Evidence map›Paper›PMID 36262526›Full record

ArticleGeoHealth2022

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, Leslie A McClure

Abstract read
In one paragraph

Article in GeoHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Melissa A MeekerDepartment of Epidemiology and Biostatistics Drexel University Dornsife School of Public Health Philadelphia PA USA.ORCID https://orcid.org/0000-0002-6074-8315
Brian S SchwartzDepartment of Population Health Sciences Geisinger Danville PA USA.
Karen Bandeen-RocheDepartment of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore MD USA.
Annemarie G HirschDepartment of Population Health Sciences Geisinger Danville PA USA.
S Shanika A De SilvaDepartment of Epidemiology and Biostatistics Drexel University Dornsife School of Public Health Philadelphia PA USA.ORCID https://orcid.org/0000-0002-4843-3329
Tara P McAlexanderDepartment of Epidemiology and Biostatistics Drexel University Dornsife School of Public Health Philadelphia PA USA.
Nyesha C BlackNoire Analytics, LLC Birmingham AL USA.
Leslie A McClureDepartment of Epidemiology and Biostatistics Drexel University Dornsife School of Public Health Philadelphia PA USA.

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Communities Designed to Support Cardiovascular Health for Older AdultsR01AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2015 to 2018
$2.8M
NCCDPHP CDC HHS U01 DP006293NCCDPHP CDC HHS U01 DP006296NCCDPHP CDC HHS U01 DP006299NCCDPHP CDC HHS U01 DP006302NIA NIH HHS R01 AG049970NIEHS NIH HHS P30 ES013508
6 · The paper itself

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.

Indexed as

built environmentgeographic disparitiesland useurbanicityurban sprawlwalkability

Identifiers

PMID36262526
PMCPMC9576186

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.