Evidence map›Paper›PMID 33348181›Full record

ArticleJournal of affective disorders2021

Association of remote traumatic brain injury and military employment with late-life trajectories of depressive symptom severity.

Raj G Kumar, Nimali Jayasinghe, Rod L Walker, Laura E Gibbons, Melinda C Power, Eric B Larson, Paul K Crane, Kristen Dams-O'Connor

Abstract read
In one paragraph

Article in Journal of affective disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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.

Raj G KumarDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai.
Nimali JayasingheDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai; Department of Psychiatry, Weill Cornell Medicine.
Rod L WalkerKaiser Permanente Washington Health Research Institute.
Laura E GibbonsDepartment of Medicine, University of Washington.
Melinda C PowerDepartment of Epidemiology, Milken Institute School of Public Health, George Washington University.
Eric B LarsonDepartment of Medicine, University of Washington; Kaiser Permanente Washington Health Research Institute.
Paul K CraneDepartment of Medicine, University of Washington.
Kristen Dams-O'ConnorDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai; Department of Neurology, Icahn School of Medicine at Mount Sinai. Electronic address: kristen.dams-o'connor@mountsinai.org.

Funding

Furthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3M
University of Washington Alzheimer's Disease Research CenterP30AG066509 · NIA · UNIVERSITY OF WASHINGTON · PI SUMAN JAYADEV · 2020 to 2026
$29.0M
The Late Effects of TBI (LETBI) Study: Injury Patterns and Biological Markers of Post-Traumatic NeurodegenerationRF1NS115268 · NINDS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Kristen Dams-O'Connor · 2019 to 2026
$10.3M
Leveraging Existing Aging Research Networks to investigate TBI and AD/ADRD risk (LEARN TBI & AD)R01AG061028 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DAMS-O'CONNOR, KRISTEN, MEZ, JESSE BENJAMIN · 2019 to 2023
$5.9M
ACL HHS 90DPTB0009NIA NIH HHS P30 AG066509NIA NIH HHS R01 AG061028NIA NIH HHS U01 AG006781NINDS NIH HHS RF1 NS115268
6 · The paper itself

Abstract

backgroundTraumatic brain injury (TBI) and military service are common lifetime exposures among current older adults that may affect late-life mental health. The objective of the present study was to evaluate the association between TBI with loss of consciousness (LOC) and military employment and late-life depressive symptom severity trajectory.

methods1445 males and 2096 females adults at least 65 years old without dementia or recent TBI were enrolled and followed biennially for up to 10 years in the Adult Changes in Thought study from Kaiser Permanente Washington in Seattle, Washington.

resultsUsing group-based trajectory modeling, we documented four distinct depressive symptom severity trajectories that followed a similar course in males and females (Minimal, Decreasing, Increasing, and Persistent). In multinomial regression analyses, TBI with LOC in males was associated with greater likelihood of Persistent versus Minimal depressive symptom severity compared to individuals without TBI (OR = 1.51, 95% CI: 1.01, 2.27; p=0.046). Males reporting past military employment had greater likelihood of Decreasing versus Minimal depressive symptom severity compared to individuals without past military employment (OR = 1.54, 95% CI: 1.03, 2.31; p=0.035). There was no association between TBI or military employment and depression trajectories in females, and no evidence of effect modification by age or between exposures. LIMITATIONS: Lifetime history of TBI was ascertained retrospectively and may be subject to recall bias. Also, past military employment does not presuppose combat exposure.

conclusionsRemote TBI and past military employment are relevant to late-life trajectories of depressive symptom severity in dementia-free older males.

Indexed as

Brain Injuries, TraumaticMilitary PersonnelAgedDepressionEmploymentFemaleHumansMaleRetrospective StudiesDepressionGeriatricsMilitary veteran healthTraumatic Brain Injury

Identifiers

PMID33348181
PMCPMC8887889

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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.