Literature DB >> 7635112

The relationship between environmental monitoring and biological markers in exposure assessment.

S M Rappaport1, E Symanski, J W Yager, L L Kupper.   

Abstract

The poor quality of traditional assessments of exposure has encouraged epidemiologists to explore biological monitoring in studies of chronic diseases. Yet, despite theoretical advantages, biomarkers have not been widely used in such applications. This article compares the general utility of a biomarker with that of the measurement of exposure per se. Points are illustrated with a longitudinal study of boat workers in which levels of styrene in the breathing zone and in exhaled air were compared to sister chromatid exchanges (SCEs) in peripheral lymphocytes. First, the linear relationship is explored between personal exposure and the levels of a biomarker in the cohort. A good fit to the straight-line relationship reflected by a correlation coefficient which is close to 1, such as observed with styrene in exhaled air (r2 = 0.83), suggests linear kinetics, that the appropriate route of exposure was measured by personal monitoring, small interindividual differences, adequate sample sizes, and a specific biomarker. However, a small correlation coefficient, as observed between SCEs and styrene exposure (r2 = 0.11), indicates that either kinetics were nonlinear or that more complex issues were involved with one or more of these factors. Second, environmental and biologic measurements are compared for use as independent variables in establishing a straight-line relationship between exposure and the health effect. If the ratio of the within-person to the between-person components of variance of the independent variable is large, then significant attenuation results when estimating the slope of the line.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7635112      PMCID: PMC1519016          DOI: 10.1289/ehp.95103s349

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  8 in total

Review 1.  The genetic toxicology of styrene and styrene oxide.

Authors:  R Barale
Journal:  Mutat Res       Date:  1991-03       Impact factor: 2.433

Review 2.  Assessment of long-term exposures to toxic substances in air.

Authors:  S M Rappaport
Journal:  Ann Occup Hyg       Date:  1991-02

3.  Sister-chromatid exchanges in lymphocytes are increased in relation to longitudinally measured occupational exposure to low concentrations of styrene.

Authors:  J W Yager; W M Paradisin; S M Rappaport
Journal:  Mutat Res       Date:  1993-11       Impact factor: 2.433

4.  Personnel monitoring for tetraalkyl lead in the workplace.

Authors:  R F Cope; B P Pancamo; W E Rinehart; G L Ter Haar
Journal:  Am Ind Hyg Assoc J       Date:  1979-05

5.  Variability of exposure measurements in environmental epidemiology.

Authors:  B Brunekreef; D Noy; P Clausing
Journal:  Am J Epidemiol       Date:  1987-05       Impact factor: 4.897

6.  Biological considerations in assessing exposures to genotoxic and carcinogenic agents.

Authors:  S M Rappaport
Journal:  Int Arch Occup Environ Health       Date:  1993       Impact factor: 3.015

7.  Smoothing of exposure variability at the receptor: implications for health standards.

Authors:  S M Rappaport
Journal:  Ann Occup Hyg       Date:  1985

Review 8.  Review of the toxicology of styrene.

Authors:  J A Bond
Journal:  Crit Rev Toxicol       Date:  1989       Impact factor: 5.635

  8 in total
  19 in total

1.  Assessment of occupational exposures in a general population: comparison of different methods.

Authors:  E Tielemans; D Heederik; A Burdorf; R Vermeulen; H Veulemans; H Kromhout; K Hartog
Journal:  Occup Environ Med       Date:  1999-03       Impact factor: 4.402

2.  Evaluation of occupational exposure: comparison of biological and environmental variabilities using physiologically based toxicokinetic modeling.

Authors:  G Truchon; R Tardif; G Charest-Tardif; A de Batz; P O Droz
Journal:  Int Arch Occup Environ Health       Date:  2012-03-13       Impact factor: 3.015

3.  Exterior exposure estimation using a one-compartment toxicokinetic model with blood sample measurements.

Authors:  Chu-Chih Chen; Meng-Chiuan Shih; Kuen-Yuh Wu; Pranab K Sen
Journal:  J Math Biol       Date:  2007-09-25       Impact factor: 2.259

4.  Can we explain the exposure variability found in hand-arm vibrations when using angle grinders? A round robin laboratory study.

Authors:  I Liljelind; J Wahlström; L Nilsson; M Persson; T Nilsson
Journal:  Int Arch Occup Environ Health       Date:  2009-12-05       Impact factor: 3.015

5.  Prenatal exposure to phenols and growth in boys.

Authors:  Claire Philippat; Jérémie Botton; Antonia M Calafat; Xiaoyun Ye; Marie-Aline Charles; Rémy Slama
Journal:  Epidemiology       Date:  2014-09       Impact factor: 4.822

6.  Biomarker variance component estimation for exposure surrogate selection and toxicokinetic inference.

Authors:  Jon R Sobus; Joachim D Pleil; Michael D McClean; Robert F Herrick; Stephen M Rappaport
Journal:  Toxicol Lett       Date:  2010-09-22       Impact factor: 4.372

7.  Air samples versus biomarkers for epidemiology.

Authors:  Y S Lin; L L Kupper; S M Rappaport
Journal:  Occup Environ Med       Date:  2005-11       Impact factor: 4.402

8.  Association between gestational urinary bisphenol a concentrations and adiposity in young children: The MIREC study.

Authors:  Joseph M Braun; Nan Li; Tye E Arbuckle; Linda Dodds; Isabelle Massarelli; William D Fraser; Bruce P Lanphear; Gina Muckle
Journal:  Environ Res       Date:  2019-02-26       Impact factor: 6.498

9.  Exposure assessment of monoterpenes and styrene: a comparison of air sampling and biomonitoring.

Authors:  I Liljelind; S Rappaport; K Eriksson; J Andersson; I A Bergdahl; A-L Sunesson; B Järvholm
Journal:  Occup Environ Med       Date:  2003-08       Impact factor: 4.402

10.  An Empirical Validation of the Within-subject Biospecimens Pooling Approach to Minimize Exposure Misclassification in Biomarker-based Studies.

Authors:  Céline Vernet; Claire Philippat; Lydiane Agier; Antonia M Calafat; Xiaoyun Ye; Sarah Lyon-Caen; Pierre Hainaut; Valérie Siroux; Enrique F Schisterman; Rémy Slama
Journal:  Epidemiology       Date:  2019-09       Impact factor: 4.822

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