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Piotrowski, Chris – College Student Journal, 2014
Prevalence statistics indicate that consumption of Energy drinks (EDs), often in combination with alcohol, is quite popular in the younger generation and particularly with college students. As literature on this topic is advancing at a rapid pace, it seemed instructive to examine which topics are emphasized in emerging EDs research. To that end, a…
Descriptors: Incidence, Stimulants, Drinking, College Students
Johnston, Craig A.; Tyler, Chermaine; Stansberry, Sandra A.; Moreno, Jennette P.; Foreyt, John P. – Journal of Adolescence, 2012
Gum chewing has been shown to improve cognitive performance in adults; however, gum chewing has not been evaluated in children. This study examined the effects of gum chewing on standardized test scores and class grades of eighth grade math students. Math classes were randomized to a gum chewing (GC) condition that provided students with gum…
Descriptors: Grades (Scholastic), Standardized Tests, Academic Achievement, Grade 8
Oser, Carrie; Leukefeld, Carl; Staton-Tindall, Michele; Duvall, Jamieson; Garrity, Thomas; Stoops, William; Falck, Russel; Wang, Jichuan; Carlson, Robert; Sexton, Rocky; Wright, Patricia; Booth, Brenda – Crime & Delinquency, 2011
Despite the increase in media attention on "meth cooking" in rural areas of the United States, little is known about rural stimulant use--particularly, the criminality associated with stimulant use. Data were collected from community stimulant users in rural Ohio, Arkansas, and Kentucky (N = 709). Findings from three logistic regression…
Descriptors: Stimulants, Prevention, Drug Abuse, Rural Areas
James, Jack E.; Kristjansson, Alfgeir Logi; Sigfusdottir, Inga Dora – Journal of Adolescence, 2011
Using academic achievement as the key outcome variable, 7377 Icelandic adolescents were surveyed for cigarette smoking, alcohol use, daytime sleepiness, caffeine use, and potential confounders. Structural equation modeling (SEM) was used to examine direct and indirect effects of measured and latent variables in two models: the first with caffeine…
Descriptors: Evidence, Smoking, Structural Equation Models, Academic Achievement
Brossard-Racine, Marie; Majnemer, Annette; Shevell, Michael; Snider, Laurie; Belanger, Stacey Ageranioti – Research in Developmental Disabilities: A Multidisciplinary Journal, 2011
Preliminary evidence suggests that children with Attention Deficit Hyperactivity Disorder (ADHD) may exhibit handwriting difficulties. However, the exact nature of these difficulties and the extent to which they may relate to motor or behavioural difficulties remains unclear. The aim of this study was to describe handwriting capacity in children…
Descriptors: Evidence, Attention Deficit Hyperactivity Disorder, Handwriting, Motor Development
Miech, Richard A.; Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E. – Institute for Social Research, 2015
Substance use is a leading cause of preventable morbidity and mortality, and it is in large part why people in the U.S. have the highest probability among 17 high-income nations of dying by age 50. Substance use is also an important contributor to many social ills including child and spouse abuse, violence more generally, theft, suicide, and more;…
Descriptors: National Surveys, Drug Use, Incidence, Student Attitudes
Garnier-Dykstra, Laura M.; Caldeira, Kimberly M.; Vincent, Kathryn B.; O'Grady, Kevin E.; Arria, Amelia M. – Journal of American College Health, 2012
Objective: Examine trends in nonmedical use of prescription stimulants (NPS), including motives, routes of administration, sources, cost, and risk factors. Participants: 1,253 college students. Methods: Data were collected annually during academic years 2004-2005 through 2008-2009. Generalized estimating equations analyses evaluated longitudinal…
Descriptors: Academic Achievement, Grade Point Average, Risk, Marijuana
Pindiprolu, Sekhar S. – Journal on Educational Psychology, 2014
Attention Deficit Hyperactivity Disorder (ADHD) is one of the most commonly diagnosed disorders among children today. Stimulants are commonly prescribed to children with ADHD to improve attention span and decrease distractibility, hyperactivity, and impulsivity. Given the increased use of stimulant medication, school personnel need to be aware of…
Descriptors: Attention Deficit Hyperactivity Disorder, Preservice Teachers, College Students, Special Education
Foltz, Robert – Reclaiming Children and Youth, 2012
One would like to believe that advances in science have resulted in improved outcomes for troubled youth. Trends in treatment have changed dramatically in two decades. Technology to understand the brain and its functions are highly advanced. But the United States is now medicating youth more than any other country. There is growing concern about…
Descriptors: Behavior Problems, Drug Therapy, Parent Child Relationship, Behavior Modification
Fasmer, Ole Bernt; Riise, Trond; Eagan, Tomas Mikal; Lund, Anders; Dilsaver, Steven C.; Hundal, Oivind; Oedegaard, Ketil J. – Journal of Attention Disorders, 2011
Objective: To assess how frequently drugs used to treat asthma and ADHD are prescribed to the same patients. Method: The authors used data from the Norwegian Prescription Database for 2006, including the total Norwegian population (n = 4,640,219). Results: Anti-asthma drugs were prescribed to 350,894 persons (7.56 % of the population), anti-ADHD…
Descriptors: Diseases, Patients, Age Differences, Gender Differences
Hammerness, Paul G.; Perrin, James M.; Shelley-Abrahamson, Rachel; Wilens, Timothy E. – Journal of the American Academy of Child & Adolescent Psychiatry, 2011
Objective: This review provides an update on the cardiovascular impact of therapeutic stimulant-class medication for children and adolescents with attention-deficit/hyperactivity disorder (ADHD). Method: Relevant clinical literature was ascertained using PubMed searches limited to human studies and the English language as of May 2011. Current…
Descriptors: Attention Deficit Hyperactivity Disorder, Metabolism, Stimulants, Adolescents
Pettit, Michele L.; DeBarr, Kathy A. – Journal of American College Health, 2011
Objective: This study explored relationships regarding perceived stress, energy drink consumption, and academic performance among college students. Participants: Participants included 136 undergraduates attending a large southern plains university. Methods: Participants completed surveys including items from the Perceived Stress Scale and items to…
Descriptors: Undergraduate Students, Academic Achievement, Gender Differences, Stress Variables
McDaniel, Larry W.; McIntire, Kyle; Streitz, Carmyn; Jackson, Allen; Gaudet, Laura – College Teaching Methods & Styles Journal, 2010
Athletes who use caffeine before exercising or competition may be upgrading themselves more than they realize. Caffeine is classified as a stimulant and is the most commonly used drug in the world. Caffeine has the same affects that amphetamines and cocaine have, just to a lesser degree. Caffeine crosses the membranes of all the body's tissues. It…
Descriptors: Stimulants, Athletics, Athletes, Anatomy
Ramsey, Richard; Cumming, Jennifer; Eastough, Daniel; Edwards, Martin G. – Brain and Cognition, 2010
It has been suggested that representing an action through observation and imagery share neural processes with action execution. In support of this view, motor-priming research has shown that observing an action can influence action initiation. However, there is little motor-priming research showing that imagining an action can modulate action…
Descriptors: Brain, Imagery, Observation, Motion
Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E.; Miech, Richard A. – Institute for Social Research, 2014
This occasional paper presents subgroup findings from the Monitoring the Future (MTF) study on levels of and trends in the use of a number of substances for nationally representative samples of high school graduates ages 19-30. The data have been gathered in a series of follow-up surveys of representative subsamples of high school seniors who were…
Descriptors: Drug Abuse, Incidence, Behavior, Age Differences