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Design Issues in Small-Area Studies of Environment and Health

BACKGROUND: Small-area studies are part of the tradition of spatial epidemiology, which is concerned with the analysis of geographic patterns of disease with respect to environmental, demographic, socioeconomic, and other factors. We focus on etiologic research, where the aim is to make inferences a...

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Autores principales: Elliott, Paul, Savitz, David A.
Formato: Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2516594/
https://www.ncbi.nlm.nih.gov/pubmed/18709174
http://dx.doi.org/10.1289/ehp.10817
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author Elliott, Paul
Savitz, David A.
author_facet Elliott, Paul
Savitz, David A.
author_sort Elliott, Paul
collection PubMed
description BACKGROUND: Small-area studies are part of the tradition of spatial epidemiology, which is concerned with the analysis of geographic patterns of disease with respect to environmental, demographic, socioeconomic, and other factors. We focus on etiologic research, where the aim is to make inferences about spatially varying environmental factors influencing the risk of disease. METHODS AND RESULTS: We illustrate the approach through three exemplars: a) magnetic fields from overhead electric power lines and the occurrence of childhood leukemia, which illustrates the use of geographic information systems to focus on areas with high exposure prevalence; b) drinking-water disinfection by-products and reproductive outcomes, taking advantage of large between- to within-area variability in exposures from the water supply; and c) chronic exposure to air pollutants and cardiorespiratory health, where issues of socioeconomic confounding are particularly important. DISCUSSION: The small-area epidemiologic approach assigns exposure estimates to individuals based on location of residence or other geographic variables such as workplace or school. In this way, large populations can be studied, increasing the ability to investigate rare exposures or rare diseases. The approach is most effective when there is well-defined exposure variation across geographic units, limited within-area variation, and good control for potential confounding across areas. CONCLUSIONS: In conjunction with traditional individual-based approaches, small-area studies offer a valuable addition to the armamentarium of the environmental epidemiologist. Modeling of exposure patterns coupled with collection of individual-level data on subsamples of the population should lead to improved risk estimates (i.e., less potential for bias) and help strengthen etiologic inference.
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spelling pubmed-25165942008-08-15 Design Issues in Small-Area Studies of Environment and Health Elliott, Paul Savitz, David A. Environ Health Perspect Research BACKGROUND: Small-area studies are part of the tradition of spatial epidemiology, which is concerned with the analysis of geographic patterns of disease with respect to environmental, demographic, socioeconomic, and other factors. We focus on etiologic research, where the aim is to make inferences about spatially varying environmental factors influencing the risk of disease. METHODS AND RESULTS: We illustrate the approach through three exemplars: a) magnetic fields from overhead electric power lines and the occurrence of childhood leukemia, which illustrates the use of geographic information systems to focus on areas with high exposure prevalence; b) drinking-water disinfection by-products and reproductive outcomes, taking advantage of large between- to within-area variability in exposures from the water supply; and c) chronic exposure to air pollutants and cardiorespiratory health, where issues of socioeconomic confounding are particularly important. DISCUSSION: The small-area epidemiologic approach assigns exposure estimates to individuals based on location of residence or other geographic variables such as workplace or school. In this way, large populations can be studied, increasing the ability to investigate rare exposures or rare diseases. The approach is most effective when there is well-defined exposure variation across geographic units, limited within-area variation, and good control for potential confounding across areas. CONCLUSIONS: In conjunction with traditional individual-based approaches, small-area studies offer a valuable addition to the armamentarium of the environmental epidemiologist. Modeling of exposure patterns coupled with collection of individual-level data on subsamples of the population should lead to improved risk estimates (i.e., less potential for bias) and help strengthen etiologic inference. National Institute of Environmental Health Sciences 2008-08 2008-04-25 /pmc/articles/PMC2516594/ /pubmed/18709174 http://dx.doi.org/10.1289/ehp.10817 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Research
Elliott, Paul
Savitz, David A.
Design Issues in Small-Area Studies of Environment and Health
title Design Issues in Small-Area Studies of Environment and Health
title_full Design Issues in Small-Area Studies of Environment and Health
title_fullStr Design Issues in Small-Area Studies of Environment and Health
title_full_unstemmed Design Issues in Small-Area Studies of Environment and Health
title_short Design Issues in Small-Area Studies of Environment and Health
title_sort design issues in small-area studies of environment and health
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2516594/
https://www.ncbi.nlm.nih.gov/pubmed/18709174
http://dx.doi.org/10.1289/ehp.10817
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