Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: A multi-country analysis of demographic and health surveys
Approximately 14 million unintended pregnancies are recorded annually in sub-Saharan Africa (SSA). We sought to investigate the prevalence and determinants of unintended pregnancies among women in sub-Saharan Africa. The study pooled data from current Demographic and Health Surveys (DHS) conducted f...
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| Veröffentlicht in: | PloS one 2019-08, Vol.14 (8), p.e0220970-e0220970 |
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| creator | Ameyaw, Edward Kwabena Budu, Eugene Sambah, Francis Baatiema, Linus Appiah, Francis Seidu, Abdul-Aziz Ahinkorah, Bright Opoku |
| description | Approximately 14 million unintended pregnancies are recorded annually in sub-Saharan Africa (SSA). We sought to investigate the prevalence and determinants of unintended pregnancies among women in sub-Saharan Africa.
The study pooled data from current Demographic and Health Surveys (DHS) conducted from January 1, 2010 to December 31, 2016 from 29 countries in SSA. Logistic regression analysis was used to examine the factors that influence unintended pregnancies in SSA. Results were presented using odds ratios (OR).
We found overall unintended pregnancy prevalence rate of 29%, ranging from 10.8% in Nigeria to 54.5% in Namibia. As compared to women aged 15-19 years, women of all other age categories had higher odds of unintended pregnancies. Married women were 6 times more probable to report unintended pregnancy as compared to women who had never married (OR = 6.29, CI = 5.65-7.01). The phenomenon had higher odds among rural residents as compared to urban residents (OR = 1.08, CI = 1.01-1.16). Women with primary (OR = 0.74, CI = 0.69-0.80) and secondary (OR = 0.71, CI = 0.65-0.77) levels of education had less chances of unintended pregnancies, compared to those with no education. Again, women in all other wealth categories had less probability of unintended pregnancy, as compared to women with poorest wealth status.
Our study contributes substantially towards the discourse of maternal wellbeing by unveiling the prevalence and determinants of unintended pregnancy across the SSA region. There is the need for SSA countries with high prevalence of unintended pregnancies to consider past and present successful interventions of other countries within the region such as health education, counselling, skills-building, comprehensive sex education and access to contraception. Much of these efforts rest with the governments of SSA countries. |
| doi_str_mv | 10.1371/journal.pone.0220970 |
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The study pooled data from current Demographic and Health Surveys (DHS) conducted from January 1, 2010 to December 31, 2016 from 29 countries in SSA. Logistic regression analysis was used to examine the factors that influence unintended pregnancies in SSA. Results were presented using odds ratios (OR).
We found overall unintended pregnancy prevalence rate of 29%, ranging from 10.8% in Nigeria to 54.5% in Namibia. As compared to women aged 15-19 years, women of all other age categories had higher odds of unintended pregnancies. Married women were 6 times more probable to report unintended pregnancy as compared to women who had never married (OR = 6.29, CI = 5.65-7.01). The phenomenon had higher odds among rural residents as compared to urban residents (OR = 1.08, CI = 1.01-1.16). Women with primary (OR = 0.74, CI = 0.69-0.80) and secondary (OR = 0.71, CI = 0.65-0.77) levels of education had less chances of unintended pregnancies, compared to those with no education. Again, women in all other wealth categories had less probability of unintended pregnancy, as compared to women with poorest wealth status.
Our study contributes substantially towards the discourse of maternal wellbeing by unveiling the prevalence and determinants of unintended pregnancy across the SSA region. There is the need for SSA countries with high prevalence of unintended pregnancies to consider past and present successful interventions of other countries within the region such as health education, counselling, skills-building, comprehensive sex education and access to contraception. Much of these efforts rest with the governments of SSA countries.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0220970</identifier><identifier>PMID: 31398240</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abortion ; Adolescent ; Adult ; Africa South of the Sahara ; Biology and Life Sciences ; Birth control ; Containers ; Contraception ; Demographics ; Education ; Engineering and Technology ; Family planning ; Female ; Health ; Health aspects ; Health counseling ; Health education ; Health Surveys ; Humanities ; Humans ; Internationality ; Logistic Models ; Low income groups ; Married women ; Medical personnel training ; Medical research ; Medicine and Health Sciences ; Methods ; Middle Aged ; People and Places ; Physical Sciences ; Polls & surveys ; Population ; Pregnancy ; Pregnancy, Unplanned - physiology ; Pregnant women ; Prevalence ; Public health ; Regression analysis ; Reproductive health ; Research and Analysis Methods ; Rural populations ; Sex education ; Social Sciences ; Socioeconomics ; Statistical analysis ; Statistics ; Studies ; Unwanted pregnancy ; Urban population ; Women ; Womens health ; Young Adult</subject><ispartof>PloS one, 2019-08, Vol.14 (8), p.e0220970-e0220970</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Ameyaw 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>2019 Ameyaw et al 2019 Ameyaw et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-1fae44773419de2defc829ef1c114f13fab6790e92b5de3b598610f3f61b899d3</citedby><cites>FETCH-LOGICAL-c692t-1fae44773419de2defc829ef1c114f13fab6790e92b5de3b598610f3f61b899d3</cites><orcidid>0000-0001-9734-9054 ; 0000-0002-6617-237X</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/PMC6688809/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688809/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31398240$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ameyaw, Edward Kwabena</creatorcontrib><creatorcontrib>Budu, Eugene</creatorcontrib><creatorcontrib>Sambah, Francis</creatorcontrib><creatorcontrib>Baatiema, Linus</creatorcontrib><creatorcontrib>Appiah, Francis</creatorcontrib><creatorcontrib>Seidu, Abdul-Aziz</creatorcontrib><creatorcontrib>Ahinkorah, Bright Opoku</creatorcontrib><title>Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: A multi-country analysis of demographic and health surveys</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Approximately 14 million unintended pregnancies are recorded annually in sub-Saharan Africa (SSA). We sought to investigate the prevalence and determinants of unintended pregnancies among women in sub-Saharan Africa.
The study pooled data from current Demographic and Health Surveys (DHS) conducted from January 1, 2010 to December 31, 2016 from 29 countries in SSA. Logistic regression analysis was used to examine the factors that influence unintended pregnancies in SSA. Results were presented using odds ratios (OR).
We found overall unintended pregnancy prevalence rate of 29%, ranging from 10.8% in Nigeria to 54.5% in Namibia. As compared to women aged 15-19 years, women of all other age categories had higher odds of unintended pregnancies. Married women were 6 times more probable to report unintended pregnancy as compared to women who had never married (OR = 6.29, CI = 5.65-7.01). The phenomenon had higher odds among rural residents as compared to urban residents (OR = 1.08, CI = 1.01-1.16). Women with primary (OR = 0.74, CI = 0.69-0.80) and secondary (OR = 0.71, CI = 0.65-0.77) levels of education had less chances of unintended pregnancies, compared to those with no education. Again, women in all other wealth categories had less probability of unintended pregnancy, as compared to women with poorest wealth status.
Our study contributes substantially towards the discourse of maternal wellbeing by unveiling the prevalence and determinants of unintended pregnancy across the SSA region. There is the need for SSA countries with high prevalence of unintended pregnancies to consider past and present successful interventions of other countries within the region such as health education, counselling, skills-building, comprehensive sex education and access to contraception. Much of these efforts rest with the governments of SSA countries.</description><subject>Abortion</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Africa South of the Sahara</subject><subject>Biology and Life Sciences</subject><subject>Birth control</subject><subject>Containers</subject><subject>Contraception</subject><subject>Demographics</subject><subject>Education</subject><subject>Engineering and Technology</subject><subject>Family planning</subject><subject>Female</subject><subject>Health</subject><subject>Health aspects</subject><subject>Health counseling</subject><subject>Health education</subject><subject>Health Surveys</subject><subject>Humanities</subject><subject>Humans</subject><subject>Internationality</subject><subject>Logistic Models</subject><subject>Low income groups</subject><subject>Married women</subject><subject>Medical personnel training</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Pregnancy</subject><subject>Pregnancy, Unplanned - physiology</subject><subject>Pregnant women</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Reproductive health</subject><subject>Research and Analysis Methods</subject><subject>Rural populations</subject><subject>Sex education</subject><subject>Social Sciences</subject><subject>Socioeconomics</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Studies</subject><subject>Unwanted pregnancy</subject><subject>Urban population</subject><subject>Women</subject><subject>Womens health</subject><subject>Young 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One</addtitle><date>2019-08-09</date><risdate>2019</risdate><volume>14</volume><issue>8</issue><spage>e0220970</spage><epage>e0220970</epage><pages>e0220970-e0220970</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Approximately 14 million unintended pregnancies are recorded annually in sub-Saharan Africa (SSA). We sought to investigate the prevalence and determinants of unintended pregnancies among women in sub-Saharan Africa.
The study pooled data from current Demographic and Health Surveys (DHS) conducted from January 1, 2010 to December 31, 2016 from 29 countries in SSA. Logistic regression analysis was used to examine the factors that influence unintended pregnancies in SSA. Results were presented using odds ratios (OR).
We found overall unintended pregnancy prevalence rate of 29%, ranging from 10.8% in Nigeria to 54.5% in Namibia. As compared to women aged 15-19 years, women of all other age categories had higher odds of unintended pregnancies. Married women were 6 times more probable to report unintended pregnancy as compared to women who had never married (OR = 6.29, CI = 5.65-7.01). The phenomenon had higher odds among rural residents as compared to urban residents (OR = 1.08, CI = 1.01-1.16). Women with primary (OR = 0.74, CI = 0.69-0.80) and secondary (OR = 0.71, CI = 0.65-0.77) levels of education had less chances of unintended pregnancies, compared to those with no education. Again, women in all other wealth categories had less probability of unintended pregnancy, as compared to women with poorest wealth status.
Our study contributes substantially towards the discourse of maternal wellbeing by unveiling the prevalence and determinants of unintended pregnancy across the SSA region. There is the need for SSA countries with high prevalence of unintended pregnancies to consider past and present successful interventions of other countries within the region such as health education, counselling, skills-building, comprehensive sex education and access to contraception. Much of these efforts rest with the governments of SSA countries.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31398240</pmid><doi>10.1371/journal.pone.0220970</doi><tpages>e0220970</tpages><orcidid>https://orcid.org/0000-0001-9734-9054</orcidid><orcidid>https://orcid.org/0000-0002-6617-237X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Abortion Adolescent Adult Africa South of the Sahara Biology and Life Sciences Birth control Containers Contraception Demographics Education Engineering and Technology Family planning Female Health Health aspects Health counseling Health education Health Surveys Humanities Humans Internationality Logistic Models Low income groups Married women Medical personnel training Medical research Medicine and Health Sciences Methods Middle Aged People and Places Physical Sciences Polls & surveys Population Pregnancy Pregnancy, Unplanned - physiology Pregnant women Prevalence Public health Regression analysis Reproductive health Research and Analysis Methods Rural populations Sex education Social Sciences Socioeconomics Statistical analysis Statistics Studies Unwanted pregnancy Urban population Women Womens health Young Adult |
| title | Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: A multi-country analysis of demographic and health surveys |
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