Hennepin County Medical Center, 701 Park Ave, Minneapolis, MN 55415, United States.
Drug Alcohol Depend. 2013 Oct 1;132(3):449-56. doi: 10.1016/j.drugalcdep.2013.03.010. Epub 2013 May 4.
The neighborhoods where people live can influence their drinking behavior. We hypothesized that living in a neighborhood with lower median income, higher alcohol outlet density, and only liquor stores and no grocery stores would be associated with higher alcohol consumption after adjusting for individual demographic and lifestyle factors.
We used two self-report measures to assess alcohol consumption in a sample of 9959 adults living in a large Midwestern county: volume of alcohol consumed (count) and binge drinking (5 or more drinks vs.<5 drinks). We measured census tract median annual household income based on U.S. Census data. Alcohol outlet density was measured using the number of liquor stores divided by the census tract roadway miles. The mix of liquor and food stores in census tracts was assessed using a categorical variable based on the number of liquor and number of food stores using data from InfoUSA. Weighted hierarchical linear and Poisson regression were used to test our study hypothesis.
Retail mix was associated with binge drinking. Individuals living in census tracts with only liquor stores had a 46% higher risk of binge drinking than individuals living in census tracts with food stores only after controlling for demographic and lifestyle factors.
Census tract characteristics such as retail mix may partly explain variability in drinking behavior. Future research should explore the mix of stores, not just the over-concentration of liquor stores in census tracts.
人们居住的社区会影响他们的饮酒行为。我们假设,在一个中值收入较低、酒类销售点密度较高、只有酒类商店而没有杂货店的社区居住,与在调整了个体人口统计学和生活方式因素后,饮酒量增加有关。
我们使用两种自我报告的措施,在一个居住在大型中西部县的 9959 名成年人样本中评估酒精消费:饮酒量(计数)和狂饮(5 杯或以上与<5 杯)。我们根据美国人口普查数据衡量了每个普查区的中位家庭年收入。使用 InfoUSA 的酒类和食品商店数量的分类变量来衡量酒类销售点密度。使用人口普查区酒类和食品商店数量的分类变量来评估酒类和食品商店的混合情况。使用加权分层线性和泊松回归来检验我们的研究假设。
零售混合与狂饮有关。在控制了人口统计学和生活方式因素后,与只居住在有食品商店的普查区的个体相比,只居住在有酒类商店的个体的狂饮风险高出 46%。
像零售混合这样的普查区特征可能部分解释了饮酒行为的变异性。未来的研究应该探索商店的组合,而不仅仅是酒类销售点在普查区的过度集中。