Advanced REACH Tool (ART): Overview of Version 1.0 and Research Needs

Tielemans, Erik; Warren, Nicola; Fransman, Wouter; Tongeren, Martie van; McNally, Kevin; Tischer, Martin; Ritchie, Peter; Kromhout, Hans; Schinkel, Jody; Schneider, Thomas; Cherrie, John W.

doi:10.1093/annhyg/mer094

Cited by 34 publications

(20 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The technical aspects are consistent with the original version (Tielemans et al , 2011); however, the software currently links to a library of exposure scenarios with associated measurements. Summary statistics and a brief description of the exposure scenario are provided for each scenario in the library and the source of the measurements (the relevant study) is referenced.…”

Section: Introductionmentioning

confidence: 76%

“…The mechanistic source–receptor model of the ART (Tielemans et al , 2011) is described in detail elsewhere (Fransman et al, 2008, 2011; Marquart et al , 2008). The uncertainty in the mean exposure for the AS is quantified by an exposure class-specific standard deviation (Schinkel et al , 2011).…”

Section: Methodsmentioning

confidence: 99%

“…In comparison, exposure measurements are available for only a small fraction of exposure scenarios. It is clear that industry will be unable to comply with REACH without a significant input from exposure modelling (Tielemans et al , 2011). In order to decrease the burden on industry, a tiered approach to risk assessment has been proposed.…”

Section: Introductionmentioning

confidence: 99%

“…An overview of the ART version 1.0 is given in Tielemans et al (2011). Technical details on various aspects of the ART 1.0 have been published elsewhere (Cherrie et al , 2011; Fransman et al , 2011; Marquart et al , 2011; Schinkel et al , 2011; Van Tongeren et al , 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Technical details on various aspects of the ART 1.0 have been published elsewhere (Cherrie et al , 2011; Fransman et al , 2011; Marquart et al , 2011; Schinkel et al , 2011; Van Tongeren et al , 2011). Whilst the Bayesian approach was described in broad terms in Tielemans et al (2011), a detailed methodology has not been previously published.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Advanced REACH Tool: A Bayesian Model for Occupational Exposure Assessment

McNally

Warren

Fransman

et al. 2014

The Annals of Occupational Hygiene

View full text Add to dashboard Cite

This paper describes a Bayesian model for the assessment of inhalation exposures in an occupational setting; the methodology underpins a freely available web-based application for exposure assessment, the Advanced REACH Tool (ART). The ART is a higher tier exposure tool that combines disparate sources of information within a Bayesian statistical framework. The information is obtained from expert knowledge expressed in a calibrated mechanistic model of exposure assessment, data on inter- and intra-individual variability in exposures from the literature, and context-specific exposure measurements. The ART provides central estimates and credible intervals for different percentiles of the exposure distribution, for full-shift and long-term average exposures. The ART can produce exposure estimates in the absence of measurements, but the precision of the estimates improves as more data become available. The methodology presented in this paper is able to utilize partially analogous data, a novel approach designed to make efficient use of a sparsely populated measurement database although some additional research is still required before practical implementation. The methodology is demonstrated using two worked examples: an exposure to copper pyrithione in the spraying of antifouling paints and an exposure to ethyl acetate in shoe repair.

show abstract

Section: Introductionmentioning

confidence: 76%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Advanced REACH Tool: A Bayesian Model for Occupational Exposure Assessment

McNally

Warren

Fransman

et al. 2014

The Annals of Occupational Hygiene

View full text Add to dashboard Cite

show abstract

Control Banding: Background, Evolution, and Application

Zalk

West

Nelson³

2021

Patty's Industrial Hygiene

View full text Add to dashboard Cite

Control banding (CB) strategies offer a solution for controlling worker exposures to constituents that are found in the workplace in the absence of firm toxicological and exposure data. The CB approach is now recognized in developed countries and economically developing countries and is considered as the most practical approach for the prevention of work‐related risks. As CB strategies are more prevalent in practice, the need for newer professionals to understand their strengths and weaknesses becomes an essential component of their ongoing education.

show abstract

Respiratory health and silicosis in artisanal mine workers in southern Brazil

Souza

Tongeren

Monteiro

2021

American J Industrial Med

View full text Add to dashboard Cite

Background Artisanal and small‐scale mining (ASM) are an important source of employment in southern Brazil. Mining workers are frequently exposed to unhealthy work conditions which increase the risk of occupational diseases. In this study, we assessed the association of sociodemographic factors and the occupational history of artisanal mining workers with the risk of adverse respiratory outcomes. Methods The study was conducted with 258 artisanal mining workers in southern Brazil, who were exposed to dust (mainly crystalline silica) in their work. Information on sociodemographic variables and occupational histories was collected between 2017 and 2018. To estimate the worker's exposure to inhalable dust we use the Advanced REACH (Registration, Evaluation, and Authorization of Chemicals) Tool (ART). Results Study participants were all men, with an average age of 40 years. Median crude dust exposure estimated by ART was 13.2 mg/m³ and median crude crystalline silica exposure was 1.6 mg/m3. The prevalence ratio (PR) for self‐reported silicosis was 3.08 (95% confidence interval, 1.39–7.17) in workers with 20 years or more of mining work. Factors associated with silicosis were age, pack‐years of tobacco use, and body mass index. Smokers were over twice as likely to report respiratory symptoms. Conclusions Our findings indicate that a high prevalence of silicosis and other associated diseases in mining workers is associated with both unhealthy work environment conditions and the health profile of workers. This study is an important step for understanding health outcomes from work in ASM.

show abstract

Advanced REACH Tool (ART): Overview of Version 1.0 and Research Needs

Cited by 34 publications

References 24 publications

Advanced REACH Tool: A Bayesian Model for Occupational Exposure Assessment

Advanced REACH Tool: A Bayesian Model for Occupational Exposure Assessment

Control Banding: Background, Evolution, and Application

Respiratory health and silicosis in artisanal mine workers in southern Brazil

Contact Info

Product

Resources

About