Mori-Gamarra Fátima, Moure-Rodríguez Lucía, Sureda Xisca, Carbia Carina, Royé Dominic, Montes-Martínez Agustín, Cadaveira Fernando, Caamaño-Isorna Francisco
CIBER de Epidemiología y Salud Pública (CIBERESP), España; Departamento de Medicina Preventiva, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, España.
CIBER de Epidemiología y Salud Pública (CIBERESP), España; Departamento de Medicina Preventiva, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, España; Área de Investigación e Innovación del Complexo Hospitalario de Ourense, Instituto de Investigación Sanitaria Galicia Sur (IIS Galicia Sur), SERGAS-UVIGO, Vigo, Pontevedra, España.
Gac Sanit. 2020 Jan-Feb;34(1):15-20. doi: 10.1016/j.gaceta.2018.09.005. Epub 2018 Dec 21.
To assess the influence that alcohol outlet density, off- and on-alcohol premises, and alcohol consumption wield on the consumption patterns of young pre-university students in Galicia (Spain).
A cross-sectional analysis of a cohort of students of the University of Santiago de Compostela (Compostela Cohort 2016) was carried out. Consumption prevalence were calculated for each of the municipalities from the first-cycle students' home residence during the year prior to admission. The association with risky alcohol consumption (RC) and binge-drinking (BD) was assessed with a logistic model considering as independent variables the municipality population, alcohol outlet density of off- premises, density of off- and on- premises and total density of both types of premises in the municipality.
The prevalence of RC was 60.5% (95% confidence interval [95%CI]: 58.4-62.5) and the BD was 28.5% (95%CI: 26.7-30.2). A great variability was observed according to the municipality of provenance. The multivariate logistic model showed municipalities with a density of 8.42-9.34 of both types of premises per thousand inhabitants presented a higher risk of RC (odds ratio [OR]: 1,39; 95%CI: 1.09-1.78) and BD (OR: 1.29; 95%CI: 1.01-1.66).
These data suggest the importance of including environmental information when studying alcohol consumption. Knowing our environment better could help plan policies that encourage healthier behaviour in the population.
评估酒精销售点密度、非售酒场所和售酒场所,以及酒精消费对西班牙加利西亚地区大学预科年轻学生消费模式的影响。
对圣地亚哥德孔波斯特拉大学的一组学生(2016年孔波斯特拉队列)进行横断面分析。计算入学前一年首批学生家庭所在各市政府的消费流行率。采用逻辑模型评估与危险饮酒(RC)和暴饮(BD)的关联,将市政府人口、非售酒场所酒精销售点密度、非售酒场所和售酒场所密度以及市政府两类场所的总密度作为自变量。
RC的流行率为60.5%(95%置信区间[95%CI]:58.4 - 62.5),BD的流行率为28.5%(95%CI:26.7 - 30.2)。根据生源地市政府观察到很大的差异。多变量逻辑模型显示,每千名居民中两类场所密度为8.42 - 9.34的市政府,RC风险更高(优势比[OR]:1.39;95%CI:1.09 - 1.78),BD风险更高(OR:1.29;95%CI:1.01 - 1.66)。
这些数据表明在研究酒精消费时纳入环境信息的重要性。更好地了解我们的环境有助于制定鼓励民众更健康行为的政策。