• Child Health Nursing Research
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• v.23 no.4
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• pp.525-533
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• 2017

Purpose: The purpose of this study was to verify the relationship among depression, school adjustment, parent-child bonding, parental control and smartphone addiction, and to identify factors which influence smartphone addiction in adolescents. Methods: A cross-sectional design was used, with a convenience sample of 183 middle school students from 3 middle schools. Data collection was conducted through self-report questionnaires from April to May, 2017. Data were analyzed using ${\chi}^2$ test, Fisher's exact test, t-test, one-way ANOVA, correlation coefficient analysis, and binary logistic regression with SPSS Ver. 21.0. Results: The mean score for smartphone addiction was 29.40. Of the adolescents, 21.3% were in the smartphone addiction risk group. Logistic regression analysis showed that gender (OR=7.09, 95% Cl: 2.57~19.52), school life (OR=0.86, 95% Cl: 0.79~0.93), smartphone usage time (OR=1.32, 95% Cl: 1.04~1.66), and parental control (OR=4.70, 95% Cl: 1.04~21.29) were effect factors for the smartphone addiction risk group. Conclusion: Findings indicate that school satisfaction was an important factor in adolescents' smartphone addiction. Control oriented parent management of adolescents' smartphone use did not reduce the risk of smartphone addiction and may have worsen the addiction. Future research is needed to improve understanding of how teachers and parents will manage their adolescents' use of smartphones.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.2
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• pp.183-192
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• 2021

Purpose : To investigate the degree of smartphone addiction among health-related college students, and to compare and analyze the effect of the degree of addiction on attention control and interpersonal support. Methods : 184 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. The smartphone self-diagnosis scale was used to measure the degree of smartphone addiction, and the Attentional Control Questionnaire (ACQ) was used as a tool to measure the degree of attention control. In addition, the Interpersonal Support Evaluation List (ISEL) was used to measure the degree of interpersonal support. Results : In comparison of the degree of smartphone addiction according to the general characteristics of the subjects, there was no significant difference according to religion, major, and grade, but there was a significant difference in gender and daily use time of smartphones (p <.05). There was a significant difference in the degree of attention control according to the level of smartphone addiction (high risk, potential risk, general user group) (p <.05), but there was no significant difference in the degree of interpersonal support. Conclusion : The degree of smartphone addiction was relatively higher for women than for men, and users who used it for a long time per day were more addicted. It also showed that attention control was further reduced in highly addictive users.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.3
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• pp.277-286
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• 2015

Purpose: This study was done to identify the status of smartphone addiction among nursing students and to examine the mediating effects of Internet ethics on the relationship between smartphone addiction, physical symptoms and psychological well-being. Methods: Data were collected between May 20 and June 23, 2014. Participants were a convenience sample of 214 nursing students of one university in Seoul. Structured questionnaires were used to measure degree of smartphone addiction, physical symptoms, psychological well-being and Internet ethics. Data was analyzed using Independent t-test, One-way ANOVA, Pearson correlation coefficient, multiple hierarchical regression. Results: Of the nursing students, 14.5% had high level of risk of smartphone addiction and 16.8% had potential risk. Higher frequency of physical symptoms and lower level of Internet ethics were related to the higher level of smartphone addiction. Voluntary-control in Internet ethics had mediating effects on the relationship between smartphone addiction and physical symptoms. Conclusion: The results suggest that the level of smartphone addiction may lowered in nursing students by intensifying Internet ethics especially voluntary-control. Based on these findings, Internet ethics program for nursing students should be developed to facilitate the effective use of smartphones.

• Journal of Korea Multimedia Society
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• v.23 no.1
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• pp.93-101
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• 2020

Korea, as a leader of Internet and game sector in IT industry, has been playing an important role in increasing its industrial development. This country has won the first place in wireless broadband usage and contributed to Internet game industry development. This means that Korean use smartphones most. It is juveniles that use Internet and smartphones most among Korean who use teenage., the number of the teenagers who overuse smartphones or Internet has surpassed 200,000. The number of the adolescents who spend more time using smartphone and Internet is about 180,000 and the number of the teens who are over-dependent to smartphone having trouble living their lives is over 22,000. The SNS usage rate of the contents that teens are most likely to use has accounted for over 80 percent. Among teens, SNS is being considered as a major means that builds relationship due to smartphone technology and the prevalence of smartphones. However, the use of SNS among youths has two sides; one is positive, the other negative. Not only does SNS have a positive function that it keeps relationship but it also has a negative function that it can lead to smartphone addiction.

• Informatization Policy
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• v.18 no.3
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• pp.50-68
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• 2011

In this paper, our goal is to examine the factors related to smartphone users' usage addiction. Based on existing literature on mobile usage behavior and addiction, we developed and tested a theoretical model and hypotheses, analyzing how variables based on the characteristics of smartphones affect smartphone usage addiction and how smartphone usage addiction affects social withdrawal. Given the literature review, a questionnaire survey was conducted; and the PLS(Partial Least Square), a kind of SEM(Structural Equation Model), was used to analyze and test the research model and hypotheses. The research results indicated that smartphone users' self-monitoring, loneliness, and smartphone characteristics affect users' usage addiction. Further, smartphone users' usage addiction affects their social withdrawal. Finally, theoretical and practical implications of these findings and directions for future research were discussed.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.147-159
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• 2014

This study aims to offer a wide range of practical implications for Smartphone addiction prevention by verifying the effect of mind health as a factor that is influenced by Smartphone addiction, and testing the relationships between Smartphone addiction and mind health with school life adaptation as a mediation effect. For this research, a survey was conducted of 250 elementary school students who use Smartphones. The relationships between Smartphone addiction, mind health and school life adaptation were set as the structural equation model, and they were verified by the mediation effect of school life adaptation. The results showed that school life adaptation turned out to be an entirely mediating variable on the relationship between mind health and Smartphone addiction. The statistical significance of the effect on school life adaptation was verified by the Sobel test. The mediation effect resulted in mind health reducing the occurrence of negative emotion of school life adaptation, and also reinforced decreased Smartphone use.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.1
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• pp.185-192
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• 2016

The purpose of this study is to compare smartphone addiction tendencies among the subdivided groups of undergraduates according to their lifestyle characteristics integratively. The results of positive analysis are as follows: first, undergraduates' lifestyles were drawn as six factors: the 'economic oriented type', 'aggressive activist type', 'fashion pursuing type', 'self-confident type', 'materialistically oriented type', and 'free will pursuing type'. Second, according to the result of dividing the groups based on the six factors, they were classified into the 'fashion pursing group', 'self-confident group', and 'aggressive, self-confident, and materialistically oriented group'. Third, each of the subdivided groups showed significant difference in smartphone addiction. Generally, the 'fashion pursuing group' indicated higher smartphone addiction tendencies than the other group. The findings of this study can provide fundamental and useful information to solve problems related to smartphone addiction resulted from excessive use of smartphones and causing a lot of troubles socially and also in health.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.13-22
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• 2013

Smartphone addiction has become more serious than internet addiction since people can download and run numerous applications with smartphones even without internet connection. However, smartphone addiction is not sufficiently dealt with in current studies. The S-scale method developed by Korea National Information Society Agency involves so many questions that respondents are likely to avoid the diagnosis itself. Moreover, since S-scale is determined by the total score of responded items without taking into account of demographic variables, it is difficult to get an accurate result. Therefore, in this paper, we have extracted important factors from all data, which affect smartphone addiction, including demographic variables. Then we classified the selected items with a neural network. The result of a comparative analysis with backpropagation learning algorithm and multiclass support vector machine shows that learning rate is slightly higher in multiclass SVM. Since multiclass SVM suggested in this paper is highly adaptable to rapid changes of data, we expect that it will lead to a more accurate self-diagnosis of smartphone addiction.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.231-239
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• 2024

This study was conducted with the purpose of understanding the factors that influence smartphone addiction on adolescents' school adaptation. The subjects were examined with a focus on students currently attending middle schools in Gwangju Metropolitan City, and data analysis was conducted using SPSS 26.0 to examine the factors influencing school adaptation, focusing on the inducements and forced inducements that lead teenagers to fall into smartphone addiction. As a result of the analysis, it was found that anonymity and desire satisfaction among the attractive factors leading to smartphone addiction have a negative impact on school adaptation, and the forcing factors that cause adolescents to become overly dependent on smartphones include online games, online chatting, online addiction, and social interaction. It was analyzed that both action and information search had a negative impact on adolescents' school adaptation. Based on the above results, policy recommendations were presented by considering the points pointed out by the two discovered factors.

• Journal of dental hygiene science
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• v.20 no.1
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• pp.44-50
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• 2020

Background: Smartphones are a modern necessity. While they are convenient to use, smartphones also have side effects such as addiction. This study assessed the relationship between smartphone use, a part of everyday life in modern society, and oral health. Methods: An analysis was conducted using 2017 Korea Youth Risk Behavior Web-based Survey data. The propensity score estimation algorithm used logistic regression and 1:1 matching algorithm using nearest-neighbor matching. After matching, a total of 15,032 participants were classified into two groups containing 7,516 teenagers each who did and did not use smartphones, respectively. Results: Comparison of oral health behaviors according to smartphone use revealed a statistically significant difference in the frequency of tooth brushing per day, use of oral hygiene products, intake of foods harmful to oral health, and experience of oral health education (p<0.05). The factors affecting oral pain experience of adolescents were examined. Compared to male participants, female participants had an odds ratio of 1.627 for oral pain (p<0.05). According to the household income level, compared to the group with higher income, the group with lower income showed higher oral pain experience (p<0.05). Oral pain experience was 1.601 times more frequent among teenagers using smartphones (p<0.05). Conclusion: The results of this study indicated that use of smartphones by adolescents affected their oral health. These findings indicate the need for improved oral health management through the use of effective school oral health programs and individual counseling by oral health professionals, promotion of information dissemination through public media, and development of prevention strategies.