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Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability

BACKGROUND: The National Children’s Study is the most ambitious study ever attempted in the United States to assess how environmental factors impact child health and development. It aims to follow 100,000 children from gestation until 21 years of age. Success requires breaking new interdisciplinary...

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Autores principales: Downs, Timothy J., Ogneva-Himmelberger, Yelena, Aupont, Onesky, Wang, Yangyang, Raj, Ann, Zimmerman, Paula, Goble, Robert, Taylor, Octavia, Churchill, Linda, Lemay, Celeste, McLaughlin, Thomas, Felice, Marianne
Formato: Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944096/
https://www.ncbi.nlm.nih.gov/pubmed/20211802
http://dx.doi.org/10.1289/ehp.0901315
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author Downs, Timothy J.
Ogneva-Himmelberger, Yelena
Aupont, Onesky
Wang, Yangyang
Raj, Ann
Zimmerman, Paula
Goble, Robert
Taylor, Octavia
Churchill, Linda
Lemay, Celeste
McLaughlin, Thomas
Felice, Marianne
author_facet Downs, Timothy J.
Ogneva-Himmelberger, Yelena
Aupont, Onesky
Wang, Yangyang
Raj, Ann
Zimmerman, Paula
Goble, Robert
Taylor, Octavia
Churchill, Linda
Lemay, Celeste
McLaughlin, Thomas
Felice, Marianne
author_sort Downs, Timothy J.
collection PubMed
description BACKGROUND: The National Children’s Study is the most ambitious study ever attempted in the United States to assess how environmental factors impact child health and development. It aims to follow 100,000 children from gestation until 21 years of age. Success requires breaking new interdisciplinary ground, starting with how to select the sample of > 1,000 children in each of 105 study sites; no standardized protocol exists for stratification of the target population by factoring in the diverse environments it inhabits. Worcester County, Massachusetts, like other sites, stratifies according to local conditions and local knowledge, subject to probability sampling rules. OBJECTIVES: We answer the following questions: How do we divide Worcester County into viable strata that represent its health-relevant environmental and sociodemographic heterogeneity, subject to sampling rules? What potential does our approach have to inform stratification at other sites? RESULTS: We developed a multivariable, vulnerability-based method for spatial sampling consisting of two descriptive indices: a hazards/stressors exposure index (comprising three proxy variables), and an adaptive capacity/sociodemographic character index (five variables). Multivariable, health-relevant stratification at the start of the study may improve detection power for environment–child health associations down the line. Eighteen strata capture countywide heterogeneity in the indices and have optimal relative homogeneity within each. They achieve comparable expected birth counts and conform to local concepts of space. CONCLUSION: The approach offers moderate to high potential to inform other sites, limited by intersite differences in data availability, geodemographics, and technical capacity. Energetic community engagement from the start promotes local stratification coherence, plus vital researcher–community trust and co-ownership for sustainability.
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spelling pubmed-29440962010-10-05 Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability Downs, Timothy J. Ogneva-Himmelberger, Yelena Aupont, Onesky Wang, Yangyang Raj, Ann Zimmerman, Paula Goble, Robert Taylor, Octavia Churchill, Linda Lemay, Celeste McLaughlin, Thomas Felice, Marianne Environ Health Perspect Research BACKGROUND: The National Children’s Study is the most ambitious study ever attempted in the United States to assess how environmental factors impact child health and development. It aims to follow 100,000 children from gestation until 21 years of age. Success requires breaking new interdisciplinary ground, starting with how to select the sample of > 1,000 children in each of 105 study sites; no standardized protocol exists for stratification of the target population by factoring in the diverse environments it inhabits. Worcester County, Massachusetts, like other sites, stratifies according to local conditions and local knowledge, subject to probability sampling rules. OBJECTIVES: We answer the following questions: How do we divide Worcester County into viable strata that represent its health-relevant environmental and sociodemographic heterogeneity, subject to sampling rules? What potential does our approach have to inform stratification at other sites? RESULTS: We developed a multivariable, vulnerability-based method for spatial sampling consisting of two descriptive indices: a hazards/stressors exposure index (comprising three proxy variables), and an adaptive capacity/sociodemographic character index (five variables). Multivariable, health-relevant stratification at the start of the study may improve detection power for environment–child health associations down the line. Eighteen strata capture countywide heterogeneity in the indices and have optimal relative homogeneity within each. They achieve comparable expected birth counts and conform to local concepts of space. CONCLUSION: The approach offers moderate to high potential to inform other sites, limited by intersite differences in data availability, geodemographics, and technical capacity. Energetic community engagement from the start promotes local stratification coherence, plus vital researcher–community trust and co-ownership for sustainability. National Institute of Environmental Health Sciences 2010-09 2010-03-08 /pmc/articles/PMC2944096/ /pubmed/20211802 http://dx.doi.org/10.1289/ehp.0901315 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
Downs, Timothy J.
Ogneva-Himmelberger, Yelena
Aupont, Onesky
Wang, Yangyang
Raj, Ann
Zimmerman, Paula
Goble, Robert
Taylor, Octavia
Churchill, Linda
Lemay, Celeste
McLaughlin, Thomas
Felice, Marianne
Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability
title Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability
title_full Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability
title_fullStr Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability
title_full_unstemmed Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability
title_short Vulnerability-Based Spatial Sampling Stratification for the National Children’s Study, Worcester County, Massachusetts: Capturing Health-Relevant Environmental and Sociodemographic Variability
title_sort vulnerability-based spatial sampling stratification for the national children’s study, worcester county, massachusetts: capturing health-relevant environmental and sociodemographic variability
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2944096/
https://www.ncbi.nlm.nih.gov/pubmed/20211802
http://dx.doi.org/10.1289/ehp.0901315
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