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Assessing Measurement Invariance of a Land Use Environment Construct Across Levels of Urbanicity.
Meeker, Melissa A; Schwartz, Brian S; Bandeen-Roche, Karen; Hirsch, Annemarie G; De Silva, S Shanika A; McAlexander, Tara P; Black, Nyesha C; McClure, Leslie A.
Afiliação
  • Meeker MA; Department of Epidemiology and Biostatistics Drexel University Dornsife School of Public Health Philadelphia PA USA.
  • Schwartz BS; Department of Population Health Sciences Geisinger Danville PA USA.
  • Bandeen-Roche K; Department of Environmental Health and Engineering Johns Hopkins Bloomberg School of Public Health Baltimore MD USA.
  • Hirsch AG; Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore MD USA.
  • De Silva SSA; Department of Population Health Sciences Geisinger Danville PA USA.
  • McAlexander TP; Department of Epidemiology and Biostatistics Drexel University Dornsife School of Public Health Philadelphia PA USA.
  • Black NC; Department of Epidemiology and Biostatistics Drexel University Dornsife School of Public Health Philadelphia PA USA.
  • McClure LA; Noire Analytics, LLC Birmingham AL USA.
Geohealth ; 6(10): e2022GH000667, 2022 Oct.
Article em En | MEDLINE | ID: mdl-36262526
ABSTRACT
Variation in the land use environment (LUE) impacts the continuum of walkability to car dependency, which has been shown to have effects on health outcomes. Existing objective measures of the LUE do not consider whether the measurement of the construct varies across different types of communities along the rural/urban spectrum. To help meet the goals of the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, we developed a national, census tract-level LUE measure which evaluates the road network and land development. We tested for measurement invariance by LEAD community type (higher density urban, lower density urban, suburban/small town, and rural) using multiple group confirmatory factor analysis. We determined that metric invariance does not exist; thus, measurement of the LUE does vary across community type with average block length, average block size, and percent developed land driving most shared variability in rural tracts and with intersection density, street connectivity, household density, and commercial establishment density driving most shared variability in higher density urban tracts. As a result, epidemiologic studies need to consider community type when assessing the LUE to minimize place-based confounding.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article