Occupation, Pesticide Exposure and Risk of Multiple Myeloma

Objectives This population-based case-control study examined the relationship between occupation, living or working on a farm, pesticide exposure, and the risk of multiple myeloma. Methods The study included 573 persons newly diagnosed with myeloma and 2131 controls. Information was obtained on soci...

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Veröffentlicht in:Scandinavian Journal of Work, Environment & Health Environment & Health, 2004-06, Vol.30 (3), p.215-222
Hauptverfasser: Baris, Dalsu, Silverman, Debra T, Brown, Linda Morris, Swanson, G Marie, Hayes, Richard B, Schwartz, Ann G, Liff, Jonathan M, Schoenberg, Janet B, Pottern, Linda M, Greenberg, Raymond S, Stewart, Patricia A
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container_issue 3
container_start_page 215
container_title Scandinavian Journal of Work, Environment & Health
container_volume 30
creator Baris, Dalsu
Silverman, Debra T
Brown, Linda Morris
Swanson, G Marie
Hayes, Richard B
Schwartz, Ann G
Liff, Jonathan M
Schoenberg, Janet B
Pottern, Linda M
Greenberg, Raymond S
Stewart, Patricia A
description Objectives This population-based case-control study examined the relationship between occupation, living or working on a farm, pesticide exposure, and the risk of multiple myeloma. Methods The study included 573 persons newly diagnosed with myeloma and 2131 controls. Information was obtained on sociodemographic factors, occupational history, and history of living and working on a farm. Occupational and industrial titles were coded by standardized classification systems. A job-exposure matrix was developed for occupational pesticide exposure. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by unconditional logistic regression. Results Farmers and farm workers had odds ratios of 1.9 (95% CI 0.8-4.6) and 1.4 (95% CI 0.8-2.3), respectively. An odds ratio of 1.7 (95% CI 1.0-2.7) was observed for sheep farm residents or workers, whereas no increased risks were found for cattle, beef, pig, or chicken farm residents or workers. A modestly increased risk was observed for pesticides (OR 1.3, 95% CI 0.9-1.8). Significantly increased risks were found for pharmacists, dieticians and therapists (OR 6.1, 95% CI 1.7-22.5), service occupations (OR 1.3, 95% CI 1.02-1.7), roofers (OR 3.3, 95% CI 1.1-9.8), precision printing occupations (OR 10.1, 95% CI 1.03-99.8), heating equipment operators (OR 4.7, 95% CI 1.4-15.8), and hand molders and casters (OR 3.0,95% CI 1.0-8.4). Conclusions A modest increased risk of multiple myeloma is suggested for occupational pesticide exposure. The increased risk for sheep farm residents or workers indicates that certain animal viruses may be involved in myeloma risk.
doi_str_mv 10.5271/sjweh.782
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Methods The study included 573 persons newly diagnosed with myeloma and 2131 controls. Information was obtained on sociodemographic factors, occupational history, and history of living and working on a farm. Occupational and industrial titles were coded by standardized classification systems. A job-exposure matrix was developed for occupational pesticide exposure. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by unconditional logistic regression. Results Farmers and farm workers had odds ratios of 1.9 (95% CI 0.8-4.6) and 1.4 (95% CI 0.8-2.3), respectively. An odds ratio of 1.7 (95% CI 1.0-2.7) was observed for sheep farm residents or workers, whereas no increased risks were found for cattle, beef, pig, or chicken farm residents or workers. A modestly increased risk was observed for pesticides (OR 1.3, 95% CI 0.9-1.8). Significantly increased risks were found for pharmacists, dieticians and therapists (OR 6.1, 95% CI 1.7-22.5), service occupations (OR 1.3, 95% CI 1.02-1.7), roofers (OR 3.3, 95% CI 1.1-9.8), precision printing occupations (OR 10.1, 95% CI 1.03-99.8), heating equipment operators (OR 4.7, 95% CI 1.4-15.8), and hand molders and casters (OR 3.0,95% CI 1.0-8.4). Conclusions A modest increased risk of multiple myeloma is suggested for occupational pesticide exposure. The increased risk for sheep farm residents or workers indicates that certain animal viruses may be involved in myeloma risk.</description><identifier>ISSN: 0355-3140</identifier><identifier>EISSN: 1795-990X</identifier><identifier>DOI: 10.5271/sjweh.782</identifier><identifier>PMID: 15250650</identifier><language>eng</language><publisher>Helsinki: Scandinavian Journal of Work, Environment & Health</publisher><subject>Adult ; Aged ; Agricultural Workers' Diseases - chemically induced ; Agricultural Workers' Diseases - epidemiology ; Agricultural Workers' Diseases - ethnology ; Biological and medical sciences ; Black or African American ; Black People - statistics &amp; numerical data ; Case control studies ; Chemical hazards ; Crop science ; Crops ; Female ; Georgia - epidemiology ; Hematologic and hematopoietic diseases ; Herbicides ; Humans ; Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis ; Male ; Medical sciences ; Michigan - epidemiology ; Middle Aged ; Multiple myeloma ; Multiple Myeloma - chemically induced ; Multiple Myeloma - epidemiology ; Multiple Myeloma - ethnology ; New Jersey - epidemiology ; Occupational Exposure - adverse effects ; Occupations ; Occupations - classification ; Odds Ratio ; Operating rooms ; Pesticides ; Pesticides - toxicity ; Pesticides, fertilizers and other agrochemicals toxicology ; Risk Assessment - methods ; Risk Factors ; Toxicology ; Vegetable farms ; White People - statistics &amp; numerical data</subject><ispartof>Scandinavian Journal of Work, Environment & Health, 2004-06, Vol.30 (3), p.215-222</ispartof><rights>2004 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a464t-5dcd7b63d2bbad32b85ce16e6f77419416063b346d086a43ea278c5a7cf0d6ee3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40968779$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40968779$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27903,27904,57995,58228</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=15916049$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15250650$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Baris, Dalsu</creatorcontrib><creatorcontrib>Silverman, Debra T</creatorcontrib><creatorcontrib>Brown, Linda Morris</creatorcontrib><creatorcontrib>Swanson, G Marie</creatorcontrib><creatorcontrib>Hayes, Richard B</creatorcontrib><creatorcontrib>Schwartz, Ann G</creatorcontrib><creatorcontrib>Liff, Jonathan M</creatorcontrib><creatorcontrib>Schoenberg, Janet B</creatorcontrib><creatorcontrib>Pottern, Linda M</creatorcontrib><creatorcontrib>Greenberg, Raymond S</creatorcontrib><creatorcontrib>Stewart, Patricia A</creatorcontrib><title>Occupation, Pesticide Exposure and Risk of Multiple Myeloma</title><title>Scandinavian Journal of Work, Environment & Health</title><addtitle>Scand J Work Environ Health</addtitle><description>Objectives This population-based case-control study examined the relationship between occupation, living or working on a farm, pesticide exposure, and the risk of multiple myeloma. Methods The study included 573 persons newly diagnosed with myeloma and 2131 controls. Information was obtained on sociodemographic factors, occupational history, and history of living and working on a farm. Occupational and industrial titles were coded by standardized classification systems. A job-exposure matrix was developed for occupational pesticide exposure. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by unconditional logistic regression. Results Farmers and farm workers had odds ratios of 1.9 (95% CI 0.8-4.6) and 1.4 (95% CI 0.8-2.3), respectively. An odds ratio of 1.7 (95% CI 1.0-2.7) was observed for sheep farm residents or workers, whereas no increased risks were found for cattle, beef, pig, or chicken farm residents or workers. A modestly increased risk was observed for pesticides (OR 1.3, 95% CI 0.9-1.8). Significantly increased risks were found for pharmacists, dieticians and therapists (OR 6.1, 95% CI 1.7-22.5), service occupations (OR 1.3, 95% CI 1.02-1.7), roofers (OR 3.3, 95% CI 1.1-9.8), precision printing occupations (OR 10.1, 95% CI 1.03-99.8), heating equipment operators (OR 4.7, 95% CI 1.4-15.8), and hand molders and casters (OR 3.0,95% CI 1.0-8.4). Conclusions A modest increased risk of multiple myeloma is suggested for occupational pesticide exposure. The increased risk for sheep farm residents or workers indicates that certain animal viruses may be involved in myeloma risk.</description><subject>Adult</subject><subject>Aged</subject><subject>Agricultural Workers' Diseases - chemically induced</subject><subject>Agricultural Workers' Diseases - epidemiology</subject><subject>Agricultural Workers' Diseases - ethnology</subject><subject>Biological and medical sciences</subject><subject>Black or African American</subject><subject>Black People - statistics &amp; numerical data</subject><subject>Case control studies</subject><subject>Chemical hazards</subject><subject>Crop science</subject><subject>Crops</subject><subject>Female</subject><subject>Georgia - epidemiology</subject><subject>Hematologic and hematopoietic diseases</subject><subject>Herbicides</subject><subject>Humans</subject><subject>Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Michigan - epidemiology</subject><subject>Middle Aged</subject><subject>Multiple myeloma</subject><subject>Multiple Myeloma - chemically induced</subject><subject>Multiple Myeloma - epidemiology</subject><subject>Multiple Myeloma - ethnology</subject><subject>New Jersey - epidemiology</subject><subject>Occupational Exposure - adverse effects</subject><subject>Occupations</subject><subject>Occupations - classification</subject><subject>Odds Ratio</subject><subject>Operating rooms</subject><subject>Pesticides</subject><subject>Pesticides - toxicity</subject><subject>Pesticides, fertilizers and other agrochemicals toxicology</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>Toxicology</subject><subject>Vegetable farms</subject><subject>White People - statistics &amp; numerical data</subject><issn>0355-3140</issn><issn>1795-990X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkV1LHTEQhoO01KP2oj-gZW8qFLp28r2hV0WsCoqlKHgXskkWc9yzWZNdWv99c3oOtnjj1TC8D8PMMwi9w3DEicRf8vKXvzuSDdlBCywVr5WC21doAZTzmmIGu2gv5yUAUYV_g3YxJxwEhwX6emXtPJopxOFz9cPnKdjgfHXye4x5Tr4yg6t-hnxfxa66nPspjL2vLh99H1fmAL3uTJ_9223dRzffT66Pz-qLq9Pz428XtWGCTTV31slWUEfa1jhK2oZbj4UXnZQMK4YFCNpSJhw0wjDqDZGN5UbaDpzwnu6jw83cMcWHueyoVyFb3_dm8HHOWggJTBDxIogbIMAULuCnDWhTzDn5To8prEx61Bj0Wqn-q1QXpYX9sB06tyvv_pFbhwX4uAVMtqbvkhlsyP9xqlzIVOHeb7hlnmJ6yhko0Ui5zs82uQkpTEEv45yG4lWv37j-oiYADHgpGDDGUDr5rMElJYT-AZXAmyU</recordid><startdate>20040601</startdate><enddate>20040601</enddate><creator>Baris, Dalsu</creator><creator>Silverman, Debra T</creator><creator>Brown, Linda Morris</creator><creator>Swanson, G Marie</creator><creator>Hayes, Richard B</creator><creator>Schwartz, Ann G</creator><creator>Liff, Jonathan M</creator><creator>Schoenberg, Janet B</creator><creator>Pottern, Linda M</creator><creator>Greenberg, Raymond S</creator><creator>Stewart, Patricia A</creator><general>Scandinavian Journal of Work, Environment & Health</general><general>National Institute for Working Life</general><general>Finnish Institute of Occupational Health</general><general>National Institute of Occupational Health (Denmark)</general><general>National Institute of Occupational Health (Norway)</general><general>Scandinavian journal of work, environment &amp; health</general><scope>188</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>7T2</scope><scope>7U1</scope><scope>7U2</scope><scope>7U7</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>20040601</creationdate><title>Occupation, Pesticide Exposure and Risk of Multiple Myeloma</title><author>Baris, Dalsu ; Silverman, Debra T ; Brown, Linda Morris ; Swanson, G Marie ; Hayes, Richard B ; Schwartz, Ann G ; Liff, Jonathan M ; Schoenberg, Janet B ; Pottern, Linda M ; Greenberg, Raymond S ; Stewart, Patricia A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a464t-5dcd7b63d2bbad32b85ce16e6f77419416063b346d086a43ea278c5a7cf0d6ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Agricultural Workers' Diseases - chemically induced</topic><topic>Agricultural Workers' Diseases - epidemiology</topic><topic>Agricultural Workers' Diseases - ethnology</topic><topic>Biological and medical sciences</topic><topic>Black or African American</topic><topic>Black People - statistics &amp; numerical data</topic><topic>Case control studies</topic><topic>Chemical hazards</topic><topic>Crop science</topic><topic>Crops</topic><topic>Female</topic><topic>Georgia - epidemiology</topic><topic>Hematologic and hematopoietic diseases</topic><topic>Herbicides</topic><topic>Humans</topic><topic>Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Michigan - epidemiology</topic><topic>Middle Aged</topic><topic>Multiple myeloma</topic><topic>Multiple Myeloma - chemically induced</topic><topic>Multiple Myeloma - epidemiology</topic><topic>Multiple Myeloma - ethnology</topic><topic>New Jersey - epidemiology</topic><topic>Occupational Exposure - adverse effects</topic><topic>Occupations</topic><topic>Occupations - classification</topic><topic>Odds Ratio</topic><topic>Operating rooms</topic><topic>Pesticides</topic><topic>Pesticides - toxicity</topic><topic>Pesticides, fertilizers and other agrochemicals toxicology</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>Toxicology</topic><topic>Vegetable farms</topic><topic>White People - statistics &amp; numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baris, Dalsu</creatorcontrib><creatorcontrib>Silverman, Debra T</creatorcontrib><creatorcontrib>Brown, Linda Morris</creatorcontrib><creatorcontrib>Swanson, G Marie</creatorcontrib><creatorcontrib>Hayes, Richard B</creatorcontrib><creatorcontrib>Schwartz, Ann G</creatorcontrib><creatorcontrib>Liff, Jonathan M</creatorcontrib><creatorcontrib>Schoenberg, Janet B</creatorcontrib><creatorcontrib>Pottern, Linda M</creatorcontrib><creatorcontrib>Greenberg, Raymond S</creatorcontrib><creatorcontrib>Stewart, Patricia A</creatorcontrib><collection>Airiti Library</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>Health and Safety Science Abstracts (Full archive)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>Scandinavian Journal of Work, Environment & Health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baris, Dalsu</au><au>Silverman, Debra T</au><au>Brown, Linda Morris</au><au>Swanson, G Marie</au><au>Hayes, Richard B</au><au>Schwartz, Ann G</au><au>Liff, Jonathan M</au><au>Schoenberg, Janet B</au><au>Pottern, Linda M</au><au>Greenberg, Raymond S</au><au>Stewart, Patricia A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Occupation, Pesticide Exposure and Risk of Multiple Myeloma</atitle><jtitle>Scandinavian Journal of Work, Environment & Health</jtitle><addtitle>Scand J Work Environ Health</addtitle><date>2004-06-01</date><risdate>2004</risdate><volume>30</volume><issue>3</issue><spage>215</spage><epage>222</epage><pages>215-222</pages><issn>0355-3140</issn><eissn>1795-990X</eissn><abstract>Objectives This population-based case-control study examined the relationship between occupation, living or working on a farm, pesticide exposure, and the risk of multiple myeloma. Methods The study included 573 persons newly diagnosed with myeloma and 2131 controls. Information was obtained on sociodemographic factors, occupational history, and history of living and working on a farm. Occupational and industrial titles were coded by standardized classification systems. A job-exposure matrix was developed for occupational pesticide exposure. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by unconditional logistic regression. Results Farmers and farm workers had odds ratios of 1.9 (95% CI 0.8-4.6) and 1.4 (95% CI 0.8-2.3), respectively. An odds ratio of 1.7 (95% CI 1.0-2.7) was observed for sheep farm residents or workers, whereas no increased risks were found for cattle, beef, pig, or chicken farm residents or workers. A modestly increased risk was observed for pesticides (OR 1.3, 95% CI 0.9-1.8). Significantly increased risks were found for pharmacists, dieticians and therapists (OR 6.1, 95% CI 1.7-22.5), service occupations (OR 1.3, 95% CI 1.02-1.7), roofers (OR 3.3, 95% CI 1.1-9.8), precision printing occupations (OR 10.1, 95% CI 1.03-99.8), heating equipment operators (OR 4.7, 95% CI 1.4-15.8), and hand molders and casters (OR 3.0,95% CI 1.0-8.4). Conclusions A modest increased risk of multiple myeloma is suggested for occupational pesticide exposure. The increased risk for sheep farm residents or workers indicates that certain animal viruses may be involved in myeloma risk.</abstract><cop>Helsinki</cop><pub>Scandinavian Journal of Work, Environment & Health</pub><pmid>15250650</pmid><doi>10.5271/sjweh.782</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Agricultural Workers' Diseases - chemically induced
Agricultural Workers' Diseases - epidemiology
Agricultural Workers' Diseases - ethnology
Biological and medical sciences
Black or African American
Black People - statistics & numerical data
Case control studies
Chemical hazards
Crop science
Crops
Female
Georgia - epidemiology
Hematologic and hematopoietic diseases
Herbicides
Humans
Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis
Male
Medical sciences
Michigan - epidemiology
Middle Aged
Multiple myeloma
Multiple Myeloma - chemically induced
Multiple Myeloma - epidemiology
Multiple Myeloma - ethnology
New Jersey - epidemiology
Occupational Exposure - adverse effects
Occupations
Occupations - classification
Odds Ratio
Operating rooms
Pesticides
Pesticides - toxicity
Pesticides, fertilizers and other agrochemicals toxicology
Risk Assessment - methods
Risk Factors
Toxicology
Vegetable farms
White People - statistics & numerical data
title Occupation, Pesticide Exposure and Risk of Multiple Myeloma
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