A Study on the Harmful Effect of Mobile Phone Addiction on Learning Commitment of College Students : Focusing on Self-efficacy Mediating Effect

2020 ◽  
Vol 6 (2) ◽  
pp. 63-79
Author(s):  
Sang-Eun Roh ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 41 ◽  
Author(s):  
Guifang Fu ◽  
Jingwen Liu ◽  
Haichun Liu

In order to explore the situation of college students’ emotional state, regulatory emotion self-efficacy and mobile phone addiction tendency as well as their relationships, a total of 350 college students were assessed with Mobile Phone Addiction Tendency Scale (MPATS), Positive Affect and Negative Affect Scale (PANAS) and the Scale of Regulatory Emotional Self-efficacy (SRESE). The result showed that: (1) 40.86% of college students had the tendency of cell phone addiction, which was serious; 72.0% of college students were in a positive emotional state, 22% were in a negative emotional state; college students' regulatory emotion self-efficacy was in the middle level; (2) there was no gender, grade, major type, household registration type (rural and urban) and whether only child difference in mobile phone addiction tendency; (3) the positive emotions of college students were negatively correlated with the tendency of mobile phone addiction, while the negative emotions were positively correlated with the tendency of mobile phone addiction, and the positive emotion was positively correlated with regulatory emotional self-efficacy;(4) the regulatory emotion self-efficacy had a partial mediating effect between the positive emotions and mobile phone addiction tendency and had no mediating effect between the negative emotions and mobile phone addiction tendency. 


2021 ◽  
Vol 49 (9) ◽  
pp. 1-9
Author(s):  
Yan Chen

I explored the relationships among shyness, loneliness, and cell phone dependence (CPD) in college students, with a special focus on the mediating effect of loneliness in the relationship between shyness and CPD. Participants were 593 students recruited from a college in Henan, China, and they completed the Cheek and Buss Shyness Scale, the UCLA Loneliness Scale–Short Form, and the Mobile Phone Addiction Index. The results show that shyness was significantly correlated with both loneliness and CPD, and that loneliness partially mediated the effect of shyness on CPD. These findings shed light on how shyness predicts CPD and have implications for preventing CPD in college students.


2020 ◽  
Vol 11 ◽  
Author(s):  
Xiaofan Yang ◽  
Pengcheng Wang ◽  
Ping Hu

Recent studies have indicated that trait procrastination as a personality factor could lead to mobile phone addiction, however little is known about the mediating and moderating mechanisms underlying this process. The current study investigated the mediating role of stress in the relationship between trait procrastination and mobile phone addiction, and whether the mediating effect was moderated by gender. A sample including 1,004 Chinese college students completed measurements of trait procrastination, stress, mobile phone addiction, and demographic information. The results showed that trait procrastination was positively related to college students’ mobile phone addiction. Mediation analyses revealed that this relationship was partially mediated by stress. Moderated mediation further indicated that the path between trait procrastination and stress was stronger for male students compared with female students. These findings broadened our knowledge of the underlying mechanisms between trait procrastination and mobile phone addiction, the implications and limitations of this study were discussed.


2018 ◽  
Author(s):  
Taotao Wang ◽  
Mengyuan Ren ◽  
Ying Shen ◽  
Xiaorou Zhu ◽  
Xing Zhang ◽  
...  

BACKGROUND Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. OBJECTIVE This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. METHODS A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. RESULTS Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (<italic>P</italic>&lt;.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; <italic>P</italic>&lt;.001) and self-efficacy (beta=.294; <italic>P</italic>&lt;.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (<italic>P</italic>&lt;.001). CONCLUSIONS This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels.


Sign in / Sign up

Export Citation Format

Share Document