Evidence map›Paper›PMID 38553474›Full record

ArticleTranslational psychiatry2024

Trajectories in depressive symptoms and midlife brain health.

Christina S Dintica, Mohamad Habes, Pamela J Schreiner, Lenore J Launer, Kristine Yaffe

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 8 citations in OpenAlex.

  1. Exploring blood-based biomarkers in late-life depression: Correlates of psychotherapeutic treatment outcomes.European psychiatry : the journal of the Association of European Psychiatrists · 2026
    Trial
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  3. Depressive symptom instability predicts incident mild cognitive impairment and dementia in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    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

5 authors at 4 institutions in 1 country.

Christina S DinticaDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, CA, USA. christina.dintica@ucsf.edu.
Mohamad HabesNeuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC), Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center San Antonio (UTHSCSA), San Antonio, TX, USA.ORCID 0000-0001-9447-5805
Pamela J SchreinerDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA.
Lenore J LaunerNational Institute on Aging, Baltimore, MD, USA.ORCID 0000-0002-3238-7612
Kristine YaffeDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, CA, USA.
University of California, San Francisco · USNational Institute on Aging · USThe University of Texas Health Science Center at San Antonio · USUniversity of Minnesota · US

Funding

Cerebral tau deposition and comorbid cerebrovascular disease across the Alzheimer's disease continuum in Mexican AmericansR01AG085571 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GONZALES, MITZI MICHELLE, HABES, MOHAMAD · 2024 to 2025
$5.7M
Population Based Research for Alzheimer's Innovation (POP BRAIN)R35AG071916 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAFFE, KRISTINE · 2021 to 2024
$3.8M
Lifecourse CVD Risk and Midlife Cognitive Trajectories and Brain Aging: Implications for Alzheimer's and Dementia PreventionR01AG063887 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI YAFFE, KRISTINE · 2019 to 2022
$3.0M
Multiethnic machine learning brain signatures of ADRDR01AG080821 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HABES, MOHAMAD · 2022 to 2025
$2.9M
Alzheimer's Association AARF-21-851960NIA NIH HHS R01 AG063887NIA NIH HHS R01 AG080821NIA NIH HHS R01 AG085571NIA NIH HHS R35 AG071916
6 · The paper itself

Abstract

Depressive symptoms may either be a risk factor or prodromal to dementia. Investigating this association in midlife may help clarify the role of depression in cognitive aging. We aimed to identify trajectories in depressive symptoms in early to mid-life and related cognitive and brain outcomes in midlife. This study includes 3944 Black and White participants (ages 26-45 years at baseline) from the Coronary Artery Risk Development in Young Adults (CARDIA) study with 20 years of follow-up. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale at five time points over 20 years. Growth mixture modeling (GMM) was used to identify depressive symptom trajectories. Participants completed a neuropsychological battery 20 years after baseline, including the Digit Symbol Substitution Test (DSST), Rey-Auditory Verbal Learning Test (RAVLT), Stroop Test, Montreal Cognitive Assessment (MoCA), and category and letter fluency tests. A sub-sample of participants (n = 662) underwent brain magnetic resonance imaging (MRI) to characterize gray matter volumes and white matter hyperintensities (WMHs). We identified four classes of depressive symptom trajectories: a "declining" class (n = 286, 7.3%) with initially high symptoms and subsequent decline, a class with consistently high symptoms ("steady high"; n = 264, 6.7%), a class with late increases in symptoms ("increasing"; n = 277, 7%), and a class with consistently low symptoms ("steady low"; n = 3117, 79.0%). The steady high and the increasing classes had poorer performance on all cognitive tests, while the declining class had poorer performance on the DSST, verbal fluency, and MoCA. Compared to the steady low symptom class, the steady high class had lower volumes in the entorhinal cortex (β: -180.80, 95% CI: -336.69 to -24.91) and the amygdala (β: -40.97, 95% CI: -74.09 to -7.85), the increasing class had more WMHs (β: 0.55, 95% CI: 0.22 to 0.89), and the declining class was not significantly different in any brain measures. Trajectories in depressive symptoms in young to mid-adulthood show distinct cognitive and brain phenotypes in midlife. Steady high depressive symptoms may represent a group that is at risk for dementia, whereas increasing symptoms in midlife may be associated with white matter damage.

Indexed as

DementiaDepressionAdultBrainCognitionHumansRisk FactorsYoung Adult

Identifiers

PMID38553474
PMCPMC10980805
OpenAlexW4393304984

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.