• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.594-606
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• 2018

The purpose of this study is to examine the mediating effect of positive psychological capital as an protective factor and mental health as an risk factor on the relationship between smart phone addiction and self life management of university students. The following are the results of the analysis on the measures of smart-phone addiction, positive psychological capital, mental health and self life management among the 266 college students. First, the analysis of the correlation between relevant factors, smart-phone addiction showed a significant amulet correlation between self life management and positive psychological capital and a significant static correlation between mental health. Second, the positive psychological capital showed a mediate effect as a result of the analysis of university students' smart-phone addiction and self life management. Third, the results of a regression analysis between positive psychological capital and psychosomatic health sub-factors, optimism and resilience in the positive psychological capital and Depression and Impulsion in mental health, had a significant impact on managing self-life management Based on the results of this study, we discussed educational implications for the management of university students ' lives and suggestions for further research.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.391-400
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• 2019

This study was conducted to investigate the connections between life stress and smartphone addiction of nursing college students. The subjects included nursing college students in some areas. Data were collected in November and December, 2018 from a total of 240 subjects. Collected data were subjected to frequency, percentage, t-test, ${\chi}^2$-test, and ANOVA analyses to identify differences in smartphone addiction level and stress characteristics according to general characteristics. Correlations between smartphone addiction and stress characteristics were investigated by Pearson's correlation analysis, and factors influencing smartphone addiction were examined by hierarchical multiple regression analysis. The findings showed that independent variables had explanatory powers of 14.8% and 32.7% in Models 1 and 2, respectively. The study examined differences in smartphone addiction level according to the general characteristics of the subjects and found that female college students had a higher level of smartphone addiction than their male counterparts. The smartphone addiction level was high in those who were not satisfied with college life, used a smartphone for five hours or more a day, and spent many hours on SNS. Evaluation of differences in stress characteristics according to their general characteristics revealed female college students scored higher for stress characteristics. The means of the stress characteristics were also high for those who were not satisfied with college life, used a smartphone for many hours, and had a high risk of smartphone addiction. In conclusion, female gender, hours of smartphone usage and SNS, academic stress, and value stress were important factors influencing the smartphone addiction of nursing college students. These findings indicate the need to reinforce a stress management program for nursing college students and thus provide them with multifaceted support for stress management.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.381-389
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• 2021

The purpose of this study is to examine the mediating effect of perceived stress on the relationships between adult anxious attachment and smartphone addiction. To examine the relationships among variables, SPSS program and Amos program were utilized to analyze with 272 college students (male 132, female 139). The present study found a partial mediation effect of perceived stress in the relationship between anxious attachment and smatphone addiction. The result of this study implys that anxious attachment influences cognitive process and the perceived stress may precipitate smartphone addiction. This finding can contribute to the field by enlarging the depth of knowledge about risk factor affecting psychological health (i.e., smartphone addiction) of college students who are "in the beginning of adulthood period" in their lifespan. Current finding may help to providing the protection and treatment of smartphone addiction of college students and help to promote the psychological health of college students.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.299-308
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• 2018

This study was conducted to examine the mediating effect of executive function deficiencies on the relationship between smartphone addiction and memory impairment and to suggest treatment implications for adults with smartphone addiction symptoms. For this study, 300 adults(146 males and 154 females) were conducted smartphone addiction scale, Barkley Deficits in Executive Functioning Scale-Short Form(BDEFS-SF), and Multifactorial Memory Questionnaire(MMQ). The results are as follows. First, correlation analyses showed that smartphone addiction, executive function deficiencies, and memory impairment were positively correlated. Second, Smartphone addiction group showed significantly higher scores on all of the subfactors of executive function and memory impairment. Third, Stepwise regression analyses revealed that self-organization/problem solving, self-management to time, self-restraint, and withdrawal were the best predictors of memory impairment. Forth, Executive function deficiencies fully mediated the relationship between smartphone addiction and memory impairment. These findings were considered to suggest that treatment programs for smartphone addiction group needed to include training for cognitive improvement such as executive function rehabilitation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.56-66
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• 2016

This study is a descriptive research study which attempts to determine the effects of self-efficacy, self-esteem, loneliness, stress, stress coping, and use expectancy on the smartphone addiction of university students based on the GIA model. Data was accumulated by means of questionnaire surveys from December 2015 to January 2016, which targeted 224 college students attending universities within Seoul and analyzed by descriptive statistical analysis, correlation analysis, and multiple regression analysis using SPSS 21.0. The average smartphone addiction score was $2.5{\pm}0.8$ (1.2-4.9) and 125 students were in the normal category (55 %), 90 in the danger category (40.2%), and 9 in the addiction category (4%). The correlation analysis showed that loneliness and stress had positive correlations with use expectancy, while self-esteem had a negative correlation. Loneliness, stress, use expectancy, and self-esteem proved to be the major factors affecting smartphone addiction and it was concluded that the development and application of programs which strengthen self-esteem are necessary. This study contributed to the research application and availability of the GIA model by analyzing the factors affecting smartphone addiction based on the GIA model.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3201-3209
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• 2018

The purpose of this study was to explore the factors predicting increased usage hours of smartphone among adolescents. Secondary data was analyzed to be collected from a nationally representative sample of 2017 Korean adolescents. This study sample included 54,601 students in middle or high schools of Korea. The collected data were analyzed SPSS version 23.0 program for frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearson's correlation coefficient and binary logistic regression analysis. In the results, the mean usage hour of smartphone among the adolescents was 28.42 (SD 23.30) per week. Analyses of the differences in usage hours of smartphone according to research variables were found that the groups of lower level of study (F=1361.067, p<.001) and sociality content type (F=761.549, p<.001) spent more time, as compared to the other groups. The logistic analysis showed the predictive factors for increased hour of using smartphone were smartphone usage for sociality (OR: 2.44, 95% CI: 2.26-2.64) and peer group counselor (OR: 1.49, 95% CI: 1.49). Conclusionally, the findings of this study suggests that it needs to understand cause or purpose of smartphone using of adolescent and to cope and educate on the cause.

• Korean Journal of School Psychology
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• v.18 no.3
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• pp.317-349
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• 2021

This study was conducted to examine the reliability and validity of the internet (IOS-Q), Game (GOS-Q), and Smartphone (SOS-Q) Overuse Screening Questionnaires in a large community sample of adolescents. To achieve this goal, data from 9,336 middle school students (male: 4,796, female: 4,540) was divided into two groups and analyzed by conducting confirmatory factor analysis and exploratory factor analysis, respectively. We conducted another confirmatory factor analysis on a separate sample of data from 4,536 elementary school students (male: 2,260 male, female: 2,276) and 6,551 middle school students (male: 3,013, female: 3,538) from other populations. As a result of factor analysis, IOS-Q was consisted of 17 items, GOS-Q was consisted of 19 items, and SOS-Q was consisted of 18 items. The IOS-Q and GOS-Q factors were psychological dependence, failure to control use despite recognizing problems, dangerous use, and reduced interest in other areas while the SOS-Q factors were dangerous and obsessive use, failure to control use despite recognizing problems, reduced interest in other areas, and withdrawal/tolerance. Each factor reflected the major facets of behavioral addiction or impulse control disorder, and the questionnaires had good internal consistencies of .880-.915. Latent profile and ROC analyses were conducted to determine cutoff points for screening high-risk groups. Lastly, theoretical and practical implications as well as the limitations of this study were discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2984-2994
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• 2013

The emergence of smart phones has brought about a revolution in introducing a computer into the palm of a hand, and this revolution has lead to a smart society that offers comfort and joy in life; however, some side effects including a smart phone syndrome have been identified on a wider and more varied scale compared with any other IT devices of the past. This paper deduced side effect types and key issues according to type focusing on risk factors in accordance with the purpose of the use of smart phones, and diagnosed social effects based on them. In addition, based on the diagnosed results, the study proposed solutions to minimize side effects in order to produce social understanding and sympathy concerning the desirable utilization of smart phones. The proposed solutions should be able to cope with visible and potential side effects systematically by helping people to utilize smart phones, which are a platform of creativity, cooperation, communications, and entertainments, in a desirable way.

• Journal of the Korean Society of School Health
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• v.33 no.2
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• pp.67-78
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• 2020

Purpose: This study aimed to investigate the effects of various factors on smartphone addiction according to types of risk groups among middle school students. Methods: Data of 223 students were collected from February 1st to 22nd of 2020. The collected data were analyzed through t-test, χ² test, correlaton coefficients, and multiple regression analysis. The smartphone addiction scale was used to classify the participants into two groups; 18.8% (n=42) of the total respondents were categorized as the addiction risk group and 81.2% (n=181) were categorized as the general population group. Results: The factors associated with the students in the high risk group were grade (t=3.89, p=.036) and religion (F=3.79, p=.044). In the high risk group, psychological anxiety (β=.39, p=.005) and relapse of internet addiction (β=.38, p=.006) explained 46.0% of smartphone addiction, while in the normal risk group, relapse of internet addiction (β=.42, p<.001), psychological anxiety (β=.22, p=.004), tolerance of internet addiction (β=.17, p=.007), and academic stress (β=.14, p=.027) explained 51.0% of smartphone addiction. Conclusion: In order to prevent smartphone addiction in middle school students, a more specific nursing intervention is needed that can reduce psychological anxiety and relapse of internet addiction. It is clear that urgent measures need to be taken for the highly addicted students such as academic counseling.