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Milková, Eva; Kaliba, Martin; Ambrožová, Petra – Journal on Efficiency and Responsibility in Education and Science, 2022
The main purpose of the presented study is to explore the existing risk of Internet addiction for undergraduate students of Czech universities. The research was conducted as quantitative research; a CIAS-R questionnaire was applied. The data were collected in the years just before the Covid-19 pandemic (between October 2019 and March 2020). 3,366…
Descriptors: Internet, Addictive Behavior, Risk, Undergraduate Students
Tomczyk, Lukasz; Szyszka, Michal; Stošic, Lazar – Education Sciences, 2020
Problematic Internet Use (PIU) has of late come to the major attention of researchers of risky behaviours. For parents and teachers in turn, the various pathological forms of Internet use have become more and more noticeable. In recent years, the operationalisation of the term PIU has also been discussed and attempts to measure its various…
Descriptors: Internet, Risk, Behavior Problems, Pathology
Celio, Mark A.; Lisman, Stephen A. – Journal of American College Health, 2014
Objective: To evaluate the efficacy of a stand-alone personalized normative feedback (PNF) intervention targeting misperceptions of gambling among college students. Participants: Undergraduates (N = 136; 55% male) who reported gambling in the past 30 days were recruited between September 2011 and March 2012. Methods: Using a randomized clinical…
Descriptors: Addictive Behavior, Intervention, Feedback (Response), Undergraduate Students
Boden, Joshua M. – ProQuest LLC, 2017
As social technologies become more integrated into students' lives, new means of communication have emerged, along with novel problem behaviors with significant consequences for students' well-being. One of these is the sending of sexualized images via cell phone, referred to as "sexting." An understanding of how and why some students…
Descriptors: Social Media, Mass Media Use, Mass Media Effects, Behavior Problems
Burak, Lydia – International Journal for the Scholarship of Teaching and Learning, 2012
Although research evidence indicates that multitasking results in poorer learning and poorer performance, many students engage with text messaging, Facebook, internet searching, emailing, and instant messaging, while sitting in university classrooms. Research also suggests that multitasking may be related to risk behaviors. This study's purpose…
Descriptors: Behavior Problems, Student Behavior, College Students, Risk
Felsher, Jennifer R.; Derevensky, Jeffrey L.; Gupta, Rina – International Journal of Mental Health and Addiction, 2010
Childhood maltreatment has been thought to be a significant risk factor in the development of gambling problems. Incorporating a developmental psychopathology perspective, 1,324 adolescents and young adults, age 17-22 years completed self-report measures on gambling behaviors, gambling severity, and childhood maltreatment. Problem gamblers…
Descriptors: Child Abuse, Psychopathology, Risk, Young Adults
Zangeneh, Masood; Mann, Robert E.; McCready, John; Oseni, Lola – International Journal of Mental Health and Addiction, 2010
Problem gambling is a growing concern among adolescents today. According to recent studies, rates of problem gambling among youth are higher than those reported by adults. Though few in number, studies have also shown certain ethnic communities to be prone to gambling-related problems and related problematic behaviours. As yet, there is no…
Descriptors: Socialization, Marijuana, Drinking, Ethnic Groups
A Preliminary Investigation into Motivational Factors Associated with Older Adults' Problem Gambling
Clarke, Dave; Clarkson, Joanne – International Journal of Mental Health and Addiction, 2009
Little is known about the relative importance of older problem gamblers' motives for gambling. A questionnaire consisting of demographic items, questions about gambling behavior, the past year Revised South Oaks Gambling Screen (SOGS-R), the General Health Questionnaire (GHQ-12) and the Gambling Motivation Scale (GMS), was completed by a…
Descriptors: Motivation, Measures (Individuals), Predictor Variables, Addictive Behavior

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