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Electronic Cigarettes and Future Marijuana Use: A Longitudinal Study

Overview of attention for article published in Pediatrics, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
20 news outlets
blogs
2 blogs
twitter
62 X users
facebook
12 Facebook pages
googleplus
3 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
129 Mendeley
Title
Electronic Cigarettes and Future Marijuana Use: A Longitudinal Study
Published in
Pediatrics, May 2018
DOI 10.1542/peds.2017-3787
Pubmed ID
Authors

Hongying Dai, Delwyn Catley, Kimber P. Richter, Kathy Goggin, Edward F. Ellerbeck

Abstract

Cigarettes have been strongly associated with subsequent marijuana use among adolescents, but electronic cigarettes (e-cigarettes) are now rapidly replacing traditional cigarettes among youth. This study examines associations between youth e-cigarette use and subsequent marijuana use in a national sample. Youth (aged 12-17 years) never marijuana users at wave 1 (n = 10 364; 2013-2014) from the Population Assessment of Tobacco and Health study were followed-up in 1 year (wave 2, 2014-2015). Multivariable logistic regressions were performed to evaluate associations between e-cigarette use at wave 1 and ever/heavy marijuana use in the past 12 months (P12M) and at wave 2. Among never marijuana users, e-cigarette ever use (versus never use) at wave 1 was associated with increased likelihood of marijuana P12M use (adjusted odds ratio [aOR] = 1.9; 95% confidence interval [CI]: 1.4-2.5) at wave 2. There was a significant interaction between e-cigarette use and age (P < .05) with aOR = 2.7 (95% CI: 1.7-4.3) for adolescents aged 12 to 14 and aOR = 1.6 (95% CI: 1.2-2.3) for adolescents aged 15 to 17. The association with heavy marijuana use was significant among younger adolescents (aOR = 2.5; 95% CI: 1.2-5.3) but was not among older adolescents. Heavier e-cigarette use at wave 1 yielded higher odds of P12M and heavy marijuana use at wave 2 for younger adolescents. E-cigarette use predicts subsequent marijuana use among youth, with a stronger associations among young adolescents. Reducing youth access to e-cigarettes may decrease downstream marijuana use.

X Demographics

X Demographics

The data shown below were collected from the profiles of 62 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 16%
Researcher 19 15%
Student > Master 12 9%
Student > Doctoral Student 9 7%
Other 7 5%
Other 21 16%
Unknown 41 32%
Readers by discipline Count As %
Social Sciences 19 15%
Medicine and Dentistry 14 11%
Psychology 10 8%
Nursing and Health Professions 9 7%
Neuroscience 4 3%
Other 19 15%
Unknown 54 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 204. 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 September 2022.
All research outputs
#190,792
of 25,271,884 outputs
Outputs from Pediatrics
#965
of 18,421 outputs
Outputs of similar age
#4,355
of 332,769 outputs
Outputs of similar age from Pediatrics
#29
of 223 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,421 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.6. This one has done particularly well, scoring higher than 94% 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 332,769 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 98% of its contemporaries.
We're also able to compare this research output to 223 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.