• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.192-202
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• 2019

This study was a descriptive study to investigate the factors influencing on self-esteem, ego resilience, impulsivity and life stress on smartphone addiction among college students. The subjects include college students in some areas. Data was collected in November and December, 2018. Total 231 college students were analyzed in the study. Collected data was analyzed in frequency, percentage, and t-test to examine differences in smartphone addiction according to general characteristics. Pearson's correlation was performed to examine correlations between smartphone addiction and main variables, and the factors influencing smartphone addiction were analyzed in multiple regression. The findings show that genera, satisfaction with college life, hours of using a smartphone, hours of using SNS, ego resilience, impulsivity, and life stress had significant effects on smartphone addiction. The study examined relations between general characters and smartphone addiction and found that the level of smartphone addiction was high in female college students, those who were not satisfied with college life, and used a smartphone and SNS for many hours. Ego resilience had negative correlations with smartphone addiction, and impulsivity and life stress had positive correlations with it. Multi-variate regression analysis results show that gender, ego resilience, and life stress were factors that had important influences on the smartphone addiction of college students, having explanatory power of 35.6%. In short, colleges and universities need to develop a school-level program to improve the college life of students and reduce their stress to the minimum and create an environment of encouraging them to grow power of controlling their lives so that they can prevent smartphone addiction.

• The Journal of Korean Academy of Sensory Integration
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• v.19 no.2
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• pp.1-11
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• 2021

Objective : The purpose of this study was to compare sensory processing ability by smartphone addiction levels in preschool children, and to investigate the correlation between smartphone addiction level and sensory processing ability within smartphone addiction group. Method : The subjects of this study were 324 persons, with 124 persons in the addiction group and 200 in the normal user group. Measurements in this study were a questionnaire about general characteristics of subject, smartphone addiction scale, and short sensory profile. Methods for the data analysis included descriptive statistics, independent t-test, Pearson correlation analysis of SPSS 22.0. Results : There was a significant difference in the total Short Sensory Profile (SSP) score and in all sub-domains between the addiction and normal use groups (p<0.05). In the smartphone addiction group, there was a negative correlation between the SSP total score (r=-.278), auditory filtering (r=-.293), visual/auditory sensitivity (r=-.393) and smartphone addiction level. Conclusion : This study confirmed that there was a difference in smartphone addiction and sensory processing ability between the preschool children addiction and normal use groups. It has been proven that there is an interrelationship between sensory processing ability and smartphone addiction in the addiction group. It is significant in that it provides basic data to prevent smartphone addiction.

• Journal of Family Resource Management and Policy Review
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• v.18 no.1
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• pp.47-68
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• 2014

This study investigated the relationship between smartphone addiction propensities and leisure satisfaction according to leisure time constraints among university students and attempted to promote an effective and desirable leisure culture. The main findings were as follows: First, leisure time constraints showed differences in terms of the withdrawal factors, overall smartphone addiction propensities, and leisure satisfaction; self-efficacy showed significant differences in terms of withdrawal and overall smartphone addiction propensities; and control showed a significant difference in leisure satisfaction. Second, in the case of university students, it was revealed that regardless of leisure constraints, as disturbance of daily living and tolerance are higher, leisure satisfaction is lower in those with smartphone addiction propensities.

• International Journal of Contents
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• v.11 no.3
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• pp.1-6
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• 2015

This study presents an examination of the effects of the sub-factors of both self-control and school adjustment on smartphone addiction among a sample of elementary school students. The study is comprised of 93 5^th-grade students from x elementary school located in Seoul, Korea. A descriptive analysis, Pearson's correlation, and multiple regression analysis were performed, and the following two study results are presented: 1) Among the sub-factors of self-control, instant gratification positively predicts smartphone addiction. 2) Among the sub-factors of school adjustment, a student's adherence to school rules negatively predicts smartphone addiction. Based on these results, the implications for preventing smartphone addiction among elementary-school students are discussed.

• Korean Journal of Adult Nursing
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• v.27 no.6
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• pp.634-643
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• 2015

Purpose: The purpose of the study was to investigate the factors affecting on smartphone addiction according to the classification of addiction-risk groups among college students, focusing on self-control. Methods: A sample of 242 college students at K University in Seoul was recruited to participate in the study. A structured questionnaire composed of items for the self-rated smartphone addiction scale and self-control scale was used to collect data. Results: The number of students in smartphone addiction-risk group was 66 (27.3%). This study had 17.5% of the explanatory power, including perceived smartphone necessity (${\beta}=.330$, p=.007), and instant self-control (${\beta}=-.281$, p=.028) in addiction-risk group. Whereas, in non-risk group, the affecting factors included gender (${\beta}=.194$, p=.004), self-awareness of addiction (${\beta}=-.290$, p<.001), and instant self-control (${\beta}=-.281$, p<.001) with 31.3% of the explanatory power. Conclusion: There is a need to develop an intervention program to prevent the addiction of smartphones and to improve self-control among college students.

• 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.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.413-421
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• 2019

This study focuses on the mediating effects of the interpersonal problems in the relationship between depression and smartphone addiction of college student living in a dormitory. The subject group was consist of students living in a dormitory among the college students in K city. The final 1,016 questionnaires were used as research data. The data analysis used correlation analysis, regression analysis, and Sobel test. The results showed depression, interpersonal problems and smartphone addiction were significantly correlated, and depression had a direct effect on smartphone addiction. In other words, the higher the level of depression, the higher the level of smartphone addiction of college students. Interpersonal problems was partially mediated between depression and smartphone addiction. Therefore, in order to decrease the level of college student's depression and smartphone addiction, it is necessary to develop and implement a program or counseling that can handle interpersonal problems as one of the strategies that can decrease the level of smartphone addiction. Discussed the use of research results and future research.

• Journal of Korean Public Health Nursing
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• v.29 no.1
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• pp.5-17
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• 2015

Purpose: The purpose of this study was to demonstrate the moderating effect of smartphone addiction on the relationship between interpersonal problem and depression. Methods: From 21 to 30 May 2013, a convenience sample of 192 subjects was recruited. Research data were collected via questionnaires and analyzed using SPSS version 18.0. Results: Scores for female students were higher than those for male students in smartphone addiction, interpersonal peoblems and depression. The average BDI score was 6.6. There were 29(15.1%), 11(5.7%), 8(4.0%), and 6(3.1%) students with mild, moderate, and severe depression, respectively. Significant positive correlation between smartphone addiction, interpersonal problems and depression. The moderating effect of smartphone addiction on the relationship between interpersonal problems and depression was significant. Conclusion: Smartphone addiction plays a role as a moderating variable influencing the relationship between interpersonal problems and depression, and also increases the effect of interpersonal problems on depression. When developing depression prevention programs for college students, such programs should consider strategies to decrease smartphone addiction and increase direct interpersonal relationship, and female students in particular should be included in such programs.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.197-202
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• 2021

The main purpose of this study is to check whether the family relationship of adolescents has an impact on smartphone addiction and to verify of direct effects and moderating effects in according to self-efficacy. The survey was conducted to the adolescents who were second grade middle school students with 318 subjects in G metropolitan city. This study results found the followings: Family relationship and selfe-efficacy revealed direct influence on smartphone addiction. Moreover, the self-efficacy check the moderating effect of do family relationship on smartphone addiction. The results of this study are significant in that they demonstrated the influence of family relationship and self-effect on smartphone addiction and imply that self-efficacy can decrease or prevent smartphone addiction from family relationship problem.

• Science of Emotion and Sensibility
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• v.23 no.1
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• pp.103-112
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• 2020

Smartphones, now a necessity for modern people, have become more than just an appliance, but an object of obsession for many. This has resulted in smartphone addiction in many modern people. However, the phenomenon of object addiction can lie beyond the problem of the object itself, varying according to the psychological characteristics of the subjects who use it. For this reason, this study aimed to examine adult attachment and covert narcissism as factors influencing smartphone addiction in college students. In order to do this subjects' level of smartphone addiction, adult attachment and covert narcissism needed to be measured on a scale of smartphone addiction, adult attachment and covert narcissism. Regression analysis was conducted with smartphone addiction set as the dependent variable and adult attachment and covert narcissism as independent variables. As a result, we observed anxiety attachment related to adult attachment and hypersensitivity/weakness of covert narcissism played roles in smartphone addiction. These findings suggest that in order to understand smartphone addiction in college students, it is important to know the psychological characteristics of our subjects.