Objective To investigate the characteristics and influencing factors of mental health status of permanent residents in Yichang, Hubei Province. Methods A total of 9 576 permanent residents aged 18 years and older from Yichang City were selected by a multistage random sampling method between June and October 2022. The PHQ-9 was used to assess the residents’ depressive symptoms, the GAD-7 was used to assess their anxiety symptoms, the ISI was used to assess their insomnia status, and the PCL-5 was used to assess their stress status. The influence factors of depression and anxiety were analyzed using χ2 test and logistic regression. Results A total of 9 122 valid questionnaires were completed. The detection rate of depression, anxiety, insomnia, and stress symptoms were 29.98%, 19.03%, 11.97% and 1.58%, respectively. Gender, education level, monthly family income, self-rated health status, mental health literacy level, total GAD-7 score, total ISI score, and total PCL-5 score were the main factors that caused residents' anxiety symptoms, while gender, education level, self-rated health status, total PHQ-9 score, total ISI score, and total PCL-5 score were the main factors that caused residents' anxiety symptoms. Conclusion The prevalence of depression and anxiety is high among the permanent residents in Yichang, while the situation of insomnia and stress is relatively good. Measures such as improving the level of mental health literacy can be taken to improve mental health level of residents in Yichang.

Objective To establish a scientific, comprehensive, and operable community resilience evaluation index system for emergent major infectious diseases. Methods Based on the social ecosystem theory, a preliminary evaluation index system was formed by using content analysis and boundary analysis. The index system was then supplemented and revised through panel discussions. The final index system and index weights were clarified by two rounds of Delphi method. Results The expert positive coefficient, expert authority coefficient, and expert coordination coefficient of the two rounds of expert consultations were examined. According to the screening principle of the ^“threshold method^”, the indicators were screened, and the weights of each indicator were determined in the second round of Delphi expert consultation. The analysis of the reliability of the indicator system showed Cronbach's α= 0.399 , indicating that the indicator system had a relatively high reliability. Factor analysis was carried out on 7 primary indicators, and the measure of sampling adequacy (MSA) values were all greater than 0.5, which passed the validity test. Conclusion A set of evaluation index system that can accurately reflect the resilience level of communities with emergent major infectious diseases has been constructed, including 7 primary indicators, 21 secondary indicators, 54 tertiary indicators, and 108 tertiary indicators, which has realized the quantitative evaluation of the hidden resilience level of communities.