Why Is Per Capita Consumption Underestimated in Alcohol Surveys? Results from 39 Surveys in 23 European Countries

Why Is Per Capita Consumption Underestimated in Alcohol Surveys? Results from 39 Surveys in 23 European Countries
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DOI:
10.1093/alcalc/agaa048
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发表时间:
2020-09-01
影响因子:
2.8
通讯作者:
Rehm, Juergen
Rehm, Juergen
中科院分区:
医学3区
文献类型:
--
作者:
Kilian, Carolin;Manthey, Jakob;Rehm, Juergen

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目的:(A)估计23个欧洲国家的总的、有记录的和特定饮料的年人均消费量的覆盖率(即,与更可靠的总体消费数据相比,通过一项调查所占“实际消费”的比例),以及(B)调查地区之间的差异以及可能与低覆盖率相关的其他因素(重度饮酒[Hed],调查方法)。方法:调查数据来自标准化的欧洲酒精调查和欧洲调查中与酒精有关的措施的协调(调查次数:39,调查年限:2008-2015,20岁的成年人-)。通过将调查得出的消费估计数除以最近一项全球建模研究得出的人均酒精估计数,计算出总体覆盖率。结果:欧洲各国的酒类消费覆盖率差异很大(平均总覆盖率:36.5,95%可信区间[33.2;39.8]),烈性酒消费覆盖率最低(26.3,95%可信区间[21.4;31.3])。关于第二个目标,HED的流行与葡萄酒和烈性酒的具体覆盖范围有关,解释了各自差异的10%。然而,无论在何种情况下,对地区和调查方法的考虑都不能很好地解释覆盖范围估计的差异。结论:调查结果重申,酒精调查数据不应用于比较或估计总消费水平,这可能更好地反映在记录的或总的人均消费统计数据中。
Aims: The aims of the article are (a) to estimate coverage rates (i.e. the proportion of `real consumption' accounted for by a survey compared with more reliable aggregate consumption data) of the total, the recorded and the beverage-specific annual per capita consumption in 23 European countries, and (b) to investigate differences between regions, and other factors which might be associated with low coverage (prevalence of heavy episodic drinking [HED], survey methodology).Methods: Survey data were derived from the Standardised European Alcohol Survey and Harmonising Alcohol-related Measures in European Surveys (number of surveys: 39, years of survey: 20082015, adults aged 20-64 years). Coverage rates were calculated at the aggregated level by dividing consumption estimates derived from the surveys by alcohol per capita estimates from a recent global modelling study. Fractional response regression models were used to examine the relative importance of the predictors.Results: Large variation in coverage across European countries was observed (average total coverage: 36.5, 95% confidence interval [CI] [33.2; 39.8]), with lowest coverage found for spirits consumption (26.3, 95% CI [21.4; 31.3]). Regarding the second aim, the prevalence of HED was associated with wine- and spirits-specific coverage, explaining 10% in the respective variance. However, neither the consideration of regions nor survey methodology explained much of the variance in coverage estimates, regardless of the scenario.Conclusion: The results reiterate that alcohol survey data should not be used to compare or estimate aggregate consumption levels, which may be better reflected by statistics on recorded or total per capita consumption.