Cheng-Fang Yen, Ching-Shu Tsai, Chien-Wen Lin, Ray C Hsiao, Peng-Wei Wang
{"title":"精神分裂症患者对COVID-19恐惧的预测因素:一项前瞻性研究","authors":"Cheng-Fang Yen, Ching-Shu Tsai, Chien-Wen Lin, Ray C Hsiao, Peng-Wei Wang","doi":"10.7150/ijms.106953","DOIUrl":null,"url":null,"abstract":"<p><p><b>Purpose:</b> The fear of COVID-19 can result in psychological distress and mental health problems. Individuals with schizophrenia (IWSs) are especially vulnerable to contracting COVID-19. This study with a 1-year follow-up examined whether individual characteristics (sociodemographic characteristics, schizophrenia symptoms, depression, and self-esteem) or factors related to individual-environmental interaction (self-stigma, loneliness, and perceived social support) predicted the level of fear of COVID-19 (FC) among IWSs. <b>Patients and methods:</b> In total, 257 IWSs (out of an initial pool of 300 IWSs) were enrolled, and their baseline data were collected. FC was assessed using the Fear of COVID-19 Scale at 1 year after the onset of the study. The associations of baseline factors with FC 1 year later were analyzed using bivariable and multiple linear regression analysis. <b>Results:</b> Bivariable linear regression results demonstrated that being a woman (<i>p</i> < 0.05), being unemployed (<i>p</i> < 0.05), having depression (<i>p</i> < 0.001), having low self-esteem (<i>p</i> < 0.05), experiencing loneliness (<i>p</i> < 0.01), and having feelings of self-stigma (<i>p</i> < 0.001) significantly predicted FC 1 year later. A multiple linear regression model further indicated that having feelings of self-stigma significantly predicted FC 1 year later (<i>p</i> < 0.01). <b>Conclusion:</b> Clinicians and policymakers should consider the predictors identified in this study when designing interventions to reduce FC among IWSs.</p>","PeriodicalId":14031,"journal":{"name":"International Journal of Medical Sciences","volume":"22 8","pages":"1916-1923"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983312/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictors of the Fear of COVID-19 in Individuals with Schizophrenia: a Prospective Study.\",\"authors\":\"Cheng-Fang Yen, Ching-Shu Tsai, Chien-Wen Lin, Ray C Hsiao, Peng-Wei Wang\",\"doi\":\"10.7150/ijms.106953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Purpose:</b> The fear of COVID-19 can result in psychological distress and mental health problems. Individuals with schizophrenia (IWSs) are especially vulnerable to contracting COVID-19. This study with a 1-year follow-up examined whether individual characteristics (sociodemographic characteristics, schizophrenia symptoms, depression, and self-esteem) or factors related to individual-environmental interaction (self-stigma, loneliness, and perceived social support) predicted the level of fear of COVID-19 (FC) among IWSs. <b>Patients and methods:</b> In total, 257 IWSs (out of an initial pool of 300 IWSs) were enrolled, and their baseline data were collected. FC was assessed using the Fear of COVID-19 Scale at 1 year after the onset of the study. The associations of baseline factors with FC 1 year later were analyzed using bivariable and multiple linear regression analysis. <b>Results:</b> Bivariable linear regression results demonstrated that being a woman (<i>p</i> < 0.05), being unemployed (<i>p</i> < 0.05), having depression (<i>p</i> < 0.001), having low self-esteem (<i>p</i> < 0.05), experiencing loneliness (<i>p</i> < 0.01), and having feelings of self-stigma (<i>p</i> < 0.001) significantly predicted FC 1 year later. A multiple linear regression model further indicated that having feelings of self-stigma significantly predicted FC 1 year later (<i>p</i> < 0.01). <b>Conclusion:</b> Clinicians and policymakers should consider the predictors identified in this study when designing interventions to reduce FC among IWSs.</p>\",\"PeriodicalId\":14031,\"journal\":{\"name\":\"International Journal of Medical Sciences\",\"volume\":\"22 8\",\"pages\":\"1916-1923\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983312/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Medical Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.7150/ijms.106953\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Sciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7150/ijms.106953","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Predictors of the Fear of COVID-19 in Individuals with Schizophrenia: a Prospective Study.
Purpose: The fear of COVID-19 can result in psychological distress and mental health problems. Individuals with schizophrenia (IWSs) are especially vulnerable to contracting COVID-19. This study with a 1-year follow-up examined whether individual characteristics (sociodemographic characteristics, schizophrenia symptoms, depression, and self-esteem) or factors related to individual-environmental interaction (self-stigma, loneliness, and perceived social support) predicted the level of fear of COVID-19 (FC) among IWSs. Patients and methods: In total, 257 IWSs (out of an initial pool of 300 IWSs) were enrolled, and their baseline data were collected. FC was assessed using the Fear of COVID-19 Scale at 1 year after the onset of the study. The associations of baseline factors with FC 1 year later were analyzed using bivariable and multiple linear regression analysis. Results: Bivariable linear regression results demonstrated that being a woman (p < 0.05), being unemployed (p < 0.05), having depression (p < 0.001), having low self-esteem (p < 0.05), experiencing loneliness (p < 0.01), and having feelings of self-stigma (p < 0.001) significantly predicted FC 1 year later. A multiple linear regression model further indicated that having feelings of self-stigma significantly predicted FC 1 year later (p < 0.01). Conclusion: Clinicians and policymakers should consider the predictors identified in this study when designing interventions to reduce FC among IWSs.
期刊介绍:
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