Literature DB >> 22213839

Sharing the knowledge gained from occupational cohort studies: a call for action.

Thomas Behrens1, Birte Mester, Lin Fritschi.   

Abstract

OBJECTIVES: An immense body of knowledge has been created by establishing various job-exposure matrices (JEMs) to assess occupational exposures in community- and industry-based cohort studies. These JEMs could be made available to occupational epidemiologists using knowledge-sharing technologies, thereby saving considerable amounts of time and money for researchers investigating occupation-related research questions. In this paper, the authors give an example of how a detailed JEM can be easily transformed into a job-specific module (JSM) for use in community-based studies.
METHODS: OccIDEAS is operationalised as a web-based software, combining the use of JSMs with an individual expert exposure assessment to assess occupational exposures in various industries according to a set of predefined rules. The authors used a JEM focusing on endocrine-disrupting chemicals from a German study on testicular cancer in the automobile industry to create a JSM in OccIDEAS.
RESULTS: The JEM was easily translated into OccIDEAS requiring about 50 h of work by an epidemiologist familiar with the German JEM to learn about the OccIDEAS structure, establish the required set of exposure rules and to translate the JEM into OccIDEAS. Language did not represent an obstacle for translation either. To make the data available in an international context, an interpreter had to translate the German tasks and exposures after they were coded into OccIDEAS.
CONCLUSIONS: JEMs which are constructed based on identifying tasks that determine exposure can be easily transformed into a JSM. Occupational epidemiologists are invited to contribute to the international scope of OccIDEAS by providing their previously established JEMs to make existing data on occupational exposures widely available to the epidemiological community.

Entities:  

Mesh:

Year:  2012        PMID: 22213839     DOI: 10.1136/oemed-2011-100305

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


  8 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.  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.  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.  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

8.  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

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.