AI Article Synopsis
- This study aimed to identify symptom clusters related to early-stage poststroke depression (PSD) and deeply explore the specific symptoms involved.
- A mixed-methods approach was used, involving both a questionnaire survey of 231 stroke patients and semi-structured interviews with 14 patients in a Southeast China hospital.
- Analysis revealed six symptom clusters associated with PSD: nervousness, wakefulness, emotional issues, feelings of dullness, guilt, and low mood, along with five corresponding themes from interviews, mostly aligning with the symptom clusters except for one.
Article Abstract
Aim: To identify the symptom clusters of early-stage poststroke depression (PSD) and provide an in-depth understanding of the symptoms.
Design: A mixed-methods study with a convenient sampling method was used.
Methods: A cross-sectional questionnaire survey in 231 stroke patients and semi-structured interviews in 14 stroke patients were conducted in the neurological department of a comprehensive hospital in Southeast China. Data from the questionnaire survey were analysed through descriptive and exploratory factor analyses; data from the semi-structured interview were transcribed verbatim and analysed through inductive content analysis. This study adheres to the GRAMMS checklist.
Results: Exploratory factor analysis revealed six symptom clusters of early-stage PSD that accounted for an ideal variance in PSD: nervous, wakefulness, emotional, dull, guilt and low mood. Further, inductive content analysis revealed five themes that were like the above symptom clusters, except for the dull symptom cluster.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363377 | PMC |
| http://dx.doi.org/10.1002/nop2.772 | DOI Listing |
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