| Eun Jee Lee | 4 Articles |
Purpose
This study aimed to identify the main keywords and research topics used in research on problematic smartphone use (PSU) among children (6-12 years old), including parental factors. Methods The publication period for the literature was set from January 2007 to January 2022, as smartphones were first released in 2007. In total, 395 articles were identified, 230 of which were included in the final analysis. Text network analysis was performed using NetMiner 4.5. Results Research on this topic has steadily increased since 2007, with 40 papers published in 2021. Eight main research topics were derived: group 1, parental attitudes; group 2, children's PSU behavior and parental support; group 3, family environment and behavioral addiction; group 4, social relationships; group 5, seeking solutions; group 6, parent-child relationships; group 7, children's mental health and school adaptation; and group 8, PSU in adolescents. Conclusion Parental factors related to PSU have been studied in various aspects. However, more active research on school-age children's PSU needs to be conducted due to the paucity of research in this population compared to studies conducted among adolescents. The results of this study provide useful data for selecting research topics in the field of PSU. Citations Citations to this article as recorded by
Purpose
This study investigated differences in the relationships of factors including emotional problems, self-perception, parental behavior, and peer attachment with smartphone dependency (SD) among middle school, high school, and college students in South Korea. Methods This study used data from a nationwide sample of 1,882 middle school, 1,821 high school, and 1,346 college students who owned smartphones. Descriptive statistics and multiple regression analysis were conducted to investigate the predictors of SD based on school level. Results SD scores significantly differed across school levels. Female gender, more aggressive behavior, less ego-identity, and less monitoring parental behavior were linked to higher SD at all school levels. Less self-esteem and intrusive parental behavior were linked to SD in middle school students. In high school students, additional factors related to higher levels of SD were resilience, intrusive / inconsistent parental behavior, peer trust and alienation, and depression. Additionally, resilience, over-expectant parental behavior, and peer trust were linked to higher SD in college students. Conclusion This study provides insights into SD and predictors of SD among middle school, high school, and college students. Based on these findings, SD prevention programs should be developed according to the developmental stages of adolescents and young adults. Citations Citations to this article as recorded by
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 χ2 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. Citations Citations to this article as recorded by
Purpose
The aim of this study was to assess the body weight perception of adolescents and to investigate the difference between mental health and weight control behavior according to body weight perception. Methods Study data on 12-18 years old adolescents with normal BMI was obtained from the 6th Korea National Health and Nutrition Examination Survey (2013-2015). Rao-Scott Chi-square test and ANOVA were used for the analysis. Results The percentage of adolescents with a misperception of body weight was 43.3%, and their subjective health status (p=.013), stress perception (p=.001), and depression (p=.001) were worse than for adolescents who had the correct perception of their body weight. The percentage of adolescents who were trying to lose weight while perceiving their body weight as normal was 36.9%. Body weight control behavior had significant differences according to dietary intake (frequency of eating dinner (p=.015)), energy intake (p=.004), and carbohydrate intake (p<.001), but there was no significant difference according to exercise. Conclusion Parents, school teachers, and nurses should make efforts to ensure that Korean adolescents perceive their body weight correctly, and prevent unhealthy weight control behaviors. Citations Citations to this article as recorded by
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