Factor structure and reliability of the symptom measurement of post-stroke depression in the rehabilitation stage
- PMID: 38877421
- PMCID: PMC11179195
- DOI: 10.1186/s12888-024-05906-w
Factor structure and reliability of the symptom measurement of post-stroke depression in the rehabilitation stage
Abstract
Background: The incidence of Post Stroke Depression (PSD) in the Rehabilitation Stage is high, which can bring serious physical and psychological disorders to patients. However, there is still a lack of targeted tools for screening PSD in the rehabilitation stage. Therefore, the aim of this study was to evaluate the factor structure and reliability of a measurement instrument to screen for PSD in the rehabilitation stage.
Methods: A cross-sectional study was conducted on 780 hospitalized stroke patients who were within the rehabilitation stage from May to August 2020. Exploratory factor analysis (EFA) as well as first- and second-order confirmatory factor analysis (CFA) were performed to evaluate the factor structure of the newly developed Symptom Measurement of Post-Stroke Depression in the Rehabilitation Stage (SMPSD-RS). The reliability and validity of the SMPSD-RS were also verified using several statistical methods.
Results: EFA extracted a 24-item, five-factor (cognition, sleep, behavior, emotion, and obsession) model that can clinically explain the symptoms of PSD during the rehabilitation stage. A first-order CFA confirmed the EFA model with good model fit indices, and the second-order CFA further confirmed the five-factor structure model and showed acceptable model fit indices. Acceptable reliability and validity were also achieved by the corresponding indicators.
Conclusion: The SMPSD-RS was proven to have a stable factor structure and was confirmed to be reliable and valid for assessing PSD symptoms in stroke patients during the rehabilitation stage.
Keywords: Confirmatory factor analysis; Exploratory factor analysis; Measurement development; Post-stroke depression; Rehabilitation stage; Stroke patient.
© 2024. The Author(s).
Conflict of interest statement
The authors declare no competing interests.
Similar articles
-
Early symptom measurement of Post-Stroke Depression (PSD).J Affect Disord. 2016 Jun;197:215-22. doi: 10.1016/j.jad.2016.03.038. Epub 2016 Mar 10. J Affect Disord. 2016. PMID: 26995465
-
Early Symptom Measurement of Post-Stroke Depression: Development and validation of a new short version.J Adv Nurs. 2019 Feb;75(2):482-493. doi: 10.1111/jan.13885. Epub 2018 Nov 20. J Adv Nurs. 2019. PMID: 30375007
-
Psychometric properties of the post-stroke depression scale in the sequelae stage.Front Psychol. 2023 Mar 31;14:1130497. doi: 10.3389/fpsyg.2023.1130497. eCollection 2023. Front Psychol. 2023. PMID: 37063589 Free PMC article.
-
Properties of the Early Symptom Measurement of Post-Stroke Depression: Concurrent Criterion Validity and Cutoff Scores.J Nurs Res. 2020 Aug;28(4):e107. doi: 10.1097/jnr.0000000000000380. J Nurs Res. 2020. PMID: 32516198
-
Validity of evaluation scales for post-stroke depression: a systematic review and meta-analysis.BMC Neurol. 2024 Aug 15;24(1):286. doi: 10.1186/s12883-024-03744-7. BMC Neurol. 2024. PMID: 39148052 Free PMC article.
Cited by
-
Effectiveness of intelligent robotic-assisted training system combined with repetitive facilitative exercise on upper limb motor function after stroke: a randomized controlled trial.BMC Sports Sci Med Rehabil. 2025 Jul 3;17(1):178. doi: 10.1186/s13102-025-01234-y. BMC Sports Sci Med Rehabil. 2025. PMID: 40611355 Free PMC article.
-
Differences in symptom clusters based on multidimensional symptom experience and symptom burden in stroke patients.Sci Rep. 2025 Apr 5;15(1):11733. doi: 10.1038/s41598-025-96189-y. Sci Rep. 2025. PMID: 40188267 Free PMC article.
References
-
- Wang H, Gong L, Xia X, Dong Q, Jin A, Gu Y et al. Red blood cell indices in relation to post-stroke psychiatric disorders: a longitudinal study in a follow-up stroke clinic. Curr Neurovasc Res. 2020. - PubMed
-
- Zeng YY, Cheng HR, Cheng L, Huang G, Chen YB, Tang WJ et al. Comparison of Post-stroke Depression between Acute ischemic and hemorrhagic stroke patients. Int J Geriatr Psychiatry. 2020. - PubMed
-
- Haq SU, Symeon C, Agius M, Brady R. Screening for depression in post stroke patients. Psychiatr Danub. 2010;22(Suppl 1):S33–5. - PubMed
Publication types
MeSH terms
Grants and funding
- 71804134/National Natural Science Foundation of China
- LQ18G030006/Natural Science Foundation of Zhejiang Province
- 18YJCZH078/Project of Humanities and Social Sciences from the Ministry of Education in China
- Y20180054, Y20190027, Y20220098/Wenzhou Municipal Science and Technology Bureau
- 2020KY631, 2021KY780/Zhejiang Province Medical and Health Science and Technology Program
LinkOut - more resources
Full Text Sources
Medical