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Direct linkBoden, 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
Peer reviewedRoditis, Maria; Lee, Joann; Halpern-Felsher, Bonnie L. – Health Education & Behavior, 2016
Purpose: Despite evidence that adolescents become addicted to nicotine even after limited use, adolescents believe they can experiment with or smoke cigarettes for a few years and easily quit. The goal of this study was to examine adolescents' understanding of the definition and process of nicotine addiction using a mixed-methods approach. Method:…
Descriptors: Adolescents, Misconceptions, Risk, Smoking
Download full textPagano, Maria E.; Wang, Alexandra R.; Rowles, Brieana M.; Lee, Matthew T.; Johnson, Byron R. – Grantee Submission, 2015
The developmental need to fit in may lead to higher alcohol and other drug use among socially anxious youths which exacerbates the drink/trouble cycle. In treatment, youths with social anxiety disorder (SAD) may avoid participating in therapeutic activities with risk of negative peer appraisal. Peer-helping is a low-intensity, social activity in…
Descriptors: Anxiety, Peer Influence, Adolescents, Addictive Behavior
Stavropoulos, Vasilis; Kuss, Daria; Griffiths, Mark; Motti-Stefanidi, Frosso – Journal of Adolescent Research, 2016
Over the last decade, research on Internet addiction (IA) has increased. However, almost all studies in the area are cross-sectional and do not examine the context in which Internet use takes place. Therefore, a longitudinal study examined the role of conscientiousness (as a personality trait) and classroom hostility (as a contextual factor) in…
Descriptors: Longitudinal Studies, Adolescent Attitudes, Internet, Addictive Behavior
Smahel, David; Brown, B. Bradford; Blinka, Lukas – Developmental Psychology, 2012
The past decades have witnessed a dramatic increase in the number of youths using the Internet, especially for communicating with peers. Online activity can widen and strengthen the social networks of adolescents and emerging adults (Subrahmanyam & Smahel, 2011), but it also increases the risk of Internet addiction. Using a framework derived from…
Descriptors: Internet, Addictive Behavior, Friendship, Adolescents
Sheehan, Brynn E.; Lau-Barraco, Cathy; Linden, Ashley N. – Journal of American College Health, 2013
Objective: The current study examined (1) drinking motives as a mediator of risky drinking behaviors (ie, pregaming and drinking games) and alcohol-related problems and (2) whether gender moderates the association between risky drinking behaviors and negative consequences. Participants: Participants ("N" = 368; 68% female) were drinkers…
Descriptors: Addictive Behavior, Drinking, Student Behavior, Risk
MacKillop, James – Journal of the Experimental Analysis of Behavior, 2013
Delayed reward discounting is a behavioral economic index of impulsivity, referring to how much an individual devalues a reward based on its delay in time. As a behavioral process that varies considerably across individuals, delay discounting has been studied extensively as a model for self-control, both in the general population and in clinical…
Descriptors: Addictive Behavior, Rewards, Self Control, Genetics
Goldstein, Abby L.; Faulkner, Breanne; Cunningham, Rebecca M.; Zimmerman, Marc A.; Chermack, Stephen; Walton, Maureen A. – International Journal of Mental Health and Addiction, 2013
The current study examined the application of resilience theory to adolescent gambling using Latent Class Analysis (LCA) to establish subtypes of adolescent gamblers and to explore risk and promotive factors associated with gambling group membership. Participants were a diverse sample of 249 adolescents ages 14 to 18 (30.1 % female, 59.4 % African…
Descriptors: Adolescents, Addictive Behavior, Resilience (Psychology), Theories
Cole, Tom; Barrett, Douglas J. K.; Griffiths, Mark D. – International Journal of Mental Health and Addiction, 2011
To date, there has been relatively little research on Internet gambling. Furthermore, there have been few studies comparing the behaviour of Internet gamblers versus non-Internet gamblers. Using the game of roulette, this study experimentally examined (a) the differences in gambling behaviour between online and offline gamblers, and (b) the role…
Descriptors: Addictive Behavior, Internet, Comparative Analysis, Differences
James, William H.; Randolph, Dwight E. – Online Submission, 2015
This study investigated the use of the Massachusetts Youth Screening Instrument (MAYSI-2) to screen for co-occurring disorders in an adolescent outpatient treatment program and to provide a preliminary assessment of those needs. The MAYSI-2 identified youth with co-occurring disorders and the results support existing recommendations for distinct…
Descriptors: Qualitative Research, Risk, Screening Tests, Comorbidity
Koh, Hyeseung; Mackert, Michael – Journal of American College Health, 2016
Objective: This study attempted to identify critical predictors of intention to both send and read texts while walking based on Theory of Planned Behavior in order to provide resources for practitioners and campaign designers to inform college students of the perils of texting while walking and dissuade them from such a risky behavior.…
Descriptors: College Students, Social Media, Mass Media Use, Mass Media Effects
Longman-Mills, S.; Gonzalez, W. Y.; Melendez, M. O.; Garcia, M. R.; Gomez, J. D.; Juarez, C. G.; Martinez, E. A.; Penalba, S. J.; Pizzanelli, E. M.; Solorzano, L. I.; Wright, M. G. M.; Cumsille, F.; De La Haye, W.; Sapag, J. C.; Khenti, A.; Hamilton, H. A.; Erickson, P. G.; Brands, B.; Flam-Zalcman, R.; Simpson, S.; Wekerle, C.; Mann, R. E. – Child Abuse & Neglect: The International Journal, 2013
Objectives: Research from developed countries shows that child maltreatment increases the risk for substance use and problems. However, little evidence on this relationship is available from developing countries, and recognition of this relationship may have important implications for substance demand reduction strategies, including efforts to…
Descriptors: Child Abuse, Evidence, Addictive Behavior, Drug Abuse
Van Ryzin, Mark J.; Dishion, Thomas J. – Journal of Child Psychology and Psychiatry, 2014
Background: Early substance use co-occurs with youths' self-organization into deviant peer groups in which substance use is central to social interaction. We hypothesized that the social dynamics of deviant peer groups amplify the risk of progressing from early use to later dependence, and that this influence occurs over and above escalations…
Descriptors: Substance Abuse, Smoking, Drinking, Marijuana
Matthies, Swantje; Holzner, Sebastian; Feige, Bernd; Scheel, Corinna; Perlov, Evgeniy; Ebert, Dieter; van Elst, Ludger Tebartz; Philipsen, Alexandra – Journal of Attention Disorders, 2013
Objective: Tobacco smoking and ADHD frequently co-occur. So far, the bulk of research on the ADHD-smoking comorbidity has been done in children with ADHD and nonclinical adult samples. To assess smoking habits in adults with ADHD, the authors used the Fagerstrom Test for Nicotine Dependence (FTND). Method: In 60 adult outpatients, with an ADHD…
Descriptors: Attention Deficit Hyperactivity Disorder, Risk, Smoking, Addictive Behavior
Burusic, Josip; Sakic, Marija; Koprtla, Natalija – Health Education Journal, 2014
Objective: The aim of this study was to explore parental perceptions of adolescent health behaviours and to examine to what extent parents' perceptions of their children's health behaviours are determined by the family's socio-demographic characteristics. Method: Participants in the study were 605 parents. They completed questionnaires in which…
Descriptors: Parent Attitudes, High School Students, Health Behavior, Eating Habits
