Loading…

High prevalence of elevated blood lead levels in both rural and urban Iowa newborns: Spatial patterns and area-level covariates

Lead in maternal blood can cross the placenta and result in elevated blood lead levels in newborns, potentially producing negative effects on neurocognitive function, particularly if combined with childhood lead exposure. Little research exists, however, into the burden of elevated blood lead levels...

Full description

Saved in:
Bibliographic Details
Published in:PloS one 2017-05, Vol.12 (5), p.e0177930
Main Authors: Carrel, Margaret, Zahrieh, David, Young, Sean G, Oleson, Jacob, Ryckman, Kelli K, Wels, Brian, Simmons, Donald L, Saftlas, Audrey
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c692t-180fd7c29b6d60c56bd07ecf367fb515c54868bcb53200ace64e9d3997bf1eb43
cites cdi_FETCH-LOGICAL-c692t-180fd7c29b6d60c56bd07ecf367fb515c54868bcb53200ace64e9d3997bf1eb43
container_end_page
container_issue 5
container_start_page e0177930
container_title PloS one
container_volume 12
creator Carrel, Margaret
Zahrieh, David
Young, Sean G
Oleson, Jacob
Ryckman, Kelli K
Wels, Brian
Simmons, Donald L
Saftlas, Audrey
description Lead in maternal blood can cross the placenta and result in elevated blood lead levels in newborns, potentially producing negative effects on neurocognitive function, particularly if combined with childhood lead exposure. Little research exists, however, into the burden of elevated blood lead levels in newborns, or the places and populations in which elevated lead levels are observed in newborns, particularly in rural settings. Using ~2300 dried bloods spots collected within 1-3 days of birth among Iowa newborns, linked with the area of mother's residence at the time of birth, we examine the spatial patterns of elevated (>5 μg/dL) blood lead levels and the ecological-level predictors of elevated blood lead levels. We find that one in five newborns exceed the 5 μg/dL action level set by the US Centers for Disease Control & Prevention (CDC). Bayesian spatial zero inflated regression indicates that elevated blood lead in newborns is associated with areas of increased pre-1940s housing and childbearing-age women with low educational status in both rural and urban settings. No differences in blood lead levels or the proportion of children exceeding 5 μg/dL are observed between urban and rural maternal residence, though a spatial cluster of elevated blood lead is observed in rural counties. These characteristics can guide the recommendation for testing of infants at well-baby appointments in places where risk factors are present, potentially leading to earlier initiation of case management. The findings also suggest that rural populations are at as great of risk of elevated blood lead levels as are urban populations. Analysis of newborn dried blood spots is an important tool for lead poisoning surveillance in newborns and can direct public health efforts towards specific places and populations where lead testing and case management will have the greatest impact.
doi_str_mv 10.1371/journal.pone.0177930
format article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1899376109</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A491823755</galeid><doaj_id>oai_doaj_org_article_89617aed59b843b1b727167b1159e4c6</doaj_id><sourcerecordid>A491823755</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-180fd7c29b6d60c56bd07ecf367fb515c54868bcb53200ace64e9d3997bf1eb43</originalsourceid><addsrcrecordid>eNqNkl-L1DAUxYso7rr6DUQDguDDjEnTJI0PwrKoO7Cw4KqvIUlvZzJ0ktmkndUnv7qZP7tMQUECTXrzu-eW01MULwmeEirI-2UYotfddB08TDERQlL8qDglkpYTXmL6-Oh8UjxLaYkxozXnT4uTsmYlrgk_LX5fuvkCrSNsdAfeAgotgi6_9dAg04XQoA709rGBLiHnkQn9AsUh6g5p36AhGu3RLNxp5OHOhOjTB3Sz1r3LQN56yJUdqSPoyU4H2bDR0eUZ6XnxpNVdgheH_az4_vnTt4vLydX1l9nF-dXEcln2E1LjthG2lIY3HFvGTYMF2JZy0RpGmGVVzWtjDaMlxtoCr0A2VEphWgKmomfF673uugtJHbxLitRSUsEJlpmY7Ykm6KVaR7fS8ZcK2qldIcS50rF3tgNVS06EhoZJU1fUECNKQbgwhDAJleVZ6-Nh2mBW0FjwffZrJDq-8W6h5mGjWEWpqHEWeHMQiOF2gNT_45MP1Dz_POV8G7KYXblk1XklSV1SwVimpn-h8mpg5WxOT-tyfdTwbtSQmR5-9nM9pKRmN1__n73-MWbfHrEL0F2_SKEbehd8GoPVHrQxpBShfXCOYLUN_70baht-dQh_bnt17PpD033a6R9SvwBq</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1899376109</pqid></control><display><type>article</type><title>High prevalence of elevated blood lead levels in both rural and urban Iowa newborns: Spatial patterns and area-level covariates</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Carrel, Margaret ; Zahrieh, David ; Young, Sean G ; Oleson, Jacob ; Ryckman, Kelli K ; Wels, Brian ; Simmons, Donald L ; Saftlas, Audrey</creator><contributor>Meliker, Jaymie</contributor><creatorcontrib>Carrel, Margaret ; Zahrieh, David ; Young, Sean G ; Oleson, Jacob ; Ryckman, Kelli K ; Wels, Brian ; Simmons, Donald L ; Saftlas, Audrey ; Meliker, Jaymie</creatorcontrib><description>Lead in maternal blood can cross the placenta and result in elevated blood lead levels in newborns, potentially producing negative effects on neurocognitive function, particularly if combined with childhood lead exposure. Little research exists, however, into the burden of elevated blood lead levels in newborns, or the places and populations in which elevated lead levels are observed in newborns, particularly in rural settings. Using ~2300 dried bloods spots collected within 1-3 days of birth among Iowa newborns, linked with the area of mother's residence at the time of birth, we examine the spatial patterns of elevated (&gt;5 μg/dL) blood lead levels and the ecological-level predictors of elevated blood lead levels. We find that one in five newborns exceed the 5 μg/dL action level set by the US Centers for Disease Control &amp; Prevention (CDC). Bayesian spatial zero inflated regression indicates that elevated blood lead in newborns is associated with areas of increased pre-1940s housing and childbearing-age women with low educational status in both rural and urban settings. No differences in blood lead levels or the proportion of children exceeding 5 μg/dL are observed between urban and rural maternal residence, though a spatial cluster of elevated blood lead is observed in rural counties. These characteristics can guide the recommendation for testing of infants at well-baby appointments in places where risk factors are present, potentially leading to earlier initiation of case management. The findings also suggest that rural populations are at as great of risk of elevated blood lead levels as are urban populations. Analysis of newborn dried blood spots is an important tool for lead poisoning surveillance in newborns and can direct public health efforts towards specific places and populations where lead testing and case management will have the greatest impact.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0177930</identifier><identifier>PMID: 28520816</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Air pollution ; Alcohol ; Analysis ; Archives &amp; records ; Bayesian analysis ; Biology and Life Sciences ; Blood ; Blood levels ; Children ; Cognition ; Diagnosis ; Disease control ; Earth Sciences ; Economic statistics ; Educational Status ; Environmental health ; Epidemiology ; Female ; Fetuses ; Health aspects ; Health risks ; Housing ; Housing - standards ; Humans ; Infant, Newborn ; Infants ; Iowa ; Lead ; Lead - blood ; Lead content ; Lead poisoning ; Lead Poisoning - blood ; Lead Poisoning - epidemiology ; Male ; Medical laboratories ; Medical screening ; Medicine ; Medicine and Health Sciences ; Mothers ; Neonates ; Newborn babies ; Newborn infants ; Nutrition ; Outdoor air quality ; Pediatrics ; People and places ; Physical Sciences ; Placenta ; Poisoning ; Populations ; Prevalence studies (Epidemiology) ; Public health ; Regression analysis ; Research and Analysis Methods ; Risk analysis ; Risk factors ; Rural areas ; Rural housing ; Rural Population ; Rural populations ; Social Sciences ; Spots ; Studies ; Urban areas ; Urban environments ; Urban Population ; Urban populations</subject><ispartof>PloS one, 2017-05, Vol.12 (5), p.e0177930</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Carrel 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>2017 Carrel et al 2017 Carrel et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-180fd7c29b6d60c56bd07ecf367fb515c54868bcb53200ace64e9d3997bf1eb43</citedby><cites>FETCH-LOGICAL-c692t-180fd7c29b6d60c56bd07ecf367fb515c54868bcb53200ace64e9d3997bf1eb43</cites><orcidid>0000-0003-0430-9235</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1899376109/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1899376109?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,44569,53769,53771,74872</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28520816$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Meliker, Jaymie</contributor><creatorcontrib>Carrel, Margaret</creatorcontrib><creatorcontrib>Zahrieh, David</creatorcontrib><creatorcontrib>Young, Sean G</creatorcontrib><creatorcontrib>Oleson, Jacob</creatorcontrib><creatorcontrib>Ryckman, Kelli K</creatorcontrib><creatorcontrib>Wels, Brian</creatorcontrib><creatorcontrib>Simmons, Donald L</creatorcontrib><creatorcontrib>Saftlas, Audrey</creatorcontrib><title>High prevalence of elevated blood lead levels in both rural and urban Iowa newborns: Spatial patterns and area-level covariates</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Lead in maternal blood can cross the placenta and result in elevated blood lead levels in newborns, potentially producing negative effects on neurocognitive function, particularly if combined with childhood lead exposure. Little research exists, however, into the burden of elevated blood lead levels in newborns, or the places and populations in which elevated lead levels are observed in newborns, particularly in rural settings. Using ~2300 dried bloods spots collected within 1-3 days of birth among Iowa newborns, linked with the area of mother's residence at the time of birth, we examine the spatial patterns of elevated (&gt;5 μg/dL) blood lead levels and the ecological-level predictors of elevated blood lead levels. We find that one in five newborns exceed the 5 μg/dL action level set by the US Centers for Disease Control &amp; Prevention (CDC). Bayesian spatial zero inflated regression indicates that elevated blood lead in newborns is associated with areas of increased pre-1940s housing and childbearing-age women with low educational status in both rural and urban settings. No differences in blood lead levels or the proportion of children exceeding 5 μg/dL are observed between urban and rural maternal residence, though a spatial cluster of elevated blood lead is observed in rural counties. These characteristics can guide the recommendation for testing of infants at well-baby appointments in places where risk factors are present, potentially leading to earlier initiation of case management. The findings also suggest that rural populations are at as great of risk of elevated blood lead levels as are urban populations. Analysis of newborn dried blood spots is an important tool for lead poisoning surveillance in newborns and can direct public health efforts towards specific places and populations where lead testing and case management will have the greatest impact.</description><subject>Adult</subject><subject>Air pollution</subject><subject>Alcohol</subject><subject>Analysis</subject><subject>Archives &amp; records</subject><subject>Bayesian analysis</subject><subject>Biology and Life Sciences</subject><subject>Blood</subject><subject>Blood levels</subject><subject>Children</subject><subject>Cognition</subject><subject>Diagnosis</subject><subject>Disease control</subject><subject>Earth Sciences</subject><subject>Economic statistics</subject><subject>Educational Status</subject><subject>Environmental health</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Fetuses</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Housing</subject><subject>Housing - standards</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Infants</subject><subject>Iowa</subject><subject>Lead</subject><subject>Lead - blood</subject><subject>Lead content</subject><subject>Lead poisoning</subject><subject>Lead Poisoning - blood</subject><subject>Lead Poisoning - epidemiology</subject><subject>Male</subject><subject>Medical laboratories</subject><subject>Medical screening</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mothers</subject><subject>Neonates</subject><subject>Newborn babies</subject><subject>Newborn infants</subject><subject>Nutrition</subject><subject>Outdoor air quality</subject><subject>Pediatrics</subject><subject>People and places</subject><subject>Physical Sciences</subject><subject>Placenta</subject><subject>Poisoning</subject><subject>Populations</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Rural areas</subject><subject>Rural housing</subject><subject>Rural Population</subject><subject>Rural populations</subject><subject>Social Sciences</subject><subject>Spots</subject><subject>Studies</subject><subject>Urban areas</subject><subject>Urban environments</subject><subject>Urban Population</subject><subject>Urban populations</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl-L1DAUxYso7rr6DUQDguDDjEnTJI0PwrKoO7Cw4KqvIUlvZzJ0ktmkndUnv7qZP7tMQUECTXrzu-eW01MULwmeEirI-2UYotfddB08TDERQlL8qDglkpYTXmL6-Oh8UjxLaYkxozXnT4uTsmYlrgk_LX5fuvkCrSNsdAfeAgotgi6_9dAg04XQoA709rGBLiHnkQn9AsUh6g5p36AhGu3RLNxp5OHOhOjTB3Sz1r3LQN56yJUdqSPoyU4H2bDR0eUZ6XnxpNVdgheH_az4_vnTt4vLydX1l9nF-dXEcln2E1LjthG2lIY3HFvGTYMF2JZy0RpGmGVVzWtjDaMlxtoCr0A2VEphWgKmomfF673uugtJHbxLitRSUsEJlpmY7Ykm6KVaR7fS8ZcK2qldIcS50rF3tgNVS06EhoZJU1fUECNKQbgwhDAJleVZ6-Nh2mBW0FjwffZrJDq-8W6h5mGjWEWpqHEWeHMQiOF2gNT_45MP1Dz_POV8G7KYXblk1XklSV1SwVimpn-h8mpg5WxOT-tyfdTwbtSQmR5-9nM9pKRmN1__n73-MWbfHrEL0F2_SKEbehd8GoPVHrQxpBShfXCOYLUN_70baht-dQh_bnt17PpD033a6R9SvwBq</recordid><startdate>20170516</startdate><enddate>20170516</enddate><creator>Carrel, Margaret</creator><creator>Zahrieh, David</creator><creator>Young, Sean G</creator><creator>Oleson, Jacob</creator><creator>Ryckman, Kelli K</creator><creator>Wels, Brian</creator><creator>Simmons, Donald L</creator><creator>Saftlas, Audrey</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0430-9235</orcidid></search><sort><creationdate>20170516</creationdate><title>High prevalence of elevated blood lead levels in both rural and urban Iowa newborns: Spatial patterns and area-level covariates</title><author>Carrel, Margaret ; Zahrieh, David ; Young, Sean G ; Oleson, Jacob ; Ryckman, Kelli K ; Wels, Brian ; Simmons, Donald L ; Saftlas, Audrey</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-180fd7c29b6d60c56bd07ecf367fb515c54868bcb53200ace64e9d3997bf1eb43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Air pollution</topic><topic>Alcohol</topic><topic>Analysis</topic><topic>Archives &amp; records</topic><topic>Bayesian analysis</topic><topic>Biology and Life Sciences</topic><topic>Blood</topic><topic>Blood levels</topic><topic>Children</topic><topic>Cognition</topic><topic>Diagnosis</topic><topic>Disease control</topic><topic>Earth Sciences</topic><topic>Economic statistics</topic><topic>Educational Status</topic><topic>Environmental health</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Fetuses</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Housing</topic><topic>Housing - standards</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Infants</topic><topic>Iowa</topic><topic>Lead</topic><topic>Lead - blood</topic><topic>Lead content</topic><topic>Lead poisoning</topic><topic>Lead Poisoning - blood</topic><topic>Lead Poisoning - epidemiology</topic><topic>Male</topic><topic>Medical laboratories</topic><topic>Medical screening</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Mothers</topic><topic>Neonates</topic><topic>Newborn babies</topic><topic>Newborn infants</topic><topic>Nutrition</topic><topic>Outdoor air quality</topic><topic>Pediatrics</topic><topic>People and places</topic><topic>Physical Sciences</topic><topic>Placenta</topic><topic>Poisoning</topic><topic>Populations</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Research and Analysis Methods</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Rural areas</topic><topic>Rural housing</topic><topic>Rural Population</topic><topic>Rural populations</topic><topic>Social Sciences</topic><topic>Spots</topic><topic>Studies</topic><topic>Urban areas</topic><topic>Urban environments</topic><topic>Urban Population</topic><topic>Urban populations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carrel, Margaret</creatorcontrib><creatorcontrib>Zahrieh, David</creatorcontrib><creatorcontrib>Young, Sean G</creatorcontrib><creatorcontrib>Oleson, Jacob</creatorcontrib><creatorcontrib>Ryckman, Kelli K</creatorcontrib><creatorcontrib>Wels, Brian</creatorcontrib><creatorcontrib>Simmons, Donald L</creatorcontrib><creatorcontrib>Saftlas, Audrey</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science 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 &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</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>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carrel, Margaret</au><au>Zahrieh, David</au><au>Young, Sean G</au><au>Oleson, Jacob</au><au>Ryckman, Kelli K</au><au>Wels, Brian</au><au>Simmons, Donald L</au><au>Saftlas, Audrey</au><au>Meliker, Jaymie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High prevalence of elevated blood lead levels in both rural and urban Iowa newborns: Spatial patterns and area-level covariates</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-05-16</date><risdate>2017</risdate><volume>12</volume><issue>5</issue><spage>e0177930</spage><pages>e0177930-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Lead in maternal blood can cross the placenta and result in elevated blood lead levels in newborns, potentially producing negative effects on neurocognitive function, particularly if combined with childhood lead exposure. Little research exists, however, into the burden of elevated blood lead levels in newborns, or the places and populations in which elevated lead levels are observed in newborns, particularly in rural settings. Using ~2300 dried bloods spots collected within 1-3 days of birth among Iowa newborns, linked with the area of mother's residence at the time of birth, we examine the spatial patterns of elevated (&gt;5 μg/dL) blood lead levels and the ecological-level predictors of elevated blood lead levels. We find that one in five newborns exceed the 5 μg/dL action level set by the US Centers for Disease Control &amp; Prevention (CDC). Bayesian spatial zero inflated regression indicates that elevated blood lead in newborns is associated with areas of increased pre-1940s housing and childbearing-age women with low educational status in both rural and urban settings. No differences in blood lead levels or the proportion of children exceeding 5 μg/dL are observed between urban and rural maternal residence, though a spatial cluster of elevated blood lead is observed in rural counties. These characteristics can guide the recommendation for testing of infants at well-baby appointments in places where risk factors are present, potentially leading to earlier initiation of case management. The findings also suggest that rural populations are at as great of risk of elevated blood lead levels as are urban populations. Analysis of newborn dried blood spots is an important tool for lead poisoning surveillance in newborns and can direct public health efforts towards specific places and populations where lead testing and case management will have the greatest impact.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28520816</pmid><doi>10.1371/journal.pone.0177930</doi><tpages>e0177930</tpages><orcidid>https://orcid.org/0000-0003-0430-9235</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2017-05, Vol.12 (5), p.e0177930
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1899376109
source Publicly Available Content Database; PubMed Central
subjects Adult
Air pollution
Alcohol
Analysis
Archives & records
Bayesian analysis
Biology and Life Sciences
Blood
Blood levels
Children
Cognition
Diagnosis
Disease control
Earth Sciences
Economic statistics
Educational Status
Environmental health
Epidemiology
Female
Fetuses
Health aspects
Health risks
Housing
Housing - standards
Humans
Infant, Newborn
Infants
Iowa
Lead
Lead - blood
Lead content
Lead poisoning
Lead Poisoning - blood
Lead Poisoning - epidemiology
Male
Medical laboratories
Medical screening
Medicine
Medicine and Health Sciences
Mothers
Neonates
Newborn babies
Newborn infants
Nutrition
Outdoor air quality
Pediatrics
People and places
Physical Sciences
Placenta
Poisoning
Populations
Prevalence studies (Epidemiology)
Public health
Regression analysis
Research and Analysis Methods
Risk analysis
Risk factors
Rural areas
Rural housing
Rural Population
Rural populations
Social Sciences
Spots
Studies
Urban areas
Urban environments
Urban Population
Urban populations
title High prevalence of elevated blood lead levels in both rural and urban Iowa newborns: Spatial patterns and area-level covariates
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T17%3A41%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=High%20prevalence%20of%20elevated%20blood%20lead%20levels%20in%20both%20rural%20and%20urban%20Iowa%20newborns:%20Spatial%20patterns%20and%20area-level%20covariates&rft.jtitle=PloS%20one&rft.au=Carrel,%20Margaret&rft.date=2017-05-16&rft.volume=12&rft.issue=5&rft.spage=e0177930&rft.pages=e0177930-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0177930&rft_dat=%3Cgale_plos_%3EA491823755%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-180fd7c29b6d60c56bd07ecf367fb515c54868bcb53200ace64e9d3997bf1eb43%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1899376109&rft_id=info:pmid/28520816&rft_galeid=A491823755&rfr_iscdi=true