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新冠恐惧量表中文版在大学生群体中的跨文化调适与验证:一项横断面研究。

Cross-Cultural Adaptation and Validation of the Fear of COVID-19 Scale for Chinese University Students: A Cross-Sectional Study.

机构信息

The Mental Health Center, Yunnan University, Kunming 650091, China.

Faculty of Education, Yunnan Normal University, Kunming 650500, China.

出版信息

Int J Environ Res Public Health. 2022 Jul 15;19(14):8624. doi: 10.3390/ijerph19148624.

DOI:10.3390/ijerph19148624
PMID:35886480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9320396/
Abstract

BACKGROUND

fear of COVID-19 is widespread among the population, especially among college students because of their increased exposure to the media information overload of the COVID-19 outbreak. The Fear of COVID-19 scale (FCV-19 S) is a relatively short instrument used to evaluate fears surrounding the COVID-19 pandemic. However, the validity and reliability of the Fear of COVID-19 Scale have not been fully investigated in Chinese university student groups.

OBJECTIVES

this study assessed the cross-cultural adaptability and reliability of the FCV-19S for Chinese university students.

METHODS

a Chinese version of Fear of COVID-19 Scale (C-FCV-19S) was generated using the translation-backward translation method. Psychometric properties of the C-FCV-19S, including internal consistency, split-half reliability, construct reliability, convergent validity, and diagnostic accuracy, were evaluated. The Patient Health Questionnaire (PHQ) and Generalized Anxiety Disorder Questionnaire (GAD-7) scales were also used to evaluate participants for depression and anxiety.

RESULTS

the C-FCV-19S has acceptable internal consistency (Cronbach's alpha: 0.872) and satisfactory split-half reliability (correlation coefficient: 0.799). Using the exploratory factor analysis (EFA), we examined the construct reliability (KMO = 0.920). The confirmatory factor analysis (CFA) confirmed that the bifactor model of scale (including general factor, factor1: the awareness of COVID-19 and physiological arousal, factor 2: fear-related thinking) had a good fit index (χ2/df =6.18, RMSEA= 0.067, SRMR = 0.028, GFI = 0.986, TLI = 0.970 and CFI= 0.988). Using depression-positive and anxiety-positive scores as reference criteria, we found that the areas under the curve were 0.70 and 0.68, respectively, and that the optimal cutoff scores of the C-FCV-19S was 17.5 (sensitivity: 66.3% and 58.7%, respectively).

CONCLUSIONS

the validity and reliability of C-FCV-19S are satisfactory, and the optimal cutoff point was 17.5. The C-FCV-19S can be applied adopted in Chinese university students.

摘要

背景

由于接触到 COVID-19 疫情的媒体信息过载,恐惧 COVID-19 在人群中很普遍,尤其是大学生。恐惧 COVID-19 量表(FCV-19S)是一种相对简短的工具,用于评估围绕 COVID-19 大流行的恐惧。然而,恐惧 COVID-19 量表在中文大学生群体中的有效性和可靠性尚未得到充分研究。

目的

本研究评估了 FCV-19S 在中文大学生中的跨文化适应性和可靠性。

方法

使用翻译后翻译法生成恐惧 COVID-19 量表的中文版本(C-FCV-19S)。使用内部一致性、半分可靠性、结构可靠性、收敛有效性和诊断准确性评估 C-FCV-19S 的心理测量特性。还使用患者健康问卷(PHQ)和广泛性焦虑障碍问卷(GAD-7)量表评估参与者的抑郁和焦虑情况。

结果

C-FCV-19S 具有可接受的内部一致性(Cronbach's alpha:0.872)和令人满意的半分可靠性(相关系数:0.799)。使用探索性因素分析(EFA),我们检查了结构可靠性(KMO=0.920)。验证性因素分析(CFA)证实了量表的双因素模型(包括一般因素、因素 1:对 COVID-19 的认识和生理唤醒、因素 2:与恐惧相关的思维)具有良好的拟合指数(χ2/df=6.18,RMSEA=0.067,SRMR=0.028,GFI=0.986,TLI=0.970 和 CFI=0.988)。使用抑郁阳性和焦虑阳性得分作为参考标准,我们发现曲线下面积分别为 0.70 和 0.68,C-FCV-19S 的最佳截断分数为 17.5(敏感性:分别为 66.3%和 58.7%)。

结论

C-FCV-19S 的有效性和可靠性令人满意,最佳截断点为 17.5。C-FCV-19S 可应用于中国大学生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/66123e472a7b/ijerph-19-08624-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/7af865ea2d68/ijerph-19-08624-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/117408b4e548/ijerph-19-08624-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/63c4451415dc/ijerph-19-08624-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/66123e472a7b/ijerph-19-08624-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/7af865ea2d68/ijerph-19-08624-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/117408b4e548/ijerph-19-08624-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/63c4451415dc/ijerph-19-08624-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8079/9320396/66123e472a7b/ijerph-19-08624-g004.jpg

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