Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, 19104, USA.
Subst Abuse Treat Prev Policy. 2022 Feb 4;17(1):7. doi: 10.1186/s13011-021-00430-6.
To examine whether changes in density of neighborhood alcohol outlets affected changes in alcohol consumption 1-year after regulatory changes increased alcohol availability.
Person-level data came from a population-based cohort (aged 21-64) residing in/around the Philadelphia, Pennsylvania metropolitan area (2016-2018, N = 772). Fifty-eight percent lived in a state that began implementing new regulations (Pennsylvania) and the remainder lived in states without major regulatory changes (Delaware and New Jersey). Alcohol consumption was assessed as days per week (pw), drinks pw, high consumption (≥8 drinks pw), and binge drinking. Availability of off-premise alcohol outlets was assessed using 1-mile density and distance. Regression models adjusted for age, gender, race/ethnicity, income, education, health status, state and population density.
Cross-sectional analyses found that higher outlet density was associated with more alcohol consumption (days, drinks, high consumption; all p < 0.03) and residing farther from an outlet was associated with less alcohol consumption (days and drinks; all p < 0.04). In longitudinal analyses, relative to no change in outlets, exposure to more outlets was associated with 64% higher odds of drinking on more days pw (p < 0.049) and 55% higher odds of consuming more drinks pw (p < 0.081). However, the longitudinal association between changes in outlets and changes in consumption did not differ for residents in Pennsylvania vs. nearby states. In cross-sectional and longitudinal analyses, outlets were not related to binge drinking.
Off-premise outlets were associated with alcohol consumption consistently in cross-sectional analysis and in some longitudinal analyses. Results can inform future studies that wish to evaluate longer-term changes in increased alcohol availability and effects on consumption.
为了研究在增加酒精供应的监管变化一年后,社区内酒类销售点密度的变化是否会影响酒精消费的变化。
个人层面的数据来自一个基于人群的队列研究(年龄在 21-64 岁之间),居住在宾夕法尼亚州费城大都市区(2016-2018 年,N=772)及其周边地区。其中 58%的人居住在开始实施新法规的州(宾夕法尼亚州),其余的人居住在没有重大监管变化的州(特拉华州和新泽西州)。酒精摄入量通过每周饮酒天数(pw)、饮酒量 pw、高摄入量(≥8pw)和 binge drinking 来评估。酒类销售点的供应情况通过每英里的密度和距离来评估。回归模型调整了年龄、性别、种族/民族、收入、教育、健康状况、州和人口密度等因素。
横断面分析发现,酒类销售点密度越高,酒精摄入量越高(所有 p<0.03),距离酒类销售点越远,酒精摄入量越低(所有 p<0.04)。在纵向分析中,与销售点没有变化相比,暴露于更多的销售点与每周饮酒天数增加 64%(p<0.049)和每周饮酒量增加 55%(p<0.081)的可能性更高相关。然而,宾夕法尼亚州和附近州的居民之间,销售点变化与消费变化之间的纵向关联并无差异。在横断面和纵向分析中,销售点与 binge drinking 无关。
酒类销售点与酒精摄入量呈横断面分析和一些纵向分析一致。结果可为未来研究提供信息,评估增加酒精供应的长期变化及其对消费的影响。