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Impact of Medical Marijuana Laws on State-Level Marijuana Use by Age and Gender, 2004–2013

Overview of attention for article published in Prevention Science, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 1,107)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
6 news outlets
blogs
2 blogs
twitter
13 X users
facebook
3 Facebook pages

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
85 Mendeley
Title
Impact of Medical Marijuana Laws on State-Level Marijuana Use by Age and Gender, 2004–2013
Published in
Prevention Science, November 2017
DOI 10.1007/s11121-017-0848-3
Pubmed ID
Authors

Christine M. Mauro, Paul Newswanger, Julian Santaella-Tenorio, Pia M. Mauro, Hannah Carliner, Silvia S. Martins

Abstract

In states that have passed medical marijuana laws (MMLs), marijuana use (MU) increased after MML enactment among people ages 26 and older, but not among ages 12-25. We examined whether the age-specific impact of MMLs on MU varied by gender. Data were obtained from the 2004-2013 restricted-use National Survey on Drug Use and Health, aggregated at the state level. The exposure was a time-varying indicator of state-level MML (0 = No Law, 1 = Before Law, 2 = After Law). Outcomes included past-month MU prevalence, daily MU prevalence among past-year users (i.e., 300+ days/year), and past-year marijuana use disorder (MUD) prevalence. Linear models tested the state-level MML effect on outcomes by age (12-17, 18-25, 26+) and gender. Models included a state-level random intercept and controlled for time- and state-level covariates. Past-month MU did not increase after enactment of MML in men or women ages 12-25. Among people 26+, past-month MU increased for men from 7.0% before to 8.7% after enactment (+ 1.7%, p < 0.001) and for women from 3.1% before to 4.3% after enactment (+ 1.1%, p = 0.013). Among users 26+, daily MU also increased after enactment in both genders (men 16.3 to 19.1%, + 2.8%, p = 0.014; women 9.2 to 12.7%, + 3.4%, p = 0.003). There were no statistically significant increases in past-year MUD prevalence for any age or gender group after MML enactment. Given the statistically significant increase in daily use among past-year users aged 26+ following enactment, education campaigns should focus on informing the public of the risks associated with regular marijuana use.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Student > Master 10 12%
Researcher 7 8%
Student > Bachelor 6 7%
Professor > Associate Professor 5 6%
Other 14 16%
Unknown 32 38%
Readers by discipline Count As %
Medicine and Dentistry 12 14%
Nursing and Health Professions 9 11%
Social Sciences 7 8%
Psychology 6 7%
Neuroscience 5 6%
Other 6 7%
Unknown 40 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 12 September 2018.
All research outputs
#670,202
of 24,541,341 outputs
Outputs from Prevention Science
#37
of 1,107 outputs
Outputs of similar age
#14,555
of 335,536 outputs
Outputs of similar age from Prevention Science
#2
of 11 outputs
Altmetric has tracked 24,541,341 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,107 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 96% 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 335,536 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 11 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 90% of its contemporaries.