Journal of the Korean Academy of Child and Adolescent Psychiatry
/
v.29
no.1
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pp.26-30
/
2018
Objectives: To investigate the association of problematic Internet use with oral health behaviors and oral health status in a nationally representative sample of Korean adolescents. Methods: Data from the 2010 Korea Youth Risk Behavior Web-based Survey (73238 Korean adolescents; mean age $15.06{\pm}1.75years$; age range, 12-18 years) were used. Problematic Internet use was measured using the Korean Internet Addiction Proneness Scale for Youth-Short Form. Self-report questionnaires were used to assess oral health behaviors and oral health status of adolescents. Results: Problematic Internet users were less likely to brush their teeth frequently [adjusted odds ratio (AOR)=0.59; 95% confidence interval (CI)=0.56-0.63] and at school after lunch (AOR=0.89; 95% CI=0.83-0.94) as well as more likely to perceive their oral health to be poorer (AOR=1.63, 95% CI=1.54-1.72) and experience oral symptoms (AOR=1.75, 95% CI=1.65-1.86) compared to usual Internet users. Conclusion: The study results indicate that problematic Internet use may adversely affect the oral health of Korean adolescents. Thus, oral health screening and Internet-based education are needed for adolescents experiencing problematic Internet use.
Kim, Sang-Hyun;Yim, Hyeon-Woo;Jo, Sun-Jin;Jung, Kyu-In;Lee, Kina;Park, Min-Hyeon
Journal of the Korean Academy of Child and Adolescent Psychiatry
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v.29
no.2
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pp.73-79
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2018
Objectives: The overuse of the Internet among adolescents has increased dramatically in recent years, leading to pathological or problematic Internet use. Cognitive behavioral therapy (CBT) is known to be effective for the treatment of problematic Internet use, particularly for adolescents. The aim of the present study was to evaluate the therapeutic efficacy of group CBT for problematic Internet use in adolescents. Methods: A total of 17 patients aged 12-17 years who met Young's diagnostic questionnaire criteria of problematic Internet use participated in a school-based eight-session group CBT program. The level of problematic Internet use among participating students was measured using Young's Internet Addiction Scale (IAS). Depression and anxiety levels were evaluated using the Children's Depression Inventory (CDI) and the State-Trait Anxiety Inventory (STAI), respectively. Each construct was assessed at baseline, immediately after the intervention, and at a one-month follow-up visit. Statistical significance was based on a p-value of <0.05. Results: Immediately after the program, the IAS, CDI, and State Anxiety Inventory (SAI) scores were significantly lower than before the program. At the one-month follow-up assessment, the IAS scores remained low, and the CDI and SAI scores were even lower than immediately after the program. Conclusion: Group CBT was effective for adolescents with problematic Internet use, and was also demonstrated to improve depression and anxiety.
Journal of the Korean Academy of Child and Adolescent Psychiatry
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v.18
no.2
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pp.130-137
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2007
Objectives: Studies investigating problematic internet use have increased rapidly and have been focused on its causes, psychopathology, prevalence, characteristics and so on. However, there are few studies concerning the correlation between problematic internet use and youth health risk behavior. Therefore, the purpose of this study was to examine the relationship between problematic internet use and youth health risk behavior. Methods: A community sample of 632 high school students in grades 10 and 11 was collected for the survey. The sample was assessed using the Youth Risk Behavior Surveillance System(YRBSS) and Young's Diagnostic Questionnaire of Internet Addiction(YDQ). The subjects were classified into two groups: normal and problematic internet use, and the problematic internet use group was further divided into at-risk use and addiction groups. Results: There were 56 subjects(8.9%) in the internet addiction group and 56 subjects(8.9%) in the at-risk internet use group. The other 507 subjects were classified as normal. The subjects in the internet addiction group kissed more frequently and ate less fruit than those in the normal group. They also showed a relatively higher tendency to watch TV, ride in a car driven by a drunk driver and to carry a weapon than those in the normal group. There were no differences in health risk behaviors between the subjects in the internet addiction group and those in the at-risk internet use group, except for the possibility of riding in a car driven by a drunk driver. Conclusion: Unlike the normal group, there was very little difference in health risk behavior between the internet addiction group and the at-risk internet use group, which indicates that the addiction group and the at-risk internet use groups are homogenous. It is important to focus on the behavior of individuals in the at-risk group, and preventive measures should be taken in order to reduce the possibility of at-risk adolescents becoming addicted.
International Journal of Internet, Broadcasting and Communication
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v.11
no.2
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pp.84-92
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2019
While the Internet continues to integrate with modern lives, the risks of negative outcomes resulting from problematic use (PU) are also increasing. Although psychological well-being and use motivations have been shown to play major roles in Internet PU, understanding the moderating mechanism is critical for advanced knowledge. The present study employed survey data from users of a live video-game streaming service (LVGS) that is an area rarely been studied. Result concluded a positive moderating effect of escapism motive (EM) on the association between loneliness and the PU of LVGS, while the moderating mechanism between EM and stress was not indicated. A moderating effect of information seeking (IS) on the relationship between stress and the PU of LVGS was found negative, but no mechanism between IS and loneliness was indicated. This study highlights how the interplay of different motivation and pathologies may induce or prevent video-game-related addiction.
Purpose: The prevalence of problematic internet usage among college students is a cause for concern. There is a lack of study examining influences of cognitive protecting or buffering factors on internet addiction among college students. The purpose of this study was to examine influences of depression, ego-resilience, and active stress coping on internet addiction tendency (IAT) among college students. Methods: A cross-sectional, descriptive design was used. Data were collected between October and December 2013. A convenience sample of 244 students completed self-report questionnaires consisting of Ego-resiliency Scale, Ways of Coping Checklist, Center for Epidemiologic Studies-Depression, and Self-report Scale for Internet Use. Stepwise multiple regression analysis was performed for data analysis. Results: We found that higher levels of depression were associated with higher levels of IAT. However, an inverse association was found between active stress coping and IAT. Students who mainly used the internet for chatting showed lower levels of IAT than those who used the internet for games or blogs. These factors explained 15.1% of the variance in IAT of college students. Conclusion: The study results suggest that stress coping strategies and depression are important factors for evaluation when developing intervention programs targeting college students with problematic internet use.
Objectives: This study aimed to identify general characteristics of health status and health behavior of adolescents in accordance with their purposes with internet. Methods: Based on Adolescent Health Behavior Online Survey (KYRBS) in 2014, a total of 57,333 adolescents who had used internet were examined in this study. Results: Users for non-academic purposes were associated with male, low grades, low education level of parents, low income level, being apart from parents, being without any consulting partners, being with one parent families, low perceived health status, the experience suicidal ideation and negative health behavior such as alcohol and tobacco. In particular, these trends were appeared strongly by internet users for the purpose of the non-academic purposes. Male among high grades is shown to be mostly Academic internet users and they were more likely to have problems with some health behaviors such as exercise frequency and smoking. Conclusions: Target population should be internet users for only non-academic purposes to prevent internet addiction of adolescents. Internet addiction prevention program should be provided in terms of mental health and problematic behavior. Additionally, health behavior of internet over user for only academic purposes should be concerned.
The purpose of this study is to investigate the effect of parenting behavior and parent-child communication on internet use among school-aged children. The subjects were 215 children whose grade are 3rd and 5th selected from an elementary school in Incheon. The statistics used for this data were t-test, one-way ANOVA(Duncan's test), and stepwise regression. The findings from the present study suggested that academic achievement and birth order turned out to be significant variables on children's internet use, except for sex and grade. Results of the stepwise regression analyses that the etiologic model of this study was more proper, and parenting behavior is more effective variable than parent-child communication in predicting internet use among school-aged children. Implications based on this study are as follows; In order to decrease the degree of school-aged children's internet use, parents should do less permissive parenting behavior and problematic communication with their children.
Purpose - The purpose of this study is to explore the possibility of predicting the degree of smartphone overdependence based on mobile phone usage patterns. Design/methodology/approach - In this study, a survey conducted by Korea Internet and Security Agency(KISA) called "problematic smartphone use survey" was analyzed. The survey consists of 180 questions, and data were collected from 29,712 participants. Based on the data on the smartphone usage pattern obtained through the questionnaire, the smartphone addiction level was predicted using machine learning techniques. k-NN, gradient boosting, XGBoost, CatBoost, AdaBoost and random forest algorithms were employed. Findings - First, while various factors together influence the smartphone overdependence level, the results show that all machine learning techniques perform well to predict the smartphone overdependence level. Especially, we focus on the features which can be obtained from the smartphone log data (without psychological factors). It means that our results can be a basis for diagnostic programs to detect problematic smartphone use. Second, the results show that information on users' age, marriage and smartphone usage patterns can be used as predictors to determine whether users are addicted to smartphones. Other demographic characteristics such as sex or region did not appear to significantly affect smartphone overdependence levels. Research implications or Originality - While there are some studies that predict smartphone overdependence level using machine learning techniques, but the studies only present algorithm performance based on survey data. In this study, based on the information gain measure, questions that have more influence on the smartphone overdependence level are presented, and the performance of algorithms according to the questions is compared. Through the results of this study, it is shown that smartphone overdependence level can be predicted with less information if questions about smartphone use are given appropriately.
Purpose: This study intended to identify personality factors and related problematic behaviors of adolescents who drink alcohol in order to provide basic data for developing nursing programs. Methods: The data were collected from October to December 2002 from 1.080 high school students in Seoul. The Revised Cloninger's Tri-dimensional Personality Questionnaire (TPQ) was used to measure their personalities. The alcohol expectancy was measured using the tool revised by Cho (1999) and stress levels were measure using a stress tool revised Cho (1998). The data were analyzed with SPSS Windows using Chi square test. independent t-test. and logistic regression analysis. Results: 1. The percentage of fathers who drank was 79.8%. mothers. 54.3%. and friends. 54.3%. The alcohol expectancy averaged 6.36 while the stress levels were 132.79. 2. It was found that there are significant differences (p<.001) in problematic drinking behaviors according to the following variables: second year high school students among all grade variables, more monthly pocket money for the amount of money variables, the group of students who smoked in the case of the variable related to smoking, spending more time using the Internet for the Internet use variable, and having friends who drink 65.6% for the friend variable. The alcohol expectancy scale of those students who showed problematic drinking behaviors was higher than that of those who did not. There are four family-related stress subscales, and there was a significant difference among them (p<.05). Among the personal characteristics, the group who displayed problematic drinking behaviors seeks new experiences and reward dependence more than the group who did not exhibit those behaviors, and there were significant differences between the two groups (p<.001). 3. When the socio-demographic and drinking-related factors were controlled, the tendency of seeking new experiences increased the risk of problematic behaviors 1.07 times (p<.05). Compared to the non smoking group, the smoking group was found to have a 5.06 time (p<.001) greater risk of displaying problematic drinking behaviors. In comparison with the non drinking group, the drinking group was also found to have a 5.31 time (p<.001) greater risk of exhibiting problematic drinking behaviors. The group with high alcohol expectancy scores was significantly different from the group with the no alcohol expectancy, showing a 1.26 time (p<.00l) greater risk of problematic drinking behaviors. Conclusions: Based on these results, the problematic drinking behaviors were connected with alcohol expectancies, friends and personality types. Therefore, we should develop an alcoholic prevention program for adolescence considering the above results.
This study is to examine how middle and high school students vary in terms of good and bad usage of online games and how these factors have varying effects on their use of the internet as a whole. My focus is to study their behavioral patterns individually while playing internet-based online games. The results are as follows: First, 260 out of 390 subjects used the internet. Male students who are high school students with siblings, or preschool time game users were revealed to play online games more often rather than female students who are middle school students with no siblings, or non-preschool time game users. Secondly, the analysis of differences of good and bad usage of online games revealed that there is a significant correlation between gender and beginning age. Lastly, a thorough analysis of the average difference in terms of following the online game shutdown found that there is no significant correlation among the sub-groups. However, an analysis of the difference of the problematic game usage has shown that there is a significant difference in the heavy user group. This findings means that the students who don't follow the online game shutdown spend more time than those who do.
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