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Symptom clusters of early‐stage poststroke depression: A mixed‐methods study

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...

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Detalles Bibliográficos
Autores principales: Chen, Junya, Li, Yun, Liu, Jing, Zhang, Yi, Zeng, Yawei, Chen, Mengjiao, Ding, Weiwei, Lu, Zhongqiu, Xu, Hongbo, Li, Jufang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8363377/
https://www.ncbi.nlm.nih.gov/pubmed/33471441
http://dx.doi.org/10.1002/nop2.772
Descripción
Sumario: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.