| Title |
Relationship between Adolescent Marijuana Use and Young Adult Illicit Drug Use
|
|---|---|
| Published in |
Behavior Genetics, March 2006
|
| DOI | 10.1007/s10519-006-9064-9 |
| Pubmed ID | |
| Authors |
Jeffrey M. Lessem, Christian J. Hopfer, Brett C. Haberstick, David Timberlake, Marissa A. Ehringer, Andrew Smolen, John K. Hewitt |
| Abstract |
: We examined three components of the "gateway theory" in relation to marijuana use: (1) whether adolescent marijuana use predicts young adult drug use, (2) whether this association persists when controlling for similar family background, (3) whether common genetic or environmental factors contribute to the association. The three components were tested in adolescents from the National Longitudinal Study of Adolescent Health assessed twice during adolescence and then re-interviewed 5 years later. Component 1 was tested in 18,286 subjects, component 2 in sibling pairs (n=360) discordant for marijuana use, and component 3 in a genetically informative sub-sample (n=4846). Marijuana use was defined as any use during adolescence, and drug use was defined as self-reported past year use of other illicit drugs besides marijuana. Marijuana users were twice as likely to use illicit drugs as young adults than non-users. Shared environmental factors mediated much of the relationship between adolescent marijuana use and young adult drug use. The association remained, however, even when controlling for familial environmental and other measured factors. |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Student > Doctoral Student | 11 | 16% |
| Researcher | 9 | 13% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 6 | 9% |
| Other | 11 | 16% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 24% |
| Social Sciences | 10 | 15% |
| Medicine and Dentistry | 8 | 12% |
| Agricultural and Biological Sciences | 4 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Other | 13 | 19% |
| Unknown | 14 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 November 2016.
All research outputs
#6,722,819
of 23,700,294 outputs
Outputs from Behavior Genetics
#328
of 928 outputs
Outputs of similar age
#21,134
of 67,503 outputs
Outputs of similar age from Behavior Genetics
#6
of 12 outputs
Altmetric has tracked 23,700,294 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 928 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 63% of its peers.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.