COVID-19大流行期间精神障碍门诊患者及其护理人员可能的创伤后应激障碍预测因素:台湾的横断面研究

Kuan-Ying Hsieh, Wei-Tsung Kao, F. Chou, S. Hsu, Dian-Jeng Li, L. Chou, G. Lin, Wei- Chen, Joh‐Jong Huang
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引用次数: 1

摘要

目的:2019冠状病毒病(COVID-19)大流行可能对精神障碍患者及其照顾者产生心理影响。在本研究中,我们旨在探讨女性、既往创伤、缺乏社会支持、额外的生活压力和非精神病性症状是否可以预测2019冠状病毒病大流行期间精神疾病门诊患者及其护理人员发生创伤后应激障碍(PTSD)的可能性。方法:采用横断面研究方法,收集门诊精神障碍患者及其护理人员的社会人口学变量和ptsd相关症状水平。使用简单的线性回归分析确定与可能的PTSD水平相关的潜在预测因素。我们使用逻辑回归分析和多元线性回归分析来确定这些变量作为独立的预测因子。由于分布的非正态性,我们使用了1000个bootstrap样本的简单和逻辑线性回归分析来验证结果。结果:我们分析了145名参与者的研究数据。Logistic回归分析显示,活动(比值比[OR][95%可信区间(CI)] = 1.409 [0.178-3.711], p < 0.01)和恐慌症状(OR [95% CI] = 20.778 [18.509-23.638], p < 0.01)是可能发生PTSD的显著预测因子。多元回归分析显示,高学历个体(β = 0.210, p < 0.05)和应激源个体(β = 0.233, p < 0.05)与非可能PTSD组的可能PTSD症状水平显著相关。慢性躯体疾病多的个体(β = 0.512, p < 0.05)可能出现PTSD症状的水平显著升高。结论:在目前的研究中,我们发现活动、恐慌症状、高等教育、压力源和更多的慢性身体疾病是COVID-19大流行期间发生可能的PTSD或严重可能的PTSD症状的预测因素。进一步的研究是有必要的,以扩大我们的研究结果的应用和推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors for probable posttraumatic stress disorder among outpatients with psychiatric disorders and their caregivers during the COVID-19 pandemic: A cross-sectional study in Taiwan
Objective: The coronavirus disease 2019 (COVID-19) pandemic may have psychological impacts on patients with mental disorders and their caregivers. In this study, we intended to explore whether female, previous trauma, lack of social support, additional life stress, and nonpsychotic symptoms, can predict to develop probable posttraumatic stress disorder (PTSD) during COVID-19 pandemic among outpatients with psychiatric disorders and their caregivers. Methods: In this cross-sectional study, we recruited outpatients with psychiatric disorders and their caregivers and collected their sociodemographic variables and levels of PTSD-related symptoms with a copy of self-reported questionnaire. Potential predictors associated with the levels of probable PTSD were identified using simple linear regression analyses. We used logistical regression analysis and multiple linear regression analyses to identify those variables for the independent predictors. Due to the nonnormality of distribution, we used simple and logistic linear regression analyses with 1,000 bootstrap samples to verify the results. Results: We analyzed the study data of 145 participants. Logistic regression analysis showed that activity (odds ratio [OR] [95% confidence interval (CI)] = 1.409 [0.178–3.711], p < 0.01) and panic symptoms (OR [95% CI] = 20.778 [18.509–23.638], p < 0.01) were significant predictors of developing probable PTSD. Multiple regression analyses showed that individuals with higher education (β = 0.210, p < 0.05) and stressor (β = 0.233, p < 0.05) were significantly associated with higher level of probable PTSD symptoms in the nonprobable PTSD group. Individuals with more chronic physical illness (β = 0.512, p < 0.05) were associated with significantly higher level of probable PTSD symptoms. Conclusion: In the current study, we identified that activity, panic symptoms, high education, stressors, and more chronic physical illness were predictors either in developing probable PTSD or severe probable PTSD symptoms during the COVID-19 pandemic. Further studies are warranted to extend the application and generalizability of our study results.
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