage (AOR = 3.04; 95% CI: 1.08, 8.46) than among women in the age category of 15-19 years. This indicates that older women were most likely to have short birth intervals.
In the multilevel logistic regression model, maternal age, maternal educational status, the wealth quintile index, use of contraceptives, duration of breastfeeding, and contextual regions were significantly associated with short birth intervals in Ethiopia.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Babies</subject><subject>Birth</subject><subject>Birth control</subject><subject>Birth Intervals - statistics & numerical data</subject><subject>Breast feeding</subject><subject>Breastfeeding & lactation</subject><subject>Childbirth</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Contraceptives</subject><subject>Cross-Sectional Studies</subject><subject>Demographics</subject><subject>Demography</subject><subject>Education</subject><subject>Educational Status</subject><subject>Enumeration</subject><subject>Ethiopia</subject><subject>Families & family life</subject><subject>Family planning</subject><subject>Fatalities</subject><subject>Female</subject><subject>Fertility</subject><subject>Health aspects</subject><subject>Health Surveys</subject><subject>Households</subject><subject>Humans</subject><subject>Infant mortality</subject><subject>Intervals</subject><subject>Logistic Models</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mothers</subject><subject>Multilevel</subject><subject>Multilevel Analysis</subject><subject>Obstetrical research</subject><subject>People and Places</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Population studies</subject><subject>Pregnancy</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Research and Analysis Methods</subject><subject>Rural areas</subject><subject>Social aspects</subject><subject>Social Sciences</subject><subject>Socioeconomic Factors</subject><subject>Statistical 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One</addtitle><date>2024-10-09</date><risdate>2024</risdate><volume>19</volume><issue>10</issue><spage>e0311700</spage><pages>e0311700-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>According to the World Health Organization and Ethiopian Demographic and Health Survey on birth spacing, there should be at least a two-year gap between conception and the first of two children born in quick succession. In poor nations like Ethiopia, resource issues were complex, making it difficult to get statistics for the entire country. However, by examining Ethiopian mini demographic and health survey data, we were able to provide data at the national level.
The cross-sectional survey-based study was conducted in several of Ethiopia's administrative cities and nine regions. In the analysis, sampling weight was used to correct the survey's non-proportional sample distribution to strata and areas throughout the survey process and restore representative data. The study's household population was presented and described using descriptive statistics such as weighted frequencies and percentages. The statistically significant factors linked to frequent short birth intervals were found using a multivariable, multilevel logistic regression analysis.
Overall, 4306 weighted multigravida mothers nested within 305 enumeration areas were included in the analysis. The respondents' mean (standard deviation) of the birth interval was 42.027(26.69). Higher-educated women had 12% lower odds of having a shorter pregnancy (AOR = 0.88; 95% CI: 0.35, 0.98) than women without higher education. The odds of a short birth interval were 3.04 times greater among women in the age category of 40-49 years at first marriage (AOR = 3.04; 95% CI: 1.08, 8.46) than among women in the age category of 15-19 years. This indicates that older women were most likely to have short birth intervals.
In the multilevel logistic regression model, maternal age, maternal educational status, the wealth quintile index, use of contraceptives, duration of breastfeeding, and contextual regions were significantly associated with short birth intervals in Ethiopia.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39383162</pmid><doi>10.1371/journal.pone.0311700</doi><orcidid>https://orcid.org/0000-0001-6312-4244</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Adolescent Adult Age Babies Birth Birth control Birth Intervals - statistics & numerical data Breast feeding Breastfeeding & lactation Childbirth Children & youth Childrens health Contraceptives Cross-Sectional Studies Demographics Demography Education Educational Status Enumeration Ethiopia Families & family life Family planning Fatalities Female Fertility Health aspects Health Surveys Households Humans Infant mortality Intervals Logistic Models Medicine and Health Sciences Middle Aged Mothers Multilevel Multilevel Analysis Obstetrical research People and Places Polls & surveys Population Population studies Pregnancy Regression analysis Regression models Research and Analysis Methods Rural areas Social aspects Social Sciences Socioeconomic Factors Statistical analysis Surveys Variables Women Womens health Young Adult |
title | Determinants of short birth interval in Ethiopia: A multilevel analysis based on EDHS 2019, Ethiopia, 2023 |
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