A fast online questionnaire for screening mental illness symptoms during the COVID-19 pandemic.

A fast online questionnaire for screening mental illness symptoms during the COVID-19 pandemic.
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在COVID-19大流行期间筛查精神疾病症状的快速在线问卷。

DOI:
10.1038/s41398-022-02086-7
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发表时间:
2022-08-04
影响因子:
6.8
通讯作者:
Zheng, Leilei
Zheng, Leilei
中科院分区:
医学1区
文献类型:
--
作者:
Chen, Fang;Yan, Weizheng;Calhoun, Vince D.;Yu, Linzhen;Chen, Lili;Hao, Xiaoyi;Zheng, Leilei

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新冠肺炎疫情对公众心理健康状况造成了巨大影响。迫切需要一种快速的在线问卷来筛查和评估精神症状。在这项工作中,我们开发了一个新的19个项目的精神疾病症状自评快速筛选问卷(FSQ-MIS),以快速识别精神疾病症状。FSQ-MIS在3828名青壮年精神障碍患者和984名健康对照上进行了验证。我们应用主成分分析(PCA)、受试者工作特征(ROC)曲线和一般对数线性分析(GLA)来评估结构和平行效度。结果表明,该量表具有较高的重测信度(0.852)和分半信度(0.844)。用主成分分析得到的6个因子解释了54.3%的方差,并与其他广泛使用的量表显示出很高的相关性。ROC结果(0.716-0.983)表明FSQ-MIS具有较高的效标效度。GLA显示了FSQ-MIS在预测新冠肺炎焦虑和抑郁患病率方面的优势,支持了FSQ-MI作为研究和临床实践工具的有效性。
The COVID-19 pandemic has caused massive effects on the situation of public mental health. A fast online questionnaire for screening and evaluating mental symptoms is urgent. In this work, we developed a new 19-item self-assessment Fast Screen Questionnaire for Mental Illness Symptoms (FSQ-MIS) to quickly identify mental illness symptoms. The FSQ-MIS was validated on a total of 3828 young adult mental disorder patients and 984 healthy controls. We applied principal component analysis (PCA), receiver operating characteristic (ROC) curve, and general log-linear analysis (GLA) to evaluate the construct and parallel validity. Results demonstrate that the proposed FSQ-MIS shows high test-retest reliability (0.852) and split-half reliability (0.844). Six factors obtained using PCA explained 54.3% of the variance and showed high correlations with other widely used scales. The ROC results (0.716–0.983) revealed high criterion validity of FSQ-MIS. GLA demonstrated the advantage of FSQ-MIS in predicting anxiety and depression prevalence in COVID-19, supporting the efficiency of FSQ-MIS as a tool for research and clinical practice.
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DOI: 10.3389/fpsyg.2021.706601
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