Evidence map›Paper›PMID 40463772›Full record

ArticleArchives of rehabilitation research and clinical translation2025

Depressive Symptoms Are Associated With Reduced Unsupervised Training Engagement in Inpatients With Subacute Stroke: A Secondary Data Analysis Study.

Kazuaki Oyake, Kaori Takahashi, Aiko Arikawa, Honoka Abe, Kunitsugu Kondo, Yohei Otaka, Satoshi Tanaka

Abstract read
In one paragraph

Article in Archives of rehabilitation research and clinical translation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
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

7 authors.

Kazuaki OyakeDepartment of Physical Therapy, School of Health Sciences, Shinshu University, Matsumoto, Japan.
Kaori TakahashiDepartment of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Narashino, Japan.
Aiko ArikawaDepartment of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Narashino, Japan.
Honoka AbeHome-visit Nursing Station Sakura, Ichinoseki, Japan.
Kunitsugu KondoDepartment of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Narashino, Japan.
Yohei OtakaDepartment of Rehabilitation Medicine, Fujita Health University School of Medicine, Toyoake, Japan.
Satoshi TanakaDepartment of Psychology, Hamamatsu University School of Medicine, Hamamatsu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate whether depressive symptoms are associated with reduced engagement in unsupervised training among inpatients with subacute stroke. Design: A secondary analysis of a data set obtained from a previous study conducted by our research group. Setting: Convalescent rehabilitation hospitals. Participants: This study included 34 patients with stroke (19 males; median age 65 [interquartile range, 55-75] years) admitted to a convalescent rehabilitation ward. Interventions: Not applicable. Main Outcome Measures: Primary outcome was the median time spent in unsupervised training across 3 leg cycle sessions. Secondary outcomes included the Functional Independence Measure motor scores at discharge and the length of stay. Depressive symptoms were defined as the Japanese version of the Geriatric Depression Scale Short Form score of ≥7. Results: Twelve participants (35.3%) had depressive symptoms. The median total time spent in unsupervised training was significantly lower in the group with depressive symptoms (367 [249-799] s) than in the group without depressive symptoms (888 [579-901] s), with a medium effect size ( Conclusions: Depressive symptoms were associated with reduced engagement in unsupervised training among inpatients after stroke. The findings highlight the importance of considering psychological factors in designing and implementing self-rehabilitation programs at the early stages of rehabilitation.

Indexed as

AdherenceCerebrovascular diseaseDepressionExerciseRehabilitation

Identifiers

PMID40463772
PMCPMC12128590

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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.