Evidence map›Paper›PMID 39606381›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Drivers of Depression in Chronic Post-Stroke Aphasia.

Devna Mathur, Sachi Paul, Andrew DeMarco, Peter Turkeltaub

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sachi Paul
Andrew DeMarco
Peter Turkeltaub

Funding

Functional anomaly mapping of aphasia recoveryR00DC018828 · NIDCD · GEORGETOWN UNIVERSITY · PI DEMARCO, ANDREW T · 2023 to 2025
$747k
NIDCD NIH HHS R00 DC018828
6 · The paper itself

Abstract

Background: Approximately one third of stroke survivors develop post-stroke depression, which reduces quality of life. Previous studies have often focused on early phases of recovery and excluded people with significant aphasia. Here, we examine relationships of depression symptoms to demographic factors, and different types of stroke-related disability and impairment in adults with chronic left-hemisphere stroke and a history of aphasia. Methods: 92 chronic left-hemisphere stroke survivors with a history of aphasia and 70 controls participated in this cross-sectional study. The Beck Depression Inventory-II (BDI-II) measured depression symptoms. The Stroke Impact Scale 3.0 (SIS) assessed stroke-related disability in Cognitive, Physical, and Social Participation domains, as well as self-perceived Recovery. The Western Aphasia Battery Aphasia Quotient and the NIH Stroke Scale total motor score measured language and motor impairment. Spearman correlations examined bivariate relationships between variables. Ordinal regression models examined group differences in BDI-II scores (Model 1), and disability and impairment factors that predicted BDI-II scores (Model 2), accounting for demographic factors and antidepressant medication status. Results: BDI-II scores were on average 3.4 points higher in stroke survivors than controls. Model 1 confirmed that this difference was significant, and found that age was inversely related to BDI-II scores. Bivariate correlations demonstrated that higher BDI-II scores were related to lower SIS Cognitive, Social Participation, and Recovery scores. Model 2 found that these three measures independently predicted BDI-II scores. Conclusions: The factors related to depression may differ depending on the nature of the stroke, the types of deficits experienced, and the phase of recovery. In the chronic phase of left hemisphere stroke with aphasia, cognitive and communication disabilities, social participation, and self-perceived recovery are the primary correlates of depression symptoms. These findings highlight the importance of assessing for depression even long after left hemisphere stroke, and suggest potential targets for psychotherapy to improve depression.

Identifiers

PMID39606381
PMCPMC11601712

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