scholarly journals Smartphone Addiction and Life Satisfaction: Mediating Effects of Sleep Quality and Self-Health

2021 ◽  
Vol 13 (3) ◽  
pp. 8
Author(s):  
Jianfei CAO ◽  
Yeongjoo Lim ◽  
Kota Kodama

As the popularity of smartphones grows, so does the number of people who are addicted to them. Although many studies have indicated that the various problems associated with smartphone addiction can negatively affect life satisfaction, this result is not absolute. This study surveyed 114 Chinese alumni of a Japanese university and analyzed the mediating effects of sleep quality and self-health on the relationship between smartphone addiction and life satisfaction.  Results indicated that smartphone addiction did not affect life satisfaction, neither directly nor indirectly through sleep quality and self-health. This finding was different from those of previous studies. In addition, the results indicated that smartphone addiction directly affects sleep quality, and that smartphone addiction can affect self-health either directly or indirectly through sleep quality. Based on this finding, we believe that intervention in the excessive use of smartphones is an effective means to improve the physical fitness of people.

2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.


2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Momoko Kitazawa ◽  
Michitaka Yoshimura ◽  
Hidefumi Hitokoto ◽  
Yuka Sato-Fujimoto ◽  
Mayu Murata ◽  
...  

Abstract Background Besides research on psychiatric diseases related to problematic Internet use (PIU), a growing number of studies focus on the impact of Internet on subjective well-being (SWB). However, in previous studies on the relationship between PIU and SWB, there is little data for Japanese people specifically, and there is a lack of consideration for differences in perception of happiness due to cultural differences. Therefore, we aimed to clarify how happiness is interdependent on PIU measures, with a focus on how the concept of happiness is interpreted among Japanese people, and specifically among Japanese university students. Methods A paper-based survey was conducted with 1258 Japanese university students. Respondents were asked to fill out self-report scales regarding their happiness using the Interdependent Happiness Scale (IHS). The relationship between IHS and Internet use (Japanese version of the Internet addiction test, JIAT), use of social networking services, as well as social function and sleep quality (Pittsburgh Sleep Quality Index, PSQI) were sought using multiple regression analyses. Results Based on multiple regression analyses, the following factors related positively to IHS: female gender and the number of Twitter followers. Conversely, the following factors related negatively to IHS: poor sleep, high- PIU, and the number of times the subject skipped a whole day of school. Conclusions It was shown that there was a significant negative correlation between Japanese youths’ happiness and PIU. Since epidemiological research on happiness that reflects the cultural background is still scarce, we believe future studies shall accumulate similar evidence in this regard.


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