Objective:To explore the current situation of anxiety, subjective well-being in occupational population and the mediating effect of resilience.Methods:From March 24th to 26th, 2020, a cross-sectional survey was conducted among occupational population aged ≥18 years old using online questionnaires. A total of 2134 valid questionnaires were obtained, with respondents from 30 provinces, autonomous regions, and municipalities directly under the Central Government. Their general demographic data, subjective well-being, anxiety, and resilience were collected. Pearson χ 2 test and Spearson correlation analysis were used for data analysis, and structural equation model was used to explore the mediating effect of resilience on anxiety and subjective well-being. Results:The age of the respondents ranged from 18 to 60 years old, with an average age of (31.19±7.09) years old, including 1075 (50.4%) women and 1059 (49.6%) men. The positive rates of low subjective well-being and anxiety were 46.5% (992/2134) and 28.4% (607/2134), respectively. Anxiety scores were significantly negatively correlated with subjective well-being scores and resilience scores ( rs=-0.52, -0.41, P<0.05), while resilience was significantly positively correlated with subjective well-being ( rs=0.32, P<0.05). Structural equation models showed that anxiety had a negative predictive effect on subjective well-being, while resilience not only had a positive predictive effect on subjective well-being, but also played a mediating role between anxiety and subjective well-being, with a mediating effect of 9.9%. Conclusion:The situation of anxiety and well-being in the occupational population is still not optimistic, and resilience has a mediating effect between anxiety and subjective well-being.

Objective: To understand the current situation of the hesitation of COVID-19 vaccines among Chinese residents, analyze the factors of vaccine hesitancy based on the 3Cs model, and to provide reference for population intervention. Methods: From Dec 31, 2020 to Jan 11, 2021, a convenience sampling method was adopted to conduct an online survey of residents in 34 provinces, cities and autonomous regions across the country.The survey content included demographic characteristics, vaccine hesitancy, and the dimensions of the 3Cs (confidence, complacency, and convenience) model.We analyzed the influence of demographic characteristics on vaccine hesitancy by χ2 test.Logistic regression was used to evaluate the effects of 3Cs variables on vaccine hesitancy. Results: A total of 2 531 respondents were surveyed.Their average age was (33.9±8.9) years old, male to female ratio was 1:1.42, and vaccine hesitating respondents accounted for 44.3%.Logistic regression analysis found that gender (ORfemale=1.33, 95%CI: 1.12-1.58), monthly income (compared with 10 000=1.57, 95%CI: 1.25-1.97), healthcare workers(ORno=1.39, 95%CI: 1.12-1.73), and confidence (OR=0.47, 95%CI: 0.40-0.56) and complacency (OR=2.49, 95%CI: 2.10-2.96) in the 3Cs model showed statistically significant impacts on the hesitation of COVID-19 vaccines. Conclusion: The confidence and complacency dimensions in the 3Cs model have an impact on the hesitation of COVID-19 vaccines.Future interventions can focus on improving the public's confidence and reducing complacency associated with COVID-19 vaccines to increase the vaccination rate. © 2021, Editorial Department of Fudan University Journal of Medical Sciences. All right reserved.

BackgroundThe health and safety climate of workplace has an important impact on the physical and mental health of workers. There is no available scale for the evaluation of workplace health and safety climate in China at present.ObjectiveThis study aims to sinicize and evaluate the reliability and validity of the Health and Safety Climate Survey.MethodsThe English version of Health and Safety Climate Survey was translated to Chinese and back-translated to English, and followed by expert evaluation to develop a Chinese version. Quota sampling method was used to select 2600 employees from 16 enterprises and public institutions in Pudong New Area of Shanghai and to evaluate the reliability and validity of the Chinese version of the scale. Structural validity, convergent validity, and discriminant validity were included in validity evaluation. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to test structural validity. In EFA, an acceptable factor loading of items on their respective dimensions was > 0.60. In CFA, an acceptable root mean square error of approximation (RMSEA), a standard absolute fitness index, was < 0.05. Comparative fit index (CFI) and parsimony-adjusted non-normed fit index (PNFI), measures of incremental improvement and fit, > 0.90 indicated a good fit. Convergent validity was evaluated by average variance extracted (AVE), and an AVE > 0.50 indicated good convergent validity. Discriminant validity was determined as good by the square root of AVE greater than the correlation coefficient between latent variables. Cronbach’s α coefficient was used to evaluate the internal consistency of the scale; the internal consistency considered was very good with an α > 0.90. Cronbach’s α coefficient may cause underestimation of reliability in the case of error correlation. Therefore, composite reliability (CR) calculated based on structural equation model >0.70 indicated that the CR was good.ResultsThe response rate was 95.69%. The Chinese version of Health and Safety Climate Survey included 22 items belonging to six dimensions which was extracted by the EFA, and the cumulative variance contribution rate was 74.79%. The corrected RMSEA was 0.045, the PNFI was 0.970, and the CFI was 0.975 in the CFA, indicating good fit. The dimensional AVE values were all greater than 0.50, indicating good CV. The square root of AVE was greater than the correlation coefficient between latent variables, indicating good DV. The Cronbach’s α was 0.90 for the total scale and were above 0.70 for all dimensions. The CR was 0.93 for the total scale and were above 0.70 for all dimensions, indicating that the overall reliability of the scale was good.ConclusionThe Chinese version of Health and Safety Climate Survey has good reliability and validity, and can be further improved in field application.

Background Generalized Anxiety Disorder (GAD) is a common but urgent mental health problem during disease outbreaks. Resilience buffers against the negative impacts of life stressors on common internalizing psychopathology such as GAD. This study assesses the prevalence of GAD and examines the protective or compensatory effect of resilience against worry factors during the COVID-19 outbreak. Methods A cross-sectional online survey was conducted among Chinese citizens aged ≥18 years from January 31 to February 2, 2020. A total of 4827 participants across 31 provinces and autonomous regions of the mainland of China participated in this study. The Generalized Anxiety Disorder scale (GAD-7), the Connor-Davidson Resilience Scale (CD-RISC), and a self-designed worry questionnaire were used to asses anxiety disorder prevalence, resilience level, and anxiety risk factors. Multivariable logistic regression was used to identify the associations of resilience and worry factors with GAD prevalence after controlling for other covariates. Results The prevalence of anxiety disorder was 22.6% across the 31 areas, and the highest prevalence was 35.4% in Hubei province. After controlling for covariates, the results suggested a higher GAD prevalence among participants who were worried about themselves or family members being infected with COVID-19 (adjusted odds ratio, AOR 3.40, 95%CI 2.43–4.75), worried about difficulty obtaining masks (AOR 1.92, 95%CI 1.47–2.50), worried about difficulty of distinguishing true information (AOR 1.65, 95%CI 1.36–2.02), worried about the prognosis of COVID-19 (AOR 2.41, 95%CI 1.75–3.33), worried about delays in working (AOR 1.71, 95%CI 1.27–.31), or worried about decreased income (AOR 1.45, 95%CI 1.14–1.85) compared with those without such worries. Additionally, those with a higher resilience level had a lower prevalence of GAD (AOR 0.59, 95%CI 0.51–0.70). Resilience also showed a mediating effect, with a negative influence on worry factors and thereby a negative association with GAD prevalence. Conclusion It may be beneficial to promote public mental health during the COVID-19 outbreak through enhancing resilience, which may buffer against adverse psychological effects from worry factors.

Objectives The aims of this study were to assess the uptake of preventive behaviour during the COVID-19 outbreak and to investigate the factors influencing the uptake of preventive behaviour based on the theory of planned behaviour (TPB）.Design, setting and participants A cross-sectional online survey was conducted among Chinese residents aged ≥18 years and 4827 participants from 31 provinces and autonomous regions were included in the current study. Uptake of preventive behaviour, attitude towards the spread of COVID-19 and preventive behaviour, subjective norms, perceived behavioural control, demographic characteristics and the information attention and processing mode were measured. Multivariate logistic regressions were used to identify associations between the potential influencing factors and uptake of preventive behaviour.Results There were 2393 (52.8%) respondents reported high uptake of preventive behaviour. Multivariate analyses demonstrated that attitude towards the behaviour, subjective norms and perceived behavioural control were significantly correlated with uptake of preventive behaviour, and perceived behavioural control was the strongest influencing factor (OR=4.09, 95% CI 3.57 to 4.69). Furthermore, systematic information processing mode was positively associated with high uptake of preventive behaviour compared with heuristic information processing mode (OR=2.16, 95% CI 1.67 to 2.81).Conclusions These findings are helpful for developing education and interventions to promote high uptake of preventive behaviour and enhance public health outcomes during pandemic.

目的 调查上海市浦东新区中老年人群中体重指数(body mass index,BMI)与抑郁症状现况,探究其可能的关联,为社区心理健康促进提供建议.方法 采用2019年"上海市浦东新区健康城市建设评估项目"数据,该项目采用配额抽样的方法,共调查6000名浦东新区常住居民.本次研究共纳入40岁以上中老年人2823例,调查内容包括研究对象的基本情况、生活方式、主观幸福感和抑郁症状等.应用个人幸福指数量表(Personal Well-being Index,PWI)评估主观幸福感,PHQ-9量表评估抑郁症状.根据BMI将对象分为正常、超重及肥胖3组.运用单因素χ2检验比较不同特征组间抑郁症状现患率的差异;应用Logistic回归分析BMI与抑郁症状的关联.结果 调查的2823例中老年人中超重者占38.5％,肥胖者占6.7％,抑郁症状现患率为46.5％;其中BMI正常组、超重组及肥胖组的抑郁症状现患率为44.7％、47.4％及56.1％.控制社会人口学因素、自评经济状况、自评健康状况和主观幸福感、生活方式等因素后发现,在男性中老年人中,与BMI正常组相比,超重组(OR=1.342,95％CI:1.053～1.710)和肥胖组(OR=1.960,95％CI:1.208～3.179)出现抑郁症状的风险均高于正常组(P<0.05);在女性中老年人中,超重和肥胖与抑郁症状的关联均无统计学意义.结论 BMI与中老年居民的抑郁症状相关,超重和肥胖可能是浦东新区40岁以上中老年男性抑郁的危险因素,在社区抑郁症状干预中需要优先关注中老年男性超重与肥胖人群.

目的 探索2019冠状病毒病(COVID-19)暴发疫情下公众的心理状况及影响因素,为心理健康干预提供依据.方法 自2020年1月31日至2月2日采用线上问卷开展横断面调查.以中国各地受疫情影响的成年人为调查对象,问卷包括人口学资料、焦虑情况、心理弹性与自拟压力源量表,并采用x2检验与Logistic回归分析进行统计分析.结果 共获得4 827份有效问卷,平均年龄(32.3±10.0)岁,女性占67.7％,有湖北暴露史者仅占7.9％,而小区有疑似或确诊病例者占14.8％.GAD-7平均得分为6.29±5.48,中重度焦虑现患率为22.6％.以中重度焦虑为因变量,Logistic回归分析发现对COVID-19有中、高等了解(OR: 2.74～7.97,P＜0.001)和对传播风险的感知强(OR=1.74,95％CI: 1.37～2.20)会显著增加焦虑风险.此外年龄为35～44岁、离退休或非专业技术人员、有湖北暴露史、小区有确诊或疑似病例也是焦虑的危险因素(P＜0.05),而本科及以上学历和心理弹性是焦虑的保护因素(P＜0.05).结论 疫情暴发下对COVID-19信息的过度关注和对传播风险的感知会增加焦虑风险.公众普遍出现焦虑,应当加强心理干预,增加社会支持并提高心理弹性.

Huge citizens expose to social media during a novel coronavirus disease (COVID-19) outbroke in Wuhan, China. We assess the prevalence of mental health problems and examine their association with social media exposure. A cross-sectional study among Chinese citizens aged≥18 years old was conducted during Jan 31 to Feb 2, 2020. Online survey was used to do rapid assessment. Total of 4872 participants from 31 provinces and autonomous regions were involved in the current study. Besides demographics and social media exposure (SME), depression was assessed by The Chinese version of WHO-Five Well-Being Index (WHO-5) and anxiety was assessed by Chinese version of generalized anxiety disorder scale (GAD-7). multivariable logistic regressions were used to identify associations between social media exposure with mental health problems after controlling for covariates. The prevalence of depression, anxiety and combination of depression and anxiety (CDA) was 48.3% (95%CI: 46.9%-49.7%), 22.6% (95%CI: 21.4%-23.8%) and 19.4% (95%CI: 18.3%-20.6%) during COVID-19 outbroke in Wuhan, China. More than 80% (95%CI:80.9%-83.1%) of participants reported frequently exposed to social media. After controlling for covariates, frequently SME was positively associated with high odds of anxiety (OR = 1.72, 95%CI: 1.31-2.26) and CDA (OR = 1.91, 95%CI: 1.52-2.41) compared with less SME. Our findings show there are high prevalence of mental health problems, which positively associated with frequently SME during the COVID-19 outbreak. These findings implicated the government need pay more attention to mental health problems, especially depression and anxiety among general population and combating with "infodemic" while combating during public health emergency.