Psychometric properties of the post-stroke depression scale in the sequelae stage
AimTo evaluate the psychometric properties of the Post-Stroke Depression Scale in the Sequelae Stage (PSDS-SS).BackgroundThe incidence of the sequelae stage Post-Stroke Depression (PSD) is high, and the best screening tools are still lacking. Under this circumstances, our research team developed the...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1130497/full |
| _version_ | 1797854981617876992 |
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| author | Yawei Zeng Fengzhen Li Liuqiao Ning Yingjie Fu Yajing Ge Beibei Gan Suichai Lin Haiyun Lin Jufang Li |
| author_facet | Yawei Zeng Fengzhen Li Liuqiao Ning Yingjie Fu Yajing Ge Beibei Gan Suichai Lin Haiyun Lin Jufang Li |
| author_sort | Yawei Zeng |
| collection | DOAJ |
| description | AimTo evaluate the psychometric properties of the Post-Stroke Depression Scale in the Sequelae Stage (PSDS-SS).BackgroundThe incidence of the sequelae stage Post-Stroke Depression (PSD) is high, and the best screening tools are still lacking. Under this circumstances, our research team developed the PSDS-SS by Delphi method, but its psychometric properties need to be further verified.MethodThis was a cross-sectional study. Seven hundred and sixteen stroke patients in the sequelae stage were enrolled by purpose sampling from May 2022 to September 2022. The exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to verify the factor structure of the scale. The reliability of the scale was tested by Cronbach’s α coefficient, test–retest reliability and composite reliability. The validity of the scale was tested by criterion-related validity, convergent and discriminant validity.ResultEight items were deleted through item analysis. The EFA ended up with a 5-factor scale including 24 items after removing one item with low factor loading. Finally, a 21-item model was established by confirmatory factor analysis, and all the fit indexes were acceptable. The reliability and validity of the total scale and each factor are acceptable.ConclusionThe PSDS-SS has a stable factor structure, and demonstrated good reliability and validity. And it would be an effective tool to assess PSD in the sequelae stage. |
| first_indexed | 2024-04-09T20:16:09Z |
| format | Article |
| id | doaj.art-290b843a32a44b2ea927575007169f52 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-09T20:16:09Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-290b843a32a44b2ea927575007169f522023-03-31T07:10:59ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-03-011410.3389/fpsyg.2023.11304971130497Psychometric properties of the post-stroke depression scale in the sequelae stageYawei Zeng0Fengzhen Li1Liuqiao Ning2Yingjie Fu3Yajing Ge4Beibei Gan5Suichai Lin6Haiyun Lin7Jufang Li8School of Nursing, Wenzhou Medical University, Wenzhou, ChinaSchool of Nursing, Wenzhou Medical University, Wenzhou, ChinaSchool of Nursing, Wenzhou Medical University, Wenzhou, ChinaSchool of Nursing, Wenzhou Medical University, Wenzhou, ChinaDepartment of Wound Repair, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Emergency, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, ChinaDepartment of Rehabilitation Medicine, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, ChinaSchool of Nursing, Wenzhou Medical University, Wenzhou, ChinaAimTo evaluate the psychometric properties of the Post-Stroke Depression Scale in the Sequelae Stage (PSDS-SS).BackgroundThe incidence of the sequelae stage Post-Stroke Depression (PSD) is high, and the best screening tools are still lacking. Under this circumstances, our research team developed the PSDS-SS by Delphi method, but its psychometric properties need to be further verified.MethodThis was a cross-sectional study. Seven hundred and sixteen stroke patients in the sequelae stage were enrolled by purpose sampling from May 2022 to September 2022. The exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to verify the factor structure of the scale. The reliability of the scale was tested by Cronbach’s α coefficient, test–retest reliability and composite reliability. The validity of the scale was tested by criterion-related validity, convergent and discriminant validity.ResultEight items were deleted through item analysis. The EFA ended up with a 5-factor scale including 24 items after removing one item with low factor loading. Finally, a 21-item model was established by confirmatory factor analysis, and all the fit indexes were acceptable. The reliability and validity of the total scale and each factor are acceptable.ConclusionThe PSDS-SS has a stable factor structure, and demonstrated good reliability and validity. And it would be an effective tool to assess PSD in the sequelae stage.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1130497/fullpost-stroke depressionexploratory factor analysisconfirmatory factor analysissequelae stagemeasurement development |
| spellingShingle | Yawei Zeng Fengzhen Li Liuqiao Ning Yingjie Fu Yajing Ge Beibei Gan Suichai Lin Haiyun Lin Jufang Li Psychometric properties of the post-stroke depression scale in the sequelae stage Frontiers in Psychology post-stroke depression exploratory factor analysis confirmatory factor analysis sequelae stage measurement development |
| title | Psychometric properties of the post-stroke depression scale in the sequelae stage |
| title_full | Psychometric properties of the post-stroke depression scale in the sequelae stage |
| title_fullStr | Psychometric properties of the post-stroke depression scale in the sequelae stage |
| title_full_unstemmed | Psychometric properties of the post-stroke depression scale in the sequelae stage |
| title_short | Psychometric properties of the post-stroke depression scale in the sequelae stage |
| title_sort | psychometric properties of the post stroke depression scale in the sequelae stage |
| topic | post-stroke depression exploratory factor analysis confirmatory factor analysis sequelae stage measurement development |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1130497/full |
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