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

  • Jeonju University

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

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.

Original languageEnglish
Article number132
JournalBMC Psychiatry
Volume17
Issue number1
DOIs
StatePublished - 8 Apr 2017

Bibliographical note

Publisher Copyright:
© 2017 The Author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Demographic characteristic
  • Depression
  • Moderating effect
  • Stroke

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