Alcohol control policy and changes in alcohol-related traffic harm

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Alcohol control policy and changes in alcohol-related traffic harm. / Rehm, Jürgen; Manthey, Jakob; Lange, Shannon; Badaras, Robertas; Zurlyte, Ingrida; Passmore, Jonathon; Breda, João; Ferreira-Borges, Carina; Štelemèkas, Mindaugas.

In: ADDICTION, Vol. 115, No. 4, 04.2020, p. 655-665.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Rehm, J, Manthey, J, Lange, S, Badaras, R, Zurlyte, I, Passmore, J, Breda, J, Ferreira-Borges, C & Štelemèkas, M 2020, 'Alcohol control policy and changes in alcohol-related traffic harm', ADDICTION, vol. 115, no. 4, pp. 655-665. https://doi.org/10.1111/add.14796

APA

Rehm, J., Manthey, J., Lange, S., Badaras, R., Zurlyte, I., Passmore, J., Breda, J., Ferreira-Borges, C., & Štelemèkas, M. (2020). Alcohol control policy and changes in alcohol-related traffic harm. ADDICTION, 115(4), 655-665. https://doi.org/10.1111/add.14796

Vancouver

Bibtex

@article{435dbcebcb6f443599d2834a7052d9f7,
title = "Alcohol control policy and changes in alcohol-related traffic harm",
abstract = "AIMS: To study the impact of alcohol control policy measures (i.e. increases in taxation, restrictions on availability, including minimum purchasing age regulations, legislation on drink driving and advertisement bans) on alcohol-related traffic harm in Lithuania between January 2004 and February 2019.DESIGN: Analyses of trend data on the proportion of alcohol-related collisions and crashes, injury and mortality, adjusting for secular trends, seasonality, periods of alcohol control measure implementation and economic development. Generalized additive mixed models were used. Multiple sensitivity analyses were conducted.SETTING: Lithuania.CASES: Monthly number of alcohol-related cases of traffic collisions and crashes, injuries and deaths.INTERVENTIONS AND COMPARATORS: Periods of time during which new alcohol control measures were implemented and/or augmented compared to periods when they were not.MEASUREMENTS: Monthly data for 2004 to 2019 from routine statistics of the Lithuanian Road Police Service.FINDINGS: All indicators decreased consistently and significantly after the implementation of alcohol control measures, including increased taxation, reduction of availability and a ban on advertisement, starting in 2014. On average, each implemented policy measure permanently reduced the proportion of alcohol-attributable crashes by 0.55% [95% confidence interval (CI) = 0.21-0.90%; P = 0.002], the proportion of alcohol-attributable injuries by 0.60% (95% CI = 0.24-0.97%; P = 0.001) and the proportion of alcohol-attributable deaths by 0.13% (95% CI = 0.10-0.15%; P < 0.001).CONCLUSIONS: Alcohol control policy measures, including measures to reduce overall level of alcohol consumption, were associated with a marked decrease in alcohol-related traffic harm.",
author = "J{\"u}rgen Rehm and Jakob Manthey and Shannon Lange and Robertas Badaras and Ingrida Zurlyte and Jonathon Passmore and Jo{\~a}o Breda and Carina Ferreira-Borges and Mindaugas {\v S}telem{\`e}kas",
note = "{\textcopyright} 2019 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.",
year = "2020",
month = apr,
doi = "10.1111/add.14796",
language = "English",
volume = "115",
pages = "655--665",
journal = "ADDICTION",
issn = "0965-2140",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

TY - JOUR

T1 - Alcohol control policy and changes in alcohol-related traffic harm

AU - Rehm, Jürgen

AU - Manthey, Jakob

AU - Lange, Shannon

AU - Badaras, Robertas

AU - Zurlyte, Ingrida

AU - Passmore, Jonathon

AU - Breda, João

AU - Ferreira-Borges, Carina

AU - Štelemèkas, Mindaugas

N1 - © 2019 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

PY - 2020/4

Y1 - 2020/4

N2 - AIMS: To study the impact of alcohol control policy measures (i.e. increases in taxation, restrictions on availability, including minimum purchasing age regulations, legislation on drink driving and advertisement bans) on alcohol-related traffic harm in Lithuania between January 2004 and February 2019.DESIGN: Analyses of trend data on the proportion of alcohol-related collisions and crashes, injury and mortality, adjusting for secular trends, seasonality, periods of alcohol control measure implementation and economic development. Generalized additive mixed models were used. Multiple sensitivity analyses were conducted.SETTING: Lithuania.CASES: Monthly number of alcohol-related cases of traffic collisions and crashes, injuries and deaths.INTERVENTIONS AND COMPARATORS: Periods of time during which new alcohol control measures were implemented and/or augmented compared to periods when they were not.MEASUREMENTS: Monthly data for 2004 to 2019 from routine statistics of the Lithuanian Road Police Service.FINDINGS: All indicators decreased consistently and significantly after the implementation of alcohol control measures, including increased taxation, reduction of availability and a ban on advertisement, starting in 2014. On average, each implemented policy measure permanently reduced the proportion of alcohol-attributable crashes by 0.55% [95% confidence interval (CI) = 0.21-0.90%; P = 0.002], the proportion of alcohol-attributable injuries by 0.60% (95% CI = 0.24-0.97%; P = 0.001) and the proportion of alcohol-attributable deaths by 0.13% (95% CI = 0.10-0.15%; P < 0.001).CONCLUSIONS: Alcohol control policy measures, including measures to reduce overall level of alcohol consumption, were associated with a marked decrease in alcohol-related traffic harm.

AB - AIMS: To study the impact of alcohol control policy measures (i.e. increases in taxation, restrictions on availability, including minimum purchasing age regulations, legislation on drink driving and advertisement bans) on alcohol-related traffic harm in Lithuania between January 2004 and February 2019.DESIGN: Analyses of trend data on the proportion of alcohol-related collisions and crashes, injury and mortality, adjusting for secular trends, seasonality, periods of alcohol control measure implementation and economic development. Generalized additive mixed models were used. Multiple sensitivity analyses were conducted.SETTING: Lithuania.CASES: Monthly number of alcohol-related cases of traffic collisions and crashes, injuries and deaths.INTERVENTIONS AND COMPARATORS: Periods of time during which new alcohol control measures were implemented and/or augmented compared to periods when they were not.MEASUREMENTS: Monthly data for 2004 to 2019 from routine statistics of the Lithuanian Road Police Service.FINDINGS: All indicators decreased consistently and significantly after the implementation of alcohol control measures, including increased taxation, reduction of availability and a ban on advertisement, starting in 2014. On average, each implemented policy measure permanently reduced the proportion of alcohol-attributable crashes by 0.55% [95% confidence interval (CI) = 0.21-0.90%; P = 0.002], the proportion of alcohol-attributable injuries by 0.60% (95% CI = 0.24-0.97%; P = 0.001) and the proportion of alcohol-attributable deaths by 0.13% (95% CI = 0.10-0.15%; P < 0.001).CONCLUSIONS: Alcohol control policy measures, including measures to reduce overall level of alcohol consumption, were associated with a marked decrease in alcohol-related traffic harm.

U2 - 10.1111/add.14796

DO - 10.1111/add.14796

M3 - SCORING: Journal article

C2 - 31475395

VL - 115

SP - 655

EP - 665

JO - ADDICTION

JF - ADDICTION

SN - 0965-2140

IS - 4

ER -