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281 Occupations and Parkinson’s disease in a population-based case-control study

Identifieur interne : 002A06 ( Main/Corpus ); précédent : 002A05; suivant : 002A07

281 Occupations and Parkinson’s disease in a population-based case-control study

Auteurs : M A Harris ; Marion ; Tsui ; Shen ; Teschke

Source :

RBID : ISTEX:4CB8756CCCD97DD4EF7C87F27E2561DA88388112

Abstract

Objectives Despite mounting evidence on epidemiological risk factors, Parkinson’s disease (PD) incidence remains largely unexplained. The purpose of this study was to test associations between occupations and PD to complement analyses of occupational exposures. Methods We used a population-based case-control design in British Columbia, Canada, including 403 cases (users of antiparkinsonian medication) and 405 controls (from the provincial health insurance register, frequency matched on age and sex). Job histories were collected using structured questionnaires querying all jobs held since age 16. Odds ratios were calculated for associations between PD and occupational categories using unconditional logistic regression, adjusting for age, sex, and smoking. Results Significantly elevated risks were found for social science, law and library jobs (OR 1.82; 95% CI 1.01 - 3.29); and farming and horticulture jobs (OR 2.03; 95% CI 1.10 - 3.74). Nonsignificantly elevated risks were found for gas station jobs (OR 2.55; 95% CI 0.84 - 7.72); welders (OR 2.98; 95% CI 0.78 - 11.40); and drivers of heavy equipment (OR 1.95; 95% CI 0.66 - 5.81). Reduced risks were found for management and administration jobs (OR 0.70; 95% CI 0.49 - 0.99); other health care jobs (OR 0.44; 95% CI 0.20 - 0.99); repairers (OR 0.49; 95% CI 0.22 - 1.09); and electricians (OR 0.46; 95% CI 0.17 - 1.26). Conclusions Increased risks for social science jobs could be related to numbers of people contacted in a day and risk of infections. Severe influenza was associated with increased risk of PD but number of people contacted was not. Elevated risks for farmers are typically attributed to pesticide exposure, however our pesticide analyses did not support this attribution. Other exposures of interest for farmers could include animal contact, influenza, head injuries, and vibration from heavy equipment, all associated with PD in our study.

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DOI: 10.1136/oemed-2013-101717.281

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ISTEX:4CB8756CCCD97DD4EF7C87F27E2561DA88388112

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<div type="abstract">Objectives Despite mounting evidence on epidemiological risk factors, Parkinson’s disease (PD) incidence remains largely unexplained. The purpose of this study was to test associations between occupations and PD to complement analyses of occupational exposures. Methods We used a population-based case-control design in British Columbia, Canada, including 403 cases (users of antiparkinsonian medication) and 405 controls (from the provincial health insurance register, frequency matched on age and sex). Job histories were collected using structured questionnaires querying all jobs held since age 16. Odds ratios were calculated for associations between PD and occupational categories using unconditional logistic regression, adjusting for age, sex, and smoking. Results Significantly elevated risks were found for social science, law and library jobs (OR 1.82; 95% CI 1.01 - 3.29); and farming and horticulture jobs (OR 2.03; 95% CI 1.10 - 3.74). Nonsignificantly elevated risks were found for gas station jobs (OR 2.55; 95% CI 0.84 - 7.72); welders (OR 2.98; 95% CI 0.78 - 11.40); and drivers of heavy equipment (OR 1.95; 95% CI 0.66 - 5.81). Reduced risks were found for management and administration jobs (OR 0.70; 95% CI 0.49 - 0.99); other health care jobs (OR 0.44; 95% CI 0.20 - 0.99); repairers (OR 0.49; 95% CI 0.22 - 1.09); and electricians (OR 0.46; 95% CI 0.17 - 1.26). Conclusions Increased risks for social science jobs could be related to numbers of people contacted in a day and risk of infections. Severe influenza was associated with increased risk of PD but number of people contacted was not. Elevated risks for farmers are typically attributed to pesticide exposure, however our pesticide analyses did not support this attribution. Other exposures of interest for farmers could include animal contact, influenza, head injuries, and vibration from heavy equipment, all associated with PD in our study.</div>
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<p>We used a population-based case-control design in British Columbia, Canada, including 403 cases (users of antiparkinsonian medication) and 405 controls (from the provincial health insurance register, frequency matched on age and sex). Job histories were collected using structured questionnaires querying all jobs held since age 16. Odds ratios were calculated for associations between PD and occupational categories using unconditional logistic regression, adjusting for age, sex, and smoking.</p>
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<p>Significantly elevated risks were found for social science, law and library jobs (OR 1.82; 95% CI 1.01 - 3.29); and farming and horticulture jobs (OR 2.03; 95% CI 1.10 - 3.74). Nonsignificantly elevated risks were found for gas station jobs (OR 2.55; 95% CI 0.84 - 7.72); welders (OR 2.98; 95% CI 0.78 - 11.40); and drivers of heavy equipment (OR 1.95; 95% CI 0.66 - 5.81). Reduced risks were found for management and administration jobs (OR 0.70; 95% CI 0.49 - 0.99); other health care jobs (OR 0.44; 95% CI 0.20 - 0.99); repairers (OR 0.49; 95% CI 0.22 - 1.09); and electricians (OR 0.46; 95% CI 0.17 - 1.26).</p>
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<p>Increased risks for social science jobs could be related to numbers of people contacted in a day and risk of infections. Severe influenza was associated with increased risk of PD but number of people contacted was not. Elevated risks for farmers are typically attributed to pesticide exposure, however our pesticide analyses did not support this attribution. Other exposures of interest for farmers could include animal contact, influenza, head injuries, and vibration from heavy equipment, all associated with PD in our study.</p>
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<title>281 Occupations and Parkinson’s disease in a population-based case-control study</title>
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<name type="personal">
<namePart type="given">M A</namePart>
<namePart type="family">Harris</namePart>
<affiliation>Ryerson University, Toronto, Canada</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="family">Marion</namePart>
<affiliation>University of British Columbia, Vancouver, Canada</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="family">Tsui</namePart>
<affiliation>University of British Columbia, Vancouver, Canada</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="family">Shen</namePart>
<affiliation>University of British Columbia, Vancouver, Canada</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="family">Teschke</namePart>
<affiliation>University of British Columbia, Vancouver, Canada</affiliation>
<role>
<roleTerm type="text">author</roleTerm>
</role>
</name>
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<originInfo>
<publisher>BMJ Publishing Group Ltd</publisher>
<dateIssued encoding="w3cdtf">2013-09</dateIssued>
<copyrightDate encoding="w3cdtf">2013</copyrightDate>
</originInfo>
<language>
<languageTerm type="code" authority="iso639-2b">eng</languageTerm>
<languageTerm type="code" authority="rfc3066">en</languageTerm>
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<abstract>Objectives Despite mounting evidence on epidemiological risk factors, Parkinson’s disease (PD) incidence remains largely unexplained. The purpose of this study was to test associations between occupations and PD to complement analyses of occupational exposures. Methods We used a population-based case-control design in British Columbia, Canada, including 403 cases (users of antiparkinsonian medication) and 405 controls (from the provincial health insurance register, frequency matched on age and sex). Job histories were collected using structured questionnaires querying all jobs held since age 16. Odds ratios were calculated for associations between PD and occupational categories using unconditional logistic regression, adjusting for age, sex, and smoking. Results Significantly elevated risks were found for social science, law and library jobs (OR 1.82; 95% CI 1.01 - 3.29); and farming and horticulture jobs (OR 2.03; 95% CI 1.10 - 3.74). Nonsignificantly elevated risks were found for gas station jobs (OR 2.55; 95% CI 0.84 - 7.72); welders (OR 2.98; 95% CI 0.78 - 11.40); and drivers of heavy equipment (OR 1.95; 95% CI 0.66 - 5.81). Reduced risks were found for management and administration jobs (OR 0.70; 95% CI 0.49 - 0.99); other health care jobs (OR 0.44; 95% CI 0.20 - 0.99); repairers (OR 0.49; 95% CI 0.22 - 1.09); and electricians (OR 0.46; 95% CI 0.17 - 1.26). Conclusions Increased risks for social science jobs could be related to numbers of people contacted in a day and risk of infections. Severe influenza was associated with increased risk of PD but number of people contacted was not. Elevated risks for farmers are typically attributed to pesticide exposure, however our pesticide analyses did not support this attribution. Other exposures of interest for farmers could include animal contact, influenza, head injuries, and vibration from heavy equipment, all associated with PD in our study.</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">oemed</identifier>
<identifier type="PublisherID-hwp">oemed</identifier>
<identifier type="PublisherID-nlm-ta">Occup Environ Med</identifier>
<part>
<date>2013</date>
<detail type="title">
<title>23rd Conference on Epidemiology in Occupational Health EPICOH 2013: Improving the Impact June 18–21, 2013, Utrecht, The Netherlands</title>
</detail>
<detail type="volume">
<caption>vol.</caption>
<number>70</number>
</detail>
<detail type="issue">
<caption>no.</caption>
<number>Suppl 1</number>
</detail>
<extent unit="pages">
<start>A95</start>
</extent>
</part>
</relatedItem>
<identifier type="istex">4CB8756CCCD97DD4EF7C87F27E2561DA88388112</identifier>
<identifier type="DOI">10.1136/oemed-2013-101717.281</identifier>
<identifier type="href">oemed-70-A95-3.pdf</identifier>
<identifier type="ArticleID">oemed-2013-101717.281</identifier>
<identifier type="local">oemed;70/Suppl_1/A95-b</identifier>
<accessCondition type="use and reproduction" contentType="copyright">© 2013, 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>
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<recordContentSource>BMJ</recordContentSource>
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