Vulnerability-based spatial sampling stratification for the National Children's Study, Worcester County, Massachusetts: capturing health-relevant environmental and sociodemographic variability
Authors
Downs, Timothy J.Ogneva-Himmelberger, Yelena
Aupont, Onesky
Wang, Yangyang
Raj, Ann
Zimmerman, Paula
Goble, Robert
Taylor, Octavia
Churchill, Linda C.
Lemay, Celeste A.
McLaughlin, Thomas J.
Felice, Marianne E.
UMass Chan Affiliations
Center for Health Policy and ResearchDepartment of Medicine, Division of Preventive and Behavioral Medicine
Department of Psychiatry
Department of Pediatrics
Document Type
Journal ArticlePublication Date
2010-03-10Keywords
AdolescentChild
Child Welfare
Child, Preschool
Environmental Health
Female
Humans
Infant
Infant, Newborn
Male
Massachusetts
*Socioeconomic Factors
United States
Young Adult
Pediatrics
Metadata
Show full item recordAbstract
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.Source
Environ Health Perspect. 2010 Sep;118(9):1318-25. Epub 2010 Mar 8. Link to article on publisher's siteDOI
10.1289/ehp.0901315Permanent Link to this Item
http://hdl.handle.net/20.500.14038/43115PubMed ID
20211802Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1289/ehp.0901315
