Evidence map›Paper›PMID 42299687›Full record

ArticleAmerican journal of epidemiology2026

Depressive symptoms and neuroimaging markers of brain aging in an ethno-racially diverse sample: a Bayesian analysis.

Tara E Jenson, Emma L Gause, Jingxuan Wang, Sarah F Ackley, Jennifer Manly, Evan Fletcher, Paola Gilsanz, Rachel A Whitmer, M Maria Glymour, Marcia Pescador Jimenez

Abstract read
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Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Tara E JensonDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0001-7967-2800
Emma L GauseCenter for Climate and Health, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-1484-5296
Jingxuan WangDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Sarah F AckleyDepartment of Epidemiology, Brown University, Providence, RI, United States.ORCID 0000-0003-0181-6063
Jennifer ManlyDepartment of Neurology, Columbia University, New York, NY, United States.ORCID 0000-0002-9481-7497
Evan FletcherDepartment of Neurology, University of California, Davis, CA, United States.
Paola GilsanzDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, United States.ORCID 0000-0002-7635-381X
Rachel A WhitmerDepartment of Public Health Sciences and Neurology, University of California Davis School of Medicine, Davis, CA, United States.
M Maria GlymourDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0001-9644-3081
Marcia Pescador JimenezDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0001-5240-7898

Funding

Project 4: Social isolation as a driver of AD/ADRD incidence and disparitiesP01AG082653 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Paola Gilsanz, Medellena Maria Glymour · 2024 to 2026
$23.6M
Study of Healthy Aging in African AmericansR01AG050782 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Paola Gilsanz, Rachel A Whitmer · 2023 to 2026
$19.1M
Lifecourse health, cerebral pathology and ethnic disparities in dementia (KHANDLE Study)R01AG052132 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GILSANZ, PAOLA, GLYMOUR, MEDELLENA MARIA · 2021 to 2025
$18.0M
Role of Environmental Stressors as POtential drivers of Dementia and stroke RESPOnDR01NS139186 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Marcia Ixchel Pescador Jimenez · 2024 to 2026
$2.4M
NIA NIH HHS P01 AG082653NIA NIH HHS R01 AG050782NIA NIH HHS R01 AG052132NINDS NIH HHS R01 NS139186the Alzheimer's Association 23AARGD-1030259the National Institute of Neurological Disorders and Stroke R01NS139186the National Institute on Aging (NIA) R01AG052132, R01AG050782, and P01AG082653
6 · The paper itself

Abstract

Depression has been associated with magnetic resonance imaging (MRI) measures of larger white matter hyperintensity (WMH) volumes and smaller cerebral gray matter volumes (GMV) in predominantly White samples. Recent findings suggest that some race/ethnicity groups may experience more severe health consequences due to depression when it is present, compared with depression in White populations. We investigated the association of depressive symptoms with WMH and GMV by race/ethnicity, using a continuous measure of depressive symptoms to capture participants' experience of depression more expansively versus clinical diagnosis alone. A diverse sample of older, northern California Kaiser Healthy Aging and Diverse Life Experiences and the Study of Healthy Aging in African Americans participants (n = 550) underwent MRI neuroimaging 2017-2022. Baseline depressive symptoms were measured in 2017 using the National Institutes of Health Patient-Reported Outcomes Measurement Information System toolbox. We conducted a literature-informed Bayesian analysis, stratified by race/ethnicity, to examine the association between baseline depressive symptoms and post-baseline WMH and GMV. Our sample was 14% Asian, 54% Black, 16% Latino, and 17% White. Overall, we did not observe an association between depressive symptoms and log(WMH; 0.06, 95% credible interval [CrI]: -0.09, 0.22) or GMV (-0.74, 95% CrI: -1.62, 0.16). In stratified analyses, 1 SD higher depressive symptoms were associated with larger log(WMH) volume (0.21, 95% CrI: 0.002, 0.42) among Black participants and smaller GMV among Latino participants (-2.92, 95% CrI: -4.31, -1.52). Unexpectedly, depressive symptoms were associated with larger GMV in Asian participants (2.41, 95% CrI: 0.87, 3.95). More severe depressive symptoms were associated with MRI markers of brain aging among Black and Latino participants.

Indexed as

AgingBrainDepressionEthnicityAgedAged, 80 and overBayes TheoremBlack or African AmericanCaliforniaFemaleGray MatterHispanic or LatinoHumansMagnetic Resonance ImagingMaleMiddle AgedBayesian analysisbrain agingdepressiondepressive symptomologymagnetic resonance imagingolder adultsracial/ethnic groups

Identifiers

PMID42299687
PMCPMC13537852

What OpenQuestion holds

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Registered trials

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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.