The impact of employment stress on college students: psychological well-being during COVID-19 pandemic in China.

Employment among final year college students in China has encountered unprecedented difficulties during the Coronavirus disease 2019 (COVID-19) pandemic, the high unemployment rate had led college graduates faced inadvertently mental health issues such as anxiety and depression. This study aims to investigate the impact of employment stress on college students' psychological well-being during the COVID-19 pandemic in China. An online survey consisting of demographic items (i.e., age, gender, subject major, type of university, and perceived severity of the current employment situation), Employment Stress scale, Employment Anxiety Scale, and Patient Health Questionnaire was employed for data collection. A total of 2,627 final year college students were recruited, with participants displayed below moderate levels of employment stress and anxiety. Approximately 13.2% of participants were depressed and 53.3% considered the current employment situation as severe. Female students were stressed by individual factors and anxious, whilst male students were more depressed. Arts students were less depressed and students from comprehensive universities were more depressed and anxious compared to other types of universities. Students who perceived the employment situation as very severe displayed the lowest level of employment stress and anxiety. Gender, university type, family stress, college stress, and individual stress are predictors of psychological well-being among college students. The family environment, female identity, and stress from university play a crucial role in college students' psychological well-being. The government should pay more attention to the psychological well-being of graduate students and develop feasible measures to help them secure a job during this unprecedented time.

Associations between eHealth literacy, mental health-seeking attitude, and mental wellbeing among young electronic media users in China during the COVID-19 pandemic

Objective This study aimed to examine the associations among mental health related eHealth literacy (eHL), mental health-seeking attitude, and wellbeing among Chinese young electronic media users during the COVID-19 pandemic. Methods A web-based cross-sectional survey was conducted in Guangzhou, China. The modified eHealth literacy Scale, Mental Help-Seeking Attitudes Scale, and Short Warwick-Edinburgh Mental Wellbeing Scale were used. Structural equation modeling (SEM) examined the associations between them and was adjusted by several controlled variables. Results Totally, 1,008 participants completed the questionnaire and provided valid responses. The eHL showed a statistically significant and direct effect on mental wellbeing in this sample. The higher the level of eHL, the better wellbeing of the participants. The mental health-seeking attitude is also positively correlated with mental wellbeing, indicating that the more positive attitude toward seeking mental health services, the better the wellbeing participants reported. The higher level of eHL is significantly associated with a more positive attitude toward seeking mental health services. Conclusion Training to improve eHL may optimize young electronic media users' mental health outcomes. Development and use of a mental health specific eHL instrument in future studies should be encouraged.

Associations between eHealth literacy, mental health-seeking attitude, and mental wellbeing among young electronic media users in China during the COVID-19 pandemic.

Objective: This study aimed to examine the associations among mental health related eHealth literacy (eHL), mental health-seeking attitude, and wellbeing among Chinese young electronic media users during the COVID-19 pandemic. Methods: A web-based cross-sectional survey was conducted in Guangzhou, China. The modified eHealth literacy Scale, Mental Help-Seeking Attitudes Scale, and Short Warwick-Edinburgh Mental Wellbeing Scale were used. Structural equation modeling (SEM) examined the associations between them and was adjusted by several controlled variables. Results: Totally, 1,008 participants completed the questionnaire and provided valid responses. The eHL showed a statistically significant and direct effect on mental wellbeing in this sample. The higher the level of eHL, the better wellbeing of the participants. The mental health-seeking attitude is also positively correlated with mental wellbeing, indicating that the more positive attitude toward seeking mental health services, the better the wellbeing participants reported. The higher level of eHL is significantly associated with a more positive attitude toward seeking mental health services. Conclusion: Training to improve eHL may optimize young electronic media users' mental health outcomes. Development and use of a mental health specific eHL instrument in future studies should be encouraged.

Air pollution and CO2 emission inventory of Chinese civil aviation airport

Based on the aircraft take-off and landing data of the Civil Aviation Administration of China,fleet configuration data,and the ICAO aircraft engine emission factor database from 2017 to 2020,the air pollution and CO2 emission inventory of the landing and take-off（LTO） cycle of high-resolution aircraft of civil aviation airport of China were developed from bottom to top.On this basis,the spatial and temporal distribution characteristics of air pollutants and CO2 on air pollution of China Civil Aviation Airport LTO cycle were explored.We analyzed the 3epidemics from 2000 to 2020（SARS in 2003,MERS in 2012,and COVID-19 in 2020）on airport air pollution and CO2 emissions.The results show that the emissions of NOx,CO,HC,SO2,PM,and CO2 in the LTO cycle of civil aviation airports in China in 2020 are 10.90,8.22,0.96,0.28,0.06,1360.27 million tons respectively;The emissions of HC,CO,SO2,and CO2 are the largest in the taxiing stage,accounting for 92.80%,91.56%,41.81% and 41.81% of the total emissions respectively.The emissions of NOx and PM are the largest in the climbing stage,accounting for 47.93% and 37.39% of the total emissions respectively;Air pollutants and CO2 emissions from China's Civil Aviation Airport LTO cycle showed an increasing trend over the past 2017～2019 years,and the total emissions in 2020 were reduced by 22.39% by COVID-19.The most concentrated emission area is the economically developed East region.In the 3 epidemics of the 2000～2020 years,COVID-19 has the most significant impact on the LTO emissions from China's civil aviation airport.

Status And Development Of Online Education Platforms In The Post-epidemic Era

At the beginning of 2020, COVID-19 began to sweep through China, major schools adhering to the concept of "no classrooms instead of classes" and launching online education. The major online education platforms received the "epidemic advantage" and grew. However, on the night of 24 July 2021, when Chinese authorities have introduced a guideline to ease the burdens of excessive homework and off-campus tutoring for students undergoing compulsory education, so that including online education platforms, received a severe blow. As part of the digital economy, the current transformation of the education sector to education informatization, quality education and vocational education may become the vane of the new era.

Associations among eHealth literacy, social support, individual resilience, and emotional status in primary care providers during the outbreak of the SARS-CoV-2 Delta variant.

Objective: This study aimed to investigate eHealth literacy among primary care providers (PCPs) and explore its association with social support, individual resilience, anxiety, and depression during an outbreak of the SARS-CoV-2 Delta variant in Guangzhou, China. Methods: A cross-sectional web-based survey was conducted in 18 community healthcare centers in Guangzhou, China. The responses of 600 PCPs were tagged as valid responses. Information pertaining to their background, eHealth literacy, anxiety, depression levels, social support, and individual resilience was also collected. Multilevel analysis was used to determine the association among the measures to account for the nested random effect of community health centers in different districts. Results: Participants showed a moderate self-perceived level of eHealth literacy (M = 30, SD = 5.8). Participants who reported higher levels of eHealth literacy were more likely to exhibit lower levels of anxiety and depression, higher social support, and greater resilience. After adjusting for background characteristics, the results of the multilevel logistic analysis showed that eHealth literacy was significantly associated with anxiety and depression, social support, and individual resilience. Younger participants and those who were highly educated reported enhanced eHealth literacy. Conclusions: This study presents a baseline reference for eHealth literacy among Chinese PCPs. Improving their ability to search for and use reliable web-based information was beneficial for facilitating perceived social support and raising resilience during the pandemic. Strategies to provide high-quality web-based information to PCPs to self-assess and identify psychological distress at an early stage should be encouraged.

The Impact of COVID-19-Related Work Stress on the Mental Health of Primary Healthcare Workers: The Mediating Effects of Social Support and Resilience.

OBJECTIVE: The psychological condition of healthcare workers since the COVID-19 pandemic has attracted the attention of many studies. However, few have reported on psychosocial problems of primary healthcare workers in the COVID-19 pandemic. This study aimed to examine the mediating roles of social support and resilience in COVID-19-related work stress and symptoms of anxiety and depression. METHODS: A total of 840 primary healthcare workers in 17 community health centers in Guangzhou, China, were recruited from May to July 2021. Data on demographic characteristics, COVID-19-related work stress, social support, resilience, anxiety and depression were collected. A structural equation model was used for mediation analysis. RESULTS: More than half of participants reported mild or more severe (at least borderline abnormal) symptoms of anxiety (68.1%) and depression (55.6%). Social support and resilience mediate the association between COVID-19-related work stress and symptoms of anxiety and depression, respectively. Furthermore, the association between work stress and symptoms of anxiety and depression was also mediated by an accumulation of social support and resilience. The indirect effect of COVID-19-related work stress on anxiety and depression through resilience was much greater than other indirect effects. CONCLUSION: Anxiety and depression were prevalent among primary healthcare workers. This study highlights the psychological impact of the COVID-19-related psychosocial work environment on primary healthcare workers. There is an urgent need to improve working conditions for primary healthcare workers in the COVID-19 and to implement intervention strategies aimed at increasing individual resilience alongside the establishment of external supportive work environments.

Antibody responses to SARS-CoV-2 in patients with COVID-19.

We report acute antibody responses to SARS-CoV-2 in 285 patients with COVID-19. Within 19 days after symptom onset, 100% of patients tested positive for antiviral immunoglobulin-G (IgG). Seroconversion for IgG and IgM occurred simultaneously or sequentially. Both IgG and IgM titers plateaued within 6 days after seroconversion. Serological testing may be helpful for the diagnosis of suspected patients with negative RT-PCR results and for the identification of asymptomatic infections.

Pathogenesis and Mechanism of Gastrointestinal Infection With COVID-19.

As a new infectious disease, COVID-19 is spread through the respiratory tract in most cases. Its source and pathological mechanism are not clear. The most common clinical feature is pulmonary infection. Also, a lot patients have gastrointestinal symptoms. Angiotensin-converting enzyme 2 (ACE2) is a functional cellular receptor for SARS-CoV-2, which is like SARS-CoV, a coronavirus associated with severe acute respiratory syndrome (SARS) outbreak in 2003. The tissues and cells expressing ACE2 are potential targets for SARS-CoV-2 infection, and the high expression of ACE2 in intestinal epithelial cells marks that SARS-CoV-2 may directly infect intestinal epithelial cells. Recent studies also suggest that SARS-CoV-2 existed and replicated in intestinal environment for a long time. The interaction between SARS-CoV-2 and RAS system leads to the decrease of local anti-inflammatory ability. The virus cycle leads to excessive imbalance of immune response and cytokine release. The downregulation of ACE2 after viral infection leads to gastrointestinal dysfunction. The above are the causes of gastrointestinal symptoms. Here, we reviewed the possible causes and mechanisms of gastrointestinal symptoms caused by COVID-19. Additionally, we discussed the influence of gastrointestinal symptoms on the prognosis of patients.

The Effectiveness of Far-Ultraviolet (UVC) Light Prototype Devices with Different Wavelengths on Disinfecting SARS-CoV-2

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a serious threat to human health worldwide. The inactivation of SARS-CoV-2 on object surfaces and in the indoor air might help to halt the COVID-19 pandemic. Far-ultraviolet light (UVC) disinfection has been proven to be highly effective against viruses and bacteria. To understand the wavelength and duration of UVC radiation required for SARS-CoV-2 inactivation, we examined the efficacy of UVC light prototype devices with the wavelengths of 275, 254, and 222 nm. The disinfection effectiveness was determined by cell-based assays including the median tissue culture infectious dose (TCID50) and an immunofluorescent assay on African green monkey kidney epithelial Vero E6 cells. Among the three prototypes, the UVC LED (275 nm) had the best virucidal activity with a log-reduction value (LRV) >6 after 10 s of exposure. The mercury lamp (254 nm) reached similar virucidal activity after 20 s of exposure. However, the excimer lamp (222 nm) showed limited anti-SARS-CoV-2 activity with a LRV < 2 after 40 s of exposure. Overall, in comparison, the UVC LED (275 nm) exhibited superior SARS-CoV-2 disinfection activity than the mercury lamp (254 nm) and the excimer lamp (222 nm).

Impact of the COVID-19 pandemic on intention to use traditional Chinese medicine: A cross-sectional study based on the theory of planned behavior.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) has become an increasingly severe public health emergency. Although traditional Chinese medicine (TCM) has helped to combat COVID-19, public perception of TCM remains controversial. We used the theory of planned behavior (TPB) to identify factors that affect the intention to use TCM. METHODS: A cross-sectional web-based survey of 10,824 individuals from the general public was conducted between March 16 and April 2, 2020. The participants were recruited using a snowball sampling method. Data were collected using a self-administered questionnaire, based on the TPB. The questionnaire consisted of demographic characteristics and TPB structures. Structural equation modeling was used to identify predictors of intention. RESULTS: The results indicated the model explained 77.5% and 71.9% of intention and attitude variance. Intention to use TCM had the strongest relationship with attitude (P < 0.001), followed by past behavior (P < 0.001), subjective norms (P < 0.001) and perceived behavioral control (P < 0.001). Attitudes toward TCM were significantly affected by perceived behavioral control (P < 0.001), subjective norms (P < 0.001) and cognition of TCM (P < 0.001). CONCLUSION: Attitude is a key factor in determining the intention to use TCM, followed by past behaviors, subjective norms and perceived behavioral control. Our results offer important implications for health policy makers to promote the use of TCM.

Clinical Characteristics, Risk Factors and Predictive Value of COVID-19 Pneumonia: A Retrospective Study of 173 Patients in Wuhan, China (preprint)

Background: COVID-19 is a globally emerging infectious disease. As the global epidemic continues to spread, the risk of COVID-19 transmission and diffusion in the world will also remain. Currently, several studies describing its clinical characteristics have focused on the initial outbreak, but rarely to the later stage. Here we described clinical characteristics, risk factors for disease severity and in-hospital outcome in patients with COVID-19 pneumonia from Wuhan. Methods: Patients with COVID-19 pneumonia admitted to Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from February 13 to March 8, 2020, were retrospectively enrolled. Multivariable logistic regression analysis was used to identify risk factors for disease severity and in-hospital outcome and establish predictive models. Receiver operating characteristic (ROC) curve was used to assess the predictive value of above models.Results: 106 (61.3%) of the patients were female. The mean age of study populations was 62.0 years, of whom 73 (42.2%) had underlying comorbidities mainly including hypertension (24.9%). The most common symptoms on admission were fever (67.6%) and cough (60.1%), digestive symptoms (22.0%) was also very common. Older age (OR: 3.420; 95%Cl: 1.415-8.266; P=0.006), diarrhea (OR: 0.143; 95%Cl: 0.033-0.611; P=0.009) and lymphopenia (OR: 4.769; 95%Cl: 2.019-11.266; P=0.000) were associated with severe illness on admission; the area under the ROC curve (AUC) of predictive model were 0.860 (95%CI: 0.802-0.918; P=0.000). Older age (OR: 0.309; 95%Cl: 0.142-0.674; P=0.003), leucopenia (OR: 0.165; 95%Cl: 0.034-0.793; P=0.025), increased lactic dehydrogenase (OR: 0.257; 95%Cl: 0.100-0.659; P=0.005) and interleukins-6 levels (OR: 0.294; 95%Cl: 0.099-0.872; P=0.027) were associated with poor in-hospital outcome; AUC of predictive model were 0.752 (95%CI: 0.681-0.824; P=0.000).Conclusion: Older patients with diarrhea and lymphopenia need early identification and timely intervention to prevent the progression to severe COVID-19 pneumonia. However, older patients with leucopenia, increased lactic dehydrogenase and interleukins-6 levels are at a high risk for poor in-hospital outcome.Trial registration: ChiCTR2000029549

Antibody responses to SARS-CoV-2 in COVID-19 patients: the perspective application of serological tests in clinical practice (preprint)

Background We aim to investigate the profile of acute antibody response in COVID-19 patients, and provide proposals for the usage of antibody test in clinical practice. Methods A multi-center cross-section study (285 patients) and a single-center follow-up study (63 patients) were performed to investigate the feature of acute antibody response to SARS-CoV-2. A cohort of 52 COVID-19 suspects and 64 close contacts were enrolled to evaluate the potentiality of the antibody test. Results The positive rate for IgG reached 100% around 20 days after symptoms onset. The median day of serocon-version for both lgG and IgM was 13 days after symptoms onset. Seroconversion of IgM occurred at the same time, or earlier, or later than that of IgG. IgG levels in 100% patients (19/19) entered a platform within 6 days after seroconversion. The criteria of IgG seroconversion and [≥] 4-fold increase in the IgG titers in sequential samples together diagnosed 82.9% (34/41) of the patients. Antibody test aided to confirm 4 patients with COVID-19 from 52 suspects who failed to be confirmed by RT-PCR and 7 patients from 148 close contacts with negative RT-PCR. Conclusion IgM and IgG should be detected simultaneously at the early phase of infection. The serological diagnosis criterion of seroconversion or [≥] 4-fold increase in the IgG titer is suitable for a majority of COVID-19 patients. Serologic test is helpful for the diagnosis of SARS-CoV-2 infection in suspects and close contacts.