Literature DB >> 25256317

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

Dong-Uk Park1, Joanne S Colt, Dalsu Baris, Molly Schwenn, Margaret R Karagas, Karla R Armenti, Alison Johnson, Debra T Silverman, Patricia A Stewart.   

Abstract

We describe an approach for estimating the probability that study subjects were exposed to metalworking fluids (MWFs) in a population-based case-control study of bladder cancer. Study subject reports on the frequency of machining and use of specific MWFs (straight, soluble, and synthetic/semi-synthetic) were used to estimate exposure probability when available. Those reports also were used to develop estimates for job groups, which were then applied to jobs without MWF reports. Estimates using both cases and controls and controls only were developed. The prevalence of machining varied substantially across job groups (0.1->0.9%), with the greatest percentage of jobs that machined being reported by machinists and tool and die workers. Reports of straight and soluble MWF use were fairly consistent across job groups (generally 50-70%). Synthetic MWF use was lower (13-45%). There was little difference in reports by cases and controls vs. controls only. Approximately, 1% of the entire study population was assessed as definitely exposed to straight or soluble fluids in contrast to 0.2% definitely exposed to synthetic/semi-synthetics. A comparison between the reported use of the MWFs and U.S. production levels found high correlations (r generally >0.7). Overall, the method described here is likely to have provided a systematic and reliable ranking that better reflects the variability of exposure to three types of MWFs than approaches applied in the past. [Supplementary materials are available for this article. Go to the publisher's online edition of Journal of Occupational and Environmental Hygiene for the following free supplemental resources: a list of keywords in the occupational histories that were used to link study subjects to the metalworking fluids (MWFs) modules; recommendations from the literature on selection of MWFs based on type of machining operation, the metal being machined and decade; popular additives to MWFs; the number and proportion of controls who reported various MWF responses by job group; the number and proportion of controls assigned to the MWF types by job group and exposure category; and the distribution of cases and controls assigned various levels of probability by MWF type.].

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Year:  2014        PMID: 25256317      PMCID: PMC4359797          DOI: 10.1080/15459624.2014.918984

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  11 in total

Review 1.  Occupational exposure assessment in case-control studies: opportunities for improvement.

Authors:  K Teschke; A F Olshan; J L Daniels; A J De Roos; C G Parks; M Schulz; T L Vaughan
Journal:  Occup Environ Med       Date:  2002-09       Impact factor: 4.402

2.  Comparison of exposure estimates in the Finnish job-exposure matrix FINJEM with a JEM derived from expert assessments performed in Montreal.

Authors:  Jérôme Lavoué; Javier Pintos; Martie Van Tongeren; Laurel Kincl; Lesley Richardson; T Kauppinen; Elisabeth Cardis; Jack Siemiatycki
Journal:  Occup Environ Med       Date:  2012-04-01       Impact factor: 4.402

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

Authors:  Joanne S Colt; 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
Journal:  Occup Environ Med       Date:  2010-09-23       Impact factor: 4.402

Review 4.  Determinants of exposure to metalworking fluid aerosols: a literature review and analysis of reported measurements.

Authors:  Donguk Park; Patrica A Stewart; Joseph B Coble
Journal:  Ann Occup Hyg       Date:  2009-04

Review 5.  A comprehensive review of the literature on exposure to metalworking fluids.

Authors:  Donguk Park; Patricia A Stewart; Joseph B Coble
Journal:  J Occup Environ Hyg       Date:  2009-09       Impact factor: 2.155

6.  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

7.  Distinguishing the common components of oil- and water-based metalworking fluids for assessment of cancer incidence risk in autoworkers.

Authors:  Melissa C Friesen; Sadie Costello; Sally W Thurston; Ellen A Eisen
Journal:  Am J Ind Med       Date:  2011-02-15       Impact factor: 2.214

8.  Summary of the findings from the exposure assessments for metalworking fluid mortality and morbidity studies.

Authors:  Susan R Woskie; M Abbas Virji; Marilyn Hallock; Thomas J Smith; S Katharine Hammond
Journal:  Appl Occup Environ Hyg       Date:  2003-11

9.  0084 A Case-Control Study of Occupational Exposure to Metalworking Fluids and Bladder Cancer Risk among Men.

Authors:  Joanne Colt; Melissa Friesen; Patricia Stewart; Park Donguk; Alison Johnson; Molly Schwenn; Margaret Karagas; Karla Armenti; Richard Waddell; Castine Verrill; Mary Ward; Laura Beane Freeman; Lee Moore; Dalsu Baris; Debra Silverman
Journal:  Occup Environ Med       Date:  2014-06       Impact factor: 4.402

10.  Polynuclear aromatic hydrocarbons, Part 2, Carbon blacks, mineral oils (lubricant base oils and derived products) and some nitroarenes.

Authors: 
Journal:  IARC Monogr Eval Carcinog Risk Chem Hum       Date:  1984-04
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  6 in total

1.  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

Review 2.  Using Decision Rules to Assess Occupational Exposure in Population-Based Studies.

Authors:  Jean-François Sauvé; Melissa C Friesen
Journal:  Curr Environ Health Rep       Date:  2019-09

3.  Adapting Decision Rules to Estimate Occupational Metalworking Fluid Exposure in a Case-Control Study of Bladder Cancer in Spain.

Authors:  Pabitra R Josse; Stella Koutros; Adonina Tardon; Nathaniel Rothman; Debra T Silverman; Melissa C Friesen
Journal:  Ann Work Expo Health       Date:  2022-03-15       Impact factor: 2.779

4.  0084 A Case-Control Study of Occupational Exposure to Metalworking Fluids and Bladder Cancer Risk among Men.

Authors:  Joanne Colt; Melissa Friesen; Patricia Stewart; Park Donguk; Alison Johnson; Molly Schwenn; Margaret Karagas; Karla Armenti; Richard Waddell; Castine Verrill; Mary Ward; Laura Beane Freeman; Lee Moore; Dalsu Baris; Debra Silverman
Journal:  Occup Environ Med       Date:  2014-06       Impact factor: 4.402

5.  A case-control study of occupational exposure to metalworking fluids and bladder cancer risk among men.

Authors:  Joanne S Colt; Melissa C Friesen; Patricia A Stewart; Park Donguk; Alison Johnson; Molly Schwenn; Margaret R Karagas; Karla Armenti; Richard Waddell; Castine Verrill; Mary H Ward; Laura E Beane Freeman; Lee E Moore; Stella Koutros; Dalsu Baris; Debra T Silverman
Journal:  Occup Environ Med       Date:  2014-06-20       Impact factor: 4.402

6.  Decision rule approach applied to estimate occupational lead exposure in a case-control study of kidney cancer.

Authors:  Catherine L Callahan; Sarah J Locke; Pamela J Dopart; Patricia A Stewart; Kendra Schwartz; Julie J Ruterbusch; Barry I Graubard; Nathaniel Rothman; Jonathan N Hofmann; Mark P Purdue; Melissa C Friesen
Journal:  Am J Ind Med       Date:  2018-10-06       Impact factor: 2.214

  6 in total

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