ArticleAddiction (Abingdon, England)2022
The geography of sobriety checkpoints and alcohol-impaired driving.
Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Driving under the influence of cannabis versus alcohol: A mixed-methods study examining perceptions and related risk behaviors among US and Israeli adults.Addictive behaviors · 2024Article
- Optimizing sobriety checkpoints to maximize public health benefits and minimize operational costs.Injury epidemiology · 2023Article
- Unintended reductions in assaults near sobriety checkpoints: A longitudinal spatial analysis.Spatial and spatio-temporal epidemiology · 2023Article
- Driving Under the Influence of Alcohol, Cannabis, and Delta-8 THC: Perceived Likelihood, Risk Perceptions, and Behaviors.Journal of psychoactive drugsArticle
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Authors and funding
12 authors.
Funding
Abstract
BACKGROUND AND
aimsSobriety checkpoints are an effective strategy to reduce alcohol-impaired driving, motor vehicle crashes, injuries and fatalities. The aim of this study was to identify the geographic extent over which individual sobriety checkpoints affect alcohol-impaired driving. DESIGN, SETTING,
participantsSpatial ecological panel analysis using geolocated breath test data from the Queensland Police Service, Australia, for January 2012 to June 2018. Data were aggregated over 338 weeks within 528 Statistical Area level 2 (SA2) units (n = 178 464 SA2-weeks) and 84 Statistical Area level 3 (SA3) units (n = 28 392 SA3-weeks). SA2 units in Queensland contain a mean population of 8883.5 (SD = 55 018.3) and encompass 468.9 roadway kilometers (SD = 1490.0); SA3 units contain a mean population of 57 201.6 (SD = 29521.6) and encompass 2936.0 roadway kilometers (SD = 7025.0). MEASUREMENTS: Independent measures were the density of sobriety checkpoints conducted per 500 roadway kilometers within local and spatially adjacent space-time units. The dependent measure was the rate of tests that detected breath alcohol concentration (a proxy for blood alcohol concentration [BAC]) greater than the legal maximum value of 0.05% for fully licensed drivers in Queensland. Bayesian hierarchical spatial negative binomial models-related sobriety checkpoints to the rate of breath tests with BAC ≥ 0.05% within and between space-time units.
findingsOne additional sobriety checkpoint conducted per 500 roadway kilometers was associated with 2.5% reduction in the rate of breath tests with BAC ≥ 0.05% within local SA2 units (incidence rate ratio [IRR] = 0.975; 95% credibility interval (CrI): 0.973-0.978), and with 5.5% reduction in the rate of breath tests with BAC ≥ 0.05% within local SA3 units (IRR = 0.945; 95%CrI: 0.937-0.953). Associations were attenuated towards null in spatially adjacent units and in temporally lagged units (e.g. SA3-weeks; adjacent lagged 1 week: IRR = 0.969; 95%CrI: 0.937-1.003).
conclusionsIndividual sobriety checkpoints appear to be associated with reductions in nearby alcohol-impaired driving. Relationships decay after approximately 1 week and beyond local areas containing approximately 60 000 residents and 3000 kilometers of roadway.
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