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http://dx.doi.org/10.15268/ksim.2022.10.2.135

Analysis of Major Factors Related to Smartphone Addiction According to Gender Differences in Health College Students  

Choo, Yeon-Ki (Dept. of Rehabilitation Therapy, Guposungshim Hospital)
Bae, Won-Sik (Dept. of Physical Therapy, Kyungnam College of Information & Technology)
Kim, Hae-In (Dept. of Physical Therapy, Eulji University)
Publication Information
Journal of The Korean Society of Integrative Medicine / v.10, no.2, 2022 , pp. 135-143 More about this Journal
Abstract
Purpose : This study was to compare and analyze major factors related to smartphone addiction according to the gender of health-related college students. Methods : 720 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. Smartphone addiction was measured using the Smartphone Addiction Scale Short Version (SAS-SV), sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), anxiety symptoms were measured using the self-assessment anxiety scale (SAS), and depression symptoms were measured using the self-assessment depression scale (SDS). In addition, the age of each individual and the main function of smartphone use were also investigated. Results : The prevalence of smartphone addiction was higher among female students than male students (p<.05), while male students mainly played games and female students mainly used multimedia (video/music) viewing and social networking services (p<.05). In addition, male students showed a high association with smartphone addiction in the group where games were the main function of smartphone use, the group with low sleep quality, and the group with anxiety symptoms (p<.05), but for female students, multimedia (video/music) Or, the group in which social networking service is the main function of smartphone use, the group with low sleep quality, and the group with symptoms of anxiety and depression showed a high correlation with smartphone addiction (p<.05). Conclusion : It is expected that the results of this study will be used as basic data for providing customized solutions considering the characteristics of smartphone addicts.
Keywords
anxiety; depression; health college students; sleep quality; smartphone addiction;
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