Literature DB >> 24158310

Estimated prevalence of exposure to occupational carcinogens in Australia (2011-2012).

Renee N Carey1, Timothy R Driscoll, Susan Peters, Deborah C Glass, Alison Reid, Geza Benke, Lin Fritschi.   

Abstract

BACKGROUND AND OBJECTIVES: Although past studies of workplace exposures have contributed greatly to our understanding of carcinogens, significant knowledge gaps still exist with regard to the actual extent of exposure among current workers, with no routinely collected population-based data being available in most countries. This study, the Australian Work Exposures Study (AWES), aimed to investigate the current prevalence of occupational exposure to carcinogens.
METHODS: A random sample of men and women aged between 18 and 65, who were currently in paid employment, were invited to participate in a telephone interview collecting information about their current job and various demographic factors. Interviews were conducted using a web-based application (OccIDEAS). OccIDEAS uses the expert exposure method in which participants are asked about their job tasks and predefined algorithms are used to automatically assign exposures. Responses were obtained from 5023 eligible Australian residents, resulting in an overall response rate of 53%.
RESULTS: 1879 respondents (37.6%) were assessed as being exposed to at least one occupational carcinogen in their current job. Extrapolation of these figures to the Australian working population suggested 3.6 million (40.3%) current workers could be exposed to carcinogens in their workplace. Exposure prevalence was highest among farmers, drivers, miners and transport workers, as well as men and those residing in regional areas.
CONCLUSIONS: This study demonstrates a practical, web-based approach to collecting population information on occupational exposure to carcinogens and documents the high prevalence of current exposure to occupational carcinogens in the general population.

Entities:  

Keywords:  carcinogens; occupational exposure; prevalence

Mesh:

Substances:

Year:  2013        PMID: 24158310     DOI: 10.1136/oemed-2013-101651

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


  26 in total

1.  Combining Decision Rules from Classification Tree Models and Expert Assessment to Estimate Occupational Exposure to Diesel Exhaust for a Case-Control Study.

Authors:  Melissa C Friesen; David C Wheeler; Roel Vermeulen; Sarah J Locke; Dennis D Zaebst; Stella Koutros; Anjoeka Pronk; Joanne S Colt; Dalsu Baris; Margaret R Karagas; Nuria Malats; Molly Schwenn; Alison Johnson; Karla R Armenti; Nathanial Rothman; Patricia A Stewart; Manolis Kogevinas; Debra T Silverman
Journal:  Ann Occup Hyg       Date:  2016-01-04

2.  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

3.  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 4.  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

Review 5.  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

6.  Evaluation of Automatically Assigned Job-Specific Interview Modules.

Authors:  Melissa C Friesen; Qing Lan; Calvin Ge; Sarah J Locke; Dean Hosgood; Lin Fritschi; Troy Sadkowsky; Yu-Cheng Chen; Hu Wei; Jun Xu; Tai Hing Lam; Yok Lam Kwong; Kexin Chen; Caigang Xu; Yu-Chieh Su; Brian C H Chiu; Kai Ming Dennis Ip; Mark P Purdue; Bryan A Bassig; Nat Rothman; Roel Vermeulen
Journal:  Ann Occup Hyg       Date:  2016-06-01

7.  Population-level estimates of workplace exposure to secondhand smoke in Canada.

Authors:  Ela Rydz; Victoria Helen Arrandale; Cheryl Elizabeth Peters
Journal:  Can J Public Health       Date:  2019-09-05

8.  Varied exposure to carcinogenic, mutagenic, and reprotoxic (CMR) chemicals in occupational settings in France.

Authors:  Nathalie Havet; Alexis Penot; Magali Morelle; Lionel Perrier; Barbara Charbotel; Béatrice Fervers
Journal:  Int Arch Occup Environ Health       Date:  2017-01-10       Impact factor: 3.015

9.  Systematically extracting metal- and solvent-related occupational information from free-text responses to lifetime occupational history questionnaires.

Authors:  Melissa C Friesen; Sarah J Locke; Carina Tornow; Yu-Cheng Chen; Dong-Hee Koh; Patricia A Stewart; Mark Purdue; Joanne S Colt
Journal:  Ann Occup Hyg       Date:  2014-03-03

10.  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

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