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BMC Psychiatry
Published in: BMC Psychiatry 1/2017

Open Access 01-12-2017 | Research article

An analysis of depressive symptoms in stroke survivors: verification of a moderating effect of demographic characteristics

Authors: Eun-Young Park, Jung-Hee Kim

Published in: BMC Psychiatry | Issue 1/2017

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Abstract

Background

The rehabilitation of depressed stroke patients is more difficult because poststroke depression is associated with disruption of daily activities, functioning, and quality of life. However, research on depression in stroke patients is limited. The aim of our study was to evaluate the interaction of demographic characteristics including gender, age, education level, the presence of a spouse, and income status on depressive symptoms in stroke patients and to identify groups that may need more attention with respect to depressive symptoms.

Methods

We completed a secondary data analysis using data from a completed cross-sectional study of people with stroke. Depression was measured using the Center for Epidemiologic Studies Depression Scale.

Results

In this study, depressive symptoms in women living with a spouse were less severe than among those without a spouse. For those with insufficient income, depressive symptom scores were higher in the above high school group than in the below high school group, but were lower in patients who were living with a spouse than in those living without a spouse.

Conclusion

Assessing depressive symptoms after stroke should consider the interaction of gender, economic status, education level, and the presence/absence of a spouse. These results would help in comprehensive understanding of the importance of screening for and treating depressive symptoms during rehabilitation after stroke.
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Metadata
Title
An analysis of depressive symptoms in stroke survivors: verification of a moderating effect of demographic characteristics
Authors
Eun-Young Park
Jung-Hee Kim
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Psychiatry / Issue 1/2017
Electronic ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-017-1292-4

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