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Assessing Measurement Invariance of a Land Use Environment Construct Across Levels of Urbanicity
Journal article   Open access   Peer reviewed

Assessing Measurement Invariance of a Land Use Environment Construct Across Levels of Urbanicity

Melissa A. Meeker, Brian S. Schwartz, Karen Bandeen‐Roche, Annemarie G. Hirsch, S. Shanika A. De Silva, Tara P. McAlexander, Nyesha C. Black and Leslie A. McClure
Geohealth, v 6(10), pp e2022GH000667-n/a
01 Oct 2022
DOI: https://doi.org/10.1029/2022GH000667
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1029/2022gh000667View
Published, Version of Record (VoR)Open Access (License Unspecified),  Open
url
https://doi.org/10.1029/2022GH000667View
Published, Version of Record (VoR) Open

Abstract

Abrupt Air atmosphere Atmosphere Interactions Atmospheric Atmospheric Composition and Structure Atmospheric Effects Atmospheric Processes Avalanches Benefit‐cost Analysis Biogeosciences built environment Climate and Interannual Variability Climate Change and Variability Climate Dynamics Climate Impact Climate Impacts Climate Interactions Climate Variability Climatology Computational Geophysics Cryosphere cryosphere interactions Decadal Ocean Variability Descriptive Disaster Risk Analysis and Assessment Earth Earth System Modeling Earthquake Ground Motions and Engineering Seismology Effusive Volcanism Explosive Volcanism General General Circulation Geodesy and Gravity geographic disparities Geohealth Geological Geospatial GIS science Global Change Global Change from Geodesy Gravity and Isostasy Hydrological Cycles and Budgets Hydrology hydrosphere Impacts of Global Change Inferential Informatics Land land use Marine Geology and Geophysics Mass Balance Modeling Mud Volcanism Natural Hazards Numerical Modeling Numerical Solutions Ocean Ocean influence of Earth rotation Ocean Monitoring with Geodetic Techniques Oceanic Oceanography Oceans Paleoceanography Physical Physical Modeling Policy Sciences Public Health Radio Oceanography Radio Science Rapid Climate Change Regional Climate Change Regional Modeling Risk Sea Constituent Fluxes Sea Interactions Sea Level Sea Level Change Seismology Solid Earth Statistical Analysis Statistical methods Surface Waves and Tides Theoretical Modeling Tsunamis and Storm Surges urban sprawl urbanicity Variations and Mean Volcanic Effects Volcanic Hazards and Risks Volcano Volcano Monitoring Volcano Seismology Volcanology walkability Water Cycles
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. Variation in the land use environment (LUE) impacts the continuum of walkability to car dependency, which has effects on health outcomes We assessed measurement invariance of a land use construct across levels of urbanicity using multiple group confirmatory factor analysis We determined that measurement of the LUE does vary across urbanicity which can lead to place‐based confounding

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23 Record Views
6 citations in Web of Science
6 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
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