Demographic Characteristics and Digital Platforms for Physical Activity Among the Chinese Residents During the COVID-19 Pandemic: A Mediating Analysis

Background E-health apps play a vital role in the era of the COVID-19 pandemic. More people across the globe have started to use fitness and health apps to mitigate the COVID-19 negative impacts on the health-related quality of life. E-health treatments are becoming more common these days. Aim The present research aim was to explore the mediating role of digital platforms for physical activity and fitness with demographic characteristics among Chinese people during the pandemic. Methods The primary data was collected through an online survey across China under the snowball sampling technique. A total of 5351 respondents took part in the online questionnaire survey. After quantification and quality check of the data, a total of 5000 respondents’ responses were added in the final analysis. The collected data were analyzed by using SPSS-25 and SmartPLS 3.0 software. Results The structural equation model analysis H1 (β = 0.227, t = 18.725, p = < 0.000), H2 (β = 0.225, t = 17.892, p = < 0.000), H3 (β = 0.229, t = 17.845, p = < 0.000), H4 (β = 0.54, t = 60.928, p= < 0.000), H5 (β = 0.553, t = 57.291, p = < 0.000), H6 (β = 0.559, t = 56.956, p = < 0.000), H7 (β = 0.358, t = 24.779, p = < 0.000), H8 (β = 0.259, t = 19.617, p = < 0.000) and H9 (β = 0.288, t = 19.92, p = < 0.000) results confirm the proposed hypothesis of the study. Conclusion E-health apps are playing a vital role in maintaining an active lifestyle through physical activity. Fitness and health apps can promote physical activity and improve health-related quality of life. Results of the current study concluded that E-health apps are promising to promote physical activity and fitness during the COVID-19 preventive measures.

Performance, Health, and Psychological Challenges Faced by Students of Physical Education in Online Learning during COVID-19 Epidemic: A Qualitative Study in China.

The spread of COVID-19 has led students to take classes online (rather than face-to-face) worldwide, including in China. For this study, we conducted qualitative focus group discussions to identify the experience of and difficulties faced by online physical education students in higher education taking online classes, including the impact on their physical activity performance, as well as some health problems they face while taking online classes during the quarantine period, such as weight gain, depression, and anxiety. Finally, utilizing Mayer's learning model as a conceptual framework, we propose a method that addresses how to effectively manage an optimal future learning system for physical education students, both during and after the COVID-19 outbreak situation. During the isolation period of COVID-19, the required equipment for the participants was rarely available at home while attending the online classes, which inevitably reduced the number of physical education units that could be conveyed. This resulted in a transfer of attention from competition to underperformance, weight gain, and adverse psychological conditions. We conclude that it is important to review and systematize the methods of online physical education learning, particularly highlighting the cultural and educational characteristics of different countries, and to investigate the effectiveness of online physical education as a whole.

Social Media for Knowledge Acquisition and Dissemination: The Impact of the COVID-19 Pandemic on Collaborative Learning Driven Social Media Adoption.

During the COVID-19 outbreak, educational institutions were closed, and students worldwide were confined to their homes. In an educational environment, students depend on collaborative learning (CL) to improve their learning performance. This study aimed to increase the understanding of social media adoption among students during the COVID-19 pandemic for the purpose of CL. Social media provides a learning platform that enables students to easily communicate with their peers and subject specialists, and is conducive to students' CL. This study addresses the key concept of CL during the COVID-19 pandemic by assessing social media use among students in higher education. The relationship between social media use and students' performance is crucial to understanding the role of social media during a pandemic. This study is based on constructivism theory and the technology acceptance model. Structural equation modeling was used to analyze the conceptual model using SmartPLS. The research findings indicate that social media plays an important role during the pandemic because it provides opportunities for students to enhance CL under the aforementioned situations. This study makes noteworthy theoretical and practical contributions.

Effect Monitoring and Insights from Vaccination program of Healthcare Workforce from a tertiary level hospital in India against SARS-CoV-2. (preprint)

Immunization is expected to confer protection against infection and severe disease for vaccinees, while reducing risks to unimmunized populations by inhibiting transmission. Here, based on serial serological studies, we show that during a severe SARS-CoV2 Delta-variant outbreak in Delhi, 25.3% (95% CI 16.9 - 35.2) of previously uninfected, ChAdOx1-nCoV19 double vaccinated, healthcare-workers (HCW) were infected within a period of less than two months, based on serology. Induction of anti-spike response was similar between groups with breakthrough infection (541 U/ml, IQR 374) or not (342 U/ml, IQR 497), as was induction of neutralization activity to wildtype. Most infections were unrecognized. The Delta-variant thus causes frequent unrecognized breakthrough infections in adequately immunized subjects, reducing any herd-effect of immunity, and requiring reinstatement of preventive measures such as masking.

Incidental Discovery of Anomalous Left Coronary Artery Arising from the Pulmonary Artery in a Coronavirus Disease-2019 Patient: A Blessing in Disguise.

Anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) is a serious congenital malformation. Reports about asymptomatic, incidentally discovered ALCAPA in adults are scarce. We describe a patient with no known pre-existing cardiac condition admitted to our hospital with coronavirus disease 2019 (COVID-19) and was incidentally found to have ALCAPA. To the best of our knowledge, this is the first reported case of incidentally discovered ALCAPA in a COVID-19 patient and highlights the importance of appropriate investigation of the coronary status by Multidetector Cardiac Computed Tomographic Angiography (MDCCTA) in individuals with asymptomatic left ventricular dysfunction. The presentation of this case, discussion and literature review serves to iterate the necessity of appropriately investigating patients with asymptomatic LV dysfunction.