Jornal de Alcoolismo e Dependência de Drogas

Jornal de Alcoolismo e Dependência de Drogas
Acesso livre

ISSN: 2329-6488

Abstrato

The Association Between Alcohol Interventions and Dui Incidents in Geelong, Victoria

Anders L Sønderlund, Peter Miller, Darren Palmer and Peter Kremer

Introduction and aims: Driving under the influence of alcohol is a major public health problem, every year affecting the lives of billions around the world - and not least in Australia. Since 2001, several Traffic Accident Commission (TAC), police, and community interventions have been implemented in Geelong, Australia to curb drinkdriving. The current paper aims to assess the impact of 13 alcohol interventions on drink-driving rates in the Geelong region of Australia. The interventions comprised seven TAC media campaigns, three Victoria Police operations, two community interventions targeting licensed premises, and the alcohol interlock program.

Method: This study examined two types of Victoria Police frequency data: Driving under the influence (DUI) offences, and roadside preliminary breath testing (PBT) rates. Multiple regressions were carried out to determine if any of the interventions were significantly associated with frequency fluctuations in the data.

Results: Of the 13 alcohol interventions examined, three TAC campaigns and one Victoria Police operation precipitated significant decreases in drink-driving rates, while another three TAC campaigns were associated with significant increases in drink-driving rates. Over one in five (22.5%) had recorded prior DUI offences.

Conclusions: The most promising approach to curbing DUI-rates in Geelong, appear to be through informative media campaigns which show people specific settings where they might become mildly intoxicated without being aware of it, such as TAC’s ‘Education 1’ campaign. However, there remains a worrying level of recidivist drink drivers in Geelong suggesting the need for tailored approaches.

Isenção de responsabilidade: Este resumo foi traduzido com recurso a ferramentas de inteligência artificial e ainda não foi revisto ou verificado.
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