• Journal of the Korean Society of School Health
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• v.31 no.3
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• pp.135-145
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• 2018

Purpose: The study aimed to investigate the factors associated with long hours of smartphone usage and to identify the characteristics of the high-risk group among female middle school students in South Korea. Methods: The study analyzed the data of 13,648 female middle school students using their own smartphone extracted from the 13th Youth Health Behavior Online Survey (2017). The factors related to using smartphones for a long time was analyzed by binomial logistic regression. The characteristics of the high-risk group was defined by a decision tree analysis. Results: The average hours spent on smartphone usage was 269.54 minutes per day. The significant factors associated with the long hours of smartphone usage were grade, living with parents, perceived household economic status, perceived academic achievement, stress, sadness and hopelessness, the main purpose of smartphone usage, drinking, body mass index, breakfast, and satisfaction with sleep quality. The subjects showing low academic performance and having breakfast four times a week or less were more likely to use their smartphone for a long time. Conclusion: Based on the results of the research, we need to establish intervention strategies focusing on the factors influencing long-time usage of smartphone. Particularly, the subjects who show poor academic performance and skip breakfast frequently should be considered as the high-risk group for spending long hours on smartphone usage.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.1
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• pp.166-178
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• 2014

Purpose of this study was conducted to investigate the factors influencing smartphone addiction of high school students. The data were collected from 351 high school students in B city and analyzed with t-test, ANOVA and multiple regression by using SPSS 18.0 program. The smartphone addiction rate was 20.8%, which the high risk group rate was 8.5% and potential risk group rate was 12.3%. The significant factors of smartphone addiction were using time in weekend, accident in using smartphone, aggression, depression, attachment to peer and behavior control of learning attitude. And these factors explained 33.4% of the variance in smartphone addiction. In conclusion, the results from this study indicated a need to develop the intervention program to prevent smartphone addiction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.1213-1235
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• 2013

In this paper, we investigated the factors affecting the intention to use smartphone banking with a research model based on the Technology Acceptance Model (TAM) extended to include security risk, trust, and self-efficacy. With analysis after controlling factors such as age, gender, and previous experience of smartphone banking that may have effects, we conclude that perceived usefulness, perceived ease of use, security risk, and trust have direct effect on the intention to use smartphone banking, and self-efficacy has indirect effect on the intention to use through mediation of perceived ease of use. We performed a study to check the validity of TAM in the context of smartphone banking, and confirmed that perceived ease of use has both direct and indirect effect on the intention to use.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.27 no.3
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• pp.188-195
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• 2016

Objectives: The aim of this study was to investigate the relationship between internet addiction, smartphone addiction, and psychosocial factors. This study was designed to examine the vulnerability factors for internet and smartphone addiction. Methods: The participants were 1041 children and adolescents in a small and medium-sized cities. All of the participants were evaluated in terms of their demographic characteristics and present use of the internet and smartphone, as well as using internet and smartphone addiction and other psychological scales. Statistical analyses were performed to compare the psychosocial factors between the high risk, potential risk, and general user groups of internet and smartphone addiction. Results: The participants were classified into three groups, the high risk (N=33), potential risk (N=203), and general user (N=805) groups with regard to their internet and smartphone addiction level. There were statistical significantly differences between the groups in terms of the economic status of the family, academic performance, parents, use of internet and smartphone, loneliness, family cohesion, family adaptability, perceived social support, and peer relationship. Conclusion: These results suggest that the internet and smartphone addiction of children and adolescents is related to various psychosocial vulnerability factors.

• 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.36 no.3
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• pp.82-91
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• 2023

Purpose: This study aims to identify gender-based differences in factors related to smartphone overdependence among middle school students. Methods: The subjects of the study were middle school students who participated in the 16th Korea Youth Risk Behavior Survey (2020). Frequency analysis, the Rao-Scott χ² test, and multiple logistic regression were performed using SPSS 27.0. Results: Identified risk factors were grade level, self-reported health, self-reported happiness, loneliness, smoking, drinking, poor sleep quality, physical activity, and generalized anxiety disorder, which were commonly found in all participants. Additionally, stress was found related only in boys, while the residential area and depression showed associations only in girls. In particular, the more severe was the level of generalized anxiety disorder, the higher was the risk ratio of the high-risk group, compared to the potential-risk group. Conclusion: Based on the findings of the study, a customized strategy that considers gender differences should be developed in order to prevent smartphone overdependence in middle school students.

• 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.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.684-697
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• 2021

This study seeks to establish the structural relationship between the personal psychological risk factors of teenagers of depression, anxiety and impulsiveness and smartphone addiction (daily disability, virtual orientation, tolerance, withdrawal) and self-elasticity (vitality, optimism, curiosity, interpersonal relationships). Through this verification, the purpose of this study is to find out if the integrated model of smartphone addiction and self-elasticity and smartphone addiction among teenagers is reasonable, and to suggest ways to prevent and solve smartphone addiction among teenagers. In order to achieve this purpose, 356 teenagers in Seoul and the metropolitan area were surveyed for two months from August to September 2019 and the results were analyzed. The findings of this study are as follows. First, the "smartphone addiction factors" (depression, anxiety and impulsive) of adolescents have been shown to have negative effects on their self-elasticity (vitality, optimism, curiosity, interpersonal relationships). Second, the "smartphone addiction factors" (depression, anxiety and impulsive) of teenagers have been shown to have positive effects on the "smartphone addiction" (daily disability, virtual orientation, tolerance, withdrawal). Third, the youth's "self-elasticity (vitality, optimism, curiosity, interpersonal relationship)" was shown to have a negative impact on "smartphone addiction (daily disability, virtual orientation, tolerance, withdrawal)." The significance of this study is that it has examined personal psychological risk factors that affect smartphone addiction and suggested measures to prevent smartphone addiction among teenagers and solve related problems by micro-analyzing the effects on smartphone addiction by utilizing self-elasticity.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.207-214
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• 2014

Recently, smartphone spyware resembles various types of virus components in PCs and has trends getting more and more severe. Users do not perceive the risk factors severely even if smartphone security is very vulnerable in spite of the smartphone spyware growth. Thus, this study observes the influence of information security in selecting smartphone based on the personal inclinations and spyware perceptions. The main variables of study model are such as the degree of personal risk-accepting and the risk of smartphone spyware as independent variables and smartphone purchasing intention as a dependent variable. The model is tested using SPSS 21 packages on the effective 200 samples gathered through questionnaire survey on the present smartphone users. As a result, the two main hypotheses which are "the degree of personal risk-accepting will influence on the perceiving risk of smartphone spyware" and "the perceiving risk of smartphone spyware will influence on smartphone purchasing intention" were significant statistically. Therefore, we could find out information security's influence on the selecting smartphone.

• Journal of The Korean Association of Information Education
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• v.18 no.2
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• pp.203-212
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• 2014

With regard to recently emerged problems of smartphone addiction among adults and adolescents, this paper researched upper-grade elementary students depending on various demographic factors that have not been studied thoroughly so far. The survey was conducted on 1570 students in grades 4~6 of schools in Gyeonggi province. Results showed that, first, the average rate of smartphone ownership was about 66%. Second, about 1% of the students belonged to high-risk group, 5.7% to at-risk group, and normal user group was 93.3%. Third, based on the demographic factors, grade and academic achievements each was significantly correlated to the type of addiction group. For example, students with poor academic performance or in higher grade were more likely to be highly addictive. Fourth, both groups of at-risk and of normal-user pertaining to these factors - in urban areas, male students, sixth-grade, in dual income families - showed higher addictiveness score. But they were contrasted in the aspects of household economy and academic performance: at-risk group was more addictive in affluent families or excellent academic performance, whereas normal-user group had higher level of addictiveness in case of poor families or lower academic performance.