• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.1-10
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• 2013

Objectives: The objective of this study was to assess the relationship between internet addiction and health behaviors & mental health among Korean adolescents. Methods: Data from the 2010 Korean Youth Risk Behavior Web-based Survey was analyzed. Using the Korean Internet Addiction Proneness Scale for Youth-Short Form: Self Report developed by the Korean National Information Society Agency in 2008, subjects were classified into 3 groups for internet addiction including general user, potential-risk group, and high-risk group. The health behaviors and mental health were compared among the groups for internet addiction by gender. Results: There was significantly higher prevalence of internet addiction including potential-risk group and high-risk group in boys(14.1%) than in girls(8.8%). There were significant odds ratios of perceived stress, perceived depression, perceived health and happiness, and satisfaction of sleeping in both genders at potential-risk group and high-risk group compared to general user for the internet addiction. The odds ratios of smoking at high risk group, alcohol drinking at potential risk group, eating breakfast at high risk group, and moderate physical activity at both risk groups among boys were significant. Among girls at both risk group, the odds ratios of smoking, alcohol drinking, and eating breakfast were significant. Conclusions: This study reveals a significant association among internet addiction, and health behaviors, and mental health in Korean adolescents.

• Journal of the Korean Dietetic Association
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• v.23 no.4
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• pp.408-430
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• 2017

The purpose of this study was performed to investigate dietary and lifestyle habits, dietary behaviors, and food frequency according to the level of smartphone addiction among 408 university students in Kyungnam province. Statistical analyses were performed using the SPSS software package. Based on using the Smartphone Addiction Poneness Scale, 28.4% were potential-risk smartphone users and while 13.2% were high-risk smartphone users. The levels of depression (P<0.05) and stress (P<0.05) and frequency of snacks (P<0.01) were higher in high-risk and potential-risk groups than in the normal group, and meal frequency was highest in the high-risk group (P<0.01). Percentages of using a smartphone at meal time (P<0.01) and snacking while using a smartphone (P<0.01) were higher in potential-risk and high-risk groups than in the normal group. Percentages of skipping meals (P<0.001) and slow eating speed (P<0.01) due to using a smartphone were higher in high-risk and potential-risk groups than in the normal group, and percentages of taste change (P<0.05) were higher in the high-risk group than in the potential-risk and normal groups. Percentages of exercise reduction (P<0.01), body weight increase (P<0.05), sleep disturbance (P<0.001), and increase in stress (P<0.01) due to using a smartphone were higher in the high-risk group than in the normal group. Scores of dietary behaviors avoiding salty food (P<0.01) and excessive drinking (P<0.001) were higher in the high-risk group than in the normal group. Scores for frequency of oil or nuts (P<0.05) and fatty meats (P<0.01) were highest in the high-risk group. Our results suggest that effective nutrition education programs are needed to solve unhealthy dietary and lifestyle habits from high-risk smartphone users in university students.

• Journal of The Korean Association of Information Education
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• v.19 no.4
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• pp.431-440
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• 2015

The purpose of this study is to analyze the influence of digital textbook use for potential risk group of internet addiction and average group. For this, I selected two samples. One was a group to use digital textbook at school, the other was a group not to use that. Then each potential risk group of internet addiction were sort out in two groups by a test of internet addiction. I firstly compared a average user group and a potential risk group of internet addiction in group to use digital textbook. Also, I too did that in group not to use digital textbook. Then I analyzed the relevance of using digital textbook and internet addiction. As a result, I found that using digital textbook have not the relevance with internet addiction. But in this paper, I proposed a way to teach ICT ethical training before students use the digital textbook, because most of potential risk students of internet addiction tend to think they was influenced by digital textbook.

• The Journal of Korean Society for School & Community Health Education
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• v.5
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• pp.11-23
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• 2004

The purpose of this study was to analyze the internet usage patterns among adolescents and to provide basic data for the development of internet addiction prevention program. The subjects of this study were 1169 students in middle and high school students in Seoul, Korea. Self-administered questionnaires were employed and data were analysed by SPSS 12.0. Major conclusions were as follows: 1. Most of the students were found to be the normal internet users. On the other hand, potential risk group was 8.2% and high risk group was 4.7%. Every students have had an experience of inter use. The 90.6% of the students' households had internet links. The percentage of students who were using internet more than 3 hours a day was 25.7%, and The most popular type of website was entertainment. 2. Male students showed greater percentages of potential risk and high risk group than female students. The students having parents in divorce, remarriage and separation were more likely to be in potential risk group than those having normal parents. The staying alone in home after school and small sleeping time were positively related to high level of internet addiction. 3. The characteristics of the students in potential risk and high risk group were longer duration of the internet use, internet use through the whole week, frequent internet use late at night, frequent use of pornographic site, main purpose of internet use for entertainment and shortage of rest during internet use. This study results had an limitation of generalizing to entire Korean adolescents because the sample of this study was middle and high school students living in Seoul. Future study was needed for the analysis of internet use behavior of the entire Korean adolescents, and for the identification of the accurate predictors for adolescents' internet addiction.

• Korean Journal of Human Ecology
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• v.20 no.2
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• pp.339-351
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• 2011

The purpose of this study was to inquire into how children's internet addiction is affected by home environments, computing environments, parental marital conflicts, parenting attitudes and parental monitoring and control as perceived by children. The study was conducted on 579 sixth graders at elementary schools located in Daejeon City. The data was analyzed by frequency, percentage, $X^2$, one way ANOVA, and scheffe analysis using the SPSS 18.0 version program. The results were as follows: first, out of 579 students, 5.0% were classified as at high-risk for addiction; 22.8% as at potential-risk; 72.2% as normal. Second, in the high-risk group, boys accounted for a higher percentage compared to girl students. Mothers' academic backgrounds and fathers' occupations affected the children's internet addiction. Third, the high-risk group tended to use the internet in internet cafes, to use it before going to elementary school, to use it for at least 4 hours once, and to use it to play games. Fourth, the high-risk group perceived parents marital conflicts as more frequent and more severer, as compared to other groups. Fifth, while the high-risk group perceived parenting attitudes as negative, the normal group perceived them as positive. Sixth, the potential-risk group and the normal group perceived parental monitoring and control as more frequent, as compared to the high-risk group.

• Journal of radiological science and technology
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• v.42 no.5
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• pp.387-392
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• 2019

This study analyzed the influence of smartphone addiction on adaptation to school life by using the questionnaire survey method of 431 students of radiological science in six regions. The results showed that 89.6% of students are the general user group, 6.3% the high risk group and 4.2% the potential risk group. Adaptability to school life was found to be social adaptability 3.71, righteous adaptability 3.17 and academic adaptability 2.95. Academic adaptability was 3.06 for male students and 2.79 for female students. And righteous adaptability was 3.26 for male students and 3.03 for female students. As a result, male students were more adaptable than female students in academic adaptability and righteous adaptability, which was statistically significant. And Social adaptability was 3.73 for female students and 3.68 for male students, but there was no significant difference(p<.001). Adaptability to school life by smartphone addiction level was found to be the general user group 3.19, the potential risk group 3.05 and the high risk group 2.81. The difference of righteous adaptability between the general user group and the high risk group was statistically significant. And social and academic adaptability of the general user group and the high risk group was no significant(p<.01).

• Journal of Families and Better Life
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• v.25 no.2 s.86
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• pp.47-58
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• 2007

The purpose of this study is to examine children's/adolescents' motives for playing internet games and adaptation to school in accordance with their frequency levels of playing internet games. Participants were 236 children from grades 4, 5, and 6 in two elementary schools and 237 adolescents from grades 1, 2, and 3 in one middle school. They were measured on frequency levels of playing internet games, motives for playing internet games, and adaptation to school. Collected data were analyzed by SPSS WIN 12.0 for reliability, frequency, Chi-square test, t-test, Pearson's correlation, and one way ANOVA. Major findings of the research are as follows: First, children's/adolescents' frequency levels of playing internet games differed by their gender. The male ratio was much higher than the female ratio in the potential risk group and the high risk poop. In contrast, no grade differences on the frequency levels of playing internet games were found. Second, children's/adolescents' motives for playing internet games differed by their gender. Especially, among the motives the greatest difference between male and female was marked for 'Social Relationship'. Third, children's/adolescents' motives for playing internet games differed by their frequency levels of playing internet games. For 'Conformity,' the low risk group differed from the high risk group. For 'Spending Time', 'Benefit', 'Competition', and 'Social Relationship', the low risk group differed from the potential risk group and also from the high risk poop. Fourth, children's/adolescents' adaptation to school differed by their frequency levels of playing internet games. The high risk group exhibited a low level of adaptation in 'Academic Activities', 'a subcategory of adaptation to school.

• Asian Spine Journal
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• v.12 no.6
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• pp.992-997
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• 2018

Study Design: Feasibility study. Purpose: To evaluate the feasibility of using serum pentosidine level as a potential marker for osteoporotic vertebral compression fracture (OVCF). Overview of Literature: A review of previous studies suggests a negative correlation between serum pentosidine concentration and bone strength. However, it is unclear whether serum pentosidine level might be a potential marker of OVCF in Koreans. Methods: Forty patients who underwent bone mineral density examination were included in this study, and their serum pentosidine levels were prospectively analyzed. Serum pentosidine level was evaluated using enzyme-linked immunosorbent assay. Among all the patients, 11 with OVCF were assigned to the vertebral fracture group and 29 who did not have vertebral fracture were included in the non-fracture group. In addition, we used the Fracture Risk Assessment (FRAX) tool Korean version for assessing the 10-year probability of fracture. Results: There was a statistically significant difference in the mean serum pentosidine level (p=0.04) of the vertebral fracture group (110.8 ng/mL) and the non-fracture group (64.3 ng/mL). Logistic regression analyses showed that serum pentosidine was significantly associated with OVCF. The vertebral fracture group had significantly higher 10-year probability of major osteoporotic fracture as per FRAX than the non-fracture group. There was a positive correlation between pentosidine level and FRAX results (r=0.35, p=0.02). Conclusions: These results suggest that increased serum pentosidine level could be a potential marker for OVCF.

• Journal of Korean Academy of Nursing
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• v.32 no.6
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• pp.775-783
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• 2002

The purpose of this study was to provide basic data on preventive child abuse program development. Method: Data were collected on 105 high-risk families of child abuse intervention was obtained from their main child rearer who raised the child under 18 years, olds during 10 months period from May, 2000 to March 2001. Result: The results were as follows : 1. Child abuse occurred in the subject's home, in the case of mild child abuse, 'throwing an object at the child' had the highest percentage 39.1%, in severe child abuse, 'rod, stick, belt, broom beating or using a variety of objects such as' had the highest percentage 49.5%, and in very severe child abuse, 'hospitalized by belting' had the highest percentage 3.8% 2. The degree of child abuse potential showed high risk child abuse score with a mean of 213.3. The degree of beliefs in corporal punishment showed that subjects perceived corporal punishment of children positively with a mean of 32.2,. 3. With respect to the child abuse potential, there were significant correlations with the subjects' age (r=.294, p=.002), education level (r=-.442, p=.000), and family income (r=-.355, p=.000). Conclusion: From this study not only child abuse occurrence but also child abuse potential were severely increased in poor livelihood families. Therefore to the high risk group, individual preventive approach must be applied.

• Journal of Korean Neurosurgical Society
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• v.67 no.1
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• pp.60-72
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• 2024

Objective : Recently, robotic-assisted spine surgery (RASS) has been considered a minimally invasive and relatively accurate method. In total, 495 robotic-assisted pedicle screw fixation (RAPSF) procedures were attempted on 100 patients during a 14-month period. The current study aimed to analyze the accuracy, potential risk factors, and learning curve of RAPSF. Methods : This retrospective study evaluated the position of RAPSF using the Gertzbein and Robbins scale (GRS). The accuracy was analyzed using the ratio of the clinically acceptable group (GRS grades A and B), the dissatisfying group (GRS grades C, D, and E), and the Surgical Evaluation Assistant program. The RAPSF was divided into the no-breached group (GRS grade A) and breached group (GRS grades B, C, D, and E), and the potential risk factors of RAPSF were evaluated. The learning curve was analyzed by changes in robot-used time per screw and the occurrence tendency of breached and failed screws according to case accumulation. Results : The clinically acceptable group in RAPSF was 98.12%. In the analysis using the Surgical Evaluation Assistant program, the tip offset was 2.37±1.89 mm, the tail offset was 3.09±1.90 mm, and the angular offset was 3.72°±2.72°. In the analysis of potential risk factors, the difference in screw fixation level (p=0.009) and segmental distance between the tracker and the instrumented level (p=0.001) between the no-breached and breached group were statistically significant, but not for the other factors. The mean difference between the no-breach and breach groups was statistically significant in terms of pedicle width (p<0.001) and tail offset (p=0.042). In the learning curve analysis, the occurrence of breached and failed screws and the robot-used time per screw screws showed a significant decreasing trend. Conclusion : In the current study, RAPSF was highly accurate and the specific potential risk factors were not identified. However, pedicle width was presumed to be related to breached screw. Meanwhile, the robot-used time per screw and the incidence of breached and failed screws decreased with the learning curve.