Evaluation of Exposure Assessment Tools under REACH: Part II-Higher Tier Tools.


Journal

Annals of work exposures and health
ISSN: 2398-7316
Titre abrégé: Ann Work Expo Health
Pays: England
ID NLM: 101698454

Informations de publication

Date de publication:
16 02 2019
Historique:
received: 03 08 2017
revised: 03 10 2018
accepted: 07 11 2018
pubmed: 12 12 2018
medline: 20 2 2020
entrez: 12 12 2018
Statut: ppublish

Résumé

Stoffenmanager®v4.5 and Advanced REACH Tool (ART) v1.5, two higher tier exposure assessment tools for use under REACH, were evaluated by determining accuracy and robustness. A total of 282 exposure measurements from 51 exposure situations (ESs) were collected and categorized by exposure category. In this study, only the results of liquids with vapor pressure (VP) > 10 Pa category having a sufficient number of exposure measurements (n = 251 with 42 ESs) were utilized. In addition, the results were presented by handling/activity description and input parameters for the same exposure category. It should be noted that the performance results of Stoffenmanager and ART in this study cannot be directly compared for some ESs because ART allows a combination of up to four subtasks (and nonexposed periods) to be included, whereas the database for Stoffenmanager, separately developed under the permission of the legal owner of Stoffenmanager, permits the use of only one task to predict exposure estimates. Thus, it would be most appropriate to compare full-shift measurements against ART predictions (full shift including nonexposed periods) and task-based measurements against task-based Stoffenmanager predictions. For liquids with VP > 10 Pa category, Stoffenmanager®v4.5 appeared to be reasonably accurate and robust when predicting exposures [percentage of measurements exceeding the tool's 90th percentile estimate (%M > T) was 15%]. Areas that could potentially be improved include ESs involving the task of handling of liquids on large surfaces or large work pieces, allocation of high and medium VP inputs, and absence of local exhaust ventilation input. Although the ART's median predictions appeared to be reasonably accurate for liquids with VP > 10 Pa, the %M > T for the 90th percentile estimates was 41%, indicating that variance in exposure levels is underestimated by ART. The %M > T using the estimates of the upper value of 90% confidence interval (CI) of the 90th percentile estimate (UCI90) was considerably reduced to 18% for liquids with VP > 10 Pa. On the basis of this observation, users might be to consider using the upper limit value of 90% CI of the 90th percentile estimate for predicting reasonable worst case situations. Nevertheless, for some activities and input parameters, ART still shows areas to be improved. Hence, it is suggested that ART developers review the assumptions in relation to exposure variability within the tool, toward improving the tool performance in estimating percentile exposure levels. In addition, for both tools, only some handling/activity descriptions and input parameters were considered. Thus, further validation studies are still necessary.

Identifiants

pubmed: 30535049
pii: 5236819
doi: 10.1093/annweh/wxy098
pmc: PMC6939284
doi:

Substances chimiques

Air Pollutants, Occupational 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

230-241

Informations de copyright

Published by Oxford University Press on behalf of The British Occupational Hygiene Society 2018.

Références

J Environ Monit. 2011 May;13(5):1374-82
pubmed: 21403945
Ann Occup Hyg. 2011 Nov;55(9):980-8
pubmed: 22080162
Ann Occup Hyg. 2006 Jun;50(4):343-57
pubmed: 16513810
Ann Work Expo Health. 2017 Oct 1;61(8):921-938
pubmed: 29028246
Ann Occup Hyg. 2011 Nov;55(9):949-56
pubmed: 22080161
Ann Occup Hyg. 2013 Jul;57(6):717-27
pubmed: 23307863
Ann Occup Hyg. 2015 Aug;59(7):821-35
pubmed: 25858432
Ann Work Expo Health. 2019 Feb 16;63(2):218-229
pubmed: 30534938
Regul Toxicol Pharmacol. 2010 Oct;58(1):64-71
pubmed: 20394791
Ann Occup Hyg. 2012 May;56(4):426-39
pubmed: 22064766
Ann Occup Hyg. 2008 Aug;52(6):443-54
pubmed: 18621742
Ann Occup Hyg. 2014 May;58(4):450-68
pubmed: 24449808
Ann Occup Hyg. 2013 Mar;57(2):210-20
pubmed: 23002273
Ann Occup Hyg. 2014 Jun;58(5):551-65
pubmed: 24665110
Ann Occup Hyg. 2011 Nov;55(9):957-79
pubmed: 22003239
Ann Work Expo Health. 2017 Oct 1;61(8):954-964
pubmed: 29028254
Ann Work Expo Health. 2017 Apr 1;61(3):284-298
pubmed: 28355416
Ann Occup Hyg. 1993 Jun;37(3):253-70
pubmed: 8346874
Ann Occup Hyg. 2008 Aug;52(6):429-41
pubmed: 18587140
Occup Environ Med. 2010 Feb;67(2):125-32
pubmed: 19773280
Ann Occup Hyg. 2011 Nov;55(9):1006-15
pubmed: 22021819

Auteurs

Eun Gyung Lee (EG)

Exposure Assessment Branch (EAB), Health Effects Laboratory Division (HELD), National Institute for Occupational Safety and Health (NIOSH), 1095 Willowdale Road, Morgantown, WV, USA.

Judith Lamb (J)

Institute of Occupational Medicine (IOM), Avenue North, Heriot Watt Research Park, Riccarton, Edinburgh, UK.

Nenad Savic (N)

Institute for Work and Health (IST), University of Lausanne and Geneva, Epalinges-Lausanne, Switzerland.

Ioannis Basinas (I)

Institute of Occupational Medicine (IOM), Avenue North, Heriot Watt Research Park, Riccarton, Edinburgh, UK.

Bojan Gasic (B)

Swiss State Secretariat for Economic Affairs (SECO), Bern, Switzerland.

Christian Jung (C)

Federal Institute for Occupational Safety and Health (BAuA), Dortmund, Germany.

Michael L Kashon (ML)

Biostatistics and Epidemiology Branch, Health Effects Laboratory Division (HELD), National Institute for Occupational Safety and Health (NIOSH), Morgantown, WV, USA.

Jongwoon Kim (J)

Korea Institute of Science and Technology (KIST) Europe, Saarbrücken, Germany.

Martin Tischer (M)

Federal Institute for Occupational Safety and Health (BAuA), Dortmund, Germany.

Martie van Tongeren (M)

Institute of Occupational Medicine (IOM), Avenue North, Heriot Watt Research Park, Riccarton, Edinburgh, UK.

David Vernez (D)

Institute for Work and Health (IST), University of Lausanne and Geneva, Epalinges-Lausanne, Switzerland.

Martin Harper (M)

Exposure Assessment Branch (EAB), Health Effects Laboratory Division (HELD), National Institute for Occupational Safety and Health (NIOSH), 1095 Willowdale Road, Morgantown, WV, USA.

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Classifications MeSH