Exposure Estimation and Interpretation of Occupational Risk: Enhanced Information for the Occupational Risk Manager

The fundamental goal of this article is to describe, define, and analyze the components of the risk characterization process for occupational exposures. Current methods are described for the probabilistic characterization of exposure, including newer techniques that have increasing applications for assessing data from occupational exposure scenarios. In addition, since the probability of health effects reflects variability in the exposure estimate as well as the dose-response curve—the integrated considerations of variability surrounding both components of the risk characterization provide greater information to the occupational hygienist. Probabilistic tools provide a more informed view of exposure as compared to use of discrete point estimates for these inputs to the risk characterization process. Active use of such tools for exposure and risk assessment will lead to a scientifically supported worker health protection program. Understanding the bases for an occupational risk assessment, focusing on important sources of variability and uncertainty enables characterizing occupational risk in terms of a probability, rather than a binary decision of acceptable risk or unacceptable risk. A critical review of existing methods highlights several conclusions: (1) exposure estimates and the dose-response are impacted by both variability and uncertainty and a well-developed risk characterization reflects and communicates this consideration; (2) occupational risk is probabilistic in nature and most accurately considered as a distribution, not a point estimate; and (3) occupational hygienists have a variety of tools available to incorporate concepts of risk characterization into occupational health and practice.

[1]  Jeremy E. Oakley,et al.  Uncertain Judgements: Eliciting Experts' Probabilities , 2006 .

[2]  William H. Bullock,et al.  A Strategy for Assessing and Managing Occupational Exposures, 3rd edition , 2006 .

[3]  M. Nicas,et al.  Uncertainty in exposure estimates made by modeling versus monitoring. , 2002, AIHA journal : a journal for the science of occupational and environmental health and safety.

[4]  G. H. Huang,et al.  An Interval-Parameter Fuzzy-Stochastic Programming Approach for Municipal Solid Waste Management and Planning , 2001 .

[5]  Hans Kromhout,et al.  Design of measurement strategies for workplace exposures , 2002, Occupational and environmental medicine.

[6]  Jérôme Lavoué,et al.  Testing compliance with occupational exposure limits: development of the British-Dutch guidance. , 2012, Journal of occupational and environmental hygiene.

[7]  I. Bogardi,et al.  A rule-based fuzzy-set approach to risk analysis of nitrate-contaminated groundwater , 1994 .

[8]  Timothy J. Ross,et al.  Use of Fuzzy Logic and Similarity Measures in the Risk Management of Hazardous Waste Sites , 1996 .

[9]  Stephen W. Edwards,et al.  Systems Biology and Biomarkers of Early Effects for Occupational Exposure Limit Setting , 2015, Journal of occupational and environmental hygiene.

[10]  R C Spear,et al.  Environmental versus analytical variability in exposure measurements. , 1991, American Industrial Hygiene Association journal.

[11]  Dale Hattis,et al.  Empirically Observed Distributions of Pharmacokinetic and Pharmacodynamic Variability in Humans—Implications for the Derivation of Single-Point Component Uncertainty Factors Providing Equivalent Protection as Existing Reference Doses , 2016 .

[12]  H Kromhout,et al.  Variation of exposure between workers in homogeneous exposure groups. , 1993, American Industrial Hygiene Association journal.

[13]  Rogelio Tornero-Velez,et al.  Compliance versus risk in assessing occupational exposures , 1998 .

[14]  Huaicheng Guo,et al.  A Simulation-Assessment Modeling Approach for Analyzing Environmental Risks of Groundwater Contamination at Waste Landfill Sites , 2004 .

[15]  Scott Ferson,et al.  Probability bounds analysis in environmental risk assessments , 2003 .

[16]  J C Swartout,et al.  Response to Comments on “An Approach for Modeling Noncancer Dose Responses with an Emphasis on Uncertainty” and “A Probabilistic Framework for the Reference Dose (Probabilistic RfD)” , 1999, Risk analysis : an official publication of the Society for Risk Analysis.

[17]  S M Rappaport,et al.  A lognormal distribution-based exposure assessment method for unbalanced data. , 1997, The Annals of occupational hygiene.

[18]  H Kromhout,et al.  Compliance Versus Risk in Assessing Occupational Exposures , 1997, Risk analysis : an official publication of the Society for Risk Analysis.

[19]  S M Rappaport,et al.  An exposure-assessments strategy accounting for within- and between-worker sources of variability. , 1995, The Annals of occupational hygiene.

[20]  M L Dourson,et al.  An Approach for Modeling Noncancer Dose Responses with an Emphasis on Uncertainty , 1997, Risk analysis : an official publication of the Society for Risk Analysis.

[21]  A. J. Bailer,et al.  Historical Context and Recent Advances in Exposure-Response Estimation for Deriving Occupational Exposure Limits , 2015, Journal of occupational and environmental hygiene.

[22]  M A Jayjock,et al.  Quantitative level of protection offered to workers by ACGIH threshold limit values occupational exposure limits. , 2001, AIHAJ : a journal for the science of occupational and environmental health and safety.

[23]  P. Sottas,et al.  An empirical hierarchical Bayesian unification of occupational exposure assessment methods , 2009, Statistics in medicine.

[24]  D. Hattis,et al.  Evaluation of child/adult pharmacokinetic differences from a database derived from the therapeutic drug literature. , 2002, Toxicological sciences : an official journal of the Society of Toxicology.

[25]  Scott Ferson,et al.  Probability bounds analysis , 1998 .

[26]  Stephen M Rappaport,et al.  Assessing workplace exposures: turning to the past for guidance , 2009, Occupational and Environmental Medicine.

[27]  Kichard C. Henzberg,et al.  Using Categorical Regression Instead of a NOAEL to Characterize a Toxicologist's Judgment in Noncancer Risk Assessment , 1993 .

[28]  S. Ferson,et al.  Different methods are needed to propagate ignorance and variability , 1996 .

[29]  齊藤 宏之,et al.  海外研究紹介 Journal of Occupational and Environmental Hygiene , 2011 .

[30]  Michael A. Jayjock Uncertainty Analysis in the Estimation of Exposure , 1997 .

[31]  Gurumurthy Ramachandran,et al.  Effect of Training on Exposure Judgment Accuracy of Industrial Hygienists , 2012, Journal of occupational and environmental hygiene.

[32]  Robert H. Lyles,et al.  A lognormal distribution-based exposure assessment method for unbalanced data , 1997 .

[33]  Division on Earth Toxicity Testing in the 21st Century: A Vision and a Strategy , 2007 .

[34]  M L Dourson,et al.  Categorical regression of toxicity data: a case study using aldicarb. , 1997, Regulatory toxicology and pharmacology : RTP.

[35]  G. Ramachandran,et al.  A Bayesian approach to retrospective exposure assessment. , 1999, Applied occupational and environmental hygiene.

[36]  Etienne Kerre,et al.  The impact of fuzzy set theory on contemporary mathematics [survey] , 2011 .

[37]  A. Maier,et al.  The Scientific Basis of Uncertainty Factors Used in Setting Occupational Exposure Limits , 2015, Journal of occupational and environmental hygiene.

[38]  Sudipto Banerjee,et al.  Rating Exposure Control Using Bayesian Decision Analysis , 2006, Journal of occupational and environmental hygiene.

[39]  Andrew Maier,et al.  Noncancer Risk Assessment: Principles and Practice in Environmental and Occupational Settings , 2012 .

[40]  Hans Kromhout,et al.  Advanced REACH Tool (ART): calibration of the mechanistic model. , 2011, Journal of environmental monitoring : JEM.

[41]  Steven K. Gibb Toxicity testing in the 21st century: a vision and a strategy. , 2008, Reproductive toxicology.

[42]  R. C. Hertzberg,et al.  Using categorical regression instead of a NOAEL to characterize a toxicologist's judgment in noncancer risk assessment , 1993, 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis.

[43]  J. Charles Kerkering,et al.  Eliciting and Analyzing Expert Judgment, A Practical Guide , 2002, Technometrics.

[44]  S M Rappaport,et al.  On the importance of exposure variability to the doses of volatile organic compounds. , 2004, Toxicological sciences : an official journal of the Society of Toxicology.

[45]  Hans Kromhout,et al.  Advanced REACH Tool (ART): overview of version 1.0 and research needs. , 2011, The Annals of occupational hygiene.

[46]  J. Aitchison,et al.  The lognormal distribution : with special reference to its uses in economics , 1957 .

[47]  H. Christopher Frey,et al.  Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and Inputs , 1999 .

[48]  Jonathan I Levy,et al.  Science and Decisions: Advancing Risk Assessment , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[49]  Refractor Uncertainty , 2001, The Lancet.

[50]  Sandra J. S. Baird,et al.  Noncancer Risk Assessment: A Probabilistic Alternative to Current Practice , 1996 .

[51]  Robert Goble,et al.  A STRAW MAN PROPOSAL FOR A QUANTITATIVE DEFINITION OF THE RfD , 2002, Drug and chemical toxicology.

[52]  J. Mulhausen,et al.  A strategy for assessing and managing occupational exposures , 1998 .

[53]  Didier Dubois,et al.  Joint Propagation and Exploitation of Probabilistic and Possibilistic Information in Risk Assessment , 2006, IEEE Transactions on Fuzzy Systems.

[54]  Fumie Yokota,et al.  Value of Information Analysis in Environmental Health Risk Management Decisions: Past, Present, and Future , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[55]  Gurumurthy Ramachandran,et al.  Effect of training, education, professional experience, and need for cognition on accuracy of exposure assessment decision-making. , 2012, The Annals of occupational hygiene.

[56]  Sudipto Banerjee,et al.  Desktop Study of Occupational Exposure Judgments: Do Education and Experience Influence Accuracy? , 2011, Journal of occupational and environmental hygiene.

[57]  M L Dourson,et al.  Health risk above the reference dose for multiple chemicals. , 1999, Regulatory toxicology and pharmacology : RTP.

[58]  M L Dourson,et al.  Regulatory history and experimental support of uncertainty (safety) factors. , 1983, Regulatory toxicology and pharmacology : RTP.

[59]  H Kromhout,et al.  Assessment of long-term exposures to toxic substances in air. , 1991, The Annals of occupational hygiene.

[60]  H Kromhout,et al.  Individual-based and group-based occupational exposure assessment: some equations to evaluate different strategies. , 1998, The Annals of occupational hygiene.