Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis
BackgroundPerceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19...
| المؤلفون الرئيسيون: | , , , , , , , , , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
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Frontiers Media S.A.
2023-03-01
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| سلاسل: | Frontiers in Public Health |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1111900/full |
| _version_ | 1827986508085198848 |
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| author | Yijin Wu Zhenwei Dai Weijun Xiao Hao Wang Yiman Huang Mingyu Si Jiaqi Fu Xu Chen Mengmeng Jia Zhiwei Leng Dan Cui Dan Cui Winnie W. S. Mak Xiaoyou Su |
| author_facet | Yijin Wu Zhenwei Dai Weijun Xiao Hao Wang Yiman Huang Mingyu Si Jiaqi Fu Xu Chen Mengmeng Jia Zhiwei Leng Dan Cui Dan Cui Winnie W. S. Mak Xiaoyou Su |
| author_sort | Yijin Wu |
| collection | DOAJ |
| description | BackgroundPerceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19 stigma in RD using latent profile analysis (LPA), to explore its psycho-social influencing factors, and to determine the cut-off point of the stigma scale using receiver operating characteristic (ROC) analysis.MethodsA cross-sectional study was conducted among COVID-19 RD in 13 communities in Jianghan District, Wuhan City, Hubei Province, China from June 10 to July 25, 2021, enrolling total 1,297 participants. Data were collected on demographic characteristics, COVID-19 perceived stigma, post-traumatic stress disorder (PTSD), anxiety, depression, sleep disorder, fatigue, resilience, social support, and peace of mind. LPA was performed to identify different profiles of perceived COVID-19 stigma level. Univariate analysis and multinominal logistic regression analysis were conducted to explore the influencing factors in different profiles. ROC analyses was carried out to identify the cut-off value of perceived stigma.ResultsAmong the participants, three profiles of perceived stigma were identified: “low perceived COVID-19 stigma” (12.8%), “moderate perceived COVID-19 stigma” (51.1%), and “severe perceived COVID-19 stigma” (36.1%). Multinominal logistic regression analysis revealed that older age, living with other people, anxiety, and sleep disorder were positively associated with moderate perceived COVID-19 stigma, while higher educational level was negatively associated with moderate perceived COVID-19 stigma. Female, older age, living with other people, anxiety, and sleep disorder were positively associated with severe perceived COVID-19 stigma, while higher educational level, social support, and peace of mind were negatively associated with severe perceived COVID-19 stigma. ROC curve of the Short Version of COVID-19 Stigma Scale (CSS-S) for screening perceived COVID-19 stigma showed that the optimal cut-off value was ≥ 20.ConclusionThe study focuses on the issue of perceived COVID-19 stigma and its psycho-socio influencing factors. It provides evidence for implementing relevant psychological interventions to COVID-19 RD. |
| first_indexed | 2024-04-09T23:32:28Z |
| format | Article |
| id | doaj.art-fe08a8f775024f308b3e0c901b9ac1c3 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-09T23:32:28Z |
| publishDate | 2023-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-fe08a8f775024f308b3e0c901b9ac1c32023-03-21T04:35:46ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-03-011110.3389/fpubh.2023.11119001111900Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysisYijin Wu0Zhenwei Dai1Weijun Xiao2Hao Wang3Yiman Huang4Mingyu Si5Jiaqi Fu6Xu Chen7Mengmeng Jia8Zhiwei Leng9Dan Cui10Dan Cui11Winnie W. S. Mak12Xiaoyou Su13School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, ChinaThe 2nd Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, ChinaDepartment of Psychology, Diversity and Well-Being Laboratory, The Chinese University of Hong Kong, Shatin, Hong Kong, ChinaSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, ChinaBackgroundPerceived stigma has greatly influenced the life quality of the COVID-19 patients who recovered and were discharged (RD hereafter). It is essential to understand COVID-19 stigma of RD and its related risk factors. The current study aims to identify the characteristics of perceived COVID-19 stigma in RD using latent profile analysis (LPA), to explore its psycho-social influencing factors, and to determine the cut-off point of the stigma scale using receiver operating characteristic (ROC) analysis.MethodsA cross-sectional study was conducted among COVID-19 RD in 13 communities in Jianghan District, Wuhan City, Hubei Province, China from June 10 to July 25, 2021, enrolling total 1,297 participants. Data were collected on demographic characteristics, COVID-19 perceived stigma, post-traumatic stress disorder (PTSD), anxiety, depression, sleep disorder, fatigue, resilience, social support, and peace of mind. LPA was performed to identify different profiles of perceived COVID-19 stigma level. Univariate analysis and multinominal logistic regression analysis were conducted to explore the influencing factors in different profiles. ROC analyses was carried out to identify the cut-off value of perceived stigma.ResultsAmong the participants, three profiles of perceived stigma were identified: “low perceived COVID-19 stigma” (12.8%), “moderate perceived COVID-19 stigma” (51.1%), and “severe perceived COVID-19 stigma” (36.1%). Multinominal logistic regression analysis revealed that older age, living with other people, anxiety, and sleep disorder were positively associated with moderate perceived COVID-19 stigma, while higher educational level was negatively associated with moderate perceived COVID-19 stigma. Female, older age, living with other people, anxiety, and sleep disorder were positively associated with severe perceived COVID-19 stigma, while higher educational level, social support, and peace of mind were negatively associated with severe perceived COVID-19 stigma. ROC curve of the Short Version of COVID-19 Stigma Scale (CSS-S) for screening perceived COVID-19 stigma showed that the optimal cut-off value was ≥ 20.ConclusionThe study focuses on the issue of perceived COVID-19 stigma and its psycho-socio influencing factors. It provides evidence for implementing relevant psychological interventions to COVID-19 RD.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1111900/fullCOVID-19perceived stigmalatent profile analysisdischarged patientsChina |
| spellingShingle | Yijin Wu Zhenwei Dai Weijun Xiao Hao Wang Yiman Huang Mingyu Si Jiaqi Fu Xu Chen Mengmeng Jia Zhiwei Leng Dan Cui Dan Cui Winnie W. S. Mak Xiaoyou Su Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis Frontiers in Public Health COVID-19 perceived stigma latent profile analysis discharged patients China |
| title | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
| title_full | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
| title_fullStr | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
| title_full_unstemmed | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
| title_short | Perceived stigma among discharged patients of COVID-19 in Wuhan, China: A latent profile analysis |
| title_sort | perceived stigma among discharged patients of covid 19 in wuhan china a latent profile analysis |
| topic | COVID-19 perceived stigma latent profile analysis discharged patients China |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1111900/full |
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