Literature DB >> 10703849

Residence location as a measure of environmental exposure: a review of air pollution epidemiology studies.

Y L Huang1, S Batterman.   

Abstract

Residence location has long been used to indicate environmental exposure in many epidemiological studies. This indicator is easy to establish, requires little exposure or monitoring data, and is potentially applicable to many types of investigations. The validity, accuracy and utility of residence location as an exposure indicator, however, is challenged by current concerns regarding multiple exposure pathways, persistent and toxic contaminants, and cumulative exposures from non-point, mobile and point sources. This paper reviews 45 epidemiological studies that use residence location to identify study populations and estimate air pollution exposures. Thirteen (29%) of the studies determined environmental exposures based on "proximity" measures, usually the distance from a subject's residence to a pollutant source. Other studies used "zones" presumed to have equal pollutant levels. Several studies combined zone and proximity approaches. Exposures were quantified using monitoring data in 27 (60%) studies and dispersion modeling in two (4%) studies. Sixteen (36%) studies did not use any environmental data to quantify exposure. A total of 31 (69%) of the studies reported significant associations between health endpoints and the pollutant exposures represented by residence location. In general, comprehensive and systematic approaches to identify and estimate population exposures were not used, and the exposure estimates were therefore deemed likely to have great uncertainty. Unless exposure levels among groups are verified, it cannot be determined whether nonsignificant associations between exposures and health endpoints indicate a lack of measurable health effects, or are merely a result of exposure misclassification. Site-specific and quantitative exposure assessments are needed to better quantify and confirm exposures within such studies, as well as to permit interpretations and comparisons across studies.

Mesh:

Year:  2000        PMID: 10703849     DOI: 10.1038/sj.jea.7500074

Source DB:  PubMed          Journal:  J Expo Anal Environ Epidemiol        ISSN: 1053-4245


  22 in total

1.  Exposure to volatile organic compounds in residences adjacent to dyeing industrial complex.

Authors:  Wan-Kuen Jo; Jin-Woo Lee; Dong-Chun Shin
Journal:  Int Arch Occup Environ Health       Date:  2003-11-25       Impact factor: 3.015

2.  Elemental composition and source characterization of airborne PM(10) at residences with relative proximities to metal-industrial complex.

Authors:  Mo-Keun Kim; Wan-Kuen Jo
Journal:  Int Arch Occup Environ Health       Date:  2006-04-04       Impact factor: 3.015

3.  Uncertainty in epidemiology and health risk and impact assessment.

Authors:  David J Briggs; Clive E Sabel; Kayoung Lee
Journal:  Environ Geochem Health       Date:  2008-10-30       Impact factor: 4.609

4.  Residential proximity to gasoline service stations and preterm birth.

Authors:  Vicky Huppé; Yan Kestens; Nathalie Auger; Mark Daniel; Audrey Smargiassi
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-28       Impact factor: 4.223

5.  Spatial Resolution Requirements for Traffic-Related Air Pollutant Exposure Evaluations.

Authors:  Stuart Batterman; Sarah Chambliss; Vlad Isakov
Journal:  Atmos Environ (1994)       Date:  2014-09-01       Impact factor: 4.798

6.  Using smartphones to collect time-activity data for long-term personal-level air pollution exposure assessment.

Authors:  Mark L Glasgow; Carole B Rudra; Eun-Hye Yoo; Murat Demirbas; Joel Merriman; Pramod Nayak; Christina Crabtree-Ide; Adam A Szpiro; Atri Rudra; Jean Wactawski-Wende; Lina Mu
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-11-26       Impact factor: 5.563

7.  Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping.

Authors:  Maria T Patterson; Robert L Grossman
Journal:  Big Data       Date:  2017-09       Impact factor: 2.128

8.  The Near-Road Ambient Monitoring Network and Exposure Estimates for Health Studies.

Authors:  Stuart Batterman
Journal:  EM (Pittsburgh Pa)       Date:  2013-07

9.  Prediction and analysis of near-road concentrations using a reduced-form emission/dispersion model.

Authors:  Stuart A Batterman; Kai Zhang; Robert Kononowech
Journal:  Environ Health       Date:  2010-06-25       Impact factor: 5.984

10.  Residential traffic density and childhood leukemia risk.

Authors:  Julie Von Behren; Peggy Reynolds; Robert B Gunier; Rudolph P Rull; Andrew Hertz; Kevin Y Urayama; Daniel Kronish; Patricia A Buffler
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-09       Impact factor: 4.254

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.