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Attention Score in Context
| Title |
Effects of minimum legal drinking age on alcohol and marijuana use: evidence from toxicological testing data for fatally injured drivers aged 16 to 25 years
|
|---|---|
| Published in |
Injury Epidemiology, January 2015
|
| DOI | 10.1186/s40621-014-0032-1 |
| Pubmed ID | |
| Authors |
Katherine M Keyes, Joanne E Brady, Guohua Li |
| Abstract |
Alcohol and marijuana are among the most commonly used drugs by adolescents and young adults. The question of whether these two drugs are substitutes or complements has important implications for public policy and prevention strategies, especially as laws regarding the use of marijuana are rapidly changing. Data were drawn from fatally injured drivers aged 16 to 25 who died within 1 h of the crash in nine states with high rates of toxicology testing based from 1999 to 2011 on the Fatality Analysis Reporting System (N = 7,191). Drug tests were performed using chromatography and radioimmunoassay techniques based on blood and/or urine specimens. Relative risk regression and Joinpoint permutation analysis were used. Overall, 50.5% of the drivers studied tested positive for alcohol or marijuana. Univariable relative risk modeling revealed that reaching the minimum legal drinking age was associated with a 14% increased risk of alcohol use (RR = 1.14, 95% CI: 1.02 to 1.28), a 24% decreased risk of marijuana use (RR = 0.76, 95% CI: 0.53 to 1.10), and a 22% increased risk of alcohol plus marijuana use (RR=1.22, 95% CI: 0.90 to 1.66). Joinpoint permutation analysis indicated that the prevalence of alcohol use by age is best described by two slopes, with a change at age 21. There was limited evidence for a change at age 21 for marijuana use. These results suggest that among adolescents and young adults, increases in alcohol availability after reaching the MLDA have marginal effect on marijuana use. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 21% |
| Student > Master | 12 | 19% |
| Student > Postgraduate | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 4 | 6% |
| Other | 10 | 16% |
| Unknown | 15 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 16% |
| Social Sciences | 9 | 14% |
| Nursing and Health Professions | 6 | 10% |
| Psychology | 5 | 8% |
| Mathematics | 2 | 3% |
| Other | 10 | 16% |
| Unknown | 21 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 August 2015.
All research outputs
#20,674,650
of 25,396,120 outputs
Outputs from Injury Epidemiology
#370
of 406 outputs
Outputs of similar age
#267,335
of 359,802 outputs
Outputs of similar age from Injury Epidemiology
#5
of 5 outputs
Altmetric has tracked 25,396,120 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 359,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.