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Yun Mi Shin
Researcher at Ajou University
Publications - 57
Citations - 878
Yun Mi Shin is an academic researcher from Ajou University. The author has contributed to research in topics: Mental health & Child Behavior Checklist. The author has an hindex of 14, co-authored 57 publications receiving 671 citations.
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Journal ArticleDOI
Psychological Factors Associated With Smartphone Addiction in South Korean Adolescents
Jeewon Lee,Minje Sung,Sook-Hyung Song,Young Moon Lee,Je Jung Lee,Sun-Mi Cho,Mi-Kyung Park,Yun Mi Shin +7 more
TL;DR: In this article, the prevalence of young adolescents in risk of smartphone addiction and the psychological factors associated with smartphone addiction was examined and found that one hundred twenty-eight (26.61%) adolescents were in high risk of addiction.
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Electronic Media Exposure and Use among Toddlers
TL;DR: Research has shown that TV and smartphones are the most popular digital devices used by toddlers, and most toddlers began using smart devices at 12–24 months.
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Does Psychopathology in Childhood Predict Internet Addiction in Male Adolescents
TL;DR: The results suggest that withdrawal and anxiety/Depression during childhood should be considered in the etiology of problematic Internet use in boys and clinicians should consider anxiety/depression and withdrawal during childhood to prevent Internet addiction.
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Childhood predictors of deliberate self-harm behavior and suicide ideation in korean adolescents: a prospective population-based follow-up study.
TL;DR: A logistic regression analysis showed that the factors of gender, economic status, the overall amount of behavior problems, the tendency to internalizing and externalizing problems, somatic problems, thought problems, delinquent behavior, and aggressive behavior were independent predictors of adolescent suicide ideation and self-harm behavior.
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Psychosocial risk factors associated with internet addiction in Korea.
TL;DR: Examining the prevalence of Internet addiction in middle school students and to identify associated psychosocial risk factors and depression showed similar to other researches about sociodemographic, emotional or behavioral factors related to internet addiction.