Evidence map›Paper›PMID 25515820›Full record

ArticleAlcoholism, clinical and experimental research2015

Relationship of impaired-driving enforcement intensity to drinking and driving on the roads.

James C Fell, Geetha Waehrer, Robert B Voas, Amy Auld-Owens, Katherine Carr, Karen Pell

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Alcohol-Impaired Driving and Perceived Risks of Legal Consequences.Alcoholism, clinical and experimental research · 2017
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

James C FellPacific Institute for Research & Evaluation, Calverton, Maryland.
Geetha Waehrer
Robert B Voas
Amy Auld-Owens
Katherine Carr
Karen Pell

Funding

Relationship of Impaired Driving Enforcement Intensity to Drinking and DrivingR21AA018761 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI FELL, JAMES C. · 2010 to 2011
$415k
NIAAA NIH HHS R21 AA018761
6 · The paper itself

Abstract

backgroundIt is principally the area of enforcement that offers the greatest opportunity for reducing alcohol-impaired driving in the near future. How much of a reduction in drinking and driving would be achieved by how much improvement in enforcement intensity?

methodsWe developed logistic regression models to explore how enforcement intensity (6 different measures) related to the prevalence of weekend nighttime drivers in the 2007 National Roadside Survey who had been drinking (blood alcohol concentration [BAC] ≥ 0.00 g/dl), who had BACs ≥ 0.05 g/dl, and who were driving with an illegal BAC ≥ 0.08 g/dl.

resultsDrivers on the roads in our sample of 30 communities who were exposed to fewer than 228 traffic stops per 10,000 population aged 18 and older had 2.4 times the odds of being BAC positive, 3.6 times the odds of driving with a BAC ≥ 0.05, and 3.8 times the odds of driving with a BAC ≥ 0.08 compared to those drivers on the roads in communities with more than 1,275 traffic stops per 10,000 population. Drivers on the roads in communities with fewer than 3.7 driving under the influence (DUI) arrests per 10,000 population had 2.7 times the odds of BAC-positive drivers on the roads compared to communities with the highest intensity of DUI arrest activity (>38 DUI arrests per 10,000 population).

conclusionsThe number of traffic stops and DUI arrests per capita were significantly associated with the odds of drinking and driving on the roads in these communities. This might reflect traffic enforcement visibility. The findings in this study may help law enforcement agencies around the country adjust their traffic enforcement intensity to reduce impaired driving in their community.

Indexed as

Law EnforcementAlcohol DrinkingAlcoholic IntoxicationAutomobile DrivingEthanolHumansLogistic ModelsSurveys and QuestionnairesUnited StatesEthanolBlood Alcohol ConcentrationDriving Under the Influence ArrestsEnforcementImpaired DrivingTraffic Stops

Identifiers

PMID25515820
PMCPMC4308536

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.