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Targeted public health interventions for an emerging epidemic are essential for preventing pandemics and reducing their impact on health and society. During 2020–2022, China invested significant efforts in strict zero-COVID policies to contain outbreaks of varying scales caused by different SARS-CoV-2 variants. This presented a unique opportunity to utilise a real-world dataset to investigate the effects and challenges of public health interventions aimed at eliminating local transmission of emerging or introduced respiratory infections in diverse settings. Based on a multi-year empirical dataset containing 131 outbreaks observed in China from April 2020 to May 2022 and simulated scenarios, we ranked the relative effectiveness of the public health interventions by their reduction in instantaneous reproduction number. We found that, overall, reducing physical contact between individuals was most effective (median 23%, interquartile range [IQR] 20–26%), followed by the use of face masks (19%, IQR 16–23%) and close contact tracing (15%, IQR 14–16%). However, contact tracing played a more critical role in containing outbreaks during the initial phases, but as the spread persisted, social distancing measures became increasingly prominent and mass screening likely had little effect. In addition, these measures struggled to zero out infections that had high transmissibility and a short latent period, regardless of population size. Our findings provide quantitative insights on the impacts of different rapid public-health responses against emerging contagions with varying epidemiological and socio-economic contexts.

To investigate the associations of job-related psychological flexibility, coping style and personality types with and their interactions in depression in Chinese physicians. A cross-sectional survey of 444 physicians was conducted by using the convenience sampling method in the municipal hospitals in Zhengzhou, Henan province. Center for Epidemiological Studies Depression, Work-related Acceptance and Action Questionnaire, the Simplified Coping Style Questionnaire and Eysenck Personality Questionnaire-Revision Short Scale of China were administered to each participant. Depression tendency scores were significantly higher in healthcare workers with intermediate title, age 31 and older, introvert unstable personality than other counterparts, (P .01). Female and extrovert stable healthcare workers had significantly higher coping score than male and other personality types (P .05). The scores of job-related psychological flexibility in healthcare workers with Introvert Stable or working in emergency department were significantly higher than their counterparts (P .01). General linear model algorithm of machine learning showed that Extrovert Unstable was the main risk factor for depression (β = 6.74), followed by Extrovert Stable (β = -4.90), negative coping, positive coping, and length of service. Multivariate regression models showed that a significant interaction existed between coping style, work-related psychological flexibility and Extroversion (β = -0.103, P .05), independently explaining 0.7% variance of depression, and that a significant interaction existed between coping style, work-related psychological flexibility and neuroticism (β = 0.116, P .05), independently explaining 1.0% variance of depression. Interactions existed between personality types, coping style and work-related psychological flexibility in depression tendency in Chinese healthcare workers, with neuroticism (extrovert unstable) being a risk factor and extroversion (extrovert stable) being a protective factor. Precision prevention strategies could be made based on personality types to reduce depression in health workers.

Xiangzhi Jing,1 Hongling Meng,2 Yuping Li,2 Lingeng Lu,3 Yongcheng Yao2 1School of Medicine, Xinyang Vocational and Technical College, Xinyang, People’s Republic of China; 2School of Mathematics and Statistics, Zhengzhou Normal University, Zhengzhou, People’s Republic of China; 3Department of Chronic Disease Epidemiology, Yale School of Public Health, School of Medicine, Yale University, New Haven, CT, USACorrespondence: Yongcheng Yao, Zhengzhou Normal University, Zhengzhou, Henan, 450044, People’s Republic of China, Email 806306944@qq.comBackground: COVID-19 lockdown can lead to mental health problem, and the problem is heterogeneous across individuals. In this study, we aimed to explore the association between the self-reported health status, emotional coping style, emotional intelligence and positive psychological state of college students during the COVID-19 pandemic in China.Methods: The questionnaires of Self-rated Health Measurement Scale (SRHMS), Emotional Intelligence Scale (EIS), Psychological Capital Questionnaire (PCQ), Simplified Coping Style Questionnaire (SCSQ) were used for online survey. The study included 367 undergraduates.Results: Undergraduate sex, sibling and birth of place were associated with either psychological capital scores or emotional intelligence. Online time per day had significantly negative associations with self-rated health and psychological capital scores. Multivariate analysis showed that the interaction between emotional intelligence, psychological capital and coping styles was statistically significant (β = − 0.112, p = 0.045) in health status with psychological capital ranking the top (β = 0.428). Mediation analysis showed that psychological capital and coping style modified the effect of emotional intelligence on health status.Conclusion: Psychological capital and coping style modified the effect of emotional intelligence on health status in college students during the COVID-19 pandemic. In this pandemic emergency, a comprehensive intervention, such as positive coping styles with optimistic emotional perception and understanding as well as social support, is an important measure against the pandemic-induced mental health problem in college students in China.Keywords: college students, coping style, emotional intelligence, health status, psychological capital

The study aimed to explore the role of interpersonal relationship and self-acceptance as potential moderator of the relationship between emotional intelligence and mental health of college students in China. The online survey platform “Questionnaire Star” was conducted among 367 undergraduates. The questionnaires of self-rated health measurement scale, emotional intelligence scale, interpersonal relationship assessment scale, and self-acceptance questionnaire was used for questionnaire survey and analysis. The self-rated health status was positively correlated with emotional intelligence and self-acceptance (r=0.541, 0.598, p

Objective To explore the relationship between the self-reported health status, emotional coping style, emotional intelligence and positive psychological state of college students during the COVID-19 pandemic. Methods The questionnaires of Self-rated Health Measurement Scale (SRHMS), Emotional Intelligence Scale (EIS), Psychological Capital Questionnaire (PCQ), Simplified Coping Style Questionnaire (SCSQ)were used for online survey. The study included 367 undergraduates. Results Male undergraduates had significantly higher psychological capital scores than female (P P P P P β=-0.045,P β = 21.277). Conclusion: Sex, having siblings or not, birth place and online time per day affected health status, emotional intelligence, and psychological capital in undergraduate students. Coping style is a main positive factor that affects health, which was modified by emotional intelligence and psychological capital. In this pandemic emergency, positive coping style with optimistic emotional perception and understanding is an important measure against the pandemic-induced health problem.

Background: To investigate the relationship of job burnout, depression, with job performance among nurses and to construct a job performance model. Methods: Questionnaires were administered to 792 nurses working in 5 hospitals in Zhengzhou, Henan province, China from July to August in 2015. Results: Of the 792 nurses, statistically significant differences were found in the age, educational status, years working, department, job title, and personality types with respect to burnout, depression, and job performance ( P

Objectives This study aimed to investigate the prevalence of work-related musculoskeletal disorders (WMSD) in nurses, and to explore the association of work style and physical exercise with WMSD in this professional group. Material and Methods In this study, a cross-sectional survey design was applied. A questionnaire survey was conducted on 692 nurses in 5 municipal hospitals, in the period August–October 2015. The survey included personal information, lifestyle, physical exercise and symptoms of WMSD. Chi 2 test and logistic regression were used to identify the risk factors of WMSD. Results The prevalence of WMSD was 84% in all parts of the body in the previous year, with the highest prevalence in the neck (68.2%), followed by waist (67.6%) and shoulder (54.6%). Both univariate and multivariate analyses showed that physical exercise, night shifts and staying up late were associated with WMSD in nurses. The lack of exercise, night shifts and a tendency to stay up significantly increased the risk of WMSD (p < 0.05). Conclusions The prevalence of musculoskeletal disorders among the municipal hospital nursing staff is high. An elevated risk of WMSD is observed in nurses who do not do exercises, work shifts and stay up late. Int J Occup Med Environ Health. 2019;32(1):15–24

Objective To evaluate the effects of mouse embryonic palatal mesenchymal (MEPM) cells by 2,3,7,8-tetrachlorodibenzo- p -dioxin (TCDD) induced. Study design An experimental study at Xinxiang Medical University. Methods Primary MEPM cells were derived from palatal tissue on 30 pregnant C57BL/6 female mice (embryonic day13, GD13). The MEPM cells were placed in a humidified incubator at 37 °C with 5% CO 2 atmosphere with media replaced every other day. The third passage cells were seeded, and one part of cells were treated with 10 nM TCDD (TCDD group). And others were treated with DMSO (≤0.05%, as control group). After 72 h, MTT assay was analysed cell viability. Scratch wound-healing was analysed cell motility. Flow cytometry was analysed cell apoptosis and cycle. Western blot was analysed the expression of cyclinE, CDK2, P16 and P21. Results TCDD inhibited the growth and migration of MEPM cells, while increased cell apoptosis. TCDD exposure inhibited the progression of cells from G1 to S phase and tended to reduce the number of cells entering the G2/M phase. TCDD inhibited expression of cyclinE and CDK2 at the protein level, instead increased the expression of P16 and p21 proteins. Conclusions TCDD might induce cleft palate by altering MEPM cells.

Objective The aim of the present study was to investigate the relationship between job burnout and neurotransmitter levels in medical staff. Methods A total of 80 medical staff were enrolled in the study and assessed for occupational burnout using the Maslach Burnout Inventory – General Survey (MBI-GS). The levels of neurotransmitters in the cerebral cortex were analysed using an SP03 encephalofluctuograph. Results The levels of the neurotransmitters γ-aminobutyric acid, 5-hydroxytryptamine (5-HT), norepinephrine (NE), glutamate, acetylcholine (Achl) and dopamine (DA) were significantly lower in men than in women. Medical staff with lower levels of exhaustion had significantly higher neurotransmitter levels than staff with moderate levels of exhaustion. However, there was no significant interaction between sex and exhaustion on neurotransmitter levels. Canonical correlation showed that exhaustion was positively associated with 5-HT and DA, but negatively associated with NE and Achl, regardless of age and sex. Conclusion Neurotransmitter levels in the cerebral cortex were associated with job-related burnout in medical staff. The findings suggest that long-term job-related burnout may lead to behavioural and psychiatric disorders.

Supplementary questionnaire. Occupational health questionnaire of burnout, general self-efficacy, personality and stress used in this study. (DOC 143Â kb)

Supplemental Digital Content is available in the text, Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) and region of interest (ROI) analyses. However, these analyses can only detect group-wise differences and thus, have a poor predictive value for individuals. In the present study, we applied a machine learning method that combined support vector machine (SVM) with recursive feature elimination (RFE) to discriminate SZ patients from normal controls (NCs) using their structural MRI data. We first employed both VBM and ROI analyses to compare gray matter volume (GMV) and white matter volume (WMV) between 41 SZ patients and 42 age- and sex-matched NCs. The method of SVM combined with RFE was used to discriminate SZ patients from NCs using significant between-group differences in both GMV and WMV as input features. We found that SZ patients showed GM and WM abnormalities in several brain structures primarily involved in the emotion, memory, and visual systems. An SVM with a RFE classifier using the significant structural abnormalities identified by the VBM analysis as input features achieved the best performance (an accuracy of 88.4%, a sensitivity of 91.9%, and a specificity of 84.4%) in the discriminative analyses of SZ patients. These results suggested that distinct neuroanatomical profiles associated with SZ patients might provide a potential biomarker for disease diagnosis, and machine-learning methods can reveal neurobiological mechanisms in psychiatric diseases.

To analyze the job burnout and mental health status of clinicians and the relationship of personality with job burnout and psychological stress, and to investigate the direct or indirect effects of personality on psychological stress.Maslach Burnout Inventory-General Survey (MBI-GS), Eysenck Personality Questionnaire-Revised Short Scale (EPQ-RSC), and Kessler 10 Scale were administered to 775 clinicians.Of all clinicians, 29.5% had mild burnout, with a score of 22.7 ± 8.18 for psychological stress risk. The effect of personality on emotional exhaustion and cynicism was greater than that on personal accomplishment. Clinicians with a personality of introversion, neuroticism, and psychoticism suffered a higher risk of psychological stress. Personality had both direct and indirect effects on psychological stress. Neuroticism had the strongest effect on psychological stress, with an effect size of 0.55.Clinicians have a high level of both job burnout and mental psychological stress risk. Personality is significantly correlated with job burnout and psychological stress risk. Measures depending on personality should be taken for effective intervention.

The objectives of this study were to determine reliability of Chinese version of Acceptance and Action Questionnaire-II (AAQ-II), the relationship between psychological acceptance (PA), and burnout syndrome and their risk factors among nurses in China. The reliability of AAQ-II in Chinese was evaluated first by testing on 111 doctors and 108 nurses in China. On the number of 845 nurses selected from nine city hospitals by using stratified cluster sampling method, the Maslach Burnout Inventory-General Survey was administered to establish the presence of burnout, and the AAQ-II was used to measure their PA. Results showed that the AAQ-II in Chinese had a good test-retest reliability. PA was statistically significantly negatively correlated to the three dimensionalities of burnout among nurses in China. Male and female nurses had a significant difference in PA. Risk factors for burnout were age (25-44 years), marital status (married), gender (male), hospital department (emergency) and position (primary title) as well as PA. The findings provide insights into the risk factors of burnout in Chinese nurses and may have clinical implications in preventing burnout in Chinese nurses.