Assessment of environmental exposures from agricultural pesticides in childhood leukaemia studies: challenges and opportunities.
Identifieur interne : 000345 ( PubMed/Corpus ); précédent : 000344; suivant : 000346Assessment of environmental exposures from agricultural pesticides in childhood leukaemia studies: challenges and opportunities.
Auteurs : Beate Ritz ; Rudolph P. RullSource :
- Radiation protection dosimetry [ 0144-8420 ] ; 2008.
English descriptors
- KwdEn :
- Agriculture (statistics & numerical data), Body Burden, Child, Environmental Exposure (analysis), Environmental Exposure (statistics & numerical data), Environmental Monitoring (methods), Environmental Monitoring (statistics & numerical data), Epidemiological Monitoring, Humans, Incidence, Leukemia, Radiation-Induced (epidemiology), Pesticides (analysis), Risk Assessment (methods), Risk Factors.
- MESH :
- chemical , analysis : Pesticides.
- analysis : Environmental Exposure.
- epidemiology : Leukemia, Radiation-Induced.
- methods : Environmental Monitoring, Risk Assessment.
- statistics & numerical data : Agriculture, Environmental Exposure, Environmental Monitoring.
- Body Burden, Child, Epidemiological Monitoring, Humans, Incidence, Risk Factors.
Abstract
Pesticides are ubiquitous in environments of many rural communities due to drift from agricultural applications and home/garden use. Studies of childhood leukaemia predominantly relied on retrospective pesticide exposure assessment and parental recall of use or proximity to fields or pesticide applications. Sample size requirements mostly preclude the collection of individual-level exposure information, biomarkers or environmental measurements of pesticides prospectively in cohorts. Yet such measures can be used in nested case-control approaches or for validating exposure models that can be applied to large populations. Recently developed models incorporate geographic information system technology and environmental databases of pesticide and/or crop data to assess exposure. Models developed in California to estimate residential exposures are presented by linking addresses to agricultural pesticide application data and land-use maps. Results from exposure validation and simulation studies and exposure measurement error issues are discussed.
DOI: 10.1093/rpd/ncn268
PubMed: 18930927
Links to Exploration step
pubmed:18930927Le document en format XML
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Rull</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2008">2008</date><idno type="RBID">pubmed:18930927</idno><idno type="pmid">18930927</idno><idno type="doi">10.1093/rpd/ncn268</idno><idno type="wicri:Area/PubMed/Corpus">000345</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000345</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Assessment of environmental exposures from agricultural pesticides in childhood leukaemia studies: challenges and opportunities.</title><author><name sortKey="Ritz, Beate" sort="Ritz, Beate" uniqKey="Ritz B" first="Beate" last="Ritz">Beate Ritz</name><affiliation><nlm:affiliation>Department of Epidemiology, Center for Occupational and Environmental Health, UCLA, School of Public Health, Box 951772, 650 Charles E. Young Drive, Los Angeles, CA 90095-1772, USA. BRITZ@ucla.edu</nlm:affiliation></affiliation></author><author><name sortKey="Rull, Rudolph P" sort="Rull, Rudolph P" uniqKey="Rull R" first="Rudolph P" last="Rull">Rudolph P. Rull</name></author></analytic><series><title level="j">Radiation protection dosimetry</title><idno type="ISSN">0144-8420</idno><imprint><date when="2008" type="published">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture (statistics & numerical data)</term><term>Body Burden</term><term>Child</term><term>Environmental Exposure (analysis)</term><term>Environmental Exposure (statistics & numerical data)</term><term>Environmental Monitoring (methods)</term><term>Environmental Monitoring (statistics & numerical data)</term><term>Epidemiological Monitoring</term><term>Humans</term><term>Incidence</term><term>Leukemia, Radiation-Induced (epidemiology)</term><term>Pesticides (analysis)</term><term>Risk Assessment (methods)</term><term>Risk Factors</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Pesticides</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Environmental Exposure</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Leukemia, Radiation-Induced</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Environmental Monitoring</term><term>Risk Assessment</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Agriculture</term><term>Environmental Exposure</term><term>Environmental Monitoring</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Body Burden</term><term>Child</term><term>Epidemiological Monitoring</term><term>Humans</term><term>Incidence</term><term>Risk Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Pesticides are ubiquitous in environments of many rural communities due to drift from agricultural applications and home/garden use. Studies of childhood leukaemia predominantly relied on retrospective pesticide exposure assessment and parental recall of use or proximity to fields or pesticide applications. Sample size requirements mostly preclude the collection of individual-level exposure information, biomarkers or environmental measurements of pesticides prospectively in cohorts. Yet such measures can be used in nested case-control approaches or for validating exposure models that can be applied to large populations. Recently developed models incorporate geographic information system technology and environmental databases of pesticide and/or crop data to assess exposure. Models developed in California to estimate residential exposures are presented by linking addresses to agricultural pesticide application data and land-use maps. Results from exposure validation and simulation studies and exposure measurement error issues are discussed.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">18930927</PMID><DateCreated><Year>2009</Year><Month>01</Month><Day>06</Day></DateCreated><DateCompleted><Year>2009</Year><Month>05</Month><Day>01</Day></DateCompleted><DateRevised><Year>2012</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0144-8420</ISSN><JournalIssue CitedMedium="Print"><Volume>132</Volume><Issue>2</Issue><PubDate><Year>2008</Year></PubDate></JournalIssue><Title>Radiation protection dosimetry</Title><ISOAbbreviation>Radiat Prot Dosimetry</ISOAbbreviation></Journal><ArticleTitle>Assessment of environmental exposures from agricultural pesticides in childhood leukaemia studies: challenges and opportunities.</ArticleTitle><Pagination><MedlinePgn>148-55</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1093/rpd/ncn268</ELocationID><Abstract><AbstractText>Pesticides are ubiquitous in environments of many rural communities due to drift from agricultural applications and home/garden use. Studies of childhood leukaemia predominantly relied on retrospective pesticide exposure assessment and parental recall of use or proximity to fields or pesticide applications. Sample size requirements mostly preclude the collection of individual-level exposure information, biomarkers or environmental measurements of pesticides prospectively in cohorts. Yet such measures can be used in nested case-control approaches or for validating exposure models that can be applied to large populations. Recently developed models incorporate geographic information system technology and environmental databases of pesticide and/or crop data to assess exposure. Models developed in California to estimate residential exposures are presented by linking addresses to agricultural pesticide application data and land-use maps. Results from exposure validation and simulation studies and exposure measurement error issues are discussed.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ritz</LastName><ForeName>Beate</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Department of Epidemiology, Center for Occupational and Environmental Health, UCLA, School of Public Health, Box 951772, 650 Charles E. Young Drive, Los Angeles, CA 90095-1772, USA. 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