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Journal article
Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study
Alzheimer's & dementia : diagnosis, assessment & disease monitoring, v 15(4), 12484
25 Oct 2023
PMID: 37885920
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
INTRODUCTION
We examined whether a combined measure of neighborhood greenspace and neighborhood median income was associated with white matter hyperintensity (WMH) and ventricle size changes.
METHODS
The sample included 1260 cognitively normal >= 65-year-olds with two magnetic resonance images (MRI; approximate to 5 years apart). WMH and ventricular size were graded from 0 (least) to 9 (most) abnormal (worsening = increase of >= 1 grade from initial to follow-up MRI scans). The four-category neighborhood greenspace-income measure was based on median neighborhood greenspace and income values at initial MRI. Multivariable logistic regression tested associations between neighborhood greenspace-income and MRI measures (worsening vs. not).
RESULTS
White matter grade worsening was more likely for those in lower greenspace-lower income neighborhoods than higher greenspace-higher income neighborhoods (odds ratio = 1.73; 95% confidence interval = 1.19-2.51).
DISCUSSION
The combination of lower neighborhood income and lower greenspace may be a risk factor for worsening white matter grade on MRI. However, findings need to be replicated in more diverse cohorts.HIGHLIGHTSPopulation-based cohort of older adults (>= 65 years) with greenspace and MRI dataCombined measure of neighborhood greenspace and neighborhood income at initial MRIMRI outcomes included white matter hyperintensities (WMH) and ventricular sizeLongitudinal change in MRI outcomes measured approximately 5 years apartWorsening WMH over time more likely for lower greenspace-lower income neighborhoods
Metrics
Details
- Title
- Neighborhood greenspace and neighborhood income associated with white matter grade worsening: Cardiovascular Health Study
- Creators
- Lilah M. Besser - University of MiamiGina S. Lovasi - Drexel UniversityJoyce Jimenez Zambrano - University of MiamiSimone Camacho - University of MiamiDevi Dhanekula - Florida Atlantic UniversityYvonne L. Michael - Drexel UniversityParveen Garg - University of Southern CaliforniaJana A. Hirsch - Drexel UniversityDavid Siscovick - New York Academy of MedicinePhilip M. Hurvitz - University of WashingtonMary L. Biggs - University of WashingtonJames E. Galvin - University of MiamiTraci M. Bartz - University of WashingtonW. T. Longstreth - University of Washington
- Publication Details
- Alzheimer's & dementia : diagnosis, assessment & disease monitoring, v 15(4), 12484
- Publisher
- John Wiley and Sons Inc
- Number of pages
- 11
- Grant note
- K01AG063895; R21AG075291; 3R01AG049970‐04S1; R01AG072634; R01AG040211; R01NS101483; R01AG023629 / NIH/NIA U01HL130114; U01HL080295 / ; AARG‐21‐850963 / ;
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Dana and David Dornsife School of Public Health; Epidemiology and Biostatistics
- Web of Science ID
- WOS:001086866300001
- Scopus ID
- 2-s2.0-85174863233
- Other Identifier
- 991021468423504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Neurosciences