# The Impact of Physical Education Classes on Health and Quality of Life during the COVID-19
## 3 Results  
### Participants' Demographic Characteristics  
A total of 1011 student participants completed the questionnaire. Regarding the sports expertise represented by the participants, 210 (20.8%) were currently engaged in interscholastic sports teams, while 801 (79.2%) were not engaged in interscholastic sports teams. Among the participants, 55 of them (5.4%) perceived the atmosphere of sports as \"Not good,\" 810 (80.1%) considering it \"Ok,\" and 146 (14.4%) considering it \"Very good.\" As for exercise frequency, 224 of the participants (22.2%) voted for \"Regularly exercise,\" and 787 (77.8%) for \"Not regularly exercise.\" In all, 80.1% of the participants perceived sports atmosphere in PE class as \"Ok\". In this study, all of the main hypotheses path testing was estimated by one-way ANOVAs and linear regression. Descriptive scores of the overall participants' demographic characteristics, well-being, and quality of life for each group at each time phase are shown in Table 1. All items had a mean score greater than 3.0 (i.e., midpoint on the five-point Likert-type scale), and none of them had a mean score lower than the midpoint, which reflects that these PE university demand variables were indeed important when considering attendance at sports. Moreover, skewness and kurtosis of each participation in sports, well-being, and quality of life item were well within the acceptable threshold (\(\pm\)3.0) [16; 17], meaning that the distribution of the data did not deviate from normality for any given variable. Moreover, the sample normal distribution skewness of items was between \(-\)37 to \(-\)1.96, which was not greater than the threshold \(\pm\)2; and the kurtosis between \(-\)0.003 to 6.07, which did not exceed the recommended value of 7, which meets the requirements of normal distribution [17]. Furthermore, non-significant differences between participation in sports were found from the one-way ANOVAs at the students' mean scores of each variable, as shown in Table 2. In the current findings, the Scheffe test scores of different participations (F1, 1009 = 1.61), and different times (F1, 1009 = 0.46) are shown in Table 2.  
COVID-19's Effect on the Physical Education Course between Physical Fitness, Quality of Life, Attitude, and Well-Being in College Students  
Additionally, the correlation analyzed effects of all variables as presented in Table 3. As shown in Table 3, participation in sports was positively related to well-being (r = 0.02, \(p\) < 0.01), and was positively related to quality of life (r = 0.16, \(p\) < 0.01). In addition, well-being was positively related to quality of life (r = 0.15, \(p\) < 0.01). The results showed variables of participation in sports were significant effect correlations. In addition, well-being was positively related to quality of life and there were significant correlations. Given these results, the impact of the COVID-19 pandemic on the participation in sports and on well-being and quality of life were significant, supporting our hypothesis H1 expectations (showed in Figure 4). \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Variables** & **M** & **SD** & **Category** & **Frequency** & **Cumulative \%** \\ \hline Gender & 1.68 & 0.47 & Male & 328 & 32.4\% \\  & & & Female & 683 & 67.6\% \\ Grade & 2.00 & 0.09 & Year 1 & 3 & 0.3\% \\  & & & Year 2 & 1002 & 99.1\% \\  & & & Year 3 & 6 & 0.6\% \\ Participated on interscholastic & & & Yes & 210 & 20.8\% \\ sports teams & & & No & 801 & 79.2\% \\ Perceived atmosphere of sport & & & Not good & 55 & 5.4\% \\  & & & Ok & 810 & 80.1\% \\  & & & Very good & 146 & 14.4\% \\ Exercise frequency & & & Regularly & 224 & 22.2\% \\  & & & exercise & 787 & 77.8\% \\ Well-being & 3.52 & 0.46 & & & \\ Quality of life & 3.27 & 0.27 & & & \\ \hline \end{tabular} _Note._ M = Mean; _SD = Standard Deviation.  
\end{table} 
Table 1: Participants’ demographic characteristics of variables (\(N\) = 1011).