Fátima Mori-Gamarra1, Lucía Moure-Rodríguez2, Xisca Sureda3, Carina Carbia4, Dominic Royé5, Agustín Montes-Martínez1, Fernando Cadaveira4, Francisco Caamaño-Isorna1. 1. CIBER de Epidemiología y Salud Pública (CIBERESP), España; Departamento de Medicina Preventiva, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, España. 2. 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. Electronic address: lucia.moure@rai.usc.es. 3. Grupo de Investigación en Epidemiología Social y Cardiovascular, Facultad de Medicina, Universidad de Alcalá, Alcalá de Henares, Madrid, España. 4. Departamento de Psicología Clínica y Psicobiología, Universidade de Santiago de Compostela, Santiago de Compostela, Santiago de Compostela, A Coruña, España. 5. CIBER de Epidemiología y Salud Pública (CIBERESP), España; Departamento de Medicina Preventiva, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, España; Departamento de Geografía, Universidade de Santiago de Compostela, Santiago de Compostela, A Coruña, España; Departamento de Geografía, Universidad de O Porto, Porto, Portugal.
Abstract
OBJECTIVE: 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). METHOD: 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. RESULTS: 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). CONCLUSION: 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.
OBJECTIVE: 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). METHOD: 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. RESULTS: 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). CONCLUSION: 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.
Keywords:
Adolescentes; Adolescents; Alcohol; Alcohol outlet density; Consumo de menores de edad; Densidad de puntos de venta de alcohol; Underage drinking
Authors: Alicia Busto Miramontes; Lucía Moure-Rodríguez; Narmeen Mallah; Ainara Díaz-Geada; Montserrat Corral; Fernando Cadaveira; Francisco Caamaño-Isorna Journal: Int J Environ Res Public Health Date: 2021-03-04 Impact factor: 3.390