Ruihua Zhang, Jincheng Zhou, Tao Hai, Shixue Zhang, Jude Osamor, Marvellous GodsPraise Iwendi and Mohammad Shah 2022. Preprint: Higher Education Perceived Stress and Physical Stress: Big Data Analysis. Research Square. https://doi.org/10.21203/rs.3.rs-2146058/v1
| Title | Preprint: Higher Education Perceived Stress and Physical Stress: Big Data Analysis |
|---|---|
| Authors | Ruihua Zhang, Jincheng Zhou, Tao Hai, Shixue Zhang, Jude Osamor, Marvellous GodsPraise Iwendi and Mohammad Shah |
| Description | Like other countries, China has suffered severe consequences as a result of the COVID-19 outbreak and pandemic. The lockdown, physical distancing, social isolation has disrupted the day-to-day activities of its citizens. The higher education sector has had to adopt state-of-the-art technologies and use online platforms to hold classes in order to engage students and ensure the continuity of education for an effective learning process. The second wave and Delta variant of the virus compelled numerous Higher Educational Institutes (HEIs) to start offline and remote work for both academic and non-academic staff; a stressful ordeal for them. Teaching has always been a stressful career path, and the stress faced by teachers has adverse consequences on the learning and performance of students. In this paper, we aim to identify and study the stress HEIs staff perceive and its impact on their physical stress and wellbeing. The resilient coping mechanism was evaluated as a moderator in the relationship between the staff and faculty’s perceived and physical stress. Using a standard survey questionnaire, 500 responses were collected. The findings revealed that the staff with the highest perceived stress also showed high symptoms of physical stress. It also indicated that resilience copers experienced reduced or very inconsequential symptoms of physical stress regardless of high perceived stress, thus validating the important moderating function of resilience in the relationship between the physical and perceived stress of the employees. |
| Year | 2022 |
| Output media | Research Square preprint |
| Publisher | Research Square |
| Publication dates | |
| Published | 10 Oct 2022 |
| ISSN | 2693-5015 |
| Digital Object Identifier (DOI) | https://doi.org/10.21203/rs.3.rs-2146058/v1 |
| Web address (URL) | http://dx.doi.org/10.21203/rs.3.rs-2146058/v1 |