Sezen Seyrek1, Esra Cop2, Hayati Sinir2, Mehmet Ugurlu1, Saliha Şenel3,4. 1. Department of Family Medicine, Yildirim Beyazit University, Ankara, Turkey. 2. Department of Child and Adolescent Psychiatry, Dr Sami Ulus Maternity and Children's Health and Diseases Training and Research Hospital, Ankara, Turkey. 3. Department of Pediatrics, Yildirim Beyazit University, School of Medicine, Ankara, Turkey. 4. Department of Pediatrics, Dr Sami Ulus Maternity and Children's Health and Diseases Training and Research Hospital, Ankara, Turkey.
Abstract
BACKGROUND: The aim of this study was to investigate the prevalence of Internet addiction (IA), and the relationship between sociodemographic characteristics, depression, anxiety, attention-deficit-hyperactivity disorder (ADHD) symptoms and IA in adolescents. METHODS: This was a cross-sectional school-based study with a representative sample of 468 students aged 12-17 years at the first trimester of the 2013-2014 academic year. The students were assessed using Young's Internet Addiction Scale, Children's Depression Inventory, Beck Anxiety Inventory, Conners' Parent Rating Scale, Conners' Teacher Rating Scale, Hollingshead-Redlich Scale, and the information form including characteristics of Internet use and socioeconomic status (SES). The relationship between these factors and Internet use was examined. RESULTS: Approximately 1.6% of students were identified as having IA, whereas 16.2% had possible IA. There were significant correlations between IA and depression, anxiety, attention disorder and hyperactivity symptoms in adolescents. Smoking was also related to IA. There was no significant relationship between IA and age, sex, body mass index, school type, and SES. CONCLUSIONS: Depression, anxiety, ADHD and smoking addiction are associated with PIU in adolescent students. Preventive public health policies targeting the psychological wellbeing of young people are needed.
BACKGROUND: The aim of this study was to investigate the prevalence of Internet addiction (IA), and the relationship between sociodemographic characteristics, depression, anxiety, attention-deficit-hyperactivity disorder (ADHD) symptoms and IA in adolescents. METHODS: This was a cross-sectional school-based study with a representative sample of 468 students aged 12-17 years at the first trimester of the 2013-2014 academic year. The students were assessed using Young's Internet Addiction Scale, Children's Depression Inventory, Beck Anxiety Inventory, Conners' Parent Rating Scale, Conners' Teacher Rating Scale, Hollingshead-Redlich Scale, and the information form including characteristics of Internet use and socioeconomic status (SES). The relationship between these factors and Internet use was examined. RESULTS: Approximately 1.6% of students were identified as having IA, whereas 16.2% had possible IA. There were significant correlations between IA and depression, anxiety, attention disorder and hyperactivity symptoms in adolescents. Smoking was also related to IA. There was no significant relationship between IA and age, sex, body mass index, school type, and SES. CONCLUSIONS:Depression, anxiety, ADHD and smoking addiction are associated with PIU in adolescent students. Preventive public health policies targeting the psychological wellbeing of young people are needed.
Authors: Anita Restrepo; Tohar Scheininger; Jon Clucas; Lindsay Alexander; Giovanni A Salum; Kathy Georgiades; Diana Paksarian; Kathleen R Merikangas; Michael P Milham Journal: BMC Psychiatry Date: 2020-05-27 Impact factor: 3.630