Literature DB >> 20864470

Occupation and bladder cancer in a population-based case-control study in Northern New England.

Joanne S Colt1, Margaret R Karagas, Molly Schwenn, Dalsu Baris, Alison Johnson, Patricia Stewart, Castine Verrill, Lee E Moore, Jay Lubin, Mary H Ward, Claudine Samanic, Nathaniel Rothman, Kenneth P Cantor, Laura E Beane Freeman, Alan Schned, Sai Cherala, Debra T Silverman.   

Abstract

OBJECTIVES: We used data from a large, population-based case-control study in Maine, New Hampshire, and Vermont to examine relationships between occupation, industry and bladder cancer risk.
METHODS: Lifetime occupational histories were obtained by personal interview from 1158 patients newly diagnosed with urothelial carcinoma of the bladder in 2001-2004, and from 1402 population controls. Unconditional logistic regression was used to calculate ORs and 95% CIs, adjusted for demographic factors, smoking and employment in other high-risk occupations.
RESULTS: Male precision metalworkers and metalworking/plasticworking machine operators had significantly elevated risks and significant trends in risk with duration of employment (precision metalworkers: OR 2.2, 95% CI 1.4 to 3.4, p(trend) = 0.0065; metalworking/plasticworking machine operators: OR 1.6, 95% CI 1.01 to 2.6, p(trend) = 0.047). Other occupations/industries for which risk increased significantly with duration of employment included: for men, textile machine operators, mechanics/repairers, automobile mechanics, plumbers, computer systems analysts, information clerks, and landscape industry workers; for women, service occupations, health services, cleaning and building services, management-related occupations, electronic components manufacturing and transportation equipment manufacturing. Men reporting use of metalworking fluids (MWF) had a significantly elevated bladder cancer risk (OR 1.7, 95% CI 1.1 to 2.5).
CONCLUSIONS: Our findings support the hypothesis that some component(s) of MWF may be carcinogenic to the bladder. Our results also corroborate many other previously reported associations between bladder cancer risk and various occupations. More detailed analyses using information from the study's job-specific questionnaires may help to identify MWF components that may be carcinogenic, and other bladder carcinogens associated with a variety of occupations.

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Year:  2010        PMID: 20864470      PMCID: PMC3010477          DOI: 10.1136/oem.2009.052571

Source DB:  PubMed          Journal:  Occup Environ Med        ISSN: 1351-0711            Impact factor:   4.402


  56 in total

1.  Patterns and risks of cancer in farmers in Alberta.

Authors:  S M Fincham; J Hanson; J Berkel
Journal:  Cancer       Date:  1992-03-01       Impact factor: 6.860

2.  Epidemiological case-control study on the etiology of bladder cancer in Turkey.

Authors:  A Akdaş; Z Kirkali; N Bilir
Journal:  Eur Urol       Date:  1990       Impact factor: 20.096

3.  Bladder cancer in nonsmokers.

Authors:  G C Kabat; G S Dieck; E L Wynder
Journal:  Cancer       Date:  1986-01-15       Impact factor: 6.860

4.  Occupation and bladder cancer in Pordenone (north-east Italy): a case-control study.

Authors:  F Barbone; S Franceschi; R Talamini; E Bidoli; C La Vecchia
Journal:  Int J Epidemiol       Date:  1994-02       Impact factor: 7.196

5.  Risk of urinary bladder cancer among blacks and whites: the role of cigarette use and occupation.

Authors:  P B Burns; G M Swanson
Journal:  Cancer Causes Control       Date:  1991-11       Impact factor: 2.506

6.  Occupational risks of bladder cancer in France: a multicentre case-control study.

Authors:  S Cordier; J Clavel; J C Limasset; L Boccon-Gibod; N Le Moual; L Mandereau; D Hemon
Journal:  Int J Epidemiol       Date:  1993-06       Impact factor: 7.196

7.  Occupation and cancer in London: an investigation into nasal and bladder cancer using the Cancer Atlas.

Authors:  P J Baxter; M E McDowall
Journal:  Br J Ind Med       Date:  1986-01

8.  Cancer incidence among women in the workplace: a study of the association between occupation and industry and 11 cancer sites.

Authors:  G M Swanson; P B Burns
Journal:  J Occup Environ Med       Date:  1995-03       Impact factor: 2.162

9.  Occupation and the risk of bladder cancer.

Authors:  C la Vecchia; E Negri; B D'Avanzo; S Franceschi
Journal:  Int J Epidemiol       Date:  1990-06       Impact factor: 7.196

10.  Occupation and bladder cancer: a death-certificate study.

Authors:  P J Dolin; P Cook-Mozaffari
Journal:  Br J Cancer       Date:  1992-09       Impact factor: 7.640

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  28 in total

1.  Identifying gender differences in reported occupational information from three US population-based case-control studies.

Authors:  Sarah J Locke; Joanne S Colt; Patricia A Stewart; Karla R Armenti; Dalsu Baris; Aaron Blair; James R Cerhan; Wong-Ho Chow; Wendy Cozen; Faith Davis; Anneclaire J De Roos; Patricia Hartge; Margaret R Karagas; Alison Johnson; Mark P Purdue; Nathaniel Rothman; Kendra Schwartz; Molly Schwenn; Richard Severson; Debra T Silverman; Melissa C Friesen
Journal:  Occup Environ Med       Date:  2014-03-28       Impact factor: 4.402

2.  Developing estimates of frequency and intensity of exposure to three types of metalworking fluids in a population-based case-control study of bladder cancer.

Authors:  Melissa C Friesen; Dong-Uk Park; Joanne S Colt; Dalsu Baris; Molly Schwenn; Margaret R Karagas; Karla R Armenti; Alison Johnson; Debra T Silverman; Patricia A Stewart
Journal:  Am J Ind Med       Date:  2014-08       Impact factor: 2.214

3.  Using hierarchical cluster models to systematically identify groups of jobs with similar occupational questionnaire response patterns to assist rule-based expert exposure assessment in population-based studies.

Authors:  Melissa C Friesen; Susan M Shortreed; David C Wheeler; Igor Burstyn; Roel Vermeulen; Anjoeka Pronk; Joanne S Colt; Dalsu Baris; Margaret R Karagas; Molly Schwenn; Alison Johnson; Karla R Armenti; Debra T Silverman; Kai Yu
Journal:  Ann Occup Hyg       Date:  2014-12-03

4.  Comparison of ordinal and nominal classification trees to predict ordinal expert-based occupational exposure estimates in a case-control study.

Authors:  David C Wheeler; Kellie J Archer; Igor Burstyn; Kai Yu; Patricia A Stewart; Joanne S Colt; Dalsu Baris; Margaret R Karagas; Molly Schwenn; Alison Johnson; Karla Armenti; Debra T Silverman; Melissa C Friesen
Journal:  Ann Occup Hyg       Date:  2014-11-27

Review 5.  Use and Reliability of Exposure Assessment Methods in Occupational Case-Control Studies in the General Population: Past, Present, and Future.

Authors:  Calvin B Ge; Melissa C Friesen; Hans Kromhout; Susan Peters; Nathaniel Rothman; Qing Lan; Roel Vermeulen
Journal:  Ann Work Expo Health       Date:  2018-11-12       Impact factor: 2.179

6.  Comparison of algorithm-based estimates of occupational diesel exhaust exposure to those of multiple independent raters in a population-based case-control study.

Authors:  Melissa C Friesen; Anjoeka Pronk; David C Wheeler; Yu-Cheng Chen; Sarah J Locke; Dennis D Zaebst; Molly Schwenn; Alison Johnson; Richard Waddell; Dalsu Baris; Joanne S Colt; Debra T Silverman; Patricia A Stewart; Hormuzd A Katki
Journal:  Ann Occup Hyg       Date:  2012-11-25

7.  Estimation of the probability of exposure to machining fluids in a population-based case-control study.

Authors:  Dong-Uk Park; Joanne S Colt; Dalsu Baris; Molly Schwenn; Margaret R Karagas; Karla R Armenti; Alison Johnson; Debra T Silverman; Patricia A Stewart
Journal:  J Occup Environ Hyg       Date:  2014       Impact factor: 2.155

8.  Computer-based coding of free-text job descriptions to efficiently identify occupations in epidemiological studies.

Authors:  Daniel E Russ; Kwan-Yuet Ho; Joanne S Colt; Karla R Armenti; Dalsu Baris; Wong-Ho Chow; Faith Davis; Alison Johnson; Mark P Purdue; Margaret R Karagas; Kendra Schwartz; Molly Schwenn; Debra T Silverman; Calvin A Johnson; Melissa C Friesen
Journal:  Occup Environ Med       Date:  2016-04-21       Impact factor: 4.402

9.  Comparison of two expert-based assessments of diesel exhaust exposure in a case-control study: programmable decision rules versus expert review of individual jobs.

Authors:  Anjoeka Pronk; Patricia A Stewart; Joseph B Coble; Hormuzd A Katki; David C Wheeler; Joanne S Colt; Dalsu Baris; Molly Schwenn; Margaret R Karagas; Alison Johnson; Richard Waddell; Castine Verrill; Sai Cherala; Debra T Silverman; Melissa C Friesen
Journal:  Occup Environ Med       Date:  2012-07-27       Impact factor: 4.402

10.  Inside the black box: starting to uncover the underlying decision rules used in a one-by-one expert assessment of occupational exposure in case-control studies.

Authors:  David C Wheeler; Igor Burstyn; Roel Vermeulen; Kai Yu; Susan M Shortreed; Anjoeka Pronk; Patricia A Stewart; Joanne S Colt; Dalsu Baris; Margaret R Karagas; Molly Schwenn; Alison Johnson; Debra T Silverman; Melissa C Friesen
Journal:  Occup Environ Med       Date:  2012-11-15       Impact factor: 4.402

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