Evidence map›Paper›PMID 41264891›Full record

ArticleNeurology2025

Traumatic Brain Injury and Depressive Symptoms in Community-Dwelling Older Adults: A Prospective Cohort Study.

Holly Elser, Rogan G Magee, Sabrina Abbruzzese, Danielle Sandsmark, Rebecca F Gottesman, Thomas H Mosley, David A Wolk, Andrea Lauren Christman Schneider

Abstract read
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Holly ElserDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.ORCID 0000-0003-1781-904X
Rogan G MageeDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.ORCID 0000-0003-3899-2140
Sabrina AbbruzzeseDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Danielle SandsmarkDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Rebecca F GottesmanNational Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and.ORCID 0000-0002-9504-1256
Thomas H MosleyThe MIND Center, University of Mississippi Medical Center, Jackson.ORCID 0000-0003-3343-1352
David A WolkDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.ORCID 0000-0002-3554-3481
Andrea Lauren Christman SchneiderDepartment of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia.ORCID 0000-0003-0026-5052

Funding

Establishing Mechanisms Between Traumatic Brain Injury and Dementia Using Epidemiology, Clinical Studies, Blood-Based Biomarkers, and Neuroimaging BiomarkersK23NS123340 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Andrea Lauren Christman Schneider · 2022 to 2026
$1.1M
NINDS NIH HHS K23 NS123340
6 · The paper itself

Abstract

BACKGROUND AND

objectivesMood symptoms are recognized short-term sequelae of traumatic brain injury (TBI). Research regarding depressive symptoms among older, community-based individuals with TBI is limited. Previous studies have largely focused on short-term and intermediate-term follow-up.

methodsThe Atherosclerosis Risk in Communities study is an ongoing prospective cohort study of community-dwelling adults in the United States, initially recruited from 1987 to 1989. TBI was defined using self-reported and International Classification of Diseases diagnostic codes. Participants were sampled from centers in Maryland, Minnesota, Mississippi, and North Carolina. Depressive symptoms and antidepressant prescription(s) were assessed beginning at visit 5 (2011-2013) and were analyzed as time-varying repeated outcome measures until visit 7 (2018-2019), representing a maximum follow-up interval of 9 years. We used generalized estimating equations (GEEs) with an autoregressive working correlation structure and binomial distribution with a log link to estimate risk ratios (RRs) for the association of TBI with time-varying depressive symptoms and antidepressant prescription(s), adjusting for sociodemographic characteristics including age, race and study center, income, educational attainment, and history of military service.

resultsOur analysis included 6,607 individuals who attended at least 1 study visit between visits 5 and 7. The median age was 75 years (25th-75th percentiles = 72-80). More than half were female (59.0%), and 23.7% self-identified as Black. There were 2,113 participants (32.0%) with a lifetime history of TBI, most of which were classified as mild. There were 665 individuals (10.1%) who experienced depressive symptoms and 1,225 (18.5%) with antidepressant prescriptions recorded during follow-up. In fully adjusted GEE models, TBI was associated with an increased risk of depressive symptoms (RR 1.59, 95% CI 1.37-1.85) and antidepressant use (RR 1.32, 95% CI 1.20-1.45). These results persisted in analysis of subgroups defined by age, sex, race, and participant health characteristics, regardless of TBI frequency or severity. DISCUSSION: We observed a robust and persistent association of TBI with depressive symptoms and antidepressant prescriptions in this cohort of older, community-dwelling adults regardless of participant characteristics. These results suggest that universal screening for and prompt treatment of depressive symptoms in among older adults with a history of TBI is warranted.

Indexed as

Brain Injuries, TraumaticDepressionAgedAged, 80 and overAntidepressive AgentsCohort StudiesFemaleHumansIndependent LivingMaleMiddle AgedProspective StudiesUnited StatesAntidepressive Agents

Identifiers

PMID41264891
PMCPMC12987399

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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.