Infant Mortality and Maternal Risk Factors in Texas: Highlighting Zip Code Variations in 2 At-Risk Counties, 2011-2015
Stark differences in the infant mortality rate (IMR) exist by geography in Texas. The Healthy Families initiative sought to understand how evidence-informed practices implemented in the community can improve pregnancy-related outcomes in 2 counties in Texas with a high prevalence of maternal chronic...
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| Veröffentlicht in: | Preventing chronic disease 2022-01, Vol.19, p.E02-E02, Article 210266 |
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| container_title | Preventing chronic disease |
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| creator | Salahuddin, Meliha Matthews, Krystin J Elerian, Nagla Lakey, David L Patel, Divya A |
| description | Stark differences in the infant mortality rate (IMR) exist by geography in Texas. The Healthy Families initiative sought to understand how evidence-informed practices implemented in the community can improve pregnancy-related outcomes in 2 counties in Texas with a high prevalence of maternal chronic conditions. The objective of this study was to examine associations between maternal risk factors and infant deaths to inform strategies to improve outcomes.
Two counties with high prevalence of maternal chronic conditions were selected as Healthy Families sites: one with lower prenatal care usage than other counties in the state but an IMR lower than Texas, and the other with a higher IMR among minority racial and ethnic groups compared with other women in the county and Texas overall. Cohort-linked birth and infant death records from 2011 through 2015 provided by the Texas Department of State Health Services were analyzed by using logistic regression to examine associations of maternal sociodemographic and pregnancy risk factors with infant death. The data were mapped at the zip code level. Analyses were limited to births to women aged 15 to 49 years who resided in Texas from 2011 through 2015 (n = 1,942,899 births).
The Texas IMR was 5.4 per 1,000 live births, compared with 4.6 and 7.5 per 1,000 live births for Hidalgo and Smith counties, respectively. Congenital malformations were the leading cause of infant death in both counties for infants born in 2015, which was similar to Texas overall. In both counties, maternal marital status, education, multiple gestation, and cesarean delivery were significantly associated with infant mortality. Wide zip code-level variations in IMR and maternal risk factors were observed in both counties.
Variations in IMR and key maternal risk factors observed at the zip code level helped drive local strategies to maximize outreach of services to disproportionately affected communities. |
| doi_str_mv | 10.5888/pcd19.210266 |
| format | Article |
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Two counties with high prevalence of maternal chronic conditions were selected as Healthy Families sites: one with lower prenatal care usage than other counties in the state but an IMR lower than Texas, and the other with a higher IMR among minority racial and ethnic groups compared with other women in the county and Texas overall. Cohort-linked birth and infant death records from 2011 through 2015 provided by the Texas Department of State Health Services were analyzed by using logistic regression to examine associations of maternal sociodemographic and pregnancy risk factors with infant death. The data were mapped at the zip code level. Analyses were limited to births to women aged 15 to 49 years who resided in Texas from 2011 through 2015 (n = 1,942,899 births).
The Texas IMR was 5.4 per 1,000 live births, compared with 4.6 and 7.5 per 1,000 live births for Hidalgo and Smith counties, respectively. Congenital malformations were the leading cause of infant death in both counties for infants born in 2015, which was similar to Texas overall. In both counties, maternal marital status, education, multiple gestation, and cesarean delivery were significantly associated with infant mortality. Wide zip code-level variations in IMR and maternal risk factors were observed in both counties.
Variations in IMR and key maternal risk factors observed at the zip code level helped drive local strategies to maximize outreach of services to disproportionately affected communities.</description><identifier>ISSN: 1545-1151</identifier><identifier>EISSN: 1545-1151</identifier><identifier>DOI: 10.5888/pcd19.210266</identifier><identifier>PMID: 35025729</identifier><language>eng</language><publisher>United States: Centers for Disease Control and Prevention</publisher><subject>Babies ; Birth certificates ; Births ; Body mass index ; Child ; Eclampsia ; Female ; Gestational diabetes ; Health services ; Hispanic Americans ; Humans ; Hypertension ; Infant ; Infant Mortality ; Medicaid ; Minority & ethnic groups ; Obesity ; Original Research ; Pregnancy ; Pregnancy Outcome ; Prenatal Care ; Risk Factors ; Smoking ; Sociodemographics ; Texas - epidemiology ; Variables ; Womens health</subject><ispartof>Preventing chronic disease, 2022-01, Vol.19, p.E02-E02, Article 210266</ispartof><rights>Published 2022. This article is a U.S. Government work and is in the public domain in the USA.</rights><rights>2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-fa6550e7d723b7ec0ad6963ee1f8ad3b28e54d6a682eaa7f689b589482466a893</citedby><cites>FETCH-LOGICAL-c412t-fa6550e7d723b7ec0ad6963ee1f8ad3b28e54d6a682eaa7f689b589482466a893</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/PMC8794266/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794266/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35025729$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Salahuddin, Meliha</creatorcontrib><creatorcontrib>Matthews, Krystin J</creatorcontrib><creatorcontrib>Elerian, Nagla</creatorcontrib><creatorcontrib>Lakey, David L</creatorcontrib><creatorcontrib>Patel, Divya A</creatorcontrib><title>Infant Mortality and Maternal Risk Factors in Texas: Highlighting Zip Code Variations in 2 At-Risk Counties, 2011-2015</title><title>Preventing chronic disease</title><addtitle>Prev Chronic Dis</addtitle><description>Stark differences in the infant mortality rate (IMR) exist by geography in Texas. The Healthy Families initiative sought to understand how evidence-informed practices implemented in the community can improve pregnancy-related outcomes in 2 counties in Texas with a high prevalence of maternal chronic conditions. The objective of this study was to examine associations between maternal risk factors and infant deaths to inform strategies to improve outcomes.
Two counties with high prevalence of maternal chronic conditions were selected as Healthy Families sites: one with lower prenatal care usage than other counties in the state but an IMR lower than Texas, and the other with a higher IMR among minority racial and ethnic groups compared with other women in the county and Texas overall. Cohort-linked birth and infant death records from 2011 through 2015 provided by the Texas Department of State Health Services were analyzed by using logistic regression to examine associations of maternal sociodemographic and pregnancy risk factors with infant death. The data were mapped at the zip code level. Analyses were limited to births to women aged 15 to 49 years who resided in Texas from 2011 through 2015 (n = 1,942,899 births).
The Texas IMR was 5.4 per 1,000 live births, compared with 4.6 and 7.5 per 1,000 live births for Hidalgo and Smith counties, respectively. Congenital malformations were the leading cause of infant death in both counties for infants born in 2015, which was similar to Texas overall. In both counties, maternal marital status, education, multiple gestation, and cesarean delivery were significantly associated with infant mortality. Wide zip code-level variations in IMR and maternal risk factors were observed in both counties.
Variations in IMR and key maternal risk factors observed at the zip code level helped drive local strategies to maximize outreach of services to disproportionately affected communities.</description><subject>Babies</subject><subject>Birth certificates</subject><subject>Births</subject><subject>Body mass index</subject><subject>Child</subject><subject>Eclampsia</subject><subject>Female</subject><subject>Gestational diabetes</subject><subject>Health services</subject><subject>Hispanic Americans</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Infant</subject><subject>Infant Mortality</subject><subject>Medicaid</subject><subject>Minority & ethnic groups</subject><subject>Obesity</subject><subject>Original Research</subject><subject>Pregnancy</subject><subject>Pregnancy Outcome</subject><subject>Prenatal Care</subject><subject>Risk Factors</subject><subject>Smoking</subject><subject>Sociodemographics</subject><subject>Texas - epidemiology</subject><subject>Variables</subject><subject>Womens health</subject><issn>1545-1151</issn><issn>1545-1151</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNpdkctP3DAQxq2qiFe59VxZ6oUDAXsSP8KhElrxkkCVKtpDL9Zs4iymWXtrOwj-e8LugoCDxyPNbz7NzEfIV84Ohdb6aNG0vD4EzkDKT2Sbi0oUnAv--U2-RXZSumMMFFNyk2yVgoFQUG-T-0vfoc_0OsSMvcuPFH1LrzHb6LGnv1z6R8-wySEm6jy9sQ-YjumFm93248vOz-hft6CT0Fr6B6PD7IJfokBPcrHsn4TBZ2fTAQXGeTEG8YVsdNgnu7f-d8nvs9ObyUVx9fP8cnJyVTQVh1x0KIVgVrUKyqmyDcNW1rK0lnca23IK2oqqlSg1WETVSV1Pha4rDZWUqOtyl_xY6S6G6dy2jfU5Ym8W0c0xPpqAzryveHdrZuHeaFVX40FHgf21QAz_B5uymbvU2L5Hb8OQDEhgTAMHMaLfP6B3YXi-4pqCqlTlSB2sqCaGlKLtXofhzDwbapaGmpWhI_7t7QKv8IuD5RPvN5pS</recordid><startdate>20220113</startdate><enddate>20220113</enddate><creator>Salahuddin, Meliha</creator><creator>Matthews, Krystin J</creator><creator>Elerian, Nagla</creator><creator>Lakey, David L</creator><creator>Patel, Divya A</creator><general>Centers for Disease Control and Prevention</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20220113</creationdate><title>Infant Mortality and Maternal Risk Factors in Texas: Highlighting Zip Code Variations in 2 At-Risk Counties, 2011-2015</title><author>Salahuddin, Meliha ; Matthews, Krystin J ; Elerian, Nagla ; Lakey, David L ; Patel, Divya A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-fa6550e7d723b7ec0ad6963ee1f8ad3b28e54d6a682eaa7f689b589482466a893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Babies</topic><topic>Birth certificates</topic><topic>Births</topic><topic>Body mass index</topic><topic>Child</topic><topic>Eclampsia</topic><topic>Female</topic><topic>Gestational diabetes</topic><topic>Health services</topic><topic>Hispanic Americans</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Infant</topic><topic>Infant Mortality</topic><topic>Medicaid</topic><topic>Minority & ethnic groups</topic><topic>Obesity</topic><topic>Original Research</topic><topic>Pregnancy</topic><topic>Pregnancy Outcome</topic><topic>Prenatal Care</topic><topic>Risk Factors</topic><topic>Smoking</topic><topic>Sociodemographics</topic><topic>Texas - epidemiology</topic><topic>Variables</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salahuddin, Meliha</creatorcontrib><creatorcontrib>Matthews, Krystin J</creatorcontrib><creatorcontrib>Elerian, Nagla</creatorcontrib><creatorcontrib>Lakey, David L</creatorcontrib><creatorcontrib>Patel, Divya A</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>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Preventing chronic disease</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Salahuddin, Meliha</au><au>Matthews, Krystin J</au><au>Elerian, Nagla</au><au>Lakey, David L</au><au>Patel, Divya A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Infant Mortality and Maternal Risk Factors in Texas: Highlighting Zip Code Variations in 2 At-Risk Counties, 2011-2015</atitle><jtitle>Preventing chronic disease</jtitle><addtitle>Prev Chronic Dis</addtitle><date>2022-01-13</date><risdate>2022</risdate><volume>19</volume><spage>E02</spage><epage>E02</epage><pages>E02-E02</pages><artnum>210266</artnum><issn>1545-1151</issn><eissn>1545-1151</eissn><abstract>Stark differences in the infant mortality rate (IMR) exist by geography in Texas. The Healthy Families initiative sought to understand how evidence-informed practices implemented in the community can improve pregnancy-related outcomes in 2 counties in Texas with a high prevalence of maternal chronic conditions. The objective of this study was to examine associations between maternal risk factors and infant deaths to inform strategies to improve outcomes.
Two counties with high prevalence of maternal chronic conditions were selected as Healthy Families sites: one with lower prenatal care usage than other counties in the state but an IMR lower than Texas, and the other with a higher IMR among minority racial and ethnic groups compared with other women in the county and Texas overall. Cohort-linked birth and infant death records from 2011 through 2015 provided by the Texas Department of State Health Services were analyzed by using logistic regression to examine associations of maternal sociodemographic and pregnancy risk factors with infant death. The data were mapped at the zip code level. Analyses were limited to births to women aged 15 to 49 years who resided in Texas from 2011 through 2015 (n = 1,942,899 births).
The Texas IMR was 5.4 per 1,000 live births, compared with 4.6 and 7.5 per 1,000 live births for Hidalgo and Smith counties, respectively. Congenital malformations were the leading cause of infant death in both counties for infants born in 2015, which was similar to Texas overall. In both counties, maternal marital status, education, multiple gestation, and cesarean delivery were significantly associated with infant mortality. Wide zip code-level variations in IMR and maternal risk factors were observed in both counties.
Variations in IMR and key maternal risk factors observed at the zip code level helped drive local strategies to maximize outreach of services to disproportionately affected communities.</abstract><cop>United States</cop><pub>Centers for Disease Control and Prevention</pub><pmid>35025729</pmid><doi>10.5888/pcd19.210266</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Babies Birth certificates Births Body mass index Child Eclampsia Female Gestational diabetes Health services Hispanic Americans Humans Hypertension Infant Infant Mortality Medicaid Minority & ethnic groups Obesity Original Research Pregnancy Pregnancy Outcome Prenatal Care Risk Factors Smoking Sociodemographics Texas - epidemiology Variables Womens health |
| title | Infant Mortality and Maternal Risk Factors in Texas: Highlighting Zip Code Variations in 2 At-Risk Counties, 2011-2015 |
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