Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
The purpose of this study was to reduce the dimensionality of a set of neighborhood-level variables collected on participants in the Multi-Ethnic Study of Atherosclerosis (MESA) while appropriately accounting for the spatial structure of the data. A common spatial factor analysis model in the Bayesian setting was utilized in order to properly characterize dependencies in the data. Results suggest that use of the spatial factor model can result in more precise estimation of factor scores, improved insight into the spatial patterns in the data, and the ability to more accurately assess associations between the neighborhood environment and health outcomes.
A common spatial factor analysis model for measured neighborhood-level characteristics: The Multi-Ethnic Study of Atherosclerosis
Creators
Rachel C. Nethery - University of North Carolina at Chapel Hill
Joshua L. Warren - Yale University
Amy H. Herring - University of North Carolina at Chapel Hill
Kari A. B. Moore - Drexel University
Kelly R. Evenson - University of North Carolina at Chapel Hill
Ana V. Diez-Roux - Drexel University
Publication Details
Health & place, v 36
Publisher
Elsevier
Number of pages
12
Grant note
N01HC095162 / DIVISION OF EPIDEMIOLOGY AND CLINICAL APPLICATIONS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Eye Institute (NEI)
P2CHD050924 / EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
UL1RR025005 / NATIONAL CENTER FOR RESEARCH RESOURCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Research Resources (NCRR)
2R01 HL071759 / National Institutes of Health (NIH)/National Heart, Lung, and Blood Institute (NHLBI); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI)
R44HL095169 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI)
R01ES020619 / NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Environmental Health Sciences (NIEHS)
T32ES007018; R01ES020619; P30ES010126 / National Institute of Environmental Health Sciences; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Environmental Health Sciences (NIEHS)
N01-HC-95159; N01-HC-95160; N01-HC-95161; N01-HC-95162; N01-HC-95163; N01-HC-95164; N01-HC-95165; N01-HC-95166; N01-HC-95167; N01-HC-95168; N01-HC-95169 / NIH/NHLBI; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI)
UL1-RR-024156; UL1-RR-025005 / National Center for Research Resources; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Research Resources (NCRR)
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative; Epidemiology and Biostatistics
Web of Science ID
WOS:000366000700005
Scopus ID
2-s2.0-84941276465
Other Identifier
991019168967704721
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