The Interaction between Chinese University Students’ Computer Use and Their Attitudes toward Computer in Learning and Innovation

Author(s):  
Ye Liu ◽  
Xiaolan Fu
2019 ◽  
Vol 47 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Kun Wang ◽  
Yue Xue ◽  
Xiang Fan ◽  
Tao Huang ◽  
Zuosong Chen

We investigated the independent associations of 3 types of sedentary behavior with depression, anxiety, and sleep quality among 214 Chinese university students. Self-reported sedentary behavior was assessed by the length of time that participants spent on television viewing/computer use, and smartphone use. We used the Self-Rating Depression Scale (SDS) and the Self-Rating Anxiety Scale (SAS) to evaluate depressive status and anxiety symptoms, respectively, and the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality. The results showed that longer smartphone use was associated with worse SDS, SAS, and PSQI scores. There was no association between the time spent on television viewing and computer use, and depression, anxiety, and poor sleep quality.


Vaccines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 297
Author(s):  
Ya-Chin Yeh ◽  
I-Hua Chen ◽  
Daniel K. Ahorsu ◽  
Nai-Ying Ko ◽  
Kuan-Lin Chen ◽  
...  

The impacts of novel coronavirus disease-2019 (COVID-19) on human life continue to be serious. To control the spread of COVID-19, the production of effective vaccines is likely to be one of the best solutions. However, vaccination hesitancy may decrease individuals’ willingness to get vaccinated. The Drivers of COVID-19 Vaccination Acceptance Scale (DrVac-COVID19S) was recently developed to help healthcare professionals and researchers better understand vaccination acceptance. The present study examined whether DrVac-COVID19S is measurement invariant across different subgroups (Taiwanese vs. mainland Chinese university students; males vs. females; and health-related program majors vs. non-health-related program majors). Taiwanese (n = 761; mean age = 25.51 years; standard deviation (SD) = 6.42; 63.5% females) and mainland Chinese university students (n = 3145; mean age = 20.72 years; SD = 2.06; 50.2% females) were recruited using an online survey between 5 January and 21 February 2021. Factor structure and measurement invariance of the two DrVac-COVID19S scales (nine-item and 12-item) were tested using confirmatory factor analysis (CFA). The findings indicated that the DrVac-COVID19S had a four-factor structure and was measurement invariant across the subgroups. The DrVac-COVID19S’s four-factor structure was supported by the CFA results is a practical and valid instrument to quickly capture university students’ willingness to get COVID-19 vaccination. Moreover, the DrVac-COVID19S can be used to compare university students’ underlying reasons to get COVID-19 vaccination among different subgroups.


Chemosphere ◽  
2020 ◽  
Vol 247 ◽  
pp. 125987 ◽  
Author(s):  
Hua Zhang ◽  
Qiang Quan ◽  
Mingyue Zhang ◽  
Nan Zhang ◽  
Wu Zhang ◽  
...  

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