Literature DB >> 12934726

Attenuation of exposure-response curves in occupational cohort studies at high exposure levels.

Leslie Stayner1, Kyle Steenland, Mustafa Dosemeci, Irva Hertz-Picciotto.   

Abstract

Numerous occupational cohort mortality studies have observed exposure-response curves to have an increasing slope at low exposure levels that attenuates or even turns negative at high exposure levels. Examples discussed in this paper include dioxin, silica, 1,3-butadiene, cadmium, beryllium, radon daughters, diesel fumes, nickel, arsenic, and hexavalent chromium. Possible explanations for this phenomenon include (i) bias introduced by the healthy worker survivor effect, (ii) a depletion of the number of susceptible people in the population at high exposure levels, (iii) a natural limit on the relative risk for diseases with a high background rate, (iv) mismeasurement or misclassification of exposures, (v) the influence of other risk factors that vary by the level of the main exposure, and (vi) the saturation of key enzyme systems or other processes involved in the development of disease.

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Year:  2003        PMID: 12934726     DOI: 10.5271/sjweh.737

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  58 in total

1.  Health effects research and regulation of diesel exhaust: an historical overview focused on lung cancer risk.

Authors:  Thomas W Hesterberg; Christopher M Long; William B Bunn; Charles A Lapin; Roger O McClellan; Peter A Valberg
Journal:  Inhal Toxicol       Date:  2012-06-04       Impact factor: 2.724

Review 2.  Smoothing in occupational cohort studies: an illustration based on penalised splines.

Authors:  E A Eisen; I Agalliu; S W Thurston; B A Coull; H Checkoway
Journal:  Occup Environ Med       Date:  2004-10       Impact factor: 4.402

3.  Deletion diagnostics for the generalised linear mixed model with independent random effects.

Authors:  B Ganguli; S Sen Roy; M Naskar; E J Malloy; E A Eisen
Journal:  Stat Med       Date:  2015-12-02       Impact factor: 2.373

4.  Healthy worker survivor bias in the Colorado Plateau uranium miners cohort.

Authors:  Alexander P Keil; David B Richardson; Melissa A Troester
Journal:  Am J Epidemiol       Date:  2015-04-01       Impact factor: 4.897

5.  Do ambient noise exposure levels predict hearing loss in a modern industrial cohort?

Authors:  P M Rabinowitz; D Galusha; C Dixon-Ernst; M D Slade; M R Cullen
Journal:  Occup Environ Med       Date:  2006-09-14       Impact factor: 4.402

6.  Reducing healthy worker survivor bias by restricting date of hire in a cohort study of Vermont granite workers.

Authors:  Katie M Applebaum; Elizabeth J Malloy; Ellen A Eisen
Journal:  Occup Environ Med       Date:  2007-04-20       Impact factor: 4.402

7.  The impact of saturable metabolism on exposure-response relations in 2 studies of benzene-induced leukemia.

Authors:  Jelle Vlaanderen; Lützen Portengen; Stephen M Rappaport; Deborah C Glass; Hans Kromhout; Roel Vermeulen
Journal:  Am J Epidemiol       Date:  2011-07-10       Impact factor: 4.897

8.  Exposure-response relationships for the ACGIH threshold limit value for hand-activity level: results from a pooled data study of carpal tunnel syndrome.

Authors:  Jay M Kapellusch; Frederic E Gerr; Elizabeth J Malloy; Arun Garg; Carisa Harris-Adamson; Stephen S Bao; Susan E Burt; Ann Marie Dale; Ellen A Eisen; Bradley A Evanoff; Kurt T Hegmann; Barbara A Silverstein; Matthew S Theise; David M Rempel
Journal:  Scand J Work Environ Health       Date:  2014-09-30       Impact factor: 5.024

Review 9.  Cadmium exposure and risk of lung cancer: a meta-analysis of cohort and case-control studies among general and occupational populations.

Authors:  Cheng Chen; Pengcheng Xun; Muneko Nishijo; Ka He
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-03-09       Impact factor: 5.563

10.  Exposure-response analysis and risk assessment for lung cancer in relationship to silica exposure: a 44-year cohort study of 34,018 workers.

Authors:  Yuewei Liu; Kyle Steenland; Yi Rong; Eva Hnizdo; Xiji Huang; Hai Zhang; Tingming Shi; Yi Sun; Tangchun Wu; Weihong Chen
Journal:  Am J Epidemiol       Date:  2013-09-15       Impact factor: 4.897

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