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To Study, to Party, or Both? Assessing Risk Factors for Non-Prescribed Stimulant Use among Middle and High School Students

Overview of attention for article published in Journal of Psychoactive Drugs, December 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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5 news outlets
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8 X users

Citations

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18 Dimensions

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86 Mendeley
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Title
To Study, to Party, or Both? Assessing Risk Factors for Non-Prescribed Stimulant Use among Middle and High School Students
Published in
Journal of Psychoactive Drugs, December 2016
DOI 10.1080/02791072.2016.1260187
Pubmed ID
Authors

Kenneth S. León, Daniel E. Martínez

Abstract

This study examines the risk factors predicting non-prescribed stimulant use (NPSU) among adolescents, with an emphasis on whether such factors are reflective of instrumental (e.g., studying) and/or recreational (e.g., partying) drug consumption settings. Using data from Monitoring the Future (2011), we employed a series of logistic regression models to establish predictors of 12-month self-reported Adderall or Ritalin use without a doctor's note among eighth and tenth graders. Whereas studies of college students have found NPSU to correlate with instrumental motives and productivity-related demands, we find no association between NPSU and indicators of academic strain for this younger sample. Rather, we find that the age of onset and current use of alcohol, tobacco, and marijuana are most predictive of NPSU, which are substances generally associated with social and recreational consumption settings. These findings have potential implications for practitioners concerned with mitigating the harms of general prescription drug misuse, as intervention efforts informed by research conducted among college students may not readily apply to younger populations. Drawing from central tenets of developmental and life course criminology, we call for continued inquiry into the broader socialization and developmental processes that influence NPSU and other prescription drug use patterns prior to early adulthood.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 14%
Student > Master 9 10%
Student > Doctoral Student 8 9%
Researcher 7 8%
Student > Ph. D. Student 6 7%
Other 16 19%
Unknown 28 33%
Readers by discipline Count As %
Psychology 18 21%
Medicine and Dentistry 11 13%
Social Sciences 6 7%
Biochemistry, Genetics and Molecular Biology 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 11 13%
Unknown 32 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2017.
All research outputs
#918,661
of 25,374,917 outputs
Outputs from Journal of Psychoactive Drugs
#79
of 1,068 outputs
Outputs of similar age
#18,654
of 416,426 outputs
Outputs of similar age from Journal of Psychoactive Drugs
#1
of 13 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,068 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 416,426 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.