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Long‐term effects of lowering the alcohol minimum purchasing age on traffic crash injury rates in New Zealand

Overview of attention for article published in Drug & Alcohol Review, February 2016
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Article details
Title
Long‐term effects of lowering the alcohol minimum purchasing age on traffic crash injury rates in New Zealand
Published in
Drug & Alcohol Review, February 2016
DOI 10.1111/dar.12378
Pubmed ID
Authors
Abstract

In December 1999, New Zealand lowered the alcohol minimum purchasing age from 20 to 18 years. We tested hypotheses that this change was associated with long-term increases in traffic injury attributable to alcohol-impaired driving among 18- to 19-year-olds (target age group) and 15- to 17-year-olds (affected by 'trickle-down'). We undertook a controlled before-and-after comparison of rates of fatal and non-fatal traffic injury to persons of any age attributable to impaired drivers aged 18-19 years and 15-17 years, versus 20- to 21-year-olds. Crash data including assessment of driver alcohol impairment were recorded by New Zealand Police. The pre-change period was 1996-1999. Post-change periods were 2000-2003, 2004-2007 and 2008-2010. Outcomes were population-based and vehicle travel-based rates. Compared with the change in injury rates attributable to alcohol-impaired 20- to 21-year-old male drivers, injuries attributable to 18- to 19-year-old male drivers increased in all post-change periods and significantly so in the second post-change period (incidence rate ratio [IRR] 1.3, 95% confidence interval [CI] 1.1 to 1.5). For 15- to 17-year-old male drivers, rates increased in all post-change periods compared with 20- to 21-year-olds, and more so in the second (IRR 1.2, 95% CI 1.1 to 1.4) and third (IRR 1.2, 95% CI 1.1 to 1.4) periods. There was a short-term relative increase in harm attributable to 18- to 19-year-old female drivers (IRR 1.5; 1.1 to 2.0). Results were similar for vehicle travel-based rates. Reducing the alcohol minimum purchasing age was followed by long-term increases in the incidence of traffic injury attributable to male 15- to 19-year-old alcohol-impaired drivers. [Kypri K, Davie G, McElduff P, Langley J, Connor J. Long-term effects of lowering the alcohol minimum purchasing age on traffic crash injury rates in New Zealand. Drug Alcohol Rev 2016].

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 19%
Other 3 10%
Student > Master 3 10%
Student > Bachelor 2 6%
Student > Ph. D. Student 2 6%
Other 3 10%
Unknown 12 39%
Readers by discipline
Readers by discipline Count As %
Social Sciences 4 13%
Psychology 3 10%
Medicine and Dentistry 3 10%
Nursing and Health Professions 2 6%
Arts and Humanities 1 3%
Other 2 6%
Unknown 16 52%
Attention Score in Context

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 18 February 2016.
All research outputs
#28,598,653
of 34,358,242 outputs
Outputs from Drug & Alcohol Review
#2,425
of 2,586 outputs
Outputs of similar age
#260,341
of 335,520 outputs
Outputs of similar age from Drug & Alcohol Review
#11
of 13 outputs
Altmetric has tracked 34,358,242 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,586 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 2nd percentile – i.e., 2% 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 335,520 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.