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- Title
The Factors Related to the Smartphone Addiction of Undergraduate Students.
- Authors
Kyung-Shin Paek
- Abstract
Background/Objectives: College students have a potential for addiction of smartphone. This study was to ascertain the influence of perceived stress and motivation for using a smartphone on the smartphone addiction for them. Method/Statistical Analysis: The participants were 339 students who enrolled at S University in Korea. The smartphone addiction scale (15 items) developed by Kim et al., perceived stress scale (14 items) developed by Cohen et al. and the motivation scale (24 items) for using a smartphone developed by Kang were measured. SPSS/WIN 22.0 was used to analyze hierarchical multiple regression, Person correlation coefficients, one-way ANOVA, Scheffe test and independent sample t-test. Findings: Gender (t=-4.15, p< .001), academic achievement (F=9.34, p< .001) and smartphone use time per day (F=6.56, p< .001) were significant differences in smartphone addiction. The smartphone addiction was a significant correlation with perceived stress (r=.366, p< .001), social interaction (r=0.119, p=.029), entertainment (r=0.330, p<.001) and passing time (r=0.226, p<.001) in motivation for using smartphone. Hierarchical multiple regression analysis indicated that perceived stress (β=0.284), entertainment (β=0.241) and passing time (β=0.158) in the motivation for using smartphone were identified as significant factors of smartphone addiction for college student, after adjusting for gender, academic achievement. Improvements/Applications: The prevention of smartphone addiction for college students requires not only diminishing perceived stress but also examining a motivation for using a smartphone and gender difference in using a smartphone.
- Subjects
SOUTH Korea; COMPULSIVE behavior -- Risk factors; ACADEMIC achievement; PSYCHOLOGY of college students; STATISTICAL correlation; INTERPERSONAL relations; LEISURE; MOTIVATION (Psychology); RISK assessment; SEX distribution; STATISTICS; PSYCHOLOGICAL stress; T-test (Statistics); UNIVERSITIES &; colleges; DATA analysis; MULTIPLE regression analysis; SMARTPHONES; PSYCHOLOGY of Undergraduates; DATA analysis software; ONE-way analysis of variance
- Publication
Medico-Legal Update, 2019, Vol 19, Issue 1, p732
- ISSN
0971-720X
- Publication type
Article
- DOI
10.5958/0974-1283.2019.00128.2