Literature DB >> 18793279

Is epidemiology the key to cumulative risk assessment?

Jonathan I Levy1.   

Abstract

Although cumulative risk assessment by definition evaluates the joint effects of chemical and nonchemical stressors, studies to date have not considered both dimensions, in part because toxicological studies cannot capture many stressors of interest. Epidemiology can potentially include all relevant stressors, but developing and extracting the necessary information is challenging given some of the inherent limitations of epidemiology. In this article, I propose a conceptual framework within which epidemiological studies could be evaluated for their inclusion into cumulative risk assessment, including a problem formulation/planning and scoping step that focuses on stressors meaningful for risk management decisions, extension of the chemical mixtures framework to include nonchemical stressors, and formal consideration of vulnerability characteristics of the population. In the long term, broadening the applicability and informativeness of cumulative risk assessment will require enhanced communication and collaboration between epidemiologists and risk assessors, in which the structure of social and environmental epidemiological analyses may be informed in part by the needs of cumulative risk assessment.

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Year:  2008        PMID: 18793279     DOI: 10.1111/j.1539-6924.2008.01121.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  12 in total

1.  Characterizing Risk for Cumulative Risk Assessments.

Authors:  Margaret M MacDonell; Richard C Hertzberg; Glenn E Rice; J Michael Wright; Linda K Teuschler
Journal:  Risk Anal       Date:  2017-11-23       Impact factor: 4.000

2.  A Case Study Application of the Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP) Frameworks to Facilitate the Integration of Human Health and Ecological End Points for Cumulative Risk Assessment (CRA).

Authors:  David E Hines; Stephen W Edwards; Rory B Conolly; Annie M Jarabek
Journal:  Environ Sci Technol       Date:  2017-12-29       Impact factor: 9.028

3.  Joint effects of ambient air pollutants on pediatric asthma emergency department visits in Atlanta, 1998-2004.

Authors:  Andrea Winquist; Ellen Kirrane; Mitch Klein; Matthew Strickland; Lyndsey A Darrow; Stefanie Ebelt Sarnat; Katherine Gass; James Mulholland; Armistead Russell; Paige Tolbert
Journal:  Epidemiology       Date:  2014-09       Impact factor: 4.822

4.  Epidemiologically-informed cumulative risk hypertension models simulating the impact of changes in metal, organochlorine, and non-chemical exposures in an environmental justice community.

Authors:  Junenette L Peters; M Patricia Fabian; Jonathan I Levy
Journal:  Environ Res       Date:  2019-06-20       Impact factor: 6.498

Review 5.  Non-chemical stressors and cumulative risk assessment: an overview of current initiatives and potential air pollutant interactions.

Authors:  Ari S Lewis; Sonja N Sax; Susan C Wason; Sharan L Campleman
Journal:  Int J Environ Res Public Health       Date:  2011-06-08       Impact factor: 3.390

6.  Stress-pollution interactions: an emerging issue in children's health research.

Authors:  Catherine M Cooney
Journal:  Environ Health Perspect       Date:  2011-10       Impact factor: 9.031

7.  Integrating susceptibility into environmental policy: an analysis of the national ambient air quality standard for lead.

Authors:  Ramya Chari; Thomas A Burke; Ronald H White; Mary A Fox
Journal:  Int J Environ Res Public Health       Date:  2012-03-27       Impact factor: 3.390

8.  Using physiologically-based pharmacokinetic models to incorporate chemical and non-chemical stressors into cumulative risk assessment: a case study of pesticide exposures.

Authors:  Susan C Wason; Thomas J Smith; Melissa J Perry; Jonathan I Levy
Journal:  Int J Environ Res Public Health       Date:  2012-05-22       Impact factor: 3.390

9.  Multiple biomarker models for improved risk estimation of specific cardiovascular diseases related to metabolic syndrome: a cross-sectional study.

Authors:  Evan Coffman; Jennifer Richmond-Bryant
Journal:  Popul Health Metr       Date:  2015-03-14

10.  Evaluating uncertainty to strengthen epidemiologic data for use in human health risk assessments.

Authors:  Carol J Burns; J Michael Wright; Jennifer B Pierson; Thomas F Bateson; Igor Burstyn; Daniel A Goldstein; James E Klaunig; Thomas J Luben; Gary Mihlan; Leonard Ritter; A Robert Schnatter; J Morel Symons; Kun Don Yi
Journal:  Environ Health Perspect       Date:  2014-07-31       Impact factor: 9.031

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