Kypri Kypros, Bell Melanie L, Hay Geoff C, Baxter Joanne
School of Medicine and Public Health, University of Newcastle, Australia.
Addiction. 2008 Jul;103(7):1131-8. doi: 10.1111/j.1360-0443.2008.02239.x.
To examine the geographic density of alcohol outlets and associations with drinking levels and related problems among university students.
Cross-sectional survey study using geospatial data, with campus-level and individual-level analyses.
A total of 2550 students (mean age 20.2, 60% women) at six university campuses in New Zealand (63% response).
Counts of alcohol outlets within 3 km of each campus were tested for their non-parametric correlation with aggregated campus drinking levels and related problems. Generalized estimating equations were used to model the relation between outlet counts within 1 km and 3 km of student residences and individual drinking levels/problems, with control for gender, age, ethnicity and high school binge drinking frequency, and adjustment for campus-level clustering.
Correlations for campus-level data were 0.77 (P = 0.07) for drinking and personal problems, and 0.31 (P = 0.54) for second-hand effects. There were consistent significant associations of both on- and off-licence outlet densities with all outcomes in student-level adjusted models. Effects were largest for 1 km densities and off-licence outlets.
There are positive associations between alcohol outlet density and individual drinking and related problems. Associations remain after controlling for demographic variables and pre-university drinking, i.e. the associations are unlikely to be due to self-selection effects. Increasing alcohol outlet density, and particularly off-licences, may increase alcohol-related harm among university students.
研究酒精销售点的地理密度以及与大学生饮酒水平和相关问题之间的关联。
采用地理空间数据的横断面调查研究,进行校园层面和个体层面的分析。
新西兰六所大学校园的2550名学生(平均年龄20.2岁,60%为女性)(回复率63%)。
测试每个校园3公里范围内酒精销售点的数量与校园总体饮酒水平及相关问题的非参数相关性。使用广义估计方程来模拟学生住所1公里和3公里范围内销售点数量与个体饮酒水平/问题之间的关系,同时控制性别、年龄、种族和高中时期狂饮频率,并对校园层面的聚类进行调整。
校园层面数据中,饮酒与个人问题的相关性为0.77(P = 0.07),二手效应的相关性为0.31(P = 0.54)。在学生层面的调整模型中,有证和无证销售点的密度与所有结果均存在一致的显著关联。对1公里范围内的密度和无证销售点,影响最大。
酒精销售点密度与个体饮酒及相关问题之间存在正相关。在控制人口统计学变量和大学前饮酒情况后,这种关联依然存在,即这种关联不太可能是由于自我选择效应。酒精销售点密度的增加,尤其是无证销售点的增加,可能会增加大学生中与酒精相关的危害。