Evidence map›Paper›PMID 38877421›Full record

ArticleBMC psychiatry2024

Factor structure and reliability of the symptom measurement of post-stroke depression in the rehabilitation stage.

Yawei Zeng, Junya Chen, Jing Liu, Yi Zhang, Hongxia Wang, Yanhong Jiang, Weiwei Ding, Yun Li, Jufang Li

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yawei Zeng *School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Junya Chen *School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jing Liu *School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yi Zhang *School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Hongxia Wang *The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yanhong JiangSchool of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Weiwei Ding *School of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yun LiThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. 80644720@qq.com.
Jufang LiSchool of Nursing, Wenzhou Medical University, Wenzhou, Zhejiang, China. lijufang911@126.com.

Funding

National Natural Science Foundation of China 71804134Natural Science Foundation of Zhejiang Province LQ18G030006Project of Humanities and Social Sciences from the Ministry of Education in China 18YJCZH078Wenzhou Municipal Science and Technology Bureau Y20180054, Y20190027, Y20220098Zhejiang Province Medical and Health Science and Technology Program 2020KY631, 2021KY780
6 · The paper itself

Abstract

backgroundThe 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.

methodsA 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.

resultsEFA 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.

conclusionThe 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.

Indexed as

DepressionPsychiatric Status Rating ScalesStrokeStroke RehabilitationAdultAgedCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsConfirmatory factor analysisExploratory factor analysisMeasurement developmentPost-stroke depressionRehabilitation stageStroke patient

Identifiers

PMID38877421
PMCPMC11179195

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