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    Effective alcohol policies are associated with reduced consumption among demographic groups who drink heavily.
    (Wiley Periodicals LLC on behalf of Research Society on Alcohol, 2023-04-23) Casswell S; Huckle T; Parker K; Graydon-Guy T; Leung J; Parry C; Torun P; Sengee G; Pham C; Gray-Phillip G; Callinan S; Chaiyasong S; MacKintosh AM; Meier P; Randerson S
    BACKGROUND: Alcohol policies stand out among other noncommunicable disease-relevant policies for the lack of uptake. Composite indicators have been developed to measure the effects of alcohol control policy. We investigated whether drinking patterns among demographic groups from general population samples of drinkers from diverse countries are associated with alcohol control policy as measured by the International Alcohol Control (IAC) Policy Index. METHODS: Representative samples of adult drinkers from 10 countries (five high-income and five middle-income) were surveyed about alcohol consumption, using beverage and location-specific questions. MEASUREMENTS: The IAC Policy Index was analyzed with frequency, typical occasion quantity, and volume consumed. Analyses used mixed models that included interactions between country IAC Policy Index score and age group, gender, and education level. FINDINGS: Each increase in IAC policy index score (reflecting more effective alcohol policy) was associated with a 13.9% decrease in drinking frequency (p = 0.006) and a 16.5% decrease in volume (p = 0.001). With each increase in IAC Policy Index score, both genders decreased for all three measures, but men less so than women. Women decreased their typical occasion quantity by 1.2% (p = 0.006), frequency by 3.1% (p < 0.001), and total volume by 4.2% (p < 0.001) compared to men. Low and mid-education groups decreased their typical occasion quantity by 2.6% (p < 0.001) and 1.6% (p = 0.001), respectively, compared to high education, while for drinking frequency the low education group increased by 7.0% (p < 0.001). There was an overall effect of age (F = 19.27, p < 0.0001), with 18-19 and 20-24-year-olds showing the largest decreases in typical occasion quantity with increasing IAC policy index score. CONCLUSIONS: The IAC Policy Index, reflecting four effective policies, was associated with volume and frequency of drinking across 10 diverse countries. Each increase in the IAC Policy Index was associated with lower typical quantities consumed among groups reporting heavy drinking: young adults and less well-educated. There is value in implementing such alcohol policies and a need to accelerate their uptake globally.
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    Support for alcohol policies among drinkers in Mongolia, New Zealand, Peru, South Africa, St Kitts and Nevis, Thailand and Vietnam: Data from the International Alcohol Control Study
    (Wiley, 2018-08) Parry CDH; Londani M; Enkhtuya P; Huckle T; Piazza M; Gray-Phillip G; Chaiyasong S; Viet Cuong P; Casswell S
    Introduction and Aims A 2010 World Health Assembly resolution called on member states to intensify efforts to address alcohol-related harm. Progress has been slow. This study aims to determine the magnitude of public support for 12 alcohol policies and whether it differs by country, demographic factors and drinking risk (volume consumed). Design and Methods Data are drawn from seven countries participating in the International Alcohol Control Study which used country-specific sampling methods designed to obtain random, representative samples. The weighted total sample comprised 11 494 drinkers aged 16–65 years. Results Drinking risk was substantial (24% ‘increased’ risk and 16% ‘high’ risk) and was particularly high in South Africa. Support varied by alcohol policy, ranging from 12% to 96%, but was above 50% for 79% of the possible country/policy combinations. Across countries, policy support was generally higher for policies addressing drink driving and increasing the alcohol purchase age. There was less support for policies increasing the price of alcohol, especially when funds were not earmarked. Policy support differed by country, and was generally higher in the five middle-income countries than in New Zealand. It also differed by age, gender, education, quantity/frequency of drinking, risk category and country income level. Discussion and Conclusions We found a trend in policy support, generally being highest in the low–middle-income countries, followed by high–middle-income countries and then high-income countries. Support from drinkers for a range of alcohol policies is extensive across all countries and could be used as a catalyst for further policy action.