Importance: Identifying risk factors for brain atrophy during the aging process can help direct new preventive approaches for dementia and cognitive decline. The association of neighborhood socioeconomic disadvantage with brain volume in this context is not well known.
Objective: To test whether neighborhood-level socioeconomic disadvantage is associated with decreased brain volume in a cognitively unimpaired population enriched for Alzheimer disease risk.
Design, Setting, And Participants: This study, conducted from January 6, 2010, to January 17, 2019, at an academic research neuroimaging center, used cross-sectional data on 951 participants from 2 large, ongoing cohort studies of Alzheimer disease (Wisconsin Registry for Alzheimer's Prevention and Wisconsin Alzheimer's Disease Research Center clinical cohort). Participants were cognitively unimpaired based on National Institute on Aging-Alzheimer's Association workgroup diagnostic criteria for mild cognitive impairment and Alzheimer disease, confirmed through a consensus diagnosis panel. The cohort was enriched for Alzheimer disease risk based on family history of dementia. Statistical analysis was performed from April 3 to September 27, 2019.
Main Outcomes And Measures: The Area Deprivation Index, a geospatially determined index of neighborhood-level disadvantage, and cardiovascular disease risk indices were calculated for each participant. Linear regression models were fitted to test associations between relative neighborhood-level disadvantage (highest 20% based on state of residence) and hippocampal and total brain tissue volume, as assessed by magnetic resonance imaging.
Results: In the primary analysis of 951 participants (637 women [67.0%]; mean [SD] age, 63.9 [8.1] years), living in the 20% most disadvantaged neighborhoods was associated with 4.1% lower hippocampal volume (β = -317.44; 95% CI, -543.32 to -91.56; P = .006) and 2.0% lower total brain tissue volume (β = -20 959.67; 95% CI, -37 611.92 to -4307.43; P = .01), after controlling for intracranial volume, individual-level educational attainment, age, and sex. Robust propensity score-matched analyses determined that this association was not due to racial/ethnic or demographic characteristics. Cardiovascular risk score, examined in a subsample of 893 participants, mediated this association for total brain tissue but not for hippocampal volume.
Conclusions And Relevance: For cognitively unimpaired individuals, living in the most disadvantaged neighborhoods was associated with significantly lower cerebral volumes, after controlling for maximal premorbid (total intracranial) volume. This finding suggests an association of community socioeconomic context, distinct from individual-level socioeconomic status, with brain volume during aging. Cardiovascular risk mediated this association for total brain tissue volume but not for hippocampal volume, suggesting that neighborhood-level disadvantage may be associated with these 2 outcomes via distinct biological pathways.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6990953 | PMC |
http://dx.doi.org/10.1001/jamaneurol.2019.4501 | DOI Listing |
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn
January 2025
Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Greater neighborhood disadvantage is associated with poorer global cognition. However, less is known about the variation in the magnitude of neighborhood effects across individual cognitive domains and whether the strength of these associations differs by individual-level factors. The current study investigated these questions in a community sample of older adults ( = 166, mean age = 72.
View Article and Find Full Text PDFKidney Med
November 2024
Department of Medicine, University of Illinois Chicago, Chicago, IL.
Rationale & Objective: In the general population, neighborhood socioeconomic status (SES) has been found to be associated with cardiovascular risk, but this relationship has not been well studied among patients with chronic kidney disease (CKD). This study seeked to evaluate the association between neighborhood SES and cardiovascular outcomes in a CKD cohort.
Study Design: Multicenter prospective cohort.
Neurology
February 2025
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Background And Objectives: Multiple sclerosis (MS)-related disability in Hispanic people with MS is associated with inequities in social determinants of health (SDOH) as measured by composite indices of areal-level census data. Studies of individual-level measures of SDOH are lacking. This study examined the separate and joint effects of person-centered SDOH indicators and an area-level composite on MS disability measures.
View Article and Find Full Text PDFJ Urban Health
January 2025
Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
Chronological age is not an accurate predictor of morbidity and mortality risk, as individuals' aging processes are diverse. Phenotypic age acceleration (PhenoAgeAccel) is a validated biological age measure incorporating chronological age and biomarkers from blood samples commonly used in clinical practice that can better reflect aging-related morbidity and mortality risk. The heterogeneity of age-related decline is not random, as environmental exposures can promote or impede healthy aging.
View Article and Find Full Text PDFCancer Epidemiol Biomarkers Prev
January 2025
Memorial Sloan Kettering Cancer Center, New York, United States.
Background: To evaluate the impact of Hispanic ethnic enclaves (EE) on the relationship between neighborhood disadvantage and overall survival (OS) in breast cancer (BCa) patients.
Methods: Data from BCa patients with stage I-IV disease diagnosed between 2005-2017 was used to analyze the effects of Area Deprivation Index (ADI) scores, a measure of neighborhood disadvantage, and census-tract level Hispanic density, a measure of EE, on OS using mixed-effects Cox regression models. The final model included the following individual-level factors (age, income, race, Hispanic/Latino origin, nativity, insurance status, and comorbidities (hypertension, diabetes, and body mass index) and clinical factors (National Comprehensive Cancer Network guideline-concordant treatment, stage, and receptor subtype).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!