The purpose of this study is to discover the current status of smart phone usage among adolescents and to investigate the influence of smart phone addiction on their body and mental health. In Dec. 2012, a survey was conducted from 300 middle school s...
The purpose of this study is to discover the current status of smart phone usage among adolescents and to investigate the influence of smart phone addiction on their body and mental health. In Dec. 2012, a survey was conducted from 300 middle school students in Chungnam areas and its results were analyzed for this study. Total number of respondents was 186 males and 114 females including 123 1st graders, 108 2nd graders, and 39 3rd graders of the middle schools. Also, the scale used to measure addiction level of smart phone was ‘Adolescents’ Self Diagnose Scale of Smart Phone’, developed by National Information Society Agency. In addition, in order to measure their mental health condition, ‘Symptom Checklist-90-Revision (SCL-90-R), Korean Version’ was used, standardized by Kim, Kim, and Won (1987). In order to measure symptoms occurring in body, ‘Somatic Symptom Scale’ was used, originally developed by Han, Jeon, Tak, Lee, and Lee (1993) and partially revised by Lee (2009).
Next, according to the results of smart phone addition scale, users were classified as a high-risk user group, a potential-risk user group, and a normal user group. The results of this study are summarized as follows: First, there was a statistically significant difference when it comes to mental diagnosis test depending on the addiction level of smart phone among 9 subcategories of each group. In particular, somatization showed the highest correlation among them, followed by anxiety, depression, obsessive-compulsive, paranoia, psychosis, phobic anxiety, interpersonal sensitivity, and hostility. Second, there was a statistically significant difference regarding subcategories of somatic symptom scale depending on the addiction level of smart phone among all 4 subcategories. In specific, headache showed the highest correlation among subcategories, followed by disorder of sleep, disorder of the digestive system, and disorder of cardiovascular system. Third, there was a statistically significant difference regarding duration of smart phone usage and an experience of being scolded for inappropriate smart phone usage. However, there was no statistically significant difference among the duration of usage, motivation of usage, function of usage, and satisfaction.
To sum up, smart phone addiction showed negative influence on adolescents’ body and mental health. Moreover, this study confirmed that there was a statistically significant difference between addiction level of smart phone and both the duration of smart phone usage and an experience of being scolded for its inappropriate. The findings of this study can contribute to prevent smart phone addiction, one of the important emerging social issues, serving as fundamental data in this field.