AIM Previous studies on youth drinking showed opposite trends for high-income and low-income countries. In Russia, a recent decline was observed in the prevalence of alcohol use, particularly among younger cohorts. This study aims at disentangling age and birth cohort effects to better understand the dynamics of abstinence and the volume of alcohol consumption. METHODS Data were collected from annual nationally representative panel surveys from 2006 to 2017. Data included 34,514 individuals aged 14-80. We estimated mixed-effects binary-choice models for percentage of abstainers and mixed-effects linear models with Heckman correction for alcohol volume. Integer variables of age and age-squared were used. Period was defined with a dummy variable using 2012 as the dividing line associated with a new Russian alcohol policy. Birth cohorts were defined as 13 groups from 1930-1939 to 2000-2003. Controls were per capita income, education, marital status, composition of households, body weight, ethnicity, residence type, regional per capita income and regional climate. RESULTS In both genders, percentage of abstainers increased and drinking volumes declined. Age for both genders showed u-shaped trend for abstinence and inverse u-shaped trend for alcohol volume. Controlling for age effects, cohorts born after 1990 demonstrated the strongest increase in abstinence for both genders and the strongest decrease in alcohol volume for males. The period of 2012-2017 had the effect of increasing the abstinence and decreasing the alcohol volume. CONCLUSION Downward trend in alcohol consumption in Russia is partially attributable to increased abstinence and reduced alcohol volume among younger cohorts.

中文翻译：

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从2006年到2017年，俄罗斯的酒精消费下降：出生人群很重要吗？

目的以前有关青年饮酒的研究表明，高收入和低收入国家的趋势相反。在俄罗斯，人们发现酒精使用率最近有所下降，特别是在年轻人群中。这项研究旨在阐明年龄和出生队列的影响，以更好地了解节制的动态和饮酒量。方法数据收集自2006年至2017年的年度全国代表性小组调查。数据包括34,514名14-80岁的人。我们估计了弃权者百分比的混合效应二元选择模型和酒精含量的Heckman校正的混合效应线性模型。使用年龄和年龄平方的整数变量。使用2012年作为与新的俄罗斯酒精饮料政策相关的分界线，使用虚拟变量定义了期间。从1930-1939年到2000-2003年，出生人群定义为13个小组。控制是人均收入，教育程度，婚姻状况，家庭组成，体重，种族，居住类型，人均区域收入和地区气候。结果在这两个性别中，弃权者的百分比均增加，饮酒量下降。男女年龄均显示戒酒呈U型趋势，酒精含量呈反U型趋势。在控制年龄影响方面，1990年后出生的队列显示，禁欲的增加幅度最大，而男性的饮酒量下降幅度最大。2012-2017年期间有节欲和减少酒精量的作用。