Abstract
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.
【초록키워드】 COVID-19, Anxiety, Depression, reliability, mental health, COVID-19 pandemic, Symptoms, principal component analysis, Prevalence, ROC, Screen, Research, Patient, Validity, characteristic, questionnaire, Clinical practice, Analysis, PCA, Efficiency, Factor, high correlation, criterion, healthy controls, mental illness, disorder, illness, Effect, Mental, Result, identify, evaluate, caused, applied, explained, demonstrated, GLA, mental symptom, 【제목키워드】 COVID-19 pandemic, Symptom, questionnaire, mental illness,