A cross-sectional study on post-stroke depression and the quality of life
Abstract Background Post-stroke depression (PSD) is a common mood disorder associated with stroke. By investigating the differences in life quality factors among stroke survivors, the results of this study offer insights into how to better prevent and manage the onset and progression of depression....
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BMC
2024-11-01
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| Online Access: | https://doi.org/10.1186/s40359-024-02143-4 |
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| author | Qian-Ying Hu Ya-Jing Chen Juan Liu Xue-Ping Zhao Wen-Ya Feng Jian-Bin Tian Su-Juan Sun Zi-Ning Li |
| author_facet | Qian-Ying Hu Ya-Jing Chen Juan Liu Xue-Ping Zhao Wen-Ya Feng Jian-Bin Tian Su-Juan Sun Zi-Ning Li |
| author_sort | Qian-Ying Hu |
| collection | DOAJ |
| description | Abstract Background Post-stroke depression (PSD) is a common mood disorder associated with stroke. By investigating the differences in life quality factors among stroke survivors, the results of this study offer insights into how to better prevent and manage the onset and progression of depression. Methods This study is a cross-sectional study that selected patients receiving treatment in the Department of Rehabilitation Medicine at Hebei University Affiliated Hospital from September 1 to November 30, 2023. The inclusion criteria for this study were as follows: 1. Age ≥ 18 years; 2. Diagnosis of hemorrhagic or ischemic stroke confirmed by imaging examination. The exclusion criteria included: 1. A history of psychiatric disorders such as depression or anxiety prior to the onset of the illness; 2. History of psychiatric medication use before the onset; 3. Functional impairments, such as speech, cognitive, or consciousness disorders, that hinder cooperation with the survey questionnaire. Ultimately, a total of 131 patients were included in the study. Based on the results of the Patient Health Questionnaire-9 (PHQ-9), patients were divided into the PSD group and the non-PSD group. The primary evaluation metrics included the General Self-Efficacy Scale (GSES), Visual Analogue Scale (VAS), modified Rankin Scale (mRS), and Fatigue Assessment Scale (FAS), allowing for a comparison of demographic, clinical data, and evaluation metrics between the two groups. Statistical analysis was performed using SPSS version 25.0, and GraphPad Prism version 9.0 was used for graphical representations. Results The morbidity rate of PSD in this study was 48%, which was slightly higher than the global statistical data. The demographic data did not show any statistical differences in terms of age, sex, history of smoking and drinking, or occupation, but they did show a significant difference in terms of education level (p < 0.05), which was primarily related to low education level in the PSD group. In contrast, the clinical data did not show any differences in terms of stroke type, pathogenic site, or medical history (p > 0.05). Conclusion In this study, statistical results indicated no significant difference in the mRS between the two groups. However, the GSES, VAS, and FAS showed significant differences. This suggests a strong correlation between GSES, VAS, and FAS with the occurrence of PSD, indicating that these factors may serve as predictors for PSD. In medical practice, focusing on patients’ self-efficacy, pain, and fatigue levels could facilitate recovery. When developing rehabilitation plans, it is crucial to minimize patients’ feelings of self-defeat, enhance their self-efficacy, and manage fatigue effectively. Furthermore, reinforcing pain management throughout the rehabilitation process may promote more effective patient recovery. |
| format | Article |
| id | doaj-art-a9e68d95da584928a57549ebb3b4d5d6 |
| institution | Kabale University |
| issn | 2050-7283 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | BMC |
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| series | BMC Psychology |
| spelling | doaj-art-a9e68d95da584928a57549ebb3b4d5d62024-11-17T12:54:30ZengBMCBMC Psychology2050-72832024-11-0112111210.1186/s40359-024-02143-4A cross-sectional study on post-stroke depression and the quality of lifeQian-Ying Hu0Ya-Jing Chen1Juan Liu2Xue-Ping Zhao3Wen-Ya Feng4Jian-Bin Tian5Su-Juan Sun6Zi-Ning Li7Department of Rehabilitation Medicine, Affiliated Hospital of Hebei UniversityDepartment of Neurology Medicine, Affiliated Hospital of Hebei UniversityDepartment of Rehabilitation Medicine, Affiliated Hospital of Hebei UniversityDepartment of Nursing, Hebei General HospitalDepartment of Rehabilitation Medicine, Affiliated Hospital of Hebei UniversityDepartment of Rehabilitation Medicine, Affiliated Hospital of Hebei UniversityDepartment of Nursing, Hebei General HospitalCollege of Nursing, Hebei UniversityAbstract Background Post-stroke depression (PSD) is a common mood disorder associated with stroke. By investigating the differences in life quality factors among stroke survivors, the results of this study offer insights into how to better prevent and manage the onset and progression of depression. Methods This study is a cross-sectional study that selected patients receiving treatment in the Department of Rehabilitation Medicine at Hebei University Affiliated Hospital from September 1 to November 30, 2023. The inclusion criteria for this study were as follows: 1. Age ≥ 18 years; 2. Diagnosis of hemorrhagic or ischemic stroke confirmed by imaging examination. The exclusion criteria included: 1. A history of psychiatric disorders such as depression or anxiety prior to the onset of the illness; 2. History of psychiatric medication use before the onset; 3. Functional impairments, such as speech, cognitive, or consciousness disorders, that hinder cooperation with the survey questionnaire. Ultimately, a total of 131 patients were included in the study. Based on the results of the Patient Health Questionnaire-9 (PHQ-9), patients were divided into the PSD group and the non-PSD group. The primary evaluation metrics included the General Self-Efficacy Scale (GSES), Visual Analogue Scale (VAS), modified Rankin Scale (mRS), and Fatigue Assessment Scale (FAS), allowing for a comparison of demographic, clinical data, and evaluation metrics between the two groups. Statistical analysis was performed using SPSS version 25.0, and GraphPad Prism version 9.0 was used for graphical representations. Results The morbidity rate of PSD in this study was 48%, which was slightly higher than the global statistical data. The demographic data did not show any statistical differences in terms of age, sex, history of smoking and drinking, or occupation, but they did show a significant difference in terms of education level (p < 0.05), which was primarily related to low education level in the PSD group. In contrast, the clinical data did not show any differences in terms of stroke type, pathogenic site, or medical history (p > 0.05). Conclusion In this study, statistical results indicated no significant difference in the mRS between the two groups. However, the GSES, VAS, and FAS showed significant differences. This suggests a strong correlation between GSES, VAS, and FAS with the occurrence of PSD, indicating that these factors may serve as predictors for PSD. In medical practice, focusing on patients’ self-efficacy, pain, and fatigue levels could facilitate recovery. When developing rehabilitation plans, it is crucial to minimize patients’ feelings of self-defeat, enhance their self-efficacy, and manage fatigue effectively. Furthermore, reinforcing pain management throughout the rehabilitation process may promote more effective patient recovery.https://doi.org/10.1186/s40359-024-02143-4General self-Efficacy scoreQuality of lifePost-stroke depressionPost-stroke fatigueFatigue severity scale |
| spellingShingle | Qian-Ying Hu Ya-Jing Chen Juan Liu Xue-Ping Zhao Wen-Ya Feng Jian-Bin Tian Su-Juan Sun Zi-Ning Li A cross-sectional study on post-stroke depression and the quality of life BMC Psychology General self-Efficacy score Quality of life Post-stroke depression Post-stroke fatigue Fatigue severity scale |
| title | A cross-sectional study on post-stroke depression and the quality of life |
| title_full | A cross-sectional study on post-stroke depression and the quality of life |
| title_fullStr | A cross-sectional study on post-stroke depression and the quality of life |
| title_full_unstemmed | A cross-sectional study on post-stroke depression and the quality of life |
| title_short | A cross-sectional study on post-stroke depression and the quality of life |
| title_sort | cross sectional study on post stroke depression and the quality of life |
| topic | General self-Efficacy score Quality of life Post-stroke depression Post-stroke fatigue Fatigue severity scale |
| url | https://doi.org/10.1186/s40359-024-02143-4 |
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