• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.6
• /
• pp.188-196
• /
• 2018

The aim of this study was to investigate the effect of parent-child communication style on smartphone addiction and depression among female college students. The subjects were 151 female students in three different universities located in S city. Data collection for Parent-Adolescent Communication Inventory (PACI), Smartphone Addiction Proneness Scale, and the Center for Epidemiologic Studies-Depression Scale (CES-D) were conducted from November 1 to December 8, 2017. The collected data were analyzed by t-test, Pearson's correlation coefficients, and multiple regression analysis. Smartphone addiction in college students was 35.08 (SD = 6.83), and when communication with the mother was absent and the problem recognized, smartphone addiction was higher (${\beta}=.27$, p = .028). Open communication with the father lowered smartphone addiction (${\beta}=-.27$, p = .030). Depression in female college students was 15.86 (SD = 10.45), and 45% experienced depression. Depression was higher when communication with the mother was higher (${\beta}=.29$, p = .022). Therefore, a customized communication program that focuses on parent-child communication as a strategy to reduce or prevent degree of addiction and depression of female college students will be helpful.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.9
• /
• pp.536-547
• /
• 2020

This study analyzed the correlation between adolescents' smartphone addiction as well as depression, self-esteem, and self-regulation based on QEEG (Quantitative Electroencephalogram) analysis. The study period was from March 19 to July 12, 2019, and the subjects were 76 students at P Middle School in Gyeonggi-do (normal group 47, risk group 29) who filled out a questionnaire and were subjected to quantitative EEG. The data analysis was performed via frequency analysis, independent t-test, correlation analysis, and path analysis of the IBM SPSS Statics 21.0 program. First, smartphone addiction had a positive correlation with depression. Second, smartphone addiction showed a negative correlation with self-esteem and α wave. Third, depression showed a negative correlation with self-esteem, which did not show a significant correlation with self-regulation. Fourth, depression was higher in the risk group than the normal group. For self-esteem, the normal group scored higher than the risk group. Self-regulation showed higher significant differences with the normal group than the risk group. Fifth, for α wave and SMR, the normal group scored higher than the risk group. Sixth, α waves had a negative effect on smartphone addiction. This study is meaningful in that it applied a brain science approach using quantitative analysis for objective evaluation of smartphone addiction.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.26 no.3
• /
• pp.159-164
• /
• 2015

Objectives : The current study investigated the risk of smartphone addiction among children and adolescents with or without attention-deficit hyperactivity disorder (ADHD), risk of depression, anxiety, and self-esteem using the Smartphone Addiction Scale Proneness, Kovac's Children's Depression Inventory, State-Trait Anxiety Inventory, and Rosenberg Self-Esteem Scale, commonly used in clinical medicine. Methods : Ninety five students with ADHD who visited psychiatry outpatient clinics completed the questionnaire. At the same time, 592 middle and high school students living in a similar area regardless of ADHD diagnosis, completed the questionnaire as control subjects. Results : Overall, 40.0% of 95 ADHD and 12.8% of 592 control subjects were classified as the smartphone addiction proneness group, 26.3% of the ADHD subjects and 8.3% of the control group were classified as the depression group, and 32.6% of the ADHD subjects and 16.2% of the control group were classified as the anxiety group. Significant differences were observed between the two groups. Conclusion : The results of this study suggest that ADHD subjects are more prone to smartphone addiction, becoming depressed or anxious than those in the control group. From this study, we could suggest that students with ADHD are more easily affected by smartphone addiction than normal control subjects. In addition, we might understand how some psychiatric problems like depression, anxiety, and low self-esteem are related to ADHD and smartphone addiction.

• Journal of Digital Convergence
• /
• v.17 no.11
• /
• pp.327-337
• /
• 2019

The purpose of the current study was to examine dual mediation effect of executive function deficiencies and adaptive cognitive emotion regulation strategies in the relation of smartphone addiction and subjective well-being and to suggest implications for adult smartphone addiction intervention programs. A self-report survey was conducted to 148 adults(71 males and 77 females) and the mediation effect was evaluated by regression analyses. Key findings are as follows. First, executive function deficiencies showed mediation effect on the relationship between smartphone addiction and adaptive cognitive emotion regulation strategies. Second, significant mediation effect of adaptive cognitive emotion regulation strategies was not found on the relationship between smartphone addiction and subjective well-being. Finally, the relation of smarphone addiction and subjective well-being was mediated by executive function deficiencies and adaptive cognitive emotion regulation strategies. These results imply that it would be helpful to train executive function and foster emotion regulation strategies to the adult smartphone addiction groups. Finally, limitations of this study and suggestions for future research of the entire adult age group were discussed.

• Journal of Convergence for Information Technology
• /
• v.11 no.8
• /
• pp.129-136
• /
• 2021

This study aims to verify the influence of married men in their 30s and 40s on smartphone addiction, the mediating effect of depression, and the moderating effect according to age. To this end, samples were set up as a convenient sampling for married men in their 30s and 40s living in the Seoul, Gyeonggi, Incheon metropolitan. To verify the influence relationship, mediating effect, and moderation effect of the main variables, we compare the differences in influence by dividing age groups through spss win 25 program Baron & Kenny's analysis, Sobel test, and multi-regression analysis. The analysis results are as follows. First, stress has a positive effect on depression and smartphone addiction, and depression has a positive effect on smartphone addiction. Second, depression has been shown to have a partial mediating effect in the relationship between stress and smartphone addiction. Third, there was a difference in influence between stress and smartphone addiction depending on age groups. Based on the above results, we present policy implications and follow-up research suggestions.

• Journal of the Korean Data and Information Science Society
• /
• v.24 no.1
• /
• pp.13-22
• /
• 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 Convergence for Information Technology
• /
• v.9 no.11
• /
• pp.202-211
• /
• 2019

This study was conducted to identify the correlation between smartphone addiction, sleep quality, and depression in college students. The participants were 304 college students in G area. Data were collected using self-report questionnaires and data were analyzed by frequency, percent, mean, standard deviation, t-test, One way ANOVA and Pearson correlation coefficient. The results showed that there was a significant negative correlation between smartphone addiction and sleep quality, a significant positive correlation between smart addiction and depression, and a significant negative correlation between sleep quality and depression. Therefore, the results of this study can be used as a useful basic data when looking for education and program development strategies to improve and prevent smartphone addiction, sleep quality, and depression of college students. In addition, it is required to apply a systematic educational program considering this.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.1
• /
• pp.231-239
• /
• 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 Korean Biological Nursing Science
• /
• v.21 no.3
• /
• pp.231-238
• /
• 2019

Purpose: In 2015, South Korea had the highest global smartphone penetration (88%). However, smartphone addiction can seriously disrupt daily life and have a major negative impact on academic achievement. Methods: A structured questionnaire was completed by 250 nursing students for this descriptive study. Results: Students who were older, more satisfied with their major, exercised, and used their smartphone for less than 30 minutes before sleeping had higher learning engagement than those who were younger, less satisfied, did not exercise and used their smartphone for more than three hours. Quality of sleep and smartphone addiction were negatively correlated as was quality of sleep and daytime sleepiness. Interestingly, sleep pattern did not impact learning engagement directly. Conclusion: Smartphone usage influences learning engagement of nursing students rather than their sleeping patterns, which suggests a need to develop self-disciplining strategies for smartphone use to enhance learning engagement.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.5
• /
• pp.353-361
• /
• 2020

This study examined the effects of pre-service early childhood teacher's adult-attachment, mental-health and resilience on smartphone addiction tendency. The participants were 283 pre-service early childhood teachers in Seoul and Kyungkido. Collected self-report data were analyzed by correlation analysis and hierarchical regression analysis. The results were as follows. First, there were 228 people (81 percent) in the regular user group and 55 people(19 percent) in the risk user group. Second, there were significant differences in adult-attachment, mental-health and resilience according to smartphone addiction tendency. Third, anxiety(adult-attachment) and mental-health had a positive correlation, and control and affirmation(resilience) had a negative correlation with pre-service early childhood teachers' smartphone addiction tendency. Fourth, all variables influenced pre-service early childhood teachers' smartphone addiction tendency. This study provides practical suggestions for smartphone usage and preventive measures for pre-service early childhood teachers' smartphone addiction.