We used autoregressive integrated moving average (ARIMA) interrupted time series techniques to model the impact of the intervention on the outcome series. The time series began in January 2000 and ended in December 2010. The alcohol policy was implemented in January 2006, providing 132 monthly observations in the outcome series, with 72 months of pre-intervention data and 60 months of post-intervention data.
The outcome variables were the monthly number of male- and female-specific deaths of those aged 15+ years due to transport accidents in Russia.
The 2006 set of alcohol policies had no impact on female deaths due to traffic accidents (ω0 = 50.31, p = .27). However, the intervention model revealed an immediate and sustained monthly decrease of 203 deaths due to transport accidents for males (ω0 = 203.40, p = .04), representing an 11% reduction relative to pre-intervention levels
The implementation of the suite of 2006 Russian alcohol control policies is partially responsible for saving more than 2400 male lives annually that would otherwise have been lost to traffic accidents.
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Request Reprint E-Mail: william.pridemore@gmail.com