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Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US)
Study objectives: To determine which area based socioeconomic measures can meaningfully be used, at which level of geography, to monitor socioeconomic inequalities in childhood health in the US. Design: Cross sectional analysis of birth certificate and childhood lead poisoning registry data, geocode...
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Published in: | Journal of epidemiology and community health (1979) 2003-03, Vol.57 (3), p.186-199 |
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container_title | Journal of epidemiology and community health (1979) |
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creator | Krieger, N Chen, J T Waterman, P D Soobader, M-J Subramanian, S V Carson, R |
description | Study objectives: To determine which area based socioeconomic measures can meaningfully be used, at which level of geography, to monitor socioeconomic inequalities in childhood health in the US. Design: Cross sectional analysis of birth certificate and childhood lead poisoning registry data, geocoded and linked to diverse area based socioeconomic measures that were generated at three geographical levels: census tract, block group, and ZIP code. Setting: Two US states: Massachusetts (1990 population=6 016 425) and Rhode Island (1990 population=1 003 464). Participants: All births born to mothers ages 15 to 55 years old who were residents of either Massachusetts (1989–1991; n=267 311) or Rhode Island (1987–1993; n=96 138), and all children ages 1 to 5 years residing in Rhode Island who were screened for lead levels between 1994 and 1996 (n=62 514 children, restricted to first test during the study period). Main results: Analyses of both the birth weight and lead data indicated that: (a) block group and tract socioeconomic measures performed similarly within and across both states, while ZIP code level measures tended to detect smaller effects; (b) measures pertaining to economic poverty detected stronger gradients than measures of education, occupation, and wealth; (c) results were similar for categories generated by quintiles and by a priori categorical cut off points; and (d) the area based socioeconomic measures yielded estimates of effect equal to or augmenting those detected, respectively, by individual level educational data for birth outcomes and by the area based housing measure recommended by the US government for monitoring childhood lead poisoning. Conclusions: Census tract or block group area based socioeconomic measures of economic deprivation could be meaningfully used in conjunction with US public health surveillance systems to enable or enhance monitoring of social inequalities in health in the United States. |
doi_str_mv | 10.1136/jech.57.3.186 |
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Design: Cross sectional analysis of birth certificate and childhood lead poisoning registry data, geocoded and linked to diverse area based socioeconomic measures that were generated at three geographical levels: census tract, block group, and ZIP code. Setting: Two US states: Massachusetts (1990 population=6 016 425) and Rhode Island (1990 population=1 003 464). Participants: All births born to mothers ages 15 to 55 years old who were residents of either Massachusetts (1989–1991; n=267 311) or Rhode Island (1987–1993; n=96 138), and all children ages 1 to 5 years residing in Rhode Island who were screened for lead levels between 1994 and 1996 (n=62 514 children, restricted to first test during the study period). Main results: Analyses of both the birth weight and lead data indicated that: (a) block group and tract socioeconomic measures performed similarly within and across both states, while ZIP code level measures tended to detect smaller effects; (b) measures pertaining to economic poverty detected stronger gradients than measures of education, occupation, and wealth; (c) results were similar for categories generated by quintiles and by a priori categorical cut off points; and (d) the area based socioeconomic measures yielded estimates of effect equal to or augmenting those detected, respectively, by individual level educational data for birth outcomes and by the area based housing measure recommended by the US government for monitoring childhood lead poisoning. Conclusions: Census tract or block group area based socioeconomic measures of economic deprivation could be meaningfully used in conjunction with US public health surveillance systems to enable or enhance monitoring of social inequalities in health in the United States.</description><identifier>ISSN: 0143-005X</identifier><identifier>EISSN: 1470-2738</identifier><identifier>DOI: 10.1136/jech.57.3.186</identifier><identifier>PMID: 12594195</identifier><identifier>CODEN: JECHDR</identifier><language>eng</language><publisher>London: BMJ Publishing Group Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Biological and medical sciences ; Birth weight ; Birth weight, Low ; Census ; Censuses ; Child ; Childhood ; Children ; Cross-Sectional Studies ; Economics ; Educational Status ; Employment indices ; Female ; geocoding and geographic information science (GIS) ; Geography ; Health aspects ; Housing ; Humans ; Income ; Infant ; Infant, Low Birth Weight ; Infant, Newborn ; Lead - blood ; Lead poisoning ; Lead Poisoning - blood ; Lead Poisoning - epidemiology ; Low birth weight ; Male ; Massachusetts - epidemiology ; Median family income ; Median income ; Medical sciences ; Middle Aged ; Poisoning ; Postal codes ; Poverty ; Poverty - statistics & numerical data ; Prevention and actions ; Public health ; public health surveillance ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Rhode Island - epidemiology ; Risk Factors ; Social aspects ; Social Class ; Socioeconomic Factors ; socioeconomic inequalities ; Socioeconomics ; Specific populations (family, woman, child, elderly...) ; Statistics ; Studies ; Theory and Methods ; Unemployment ; ZIP codes</subject><ispartof>Journal of epidemiology and community health (1979), 2003-03, Vol.57 (3), p.186-199</ispartof><rights>Copyright 2003 Journal of Epidemiology and Community Health</rights><rights>2003 INIST-CNRS</rights><rights>COPYRIGHT 2003 BMJ Publishing Group Ltd.</rights><rights>Copyright: 2003 Copyright 2003 Journal of Epidemiology and Community Health</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b675t-afc7f206eae1c7dfeabe687bb5b63a2da669001247d7c90ab8070c8b399bd6d53</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jech.bmj.com/content/57/3/186.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttps://jech.bmj.com/content/57/3/186.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>112,113,230,314,727,780,784,885,3193,27923,27924,53790,53792,58237,58470,77465,77466</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14530987$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12594195$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Krieger, N</creatorcontrib><creatorcontrib>Chen, J T</creatorcontrib><creatorcontrib>Waterman, P D</creatorcontrib><creatorcontrib>Soobader, M-J</creatorcontrib><creatorcontrib>Subramanian, S V</creatorcontrib><creatorcontrib>Carson, R</creatorcontrib><title>Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US)</title><title>Journal of epidemiology and community health (1979)</title><addtitle>J Epidemiol Community Health</addtitle><description>Study objectives: To determine which area based socioeconomic measures can meaningfully be used, at which level of geography, to monitor socioeconomic inequalities in childhood health in the US. Design: Cross sectional analysis of birth certificate and childhood lead poisoning registry data, geocoded and linked to diverse area based socioeconomic measures that were generated at three geographical levels: census tract, block group, and ZIP code. Setting: Two US states: Massachusetts (1990 population=6 016 425) and Rhode Island (1990 population=1 003 464). Participants: All births born to mothers ages 15 to 55 years old who were residents of either Massachusetts (1989–1991; n=267 311) or Rhode Island (1987–1993; n=96 138), and all children ages 1 to 5 years residing in Rhode Island who were screened for lead levels between 1994 and 1996 (n=62 514 children, restricted to first test during the study period). Main results: Analyses of both the birth weight and lead data indicated that: (a) block group and tract socioeconomic measures performed similarly within and across both states, while ZIP code level measures tended to detect smaller effects; (b) measures pertaining to economic poverty detected stronger gradients than measures of education, occupation, and wealth; (c) results were similar for categories generated by quintiles and by a priori categorical cut off points; and (d) the area based socioeconomic measures yielded estimates of effect equal to or augmenting those detected, respectively, by individual level educational data for birth outcomes and by the area based housing measure recommended by the US government for monitoring childhood lead poisoning. Conclusions: Census tract or block group area based socioeconomic measures of economic deprivation could be meaningfully used in conjunction with US public health surveillance systems to enable or enhance monitoring of social inequalities in health in the United States.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Birth weight</subject><subject>Birth weight, Low</subject><subject>Census</subject><subject>Censuses</subject><subject>Child</subject><subject>Childhood</subject><subject>Children</subject><subject>Cross-Sectional Studies</subject><subject>Economics</subject><subject>Educational Status</subject><subject>Employment indices</subject><subject>Female</subject><subject>geocoding and geographic information science (GIS)</subject><subject>Geography</subject><subject>Health aspects</subject><subject>Housing</subject><subject>Humans</subject><subject>Income</subject><subject>Infant</subject><subject>Infant, Low Birth Weight</subject><subject>Infant, Newborn</subject><subject>Lead - blood</subject><subject>Lead poisoning</subject><subject>Lead Poisoning - blood</subject><subject>Lead Poisoning - epidemiology</subject><subject>Low birth weight</subject><subject>Male</subject><subject>Massachusetts - epidemiology</subject><subject>Median family income</subject><subject>Median income</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Poisoning</subject><subject>Postal codes</subject><subject>Poverty</subject><subject>Poverty - statistics & numerical data</subject><subject>Prevention and actions</subject><subject>Public health</subject><subject>public health surveillance</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Rhode Island - epidemiology</subject><subject>Risk Factors</subject><subject>Social aspects</subject><subject>Social Class</subject><subject>Socioeconomic Factors</subject><subject>socioeconomic inequalities</subject><subject>Socioeconomics</subject><subject>Specific populations (family, woman, child, elderly...)</subject><subject>Statistics</subject><subject>Studies</subject><subject>Theory and Methods</subject><subject>Unemployment</subject><subject>ZIP codes</subject><issn>0143-005X</issn><issn>1470-2738</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNqFkl9rFDEUxQdRbK0--qgERKjgrsnMJpn4IJStbdVSK22lbyF_7uxknU22yazVb-VHNOsuuwqi5CEh95dz7yGnKB4TPCSkYq-mYNoh5cNqSGp2p9glI44HJa_qu8UuJqNqgDG93ikepDTF-chLcb_YISUVIyLobvFj3IaQnJ8gFUEhrRJYlIJxAUzwYeYMmoFKiwgJ9QHNgnd9iL8I1SHn4WahOte7XHYedeEWaRf7Ft2Cm7Q9Ut4i07rO5i4WdaAsmgeXsoqfvEaXLaDzhe5ykxNQXX526NJcxZXeMQQT7HK08xiyzR7tX128eFjca1SX4NF63yuujt5ejk8Gpx-P340PTgeacdoPVGN4U2IGCojhtgGlgdVca6pZpUqrGBMYk3LELTcCK11jjk2tKyG0ZZZWe8Wble58oWdgDfg-qk7Oo5up-F0G5eSfFe9aOQlfJeFVOcJlFni2FojhZgGpl9OwiD7PnBEuSkwqwTL1ckVNVAfS-SZkMTMBD1kzeGhcvj4QNcOMY57xwV_wvCzkr_oHb2JIKUKzMUCwXOZHLvMjKZeVzPnJ_NPfXW_pdWAy8HwNqGRU10TljUtbbkQrLOpl4ycrbppyXjb1klImBBXbwVzq4dumruIXyXjFqTz7PJbXn87eX3wQh_Io8_srXs-m__HwE1mq-Ng</recordid><startdate>20030301</startdate><enddate>20030301</enddate><creator>Krieger, N</creator><creator>Chen, J T</creator><creator>Waterman, P D</creator><creator>Soobader, M-J</creator><creator>Subramanian, S V</creator><creator>Carson, R</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group</general><general>BMJ</general><general>BMJ Publishing Group LTD</general><general>BMJ Group</general><scope>BSCLL</scope><scope>IQODW</scope><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>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>5PM</scope></search><sort><creationdate>20030301</creationdate><title>Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US)</title><author>Krieger, N ; Chen, J T ; Waterman, P D ; Soobader, M-J ; Subramanian, S V ; Carson, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b675t-afc7f206eae1c7dfeabe687bb5b63a2da669001247d7c90ab8070c8b399bd6d53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Birth weight</topic><topic>Birth weight, Low</topic><topic>Census</topic><topic>Censuses</topic><topic>Child</topic><topic>Childhood</topic><topic>Children</topic><topic>Cross-Sectional Studies</topic><topic>Economics</topic><topic>Educational Status</topic><topic>Employment indices</topic><topic>Female</topic><topic>geocoding and geographic information science (GIS)</topic><topic>Geography</topic><topic>Health aspects</topic><topic>Housing</topic><topic>Humans</topic><topic>Income</topic><topic>Infant</topic><topic>Infant, Low Birth Weight</topic><topic>Infant, Newborn</topic><topic>Lead - blood</topic><topic>Lead poisoning</topic><topic>Lead Poisoning - blood</topic><topic>Lead Poisoning - epidemiology</topic><topic>Low birth weight</topic><topic>Male</topic><topic>Massachusetts - epidemiology</topic><topic>Median family income</topic><topic>Median income</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Poisoning</topic><topic>Postal codes</topic><topic>Poverty</topic><topic>Poverty - statistics & numerical data</topic><topic>Prevention and actions</topic><topic>Public health</topic><topic>public health surveillance</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Rhode Island - epidemiology</topic><topic>Risk Factors</topic><topic>Social aspects</topic><topic>Social Class</topic><topic>Socioeconomic Factors</topic><topic>socioeconomic inequalities</topic><topic>Socioeconomics</topic><topic>Specific populations (family, woman, child, elderly...)</topic><topic>Statistics</topic><topic>Studies</topic><topic>Theory and Methods</topic><topic>Unemployment</topic><topic>ZIP codes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Krieger, N</creatorcontrib><creatorcontrib>Chen, J T</creatorcontrib><creatorcontrib>Waterman, P D</creatorcontrib><creatorcontrib>Soobader, M-J</creatorcontrib><creatorcontrib>Subramanian, S V</creatorcontrib><creatorcontrib>Carson, R</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><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>ProQuest Nursing and Allied Health Journals</collection><collection>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Public Health Database (ProQuest)</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>BMJ Journals</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 (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Biological Science 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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of epidemiology and community health (1979)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Krieger, N</au><au>Chen, J T</au><au>Waterman, P D</au><au>Soobader, M-J</au><au>Subramanian, S V</au><au>Carson, R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US)</atitle><jtitle>Journal of epidemiology and community health (1979)</jtitle><addtitle>J Epidemiol Community Health</addtitle><date>2003-03-01</date><risdate>2003</risdate><volume>57</volume><issue>3</issue><spage>186</spage><epage>199</epage><pages>186-199</pages><issn>0143-005X</issn><eissn>1470-2738</eissn><coden>JECHDR</coden><abstract>Study objectives: To determine which area based socioeconomic measures can meaningfully be used, at which level of geography, to monitor socioeconomic inequalities in childhood health in the US. Design: Cross sectional analysis of birth certificate and childhood lead poisoning registry data, geocoded and linked to diverse area based socioeconomic measures that were generated at three geographical levels: census tract, block group, and ZIP code. Setting: Two US states: Massachusetts (1990 population=6 016 425) and Rhode Island (1990 population=1 003 464). Participants: All births born to mothers ages 15 to 55 years old who were residents of either Massachusetts (1989–1991; n=267 311) or Rhode Island (1987–1993; n=96 138), and all children ages 1 to 5 years residing in Rhode Island who were screened for lead levels between 1994 and 1996 (n=62 514 children, restricted to first test during the study period). Main results: Analyses of both the birth weight and lead data indicated that: (a) block group and tract socioeconomic measures performed similarly within and across both states, while ZIP code level measures tended to detect smaller effects; (b) measures pertaining to economic poverty detected stronger gradients than measures of education, occupation, and wealth; (c) results were similar for categories generated by quintiles and by a priori categorical cut off points; and (d) the area based socioeconomic measures yielded estimates of effect equal to or augmenting those detected, respectively, by individual level educational data for birth outcomes and by the area based housing measure recommended by the US government for monitoring childhood lead poisoning. Conclusions: Census tract or block group area based socioeconomic measures of economic deprivation could be meaningfully used in conjunction with US public health surveillance systems to enable or enhance monitoring of social inequalities in health in the United States.</abstract><cop>London</cop><pub>BMJ Publishing Group Ltd</pub><pmid>12594195</pmid><doi>10.1136/jech.57.3.186</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Biological and medical sciences Birth weight Birth weight, Low Census Censuses Child Childhood Children Cross-Sectional Studies Economics Educational Status Employment indices Female geocoding and geographic information science (GIS) Geography Health aspects Housing Humans Income Infant Infant, Low Birth Weight Infant, Newborn Lead - blood Lead poisoning Lead Poisoning - blood Lead Poisoning - epidemiology Low birth weight Male Massachusetts - epidemiology Median family income Median income Medical sciences Middle Aged Poisoning Postal codes Poverty Poverty - statistics & numerical data Prevention and actions Public health public health surveillance Public health. Hygiene Public health. Hygiene-occupational medicine Rhode Island - epidemiology Risk Factors Social aspects Social Class Socioeconomic Factors socioeconomic inequalities Socioeconomics Specific populations (family, woman, child, elderly...) Statistics Studies Theory and Methods Unemployment ZIP codes |
title | Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US) |
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