Factors Predictive for Incidence and Remission of Internet Addiction in Young Adolescents: A Prospective Study
By Chih-Hung Ko, Ju-Yu Yen, Cheng-Fang Yen, Huang-chi Lin, Ming-Jen Yang. Cyberpsychology, Behavior, and Social Networking, 2007
424 citations recorded by the source corpus.
Subfields: Education, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/3d1dcae7a82df3296150c25cbe449cf1156ad821
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Jeroen S. Lemmens
- Daniel Shuen Sheng Fung
- Chih-Hung Ko
- D. A. Gentile
- HyoungJee Kim
- Ju-Yu Yen
- Jung-Yoon Yum
- Ellen J. Helsper
In Sociology and Political Science
- Mark D. Griffiths
- Jeroen S. Lemmens
- David Šmahel
- Daniel Shuen Sheng Fung
- Vasileios Stavropoulos
- Chih-Hung Ko
- D. A. Gentile
- HyoungJee Kim
Citations in the corpus
- Factors Influencing Internet Addiction in a Sample of Freshmen University Students in China (2009, neutral): “17 Comorbidity of psychiatric symptoms such as depression, anxiety, and adult attention deficit hyperactivity disorder (ADHD) with Internet addiction has been demonstrated among adolescents and college students.”
- What type of content are smartphone users addicted to?: SNS vs. games (2016, background): “Previous research has shown that internet addiction is predicted by sensation seeking (Ko et al., 2007; Lin & Tsai, 2002; Velezmoro et al., 2010; Yang & Zhou, 2005) and loneliness (AmichaiHamburger et al.”
- Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). (2015, background): “In contrast, the literature has consistently showed that excessive time spent in terms of (computer) Internet use is an important risk factor or sign of Internet addiction (Ko et al., 2007) and that there is moderate correlation between the addiction score and the time spent on online-gaming (Smahel”
- An international consensus for assessing internet gaming disorder using the new DSM-5 approach. (2014, background): “with respect to prevalence rates, etiologies, characteristics of individuals participating in them and risks for harm [13,27,28].”
- Fear of Missing Out and Procrastination as Mediators Between Sensation Seeking and Adolescent Smartphone Addiction (2019, background): “Recent research has shown that sensation seeking was a critical predictor of adolescent Internet addiction (Ko et al. 2007; Velezmoro et al. 2010; Dalbudak et al. 2015; Li et al. 2016).”
- The Relationship Between Online Game Addiction and Aggression, Self-Control and Narcissistic Personality Traits (2008, background): “[16] reported that online gaming provides a feeling of control, synchronous interaction with others, and the freedom of self-representation for adolescent.”
- Internet Addiction among Greek Adolescent Students (2008, positive): “We applied Young’s Diagnostic Questionnaire (YDQ), translated into Greek, because it was utilized in other epidemiological studies in other countries, 4,8 enabling us to compare the study results among populations with different social and cultural characteristics.”
- The association between Internet addiction and psychiatric disorder: A review of the literature (2012, background): “Then, after one year of follow-up, hostility could predict the persistence of Internet addiction [26].”
- Epidemiology of Internet Behaviors and Addiction Among Adolescents in Six Asian Countries (2014, neutral): “71 Childhood behavioral problems are mostly associated with Internet addiction in adolescents.”
- Excessive internet use by young Europeans: psychological vulnerability and digital literacy? (2020, background): “This paper puts previously found associations between emotional problems and EIU (Cheng & Peng, 2008; Ko et al., 2007) into context.”
- Internet use and Problematic Internet Use: a systematic review of longitudinal research trends in adolescence and emergent adulthood (2017, background): “, 2015), low family functioning (Ko et al., 2007), lower parental education and divorced or less positively related parental couples, were found to be related to higher PIU (Willoughby, 2008).”