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Demir, Fatima Betül; Öteles, Ülkü Ulukaya; Koçoglu, Erol – Educational Research and Reviews, 2023
The concepts of digital obesity and digital literacy, which are interconnected in influencing human beings, can find their place in all areas of life with the virtualized life industry in the globalizing world. Having these competencies, awareness can be explained by the orientation process between these concepts and the individual. In this…
Descriptors: Addictive Behavior, Digital Literacy, Foreign Countries, Predictor Variables
Özge Pinarcik Sakaryali; Nur Banu Yigit – International Journal of Modern Education Studies, 2024
This study explores the relationship between social media addiction, mental wellbeing, and emotional states among Early Childhood Education (ECE) candidates. Utilizing a sample of 330 ECE students from Düzce University and Alanya Alaaddin Keykubat University, the research employed the Social Media Addiction Scale-Adult Form, Positive and Negative…
Descriptors: Foreign Countries, Social Media, Addictive Behavior, Mental Health
Seyma Türen; Pinar Bagçeli Kahraman – Education and Information Technologies, 2025
The increasing prevalence of digital technologies has notably expanded children's accessibility to a diverse range of digital tools day by day. Consequently, this evolution has significantly influenced the gaming landscape, propelling the surge in popularity of digital games among children. This change has also led to the need for changes in the…
Descriptors: Predictor Variables, Preschool Children, Video Games, Computer Games
Topal, Temel – Educational Research and Reviews, 2021
The aim of this study is to investigate the internet addiction levels of high school students using various variables. The research consists of a total of 962 students (452 girls and 410 boys) studying at different high schools in Giresun in the fall semester of the 2019 to 2020 academic year. The research data were obtained using the general…
Descriptors: High School Students, Internet, Addictive Behavior, Predictor Variables
Watson, Joshua C.; Prosek, Elizabeth A.; Giordano, Amanda L. – Journal of Psychoeducational Assessment, 2022
This study aimed to explore the effects of mattering, social media addiction, online activity, school connectedness, age, and gender on anxiety/depressive symptomatology among U.S. adolescents. A nationally representative Qualtrics panel sample consisting of 441 adolescents (M[subscript age] = 17.3; SD[subscript age] = 1.67) participated in this…
Descriptors: Adolescents, Stress Variables, Age Differences, Gender Differences
Seo, Mijung; Choi, Eunsil – School Psychology International, 2018
The aim of this study was to identify the classes of trajectory in mobile phone dependency using growth mixture modeling among Korean early adolescents from elementary school to the middle school transition. The effects of negative parenting on determining the classes were also examined. The participants were 2,378 early adolescents in the Korean…
Descriptors: Telecommunications, Handheld Devices, Child Rearing, Addictive Behavior
Lapshina, Natalia; Stewart, Shannon L. – Journal of Intellectual & Developmental Disability, 2019
Background: This study examined predictors of service complexity in children with comorbid intellectual developmental disorder (IDD) and mental health concerns. We examined whether patient type, safety risk, exposure to trauma, and family dysfunction were related to service complexity. Method: The study had a cross-sectional design, wherein…
Descriptors: Intellectual Disability, Mental Disorders, Hospitals, Clinics
Gezgin, Deniz Mertkan – Cypriot Journal of Educational Sciences, 2018
The aim of this study is to examine the relationship among smartphone addiction, fear of missing out (FoMO), excessive use of social networking sites (SNSs) on smartphones and sleep duration among high school students. The study group consists of 161 high school students from two state high schools in Turkey. Pearson correlation coefficient and…
Descriptors: Addictive Behavior, Handheld Devices, Correlation, Age Differences
Defoe, Ivy N.; Semon Dubas, Judith; Somerville, Leah H.; Lugtig, Peter; van Aken, Marcel A. G. – Developmental Psychology, 2016
Adolescence is a vulnerable period for the initiation and peak of many harmful risk-taking behaviors such as smoking, which is among the most addictive and deadliest behaviors. Generic metatheories like the theory of triadic influence (TTI) suggest that interrelated risk factors across multiple domains (i.e., intrapersonal and…
Descriptors: Adolescents, Smoking, At Risk Persons, Addictive Behavior
Konijnenberg, Carolien; Lund, Ingunn Olea; Melinder, Annika – Early Child Development and Care, 2015
It is still under debate whether the reported effects of opioid maintenance therapy (OMT) on child behaviour are a direct effect of prenatal exposure, or whether other factors are involved. This prospective cohort study investigated three models: the teratogenic risk model, the maternal risk model, and a combined risk model in a group of 35…
Descriptors: Child Behavior, Prenatal Influences, Drug Abuse, At Risk Persons
Cam, Emre; Isbulan, Onur – Turkish Online Journal of Educational Technology - TOJET, 2012
With the transition to being a knowledge-based society, the internet usage has become an irreplaceable part of life. As socials networks have come into our lives, the internet usage has taken a different dimension. People can affiliate to social networks in order to make friends, exchange information, find partners, and to play games. The process…
Descriptors: Addictive Behavior, Social Networks, Gender Differences, Social Class