US state alcohol sales compared to survey data, 1993-2006
US state alcohol sales compared to survey data, 1993-2006
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DOI：
10.1111/j.1360-0443.2010.03007.x
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发表时间：
2010-09-01
期刊：
影响因子：
6
通讯作者：
Roeber, James
中科院分区：
文献类型：
--
作者：
Nelson, David E.;Naimi, Timothy S.;Roeber, James
目的评估酒精销售数据和调查数据之间的相关性的长期趋势。设计分析美国酒精流行病学数据系统的国家酒精消费数据的基础上销售，税收收入或酒精运输。使用电话调查的美国行为风险因素监测系统对成年人酒精相关措施的横断面、州年度估计。设置美国。参与者：1993-2006年国家酒类税收当局、酒类销售商、酒类行业（销售数据）和随机选择的18岁以上成年人（调查数据）。根据销售数据估计的国家一级人均年酒精消费量。调查中自我报告的饮酒量、当前饮酒、大量饮酒、酗酒和酒精受损驾驶。使用线性回归模型计算相关系数。结果国家调查估计的消费占22%至32%的国家销售数据多年的平均值。然而，这两个来源的州消费量估计值与年度r值（0.55-0.71）密切相关。州销售数据与当前饮酒，酗酒和酗酒的调查估计值有中度到强相关性（多年的r值范围分别为：0.57-0.65; 0.33-0.70和0.45-0.61），但与酒精受损驾驶的相关性较弱（r值范围：0.24-0.56）。相关系数的大小无趋势。结论虽然国家调查大大低估了酒精消费，销售消费和调查数据之间的关联强度的一致性，大多数酒精措施表明，这两个数据源继续提供有价值的信息。这些发现支持并扩展了消费分布模型和单一分布理论，表明销售和调查数据都有助于监测酒精使用的人口变化。
Aims Assess long-term trends of the correlation between alcohol sales data and survey data. Design Analyses of state alcohol consumption data from the US Alcohol Epidemiologic Data System based on sales, tax receipts or alcohol shipments. Cross-sectional, state annual estimates of alcohol-related measures for adults from the US Behavioral Risk Factor Surveillance System using telephone surveys. Setting United States. Participants State alcohol tax authorities, alcohol vendors, alcohol industry (sales data) and randomly selected adults aged >= 18 years 1993-2006 (survey data). Measurements State-level per capita annual alcohol consumption estimates from sales data. Self-reported alcohol consumption, current drinking, heavy drinking, binge drinking and alcohol-impaired driving from surveys. Correlation coefficients were calculated using linear regression models. Findings State survey estimates of consumption accounted for amedian of 22% to 32% of state sales data across years. Nevertheless, state consumption estimates from both sources were strongly correlated with annual r-values ranging from 0.55-0.71. State sales data had moderate-to-strong correlations with survey estimates of current drinking, heavy drinking and binge drinking (range of r-values across years: 0.57-0.65; 0.33-0.70 and 0.45-0.61, respectively), but a weaker correlation with alcoholimpaired driving (range of r-values: 0.24-0.56). There were no trends in the magnitude of correlation coefficients. Conclusions Although state surveys substantially underestimated alcohol consumption, the consistency of the strength of the association between sales consumption and survey data for most alcohol measures suggest both data sources continue to provide valuable information. These findings support and extend the distribution of consumption model and single distribution theory, suggesting that both sales and survey data are useful for monitoring population changes in alcohol use.