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Showing posts with label occupatoonal. Show all posts
Showing posts with label occupatoonal. Show all posts

Wednesday, May 29, 2013

WE ALLOW WORKERS TO BEAR MUCH MORE CHEMICAL RISK THAN THE GENERAL PUBLIC

Last week I discussed the fact that for most chemicals (i.e., those NOT identified as carcinogens) quantitative risk at any exposure including the exposure limit is NOT estimated as part of any documentation describing the toxicity of those chemicals. In the case of identified carcinogens, however, a quantitative level of risk IS estimated such that some finite risk is assigned for every exposure down to zero. The “allowable” exposure for members of the general public is often set at around 1 in 100,000 or 1 in 1,000,000 extra or additional risk of getting cancer during a lifetime of exposure at this level.   The “acceptable” level set for occupational exposures to carcinogens is typically set at exposure limits which render an estimated risk around 1 in 1,000 extra or additional risk of cancer.  The natural questions are:  Where did the one in 1,000 come from?  Why is there such a large difference between workers and the general public?  Shouldn't we be just as protective of workers as we are members of the general public?   The answers are interesting and the subject of this week’s blog.

The conventional wisdom is that the 1 in 1,000 number came out of the US Supreme Court decision on the carcinogenic risk assessment and statutory (OSHA) exposure limit for benzene.  Considering a 1 in a billion risk Justice Steven’s wrote that it “clearly could not be considered significant”.   One the other hand, he offered that a one in a thousand risk of dying from inhaling vapors containing benzene “might well” be considered significant (emphasis added).   

Hence the 1 in a 1,000 level of putative risk became the de facto standard for occupational carcinogens.   It turns out that the level of actuarial risk of death from occupational or on-the-job injury in the United States is somewhat higher.   See the table below which is perhaps 10 year old data from the US Bureau of Labor Statistics.  These are the actuarial working lifetime risk of death per thousand in various job classifications:

  • All private industry                             --              2.1
  • Manufacturing                                    --              1.6
  • Mining                                                 --            10.8
  • Construction                                       --               5.9
  • Finance                                               --               0.6
  • Commercial Fishing                            --             61
Readers who have watched "The Deadliest Catch" on TV will appreciate the last entry.

From my perspective, a putative risk at 1 in 1,000 for cancer using a linear dose response model described in my previous blogs fits in reasonably well with these actuarial risks. Other reason that folks have given to rationalize a higher risk for workers than the general public includes the fact that workers are normally healthier than individuals in the general populations which includes very old, very young and some critically and chronically ill individuals.   Another factor that is not typically stated but perhaps implied is that workers are deriving some financial benefit from their exposure and should thus bear some higher level risk.    Whatever the reason, the difference appears to be well inculcated as a societal norm at least in the US.  

The "gut check" for me is whether I would allow or advise my son or daughter to be occupationally exposed at any such an exposure limit - that is, an exposure that would present a putative risk of 1 in 1,000.    The answer to that question depends on the data and model used to make that determination.   Given a reasonable data set, model and a clear toxicological rationale by the experts, I would.   The problem is that these elements are often not present - which will be a topic included in next week's blog.

Next week's blog will be "Uncertainty is the Bane of the Risk Assessment Process".