La maladie de Parkinson au Canada (serveur d'exploration)

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Parkinson's disease and occupation: differences in associations by case identification method suggest referral bias.

Identifieur interne : 000791 ( PubMed/Curation ); précédent : 000790; suivant : 000792

Parkinson's disease and occupation: differences in associations by case identification method suggest referral bias.

Auteurs : Kay Teschke [Canada] ; Stephen A. Marion ; Joseph K C. Tsui ; Hui Shen ; Kathrine Rugbjerg ; M Anne Harris

Source :

RBID : pubmed:24166740

English descriptors

Abstract

We used a population-based sample of 403 Parkinson's disease cases and 405 controls to examine risks by occupation. Results were compared to a previous clinic-based analysis.

DOI: 10.1002/ajim.22272
PubMed: 24166740

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pubmed:24166740

Le document en format XML

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<title xml:lang="en">Parkinson's disease and occupation: differences in associations by case identification method suggest referral bias.</title>
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<name sortKey="Teschke, Kay" sort="Teschke, Kay" uniqKey="Teschke K" first="Kay" last="Teschke">Kay Teschke</name>
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<nlm:affiliation>School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
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<name sortKey="Marion, Stephen A" sort="Marion, Stephen A" uniqKey="Marion S" first="Stephen A" last="Marion">Stephen A. Marion</name>
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<name sortKey="Tsui, Joseph K C" sort="Tsui, Joseph K C" uniqKey="Tsui J" first="Joseph K C" last="Tsui">Joseph K C. Tsui</name>
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<name sortKey="Shen, Hui" sort="Shen, Hui" uniqKey="Shen H" first="Hui" last="Shen">Hui Shen</name>
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<name sortKey="Rugbjerg, Kathrine" sort="Rugbjerg, Kathrine" uniqKey="Rugbjerg K" first="Kathrine" last="Rugbjerg">Kathrine Rugbjerg</name>
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<term>Administrative Personnel (statistics & numerical data)</term>
<term>Aged</term>
<term>Agriculture (statistics & numerical data)</term>
<term>Antiparkinson Agents (therapeutic use)</term>
<term>Bias (Epidemiology)</term>
<term>British Columbia (epidemiology)</term>
<term>Case-Control Studies</term>
<term>Commerce (statistics & numerical data)</term>
<term>Drug Prescriptions (statistics & numerical data)</term>
<term>Epidemiologic Methods</term>
<term>Female</term>
<term>Gasoline</term>
<term>Health Personnel (statistics & numerical data)</term>
<term>Humans</term>
<term>Interviews as Topic</term>
<term>Jurisprudence</term>
<term>Libraries (statistics & numerical data)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Occupational Diseases (drug therapy)</term>
<term>Occupational Diseases (epidemiology)</term>
<term>Parkinson Disease (drug therapy)</term>
<term>Parkinson Disease (epidemiology)</term>
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<term>Social Sciences (statistics & numerical data)</term>
<term>Teaching (statistics & numerical data)</term>
<term>Welding (statistics & numerical data)</term>
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<term>Antiparkinson Agents</term>
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<term>British Columbia</term>
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<term>Occupational Diseases</term>
<term>Parkinson Disease</term>
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<term>Occupational Diseases</term>
<term>Parkinson Disease</term>
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<term>Case-Control Studies</term>
<term>Epidemiologic Methods</term>
<term>Female</term>
<term>Gasoline</term>
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<term>Middle Aged</term>
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<div type="abstract" xml:lang="en">We used a population-based sample of 403 Parkinson's disease cases and 405 controls to examine risks by occupation. Results were compared to a previous clinic-based analysis.</div>
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<AbstractText Label="METHODS" NlmCategory="METHODS">We used a population-based sample of 403 Parkinson's disease cases and 405 controls to examine risks by occupation. Results were compared to a previous clinic-based analysis.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">With censoring of jobs held within 10 years of diagnosis, the following had significantly or strongly increased risks: social science, law and library jobs (OR = 1.8); farming and horticulture jobs (OR = 2.0); gas station jobs (OR = 2.6); and welders (OR = 3.0). The following had significantly decreased risks: management and administration jobs (OR = 0.70); and other health care jobs (OR = 0.44).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">These results were consistent with other findings for social science and farming occupations. Risks for teaching, medicine and health occupations were not elevated, unlike our previous clinic-based study. This underscores the value of population-based over clinic-based samples. Occupational studies may be particularly susceptible to referral bias because social networks may spread preferentially via jobs.</AbstractText>
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