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Explaining racial disparities in infant health in Brazil
We sought to quantify how socioeconomic, health care, demographic, and geographic effects explain racial disparities in low birth weight (LBW) and preterm birth (PTB) rates in Brazil. We employed a sample of 8949 infants born between 1995 and 2009 in 15 cities and 7 provinces in Brazil. We focused o...
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| Published in: | American journal of public health (1971) 2015-10, Vol.105 Suppl 4 (S4), p.S575-S584 |
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| Main Authors: | , , , |
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| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c399t-22e745bf931c8aee6882626ebae0d65079aa6d9d30f07aa192e7dcb48366deb73 |
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| cites | cdi_FETCH-LOGICAL-c399t-22e745bf931c8aee6882626ebae0d65079aa6d9d30f07aa192e7dcb48366deb73 |
| container_end_page | S584 |
| container_issue | S4 |
| container_start_page | S575 |
| container_title | American journal of public health (1971) |
| container_volume | 105 Suppl 4 |
| creator | Nyarko, Kwame A Lopez-Camelo, Jorge Castilla, Eduardo E Wehby, George L |
| description | We sought to quantify how socioeconomic, health care, demographic, and geographic effects explain racial disparities in low birth weight (LBW) and preterm birth (PTB) rates in Brazil.
We employed a sample of 8949 infants born between 1995 and 2009 in 15 cities and 7 provinces in Brazil. We focused on disparities in LBW ( |
| doi_str_mv | 10.2105/AJPH.2012.301021r |
| format | article |
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We employed a sample of 8949 infants born between 1995 and 2009 in 15 cities and 7 provinces in Brazil. We focused on disparities in LBW (< 2500 g) and PTB (< 37 gestational weeks) prevalence between infants of African ancestry alone or African mixed with other ancestries, and European ancestry alone. We used a decomposition model to quantify the contributions of conceptually relevant factors to these disparities.
The model explained 45% to 94% of LBW and 64% to 94% of PTB disparities between the African ancestry groups and European ancestry. Differences in prenatal care use and geographic location were the most important contributors, followed by socioeconomic differences. The model explained the majority of the disparities for mixed African ancestry and part of the disparity for African ancestry alone.
Public policies to improve children's health should target prenatal care and geographic location differences to reduce health disparities between infants of African and European ancestries in Brazil.</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.2012.301021r</identifier><identifier>PMID: 26313046</identifier><language>eng</language><publisher>United States: American Public Health Association</publisher><subject>African Continental Ancestry Group - statistics & numerical data ; Brazil - epidemiology ; Continental Population Groups - statistics & numerical data ; European Continental Ancestry Group - statistics & numerical data ; Female ; Health Services Accessibility - statistics & numerical data ; Health Status Disparities ; Humans ; Infant, Low Birth Weight ; Infant, Newborn ; Male ; Premature Birth - ethnology ; Prenatal Care - statistics & numerical data ; Prevalence ; Research and Practice ; Socioeconomic Factors</subject><ispartof>American journal of public health (1971), 2015-10, Vol.105 Suppl 4 (S4), p.S575-S584</ispartof><rights>American Public Health Association 2015 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-22e745bf931c8aee6882626ebae0d65079aa6d9d30f07aa192e7dcb48366deb73</citedby><cites>FETCH-LOGICAL-c399t-22e745bf931c8aee6882626ebae0d65079aa6d9d30f07aa192e7dcb48366deb73</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/PMC4561610/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561610/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,724,777,781,882,3981,27905,27906,33593,33967,36042,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26313046$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nyarko, Kwame A</creatorcontrib><creatorcontrib>Lopez-Camelo, Jorge</creatorcontrib><creatorcontrib>Castilla, Eduardo E</creatorcontrib><creatorcontrib>Wehby, George L</creatorcontrib><title>Explaining racial disparities in infant health in Brazil</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>We sought to quantify how socioeconomic, health care, demographic, and geographic effects explain racial disparities in low birth weight (LBW) and preterm birth (PTB) rates in Brazil.
We employed a sample of 8949 infants born between 1995 and 2009 in 15 cities and 7 provinces in Brazil. We focused on disparities in LBW (< 2500 g) and PTB (< 37 gestational weeks) prevalence between infants of African ancestry alone or African mixed with other ancestries, and European ancestry alone. We used a decomposition model to quantify the contributions of conceptually relevant factors to these disparities.
The model explained 45% to 94% of LBW and 64% to 94% of PTB disparities between the African ancestry groups and European ancestry. Differences in prenatal care use and geographic location were the most important contributors, followed by socioeconomic differences. The model explained the majority of the disparities for mixed African ancestry and part of the disparity for African ancestry alone.
Public policies to improve children's health should target prenatal care and geographic location differences to reduce health disparities between infants of African and European ancestries in Brazil.</description><subject>African Continental Ancestry Group - statistics & numerical data</subject><subject>Brazil - epidemiology</subject><subject>Continental Population Groups - statistics & numerical data</subject><subject>European Continental Ancestry Group - statistics & numerical data</subject><subject>Female</subject><subject>Health Services Accessibility - statistics & numerical data</subject><subject>Health Status Disparities</subject><subject>Humans</subject><subject>Infant, Low Birth Weight</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Premature Birth - ethnology</subject><subject>Prenatal Care - statistics & numerical data</subject><subject>Prevalence</subject><subject>Research and Practice</subject><subject>Socioeconomic Factors</subject><issn>0090-0036</issn><issn>1541-0048</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNpVkE1PwzAMhiMEYuPjB3BBO3LpsJM2bS5IYxoMNAkOcI7cNt2CurYkHQJ-Pa02JpAs2bJfv7Yexi4Qxhwhup48Ps_HHJCPBSBwdAdsiFGIAUCYHLIhgIKuFnLATrx_A0BUER6zAZcCBYRyyJLZZ1OSrWy1HDnKLJWj3PqGnG2t8SNbdVFQ1Y5Whsp21TduHX3b8owdFVR6c77Lp-z1bvYynQeLp_uH6WQRZEKpNuDcxGGUFkpglpAxMkm45NKkZCCXEcSKSOYqF1BATISq0-dZGiZCytyksThlN1vfZpOuTZ6ZqnVU6sbZNbkvXZPV_yeVXell_aHDSKJE6Ayudgauft8Y3-q19ZkpS6pMvfEaY0hUD0x2UtxKM1d770yxP4Oge-K6J6574npHvNu5_PvffuMXsfgBaFJ9EA</recordid><startdate>201510</startdate><enddate>201510</enddate><creator>Nyarko, Kwame A</creator><creator>Lopez-Camelo, Jorge</creator><creator>Castilla, Eduardo E</creator><creator>Wehby, George L</creator><general>American Public Health Association</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>201510</creationdate><title>Explaining racial disparities in infant health in Brazil</title><author>Nyarko, Kwame A ; Lopez-Camelo, Jorge ; Castilla, Eduardo E ; Wehby, George L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-22e745bf931c8aee6882626ebae0d65079aa6d9d30f07aa192e7dcb48366deb73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>African Continental Ancestry Group - statistics & numerical data</topic><topic>Brazil - epidemiology</topic><topic>Continental Population Groups - statistics & numerical data</topic><topic>European Continental Ancestry Group - statistics & numerical data</topic><topic>Female</topic><topic>Health Services Accessibility - statistics & numerical data</topic><topic>Health Status Disparities</topic><topic>Humans</topic><topic>Infant, Low Birth Weight</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Premature Birth - ethnology</topic><topic>Prenatal Care - statistics & numerical data</topic><topic>Prevalence</topic><topic>Research and Practice</topic><topic>Socioeconomic Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nyarko, Kwame A</creatorcontrib><creatorcontrib>Lopez-Camelo, Jorge</creatorcontrib><creatorcontrib>Castilla, Eduardo E</creatorcontrib><creatorcontrib>Wehby, George L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of public health (1971)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nyarko, Kwame A</au><au>Lopez-Camelo, Jorge</au><au>Castilla, Eduardo E</au><au>Wehby, George L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Explaining racial disparities in infant health in Brazil</atitle><jtitle>American journal of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>2015-10</date><risdate>2015</risdate><volume>105 Suppl 4</volume><issue>S4</issue><spage>S575</spage><epage>S584</epage><pages>S575-S584</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><abstract>We sought to quantify how socioeconomic, health care, demographic, and geographic effects explain racial disparities in low birth weight (LBW) and preterm birth (PTB) rates in Brazil.
We employed a sample of 8949 infants born between 1995 and 2009 in 15 cities and 7 provinces in Brazil. We focused on disparities in LBW (< 2500 g) and PTB (< 37 gestational weeks) prevalence between infants of African ancestry alone or African mixed with other ancestries, and European ancestry alone. We used a decomposition model to quantify the contributions of conceptually relevant factors to these disparities.
The model explained 45% to 94% of LBW and 64% to 94% of PTB disparities between the African ancestry groups and European ancestry. Differences in prenatal care use and geographic location were the most important contributors, followed by socioeconomic differences. The model explained the majority of the disparities for mixed African ancestry and part of the disparity for African ancestry alone.
Public policies to improve children's health should target prenatal care and geographic location differences to reduce health disparities between infants of African and European ancestries in Brazil.</abstract><cop>United States</cop><pub>American Public Health Association</pub><pmid>26313046</pmid><doi>10.2105/AJPH.2012.301021r</doi><oa>free_for_read</oa></addata></record> |
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| ispartof | American journal of public health (1971), 2015-10, Vol.105 Suppl 4 (S4), p.S575-S584 |
| issn | 0090-0036 1541-0048 |
| language | eng |
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| source | ABI/INFORM global; American Public Health Association; Politics Collection; Social Science Premium Collection (Proquest) (PQ_SDU_P3); SPORTDiscus; PubMed Central; Business Source Ultimate (EBSCOHost) |
| subjects | African Continental Ancestry Group - statistics & numerical data Brazil - epidemiology Continental Population Groups - statistics & numerical data European Continental Ancestry Group - statistics & numerical data Female Health Services Accessibility - statistics & numerical data Health Status Disparities Humans Infant, Low Birth Weight Infant, Newborn Male Premature Birth - ethnology Prenatal Care - statistics & numerical data Prevalence Research and Practice Socioeconomic Factors |
| title | Explaining racial disparities in infant health in Brazil |
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