Occupational pesticide exposure surveillance for agriculture in Canada
Identifieur interne : 000252 ( Istex/Corpus ); précédent : 000251; suivant : 000253Occupational pesticide exposure surveillance for agriculture in Canada
Auteurs : Nichole Garzia ; Karla Poplawski ; Anne-Marie Nicol ; Paul DemersSource :
- Occupational and Environmental Medicine [ 1351-0711 ] ; 2011-09.
Abstract
Objectives As part of a National Carcinogen Surveillance Project (CAREX Canada), the objective is to conduct surveillance on occupational exposure to agricultural pesticides classified as “possible” carcinogens by the International Agency for Research on Cancer. Methods Region-specific annual agriculture use (AAU) estimates for selected pesticides are derived by multiplying crop production areas (hectares) from the Interpolated Census of Agriculture (2006) by crop-specific intensity use weights (grams/hectare per year) developed using national and provincial pesticide information. Total AAU (tonnes) is derived for each pesticide as the sum of active ingredient used on all crop types within a subprovincial region. Regional estimates are mapped using a Geographic Information System (GIS). Estimates of potentially exposed Farm Operators are derived by multiplying the provincial average number of Farm Operators per farm (2006 Census of Agriculture) by number of farms suspected to use the pesticide in each region. Results Chlorothalonil AAU estimates were derived for Western provinces: British Columbia (BC), Alberta (AB), Saskatchewan (SK). Regions using chlorothalonil were classified into four ‘usage groups’ based on AAU (tonnes) quartiles: Low (>0-21), Low-Medium (>21–82), Medium-High (>82–273), High (>273–1597). Map dissemination of estimates identifies high exposure potential regions. Farm Operators potentially exposed to chlorothalonil varied between provinces: BC n=6214; AB n=24 183; SK n=47 020. ‘Fruit’ and ‘vegetable’ farms in BC, ‘pulse’ and ‘wheat’ farms in AB, and ‘pulse’ farms in SK were main farm types contributing to these estimates. Conclusions This work provides knowledge on the potential extent of pesticide exposure. Future work will quantify exposure levels for Farm Operators.
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DOI: 10.1136/oemed-2011-100382.404
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Methods Region-specific annual agriculture use (AAU) estimates for selected pesticides are derived by multiplying crop production areas (hectares) from the Interpolated Census of Agriculture (2006) by crop-specific intensity use weights (grams/hectare per year) developed using national and provincial pesticide information. Total AAU (tonnes) is derived for each pesticide as the sum of active ingredient used on all crop types within a subprovincial region. Regional estimates are mapped using a Geographic Information System (GIS). Estimates of potentially exposed Farm Operators are derived by multiplying the provincial average number of Farm Operators per farm (2006 Census of Agriculture) by number of farms suspected to use the pesticide in each region. Results Chlorothalonil AAU estimates were derived for Western provinces: British Columbia (BC), Alberta (AB), Saskatchewan (SK). Regions using chlorothalonil were classified into four ‘usage groups’ based on AAU (tonnes) quartiles: Low (>0-21), Low-Medium (>21–82), Medium-High (>82–273), High (>273–1597). Map dissemination of estimates identifies high exposure potential regions. Farm Operators potentially exposed to chlorothalonil varied between provinces: BC n=6214; AB n=24 183; SK n=47 020. ‘Fruit’ and ‘vegetable’ farms in BC, ‘pulse’ and ‘wheat’ farms in AB, and ‘pulse’ farms in SK were main farm types contributing to these estimates. Conclusions This work provides knowledge on the potential extent of pesticide exposure. Future work will quantify exposure levels for Farm Operators.</div></front></TEI><istex><corpusName>bmj</corpusName><author><json:item><name>Nichole Garzia</name><affiliations><json:string>University of British Columbia, Vancouver, Canada</json:string></affiliations></json:item><json:item><name>Karla Poplawski</name><affiliations><json:string>University of British Columbia, Vancouver, Canada</json:string></affiliations></json:item><json:item><name>Anne-Marie Nicol</name><affiliations><json:string>University of British Columbia, Vancouver, Canada</json:string></affiliations></json:item><json:item><name>Paul Demers</name><affiliations><json:string>Occupational Cancer Research Centre, Toronto, Canada</json:string></affiliations></json:item></author><articleId><json:string>oemed-2011-100382.404</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>abstract</json:string></originalGenre><abstract>Objectives As part of a National Carcinogen Surveillance Project (CAREX Canada), the objective is to conduct surveillance on occupational exposure to agricultural pesticides classified as “possible” carcinogens by the International Agency for Research on Cancer. Methods Region-specific annual agriculture use (AAU) estimates for selected pesticides are derived by multiplying crop production areas (hectares) from the Interpolated Census of Agriculture (2006) by crop-specific intensity use weights (grams/hectare per year) developed using national and provincial pesticide information. Total AAU (tonnes) is derived for each pesticide as the sum of active ingredient used on all crop types within a subprovincial region. Regional estimates are mapped using a Geographic Information System (GIS). Estimates of potentially exposed Farm Operators are derived by multiplying the provincial average number of Farm Operators per farm (2006 Census of Agriculture) by number of farms suspected to use the pesticide in each region. Results Chlorothalonil AAU estimates were derived for Western provinces: British Columbia (BC), Alberta (AB), Saskatchewan (SK). Regions using chlorothalonil were classified into four ‘usage groups’ based on AAU (tonnes) quartiles: Low (>0-21), Low-Medium (>21–82), Medium-High (>82–273), High (>273–1597). Map dissemination of estimates identifies high exposure potential regions. Farm Operators potentially exposed to chlorothalonil varied between provinces: BC n=6214; AB n=24 183; SK n=47 020. ‘Fruit’ and ‘vegetable’ farms in BC, ‘pulse’ and ‘wheat’ farms in AB, and ‘pulse’ farms in SK were main farm types contributing to these estimates. Conclusions This work provides knowledge on the potential extent of pesticide exposure. 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For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</p></availability><date>2011</date></publicationStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a">Occupational pesticide exposure surveillance for agriculture in Canada</title><author xml:id="author-1"><persName><forename type="first">Nichole</forename><surname>Garzia</surname></persName><affiliation>University of British Columbia, Vancouver, Canada</affiliation></author><author xml:id="author-2"><persName><forename type="first">Karla</forename><surname>Poplawski</surname></persName><affiliation>University of British Columbia, Vancouver, Canada</affiliation></author><author xml:id="author-3"><persName><forename type="first">Anne-Marie</forename><surname>Nicol</surname></persName><affiliation>University of British Columbia, Vancouver, Canada</affiliation></author><author xml:id="author-4"><persName><forename type="first">Paul</forename><surname>Demers</surname></persName><affiliation>Occupational Cancer Research Centre, Toronto, Canada</affiliation></author></analytic><monogr><title level="j">Occupational and Environmental Medicine</title><title level="j" type="abbrev">Occup Environ Med</title><idno type="pISSN">1351-0711</idno><idno type="eISSN">1470-7926</idno><imprint><publisher>BMJ Publishing Group Ltd</publisher><date type="published" when="2011-09"></date><biblScope unit="volume">68</biblScope><biblScope unit="issue">Suppl 1</biblScope><biblScope unit="page" from="A121">A121</biblScope></imprint></monogr><idno type="istex">BCB2057751030DD63E819CDF1F9376851E886BE1</idno><idno type="DOI">10.1136/oemed-2011-100382.404</idno><idno type="href">oemed-68-A121-4.pdf</idno><idno type="ArticleID">oemed-2011-100382.404</idno><idno type="local">oemed;68/Suppl_1/A121-d</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2011</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>Objectives As part of a National Carcinogen Surveillance Project (CAREX Canada), the objective is to conduct surveillance on occupational exposure to agricultural pesticides classified as “possible” carcinogens by the International Agency for Research on Cancer. Methods Region-specific annual agriculture use (AAU) estimates for selected pesticides are derived by multiplying crop production areas (hectares) from the Interpolated Census of Agriculture (2006) by crop-specific intensity use weights (grams/hectare per year) developed using national and provincial pesticide information. Total AAU (tonnes) is derived for each pesticide as the sum of active ingredient used on all crop types within a subprovincial region. Regional estimates are mapped using a Geographic Information System (GIS). Estimates of potentially exposed Farm Operators are derived by multiplying the provincial average number of Farm Operators per farm (2006 Census of Agriculture) by number of farms suspected to use the pesticide in each region. Results Chlorothalonil AAU estimates were derived for Western provinces: British Columbia (BC), Alberta (AB), Saskatchewan (SK). Regions using chlorothalonil were classified into four ‘usage groups’ based on AAU (tonnes) quartiles: Low (>0-21), Low-Medium (>21–82), Medium-High (>82–273), High (>273–1597). Map dissemination of estimates identifies high exposure potential regions. Farm Operators potentially exposed to chlorothalonil varied between provinces: BC n=6214; AB n=24 183; SK n=47 020. ‘Fruit’ and ‘vegetable’ farms in BC, ‘pulse’ and ‘wheat’ farms in AB, and ‘pulse’ farms in SK were main farm types contributing to these estimates. Conclusions This work provides knowledge on the potential extent of pesticide exposure. Future work will quantify exposure levels for Farm Operators.</p></abstract></profileDesc><revisionDesc><change when="2011-09">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2017-01-19">References added</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/BCB2057751030DD63E819CDF1F9376851E886BE1/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="corpus bmj" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="no"</istex:xmlDeclaration><istex:docType PUBLIC="-//NLM//DTD Journal Archiving and Interchange DTD v2.3 20070202//EN" URI="archivearticle.dtd" name="istex:docType"></istex:docType><istex:document><article article-type="abstract"><front><journal-meta><journal-id journal-id-type="hwp">oemed</journal-id><journal-id journal-id-type="nlm-ta">Occup Environ Med</journal-id><journal-id journal-id-type="publisher-id">oem</journal-id><journal-title>Occupational and Environmental Medicine</journal-title><abbrev-journal-title abbrev-type="publisher">Occup Environ Med</abbrev-journal-title><abbrev-journal-title>Occup Environ Med</abbrev-journal-title><issn pub-type="ppub">1351-0711</issn><issn pub-type="epub">1470-7926</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">oemed-2011-100382.404</article-id><article-id pub-id-type="doi">10.1136/oemed-2011-100382.404</article-id><article-id pub-id-type="other">oemed;68/Suppl_1/A121-d</article-id><article-id pub-id-type="other">oemed;oemed-2011-100382.404</article-id><article-id pub-id-type="other">A121.4</article-id><article-id pub-id-type="other">oemed-2011-100382.404</article-id><article-categories><subj-group subj-group-type="heading"><subject>Poster presentations: Day 3: Friday, September 9, 2011</subject></subj-group><series-title>Poster-discussion: Pesticides</series-title></article-categories><title-group><article-title>Occupational pesticide exposure surveillance for agriculture in Canada</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Garzia</surname><given-names>Nichole</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Poplawski</surname><given-names>Karla</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Nicol</surname><given-names>Anne-Marie</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Demers</surname><given-names>Paul</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib></contrib-group><aff id="A1"><label>1</label>University of British Columbia, Vancouver, Canada</aff><aff id="A2"><label>2</label>Occupational Cancer Research Centre, Toronto, Canada</aff><pub-date pub-type="ppub"><month>9</month><year>2011</year></pub-date><pub-date pub-type="epub-original"><month>9</month><year>2011</year></pub-date><volume>68</volume><volume-id pub-id-type="other">68</volume-id><volume-id pub-id-type="other">68</volume-id><issue>Suppl 1</issue><issue-id pub-id-type="other">oemed;68/Suppl_1</issue-id><issue-id pub-id-type="other" content-type="supplement">Suppl_1</issue-id><issue-id pub-id-type="other">68/Suppl_1</issue-id><issue-title>22nd International Conference on Epidemiology in Occupational Health EPICOH 2011 September 7–9, 2011, Oxford, UK</issue-title><fpage seq="4">A121</fpage><permissions><copyright-statement>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</copyright-statement><copyright-year>2011</copyright-year></permissions><self-uri content-type="pdf" xlink:role="full-text" xlink:href="oemed-68-A121-4.pdf"></self-uri><abstract><sec><title>Objectives</title><p>As part of a National Carcinogen Surveillance Project (CAREX Canada), the objective is to conduct surveillance on occupational exposure to agricultural pesticides classified as “possible” carcinogens by the International Agency for Research on Cancer.</p></sec><sec><title>Methods</title><p>Region-specific annual agriculture use (AAU) estimates for selected pesticides are derived by multiplying crop production areas (hectares) from the Interpolated Census of Agriculture (2006) by crop-specific intensity use weights (grams/hectare per year) developed using national and provincial pesticide information. Total AAU (tonnes) is derived for each pesticide as the sum of active ingredient used on all crop types within a subprovincial region. Regional estimates are mapped using a Geographic Information System (GIS). Estimates of potentially exposed Farm Operators are derived by multiplying the provincial average number of Farm Operators per farm (2006 Census of Agriculture) by number of farms suspected to use the pesticide in each region.</p></sec><sec><title>Results</title><p>Chlorothalonil AAU estimates were derived for Western provinces: British Columbia (BC), Alberta (AB), Saskatchewan (SK). Regions using chlorothalonil were classified into four ‘usage groups’ based on AAU (tonnes) quartiles: Low (>0-21), Low-Medium (>21–82), Medium-High (>82–273), High (>273–1597). Map dissemination of estimates identifies high exposure potential regions. Farm Operators potentially exposed to chlorothalonil varied between provinces: BC n=6214; AB n=24 183; SK n=47 020. ‘Fruit’ and ‘vegetable’ farms in BC, ‘pulse’ and ‘wheat’ farms in AB, and ‘pulse’ farms in SK were main farm types contributing to these estimates.</p></sec><sec><title>Conclusions</title><p>This work provides knowledge on the potential extent of pesticide exposure. Future work will quantify exposure levels for Farm Operators.</p></sec></abstract></article-meta></front></article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Occupational pesticide exposure surveillance for agriculture in Canada</title><partName>Poster-discussion: Pesticides</partName></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Occupational pesticide exposure surveillance for agriculture in Canada</title><partName>Poster-discussion: Pesticides</partName></titleInfo><name type="personal"><namePart type="given">Nichole</namePart><namePart type="family">Garzia</namePart><affiliation>University of British Columbia, Vancouver, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Karla</namePart><namePart type="family">Poplawski</namePart><affiliation>University of British Columbia, Vancouver, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Anne-Marie</namePart><namePart type="family">Nicol</namePart><affiliation>University of British Columbia, Vancouver, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Paul</namePart><namePart type="family">Demers</namePart><affiliation>Occupational Cancer Research Centre, Toronto, Canada</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="abstract" displayLabel="abstract"></genre><originInfo><publisher>BMJ Publishing Group Ltd</publisher><dateIssued encoding="w3cdtf">2011-09</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract>Objectives As part of a National Carcinogen Surveillance Project (CAREX Canada), the objective is to conduct surveillance on occupational exposure to agricultural pesticides classified as “possible” carcinogens by the International Agency for Research on Cancer. Methods Region-specific annual agriculture use (AAU) estimates for selected pesticides are derived by multiplying crop production areas (hectares) from the Interpolated Census of Agriculture (2006) by crop-specific intensity use weights (grams/hectare per year) developed using national and provincial pesticide information. Total AAU (tonnes) is derived for each pesticide as the sum of active ingredient used on all crop types within a subprovincial region. Regional estimates are mapped using a Geographic Information System (GIS). Estimates of potentially exposed Farm Operators are derived by multiplying the provincial average number of Farm Operators per farm (2006 Census of Agriculture) by number of farms suspected to use the pesticide in each region. Results Chlorothalonil AAU estimates were derived for Western provinces: British Columbia (BC), Alberta (AB), Saskatchewan (SK). Regions using chlorothalonil were classified into four ‘usage groups’ based on AAU (tonnes) quartiles: Low (>0-21), Low-Medium (>21–82), Medium-High (>82–273), High (>273–1597). Map dissemination of estimates identifies high exposure potential regions. Farm Operators potentially exposed to chlorothalonil varied between provinces: BC n=6214; AB n=24 183; SK n=47 020. ‘Fruit’ and ‘vegetable’ farms in BC, ‘pulse’ and ‘wheat’ farms in AB, and ‘pulse’ farms in SK were main farm types contributing to these estimates. Conclusions This work provides knowledge on the potential extent of pesticide exposure. Future work will quantify exposure levels for Farm Operators.</abstract><relatedItem type="host"><titleInfo><title>Occupational and Environmental Medicine</title></titleInfo><titleInfo type="abbreviated"><title>Occup Environ Med</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">1351-0711</identifier><identifier type="eISSN">1470-7926</identifier><identifier type="PublisherID">oem</identifier><identifier type="PublisherID-hwp">oemed</identifier><identifier type="PublisherID-nlm-ta">Occup Environ Med</identifier><part><date>2011</date><detail type="title"><title>22nd International Conference on Epidemiology in Occupational Health EPICOH 2011 September 7–9, 2011, Oxford, UK</title></detail><detail type="volume"><caption>vol.</caption><number>68</number></detail><detail type="issue"><caption>no.</caption><number>Suppl 1</number></detail><extent unit="pages"><start>A121</start></extent></part></relatedItem><identifier type="istex">BCB2057751030DD63E819CDF1F9376851E886BE1</identifier><identifier type="DOI">10.1136/oemed-2011-100382.404</identifier><identifier type="href">oemed-68-A121-4.pdf</identifier><identifier type="ArticleID">oemed-2011-100382.404</identifier><identifier type="local">oemed;68/Suppl_1/A121-d</identifier><accessCondition type="use and reproduction" contentType="copyright">Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</accessCondition><recordInfo><recordContentSource>BMJ</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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