Gender Differences in Internet Addiction Associated with Psychological Health Indicators Among Adolescents Using a National Web-based Survey
By Yeong-Mi Ha, W. Hwang. International Journal of Mental Health and Addiction, 2014
186 citations recorded by the source corpus.
Subfields: Education, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/63ddd87ff63842abe34dc8755386b043e5acc00b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- F. Moafian
- Mark D. Griffiths
- HyoungJee Kim
- Jung-Yoon Yum
- Se‐Hoon Jeong
- Yoori Hwang
- Scott E. Caplan
- Laura Widyanto
In Sociology and Political Science
- Karen McKenzie
- Mark D. Griffiths
- HyoungJee Kim
- Jung-Yoon Yum
- Varoth Chotpitayasunondh
- Se‐Hoon Jeong
- Yoori Hwang
- Daria J. Kuss
Citations in the corpus
- Clinical psychology of Internet addiction: a review of its conceptualization, prevalence, neuronal processes, and implications for treatment (2015, unknown): “Regarding the differences in prevalence rates of IA among males and females, almost half of the studies found a higher prevalence among males, 22,71,73,74,76 while only one study found higher rates in females.”
- What type of content are smartphone users addicted to?: SNS vs. games (2016, background): “Research has found that addiction to media could increase depressive symptoms and substance use as well as decrease well-being (Ha & Hwang, 2014; Yoo, Cho, & Cha, 2014).”
- Internet Addiction and its Psychosocial Risks (Depression, Anxiety, Stress and Loneliness) among Iranian Adolescents and Young Adults: A Structural Equation Model in a Cross-Sectional Study (2016, background): “However, several studies have reported that gender does not predict IA (Ha and Hwang 2014; Smahel et al. 2012; Yadav et al. 2013).”
- How "phubbing" becomes the norm: The antecedents and consequences of snubbing via smartphone (2016, background): “Gender has been found to play a crucial role in influencingmany smartphone-associated behaviors such as preference for online activities (Ha & Hwang, 2014), mobile phone addiction (Baron & Campbell, 2012; Geser, 2006), internet addiction (Geser, 2006; Jang & Ji, 2012), self-control (Nakhaie,…”