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Determinants of trends in neonatal, post-neonatal, infant, child and under-five mortalities in Tanzania from 2004 to 2016
Under-five mortality is still a major health issue in many developing countries like Tanzania. To achieve the Sustainable Development Goal target of ending preventable child deaths in Tanzania, a detailed understanding of the risk factors for under-five deaths is essential to guide targeted interven...
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Published in: | BMC public health 2019-09, Vol.19 (1), p.1243-1243, Article 1243 |
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description | Under-five mortality is still a major health issue in many developing countries like Tanzania. To achieve the Sustainable Development Goal target of ending preventable child deaths in Tanzania, a detailed understanding of the risk factors for under-five deaths is essential to guide targeted interventions. This study aimed to investigate trends and determinants of neonatal, post-neonatal, infant, child and under-five mortalities in Tanzania from 2004 to 2016.
The study used combined data from the 2004-2005, 2010 and 2015-2016 Tanzania Demographic and Health Surveys, with a sample of 25,951 singletons live births and 1585 under-five deaths. We calculated age-specific mortality rates, followed by an assessment of trends and determinants (community, socioeconomic, individual and health service) of neonatal, postneonatal, infant, child and under-five mortalities in Cox regression models. The models adjusted for potential confounders, clustering and sampling weights.
Between 2004 and 2016, we found that neonatal mortality rate remained unchanged, while postneonatal mortality and child mortality rates have halved in Tanzania. Infant mortality and under-five mortality rates have also declined. Mothers who gave births through caesarean section, younger mothers ( |
doi_str_mv | 10.1186/s12889-019-7547-x |
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The study used combined data from the 2004-2005, 2010 and 2015-2016 Tanzania Demographic and Health Surveys, with a sample of 25,951 singletons live births and 1585 under-five deaths. We calculated age-specific mortality rates, followed by an assessment of trends and determinants (community, socioeconomic, individual and health service) of neonatal, postneonatal, infant, child and under-five mortalities in Cox regression models. The models adjusted for potential confounders, clustering and sampling weights.
Between 2004 and 2016, we found that neonatal mortality rate remained unchanged, while postneonatal mortality and child mortality rates have halved in Tanzania. Infant mortality and under-five mortality rates have also declined. Mothers who gave births through caesarean section, younger mothers (< 20 years), mothers who perceived their babies to be small or very small and those with fourth or higher birth rank and a short preceding birth interval (≤2 years) reported higher risk of neonatal, postneonatal and infant mortalities.
Our study suggests that there was increased survival of children under-5 years in Tanzania driven by significant improvements in postneonatal, infant and child survival rates. However, there remains unfinished work in ending preventable child deaths in Tanzania.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-019-7547-x</identifier><identifier>PMID: 31500599</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Age ; Babies ; Birth ; Cesarean section ; Child ; Child mortality ; Child Mortality - trends ; Child, Preschool ; Children & youth ; Childrens health ; Clustering ; Demographics ; Developing countries ; Fatalities ; Female ; Forecasts and trends ; Households ; Humans ; Infant ; Infant mortality ; Infant Mortality - trends ; Infant, Newborn ; Infants ; LDCs ; Low income groups ; Male ; Maternal & child health ; Mortality ; Mortality, Tanzania ; Multiple births ; Neonatal ; Neonates ; Newborn babies ; Newborn infants ; Outdoor air quality ; Pregnancy ; Principal components analysis ; Public health ; Questionnaires ; Regression analysis ; Regression models ; Risk analysis ; Risk Factors ; Socioeconomic factors ; Studies ; Survival ; Sustainable development ; Tanzania - epidemiology ; Trends ; Under-five</subject><ispartof>BMC public health, 2019-09, Vol.19 (1), p.1243-1243, Article 1243</ispartof><rights>COPYRIGHT 2019 BioMed Central Ltd.</rights><rights>2019. 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). 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c560t-ef043117fea5ac7f98a99a3cd5dd657b34f243c4ee4e4f3f98cbffcf8e5b16563</citedby><cites>FETCH-LOGICAL-c560t-ef043117fea5ac7f98a99a3cd5dd657b34f243c4ee4e4f3f98cbffcf8e5b16563</cites><orcidid>0000-0001-5159-2315</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/PMC6734430/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2293659682?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,44569,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31500599$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ogbo, Felix Akpojene</creatorcontrib><creatorcontrib>Ezeh, Osita Kingsley</creatorcontrib><creatorcontrib>Awosemo, Akorede O</creatorcontrib><creatorcontrib>Ifegwu, Ifegwu K</creatorcontrib><creatorcontrib>Tan, Lawrence</creatorcontrib><creatorcontrib>Jessa, Emmanuel</creatorcontrib><creatorcontrib>Charwe, Deborah</creatorcontrib><creatorcontrib>Agho, Kingsley Emwinyore</creatorcontrib><title>Determinants of trends in neonatal, post-neonatal, infant, child and under-five mortalities in Tanzania from 2004 to 2016</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Under-five mortality is still a major health issue in many developing countries like Tanzania. To achieve the Sustainable Development Goal target of ending preventable child deaths in Tanzania, a detailed understanding of the risk factors for under-five deaths is essential to guide targeted interventions. This study aimed to investigate trends and determinants of neonatal, post-neonatal, infant, child and under-five mortalities in Tanzania from 2004 to 2016.
The study used combined data from the 2004-2005, 2010 and 2015-2016 Tanzania Demographic and Health Surveys, with a sample of 25,951 singletons live births and 1585 under-five deaths. We calculated age-specific mortality rates, followed by an assessment of trends and determinants (community, socioeconomic, individual and health service) of neonatal, postneonatal, infant, child and under-five mortalities in Cox regression models. The models adjusted for potential confounders, clustering and sampling weights.
Between 2004 and 2016, we found that neonatal mortality rate remained unchanged, while postneonatal mortality and child mortality rates have halved in Tanzania. Infant mortality and under-five mortality rates have also declined. Mothers who gave births through caesarean section, younger mothers (< 20 years), mothers who perceived their babies to be small or very small and those with fourth or higher birth rank and a short preceding birth interval (≤2 years) reported higher risk of neonatal, postneonatal and infant mortalities.
Our study suggests that there was increased survival of children under-5 years in Tanzania driven by significant improvements in postneonatal, infant and child survival rates. However, there remains unfinished work in ending preventable child deaths in Tanzania.</description><subject>Age</subject><subject>Babies</subject><subject>Birth</subject><subject>Cesarean section</subject><subject>Child</subject><subject>Child mortality</subject><subject>Child Mortality - trends</subject><subject>Child, Preschool</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Clustering</subject><subject>Demographics</subject><subject>Developing countries</subject><subject>Fatalities</subject><subject>Female</subject><subject>Forecasts and trends</subject><subject>Households</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant mortality</subject><subject>Infant Mortality - trends</subject><subject>Infant, Newborn</subject><subject>Infants</subject><subject>LDCs</subject><subject>Low income groups</subject><subject>Male</subject><subject>Maternal & child health</subject><subject>Mortality</subject><subject>Mortality, Tanzania</subject><subject>Multiple births</subject><subject>Neonatal</subject><subject>Neonates</subject><subject>Newborn babies</subject><subject>Newborn infants</subject><subject>Outdoor air quality</subject><subject>Pregnancy</subject><subject>Principal components analysis</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Socioeconomic factors</subject><subject>Studies</subject><subject>Survival</subject><subject>Sustainable development</subject><subject>Tanzania - epidemiology</subject><subject>Trends</subject><subject>Under-five</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUk1v1DAQjRCIlsIP4IIsceHQFH_HviBV5atSJS7lbDmOvfUqsRc7qVp-PbPd0nYRsmR7Zt680cy8pnlL8AkhSn6shCqlW0x02wnetTfPmkPCO9JSLtTzJ_-D5lWta4xJpwR92RwwIjAWWh82t5_97MsUk01zRTmgufg0VBQTSj4nO9vxGG1yndtHM6YA6GPkruI4IJsGtKTBlzbEa4-mXAAU5-jvSC5t-m1TtCiUPCGKMUdzhpfI182LYMfq39y_R83Pr18uz763Fz--nZ-dXrROSDy3PmDOCOmCt8K6LmhltbbMDWIYpOh6xgPlzHHvueeBQdz1IbigvOiJFJIdNec73iHbtdmUONlya7KN5s6Ry8rYMkc3etO5TgrKlPAaispeBzB6DpdUWtEBuD7tuDZLP_nB-TQXO-6R7kdSvDKrfG1kxzhnGAg-3BOU_GvxdTZTrM6Po4XxLtVQWCiGtdEOoO__ga7zUhKMClCaSaGloo-olYUGYDMZ6rotqTmVGFPKuVSAOvkPCs7gp-hy8iGCfy-B7BJcybUWHx56JNhstWd22jOgPbPVnrmBnHdPh_OQ8Vds7A9latMe</recordid><startdate>20190909</startdate><enddate>20190909</enddate><creator>Ogbo, Felix Akpojene</creator><creator>Ezeh, Osita Kingsley</creator><creator>Awosemo, Akorede O</creator><creator>Ifegwu, Ifegwu K</creator><creator>Tan, Lawrence</creator><creator>Jessa, Emmanuel</creator><creator>Charwe, Deborah</creator><creator>Agho, Kingsley Emwinyore</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5159-2315</orcidid></search><sort><creationdate>20190909</creationdate><title>Determinants of trends in neonatal, post-neonatal, infant, child and under-five mortalities in Tanzania from 2004 to 2016</title><author>Ogbo, Felix Akpojene ; Ezeh, Osita Kingsley ; Awosemo, Akorede O ; Ifegwu, Ifegwu K ; Tan, Lawrence ; Jessa, Emmanuel ; Charwe, Deborah ; Agho, Kingsley Emwinyore</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c560t-ef043117fea5ac7f98a99a3cd5dd657b34f243c4ee4e4f3f98cbffcf8e5b16563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Age</topic><topic>Babies</topic><topic>Birth</topic><topic>Cesarean section</topic><topic>Child</topic><topic>Child mortality</topic><topic>Child Mortality - trends</topic><topic>Child, Preschool</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Clustering</topic><topic>Demographics</topic><topic>Developing countries</topic><topic>Fatalities</topic><topic>Female</topic><topic>Forecasts and trends</topic><topic>Households</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant mortality</topic><topic>Infant Mortality - trends</topic><topic>Infant, Newborn</topic><topic>Infants</topic><topic>LDCs</topic><topic>Low income groups</topic><topic>Male</topic><topic>Maternal & child health</topic><topic>Mortality</topic><topic>Mortality, Tanzania</topic><topic>Multiple births</topic><topic>Neonatal</topic><topic>Neonates</topic><topic>Newborn babies</topic><topic>Newborn infants</topic><topic>Outdoor air quality</topic><topic>Pregnancy</topic><topic>Principal components analysis</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Socioeconomic factors</topic><topic>Studies</topic><topic>Survival</topic><topic>Sustainable development</topic><topic>Tanzania - epidemiology</topic><topic>Trends</topic><topic>Under-five</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ogbo, Felix Akpojene</creatorcontrib><creatorcontrib>Ezeh, Osita Kingsley</creatorcontrib><creatorcontrib>Awosemo, Akorede O</creatorcontrib><creatorcontrib>Ifegwu, Ifegwu K</creatorcontrib><creatorcontrib>Tan, Lawrence</creatorcontrib><creatorcontrib>Jessa, Emmanuel</creatorcontrib><creatorcontrib>Charwe, Deborah</creatorcontrib><creatorcontrib>Agho, Kingsley Emwinyore</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</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 Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ogbo, Felix Akpojene</au><au>Ezeh, Osita Kingsley</au><au>Awosemo, Akorede O</au><au>Ifegwu, Ifegwu K</au><au>Tan, Lawrence</au><au>Jessa, Emmanuel</au><au>Charwe, Deborah</au><au>Agho, Kingsley Emwinyore</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of trends in neonatal, post-neonatal, infant, child and under-five mortalities in Tanzania from 2004 to 2016</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2019-09-09</date><risdate>2019</risdate><volume>19</volume><issue>1</issue><spage>1243</spage><epage>1243</epage><pages>1243-1243</pages><artnum>1243</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Under-five mortality is still a major health issue in many developing countries like Tanzania. To achieve the Sustainable Development Goal target of ending preventable child deaths in Tanzania, a detailed understanding of the risk factors for under-five deaths is essential to guide targeted interventions. This study aimed to investigate trends and determinants of neonatal, post-neonatal, infant, child and under-five mortalities in Tanzania from 2004 to 2016.
The study used combined data from the 2004-2005, 2010 and 2015-2016 Tanzania Demographic and Health Surveys, with a sample of 25,951 singletons live births and 1585 under-five deaths. We calculated age-specific mortality rates, followed by an assessment of trends and determinants (community, socioeconomic, individual and health service) of neonatal, postneonatal, infant, child and under-five mortalities in Cox regression models. The models adjusted for potential confounders, clustering and sampling weights.
Between 2004 and 2016, we found that neonatal mortality rate remained unchanged, while postneonatal mortality and child mortality rates have halved in Tanzania. Infant mortality and under-five mortality rates have also declined. Mothers who gave births through caesarean section, younger mothers (< 20 years), mothers who perceived their babies to be small or very small and those with fourth or higher birth rank and a short preceding birth interval (≤2 years) reported higher risk of neonatal, postneonatal and infant mortalities.
Our study suggests that there was increased survival of children under-5 years in Tanzania driven by significant improvements in postneonatal, infant and child survival rates. However, there remains unfinished work in ending preventable child deaths in Tanzania.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>31500599</pmid><doi>10.1186/s12889-019-7547-x</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-5159-2315</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Babies Birth Cesarean section Child Child mortality Child Mortality - trends Child, Preschool Children & youth Childrens health Clustering Demographics Developing countries Fatalities Female Forecasts and trends Households Humans Infant Infant mortality Infant Mortality - trends Infant, Newborn Infants LDCs Low income groups Male Maternal & child health Mortality Mortality, Tanzania Multiple births Neonatal Neonates Newborn babies Newborn infants Outdoor air quality Pregnancy Principal components analysis Public health Questionnaires Regression analysis Regression models Risk analysis Risk Factors Socioeconomic factors Studies Survival Sustainable development Tanzania - epidemiology Trends Under-five |
title | Determinants of trends in neonatal, post-neonatal, infant, child and under-five mortalities in Tanzania from 2004 to 2016 |
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