ArticleAlcoholism, clinical and experimental research2017
Alcohol-Impaired Driving and Perceived Risks of Legal Consequences.
Article in Alcoholism, clinical and experimental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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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.
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Who cites it
4 citing papers in PubMed.
- The correlation between sanction adjustments and drunk-driving violations and related outcomes in Taiwan: A nationwide interrupted time series analysis.Addiction (Abingdon, England) · 2026Article
- Decision strategies while intoxicated relate to alcohol-impaired driving attitudes and intentions.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022Article
- Mortality-Risk Prediction Model from Road-Traffic Injury in Drunk Drivers: Machine Learning Approach.International journal of environmental research and public health · 2021Article
- Drug use and driving behaviors among drivers with and without alcohol-related infractions.Trends in psychiatry and psychotherapyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundDriving while impaired (DWI) is a threat to public health. Codified legal sanctions are a widely implemented strategy to reduce DWI. However, it is unclear that sanctioning affects individual risk perceptions so as to deter alcohol-impaired driving.
methodsUsing survey data collected from individual drivers, police, and defense attorneys specializing in DWI in 8 U.S. cities, we investigated whether risk perceptions about legal consequences for alcohol-impaired driving, both the risk of being stopped if driving while alcohol-impaired and receiving specific penalties following a DWI, deter alcohol-impaired driving. First, we analyzed how different drivers' risk perceptions about being pulled over and facing criminal sanctions related to their self-reported alcohol-impaired driving in the year following the interview at which risk perceptions were elicited. Second, using data from an experimental module in which individual's risk perceptions were randomly updated by the interview, we analyzed how each driver's beliefs about his or her own future alcohol-impaired driving responded to randomly generated increases in the apprehension probability and sanction magnitude.
resultsHigher probabilities as estimated by the individuals of being pulled over corresponded to less alcohol-impaired driving in both analyses. Conversely, there was no statistical relationship between perceptions of criminal sanctions for DWI and alcohol-impaired driving with 1 exception-a small significant negative relationship between duration of jail time following a DWI conviction and alcohol-impaired driving.
conclusionsPerceptions regarding the threat of being apprehended for alcohol-impaired driving were related to actual self-reported driving, while perceived sanctions following a DWI conviction for DWI generally were unrelated to either actual self-reported alcohol-impaired driving or the person's estimate of probability that he or she would drive while alcohol-impaired in the following year. Increasing certainty of apprehension by increasing police staffing and/or conducting sobriety checks is a more effective strategy for reducing alcohol-impaired driving than legislating increased penalties for DWI.
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Registered trials
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.