Impact of alcohol and alcohol mixed with energy drinks on non-medical prescription stimulant use in a nationally representative sample of 12th-grade students

2016 ◽  
Vol 25 (5) ◽  
pp. 378-384 ◽  
Author(s):  
Jeff M. Housman ◽  
Ronald D. Williams ◽  
Conrad L. Woolsey
Keyword(s):  
Representative Sample ◽  
Energy Drinks ◽  
Medical Prescription ◽  
Stimulant Use ◽  
12Th Grade ◽  
Nationally Representative ◽  
Prescription Stimulant Use

Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study

2019 ◽  
Vol 50 (9) ◽  
pp. 1539-1547 ◽  
Author(s):  
Joshua C. Gray ◽  
Natasha A. Schvey ◽  
Marian Tanofsky-Kraff
Keyword(s):  
Screen Time ◽  
Representative Sample ◽  
Social Problems ◽  
Inductive Reasoning ◽  
Attention Problems ◽  
Cognitive Variables ◽  
Stimulant Use ◽  
Cognitive Correlates ◽  
Nationally Representative ◽  
Matrix Reasoning

AbstractBackgroundPrevious research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to assess their relative associations with body mass index (BMI; kg/m2) in a nationally representative sample of youth.MethodsMultiple machine learning regression approaches were employed to estimate the relative importance of 43 demographic, psychological, behavioral, and cognitive variables previously associated with BMI in youth to elucidate the associations of both fixed (e.g. demographics) and potentially modifiable (e.g. psychological/behavioral) variables with BMI in a diverse representative sample of youth. The primary analyses consisted of 9–10 year olds divided into a training (n = 2724) and test (n = 1123) sets. Secondary analyses were conducted by sex, ethnicity, and race.ResultsThe full sample model captured 12% of the variance in both the training and test sets, suggesting good generalizability. Stimulant medications and demographic factors were most strongly associated with BMI. Lower attention problems and matrix reasoning (i.e. nonverbal abstract problem solving and inductive reasoning) and higher social problems and screen time were robust positive correlates in the primary analyses and in analyses separated by sex.ConclusionsBeyond demographics and stimulant use, this study highlights abstract reasoning as an important cognitive variable and reaffirms social problems and screen time as significant correlates of BMI and as modifiable therapeutic targets. Prospective data are needed to understand the predictive power of these variables for BMI gain.

Non-medical prescription stimulant use: Investigating modifiable risk factors

2014 ◽  
Vol 23 (2) ◽  
pp. 143-147 ◽  
Author(s):  
Alison Looby ◽  
Danielle L. Beyer ◽  
Lauren Zimmerman
Keyword(s):  
Risk Factors ◽  
Modifiable Risk Factors ◽  
Medical Prescription ◽  
Stimulant Use ◽  
Prescription Stimulant Use

Demographic, Psychological, Behavioral, and Cognitive Correlates of BMI in Youth: Findings from the Adolescent Brain Cognitive Development Study

2019 ◽  
Author(s):  
Joshua Gray ◽  
Natasha Schvey ◽  
Marian Tanofsky-Kraff
Keyword(s):  
Screen Time ◽  
Representative Sample ◽  
Social Problems ◽  
Inductive Reasoning ◽  
Attention Problems ◽  
Cognitive Variables ◽  
Stimulant Use ◽  
Cognitive Correlates ◽  
Nationally Representative ◽  
Matrix Reasoning

Background: Previous research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to assess their relative associations with body mass index (BMI; kg/m2) in a nationally representative sample of youth. Methods: Multiple machine learning regression approaches were employed to estimate the relative importance of 43 demographic, psychological, behavioral, and cognitive variables previously associated with BMI in youth to elucidate the associations of both fixed (e.g., demographics) and potentially modifiable (e.g., psychological/behavioral) variables with BMI in a diverse representative sample of youth. The primary analyses consisted of 9-10 year olds divided into a training (n = 2724) and test (n = 1123) sets. Secondary analyses were conducted by sex, ethnicity, and race.Results: The full sample model captured 12% of the variance in both the training and test sets, suggesting good generalizability. Stimulant medications and demographic factors were most strongly associated with BMI. Lower attention problems and matrix reasoning (i.e., nonverbal abstract problem solving and inductive reasoning) and higher social problems and screen time were robust positive correlates in the primary analyses and in analyses separated by sex. Conclusions: Beyond demographics and stimulant use, this study highlights abstract reasoning as an important cognitive variable and reaffirms social problems and screen time as significant correlates of BMI and as modifiable therapeutic targets. Prospective data are needed to understand the predictive power of these variables for BMI gain.

scholarly journals Non-medical prescription stimulant use to improve academic performance among Australian university students: prevalence and correlates of use

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Jayne Lucke ◽  
Charmaine Jensen ◽  
Matthew Dunn ◽  
Gary Chan ◽  
Cynthia Forlini ◽  
...  
Keyword(s):  
Academic Performance ◽  
University Students ◽  
Medical Prescription ◽  
Stimulant Use ◽  
Prescription Stimulant Use

Non-Medical Prescription Stimulant Use in Graduate Students

2016 ◽  
Vol 20 (9) ◽  
pp. 741-753 ◽  
Author(s):  
Genevieve Verdi ◽  
Lisa L. Weyandt ◽  
Brynheld Martinez Zavras
Keyword(s):  
Graduate Students ◽  
Medical Prescription ◽  
Stimulant Use ◽  
Prescription Stimulant Use

Middle-Class Motives for Non-Medical Prescription Stimulant Use among College Students

2015 ◽  
Vol 36 (7) ◽  
pp. 589-603 ◽  
Author(s):  
Kent R. Kerley ◽  
Heith Copes ◽  
O. Hayden Griffin
Keyword(s):  
College Students ◽  
Middle Class ◽  
Medical Prescription ◽  
Stimulant Use ◽  
Prescription Stimulant Use

Burning the candle at both ends: motivations for non-medical prescription stimulant use in the American workplace

2019 ◽  
Vol 26 (4) ◽  
pp. 301-308 ◽  
Author(s):  
Paloma Sales ◽  
Fiona Murphy ◽  
Sheigla Murphy ◽  
Nicholas Lau
Keyword(s):  
Medical Prescription ◽  
Stimulant Use ◽  
Prescription Stimulant Use
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