The epidemiological information available in Spain and the Community of Madrid highlights two relevant facts regarding alcohol consumption: an increase in binge drinking in teenagers and a reduction/reversal of the gender gap, particularly at young ages. This article aims to describe some of the factors related to alcohol use in teenagers, especially those related to gender and risk perception. A qualitative study was designed with semi-structured interviews and a discussion group with students from the city of Madrid aged 14 to 18 years. A descriptive analysis of the content of the replies of 28 teenagers was conducted. The results show that alcohol consumption has an identity component, both in terms of transition to adulthood and gender role performance. Consumption is also associated with risks, especially those determined by gender inequality, which teenagers learn to manage as a means of survival in nightlife. Preventive campaigns typically lack a gender perspective and a focus on risk prevention. To reduce the prevalence of consumption and associated risks, these strategies need to be reformulated with a gender perspective.

Measuring the density of alcohol outlets around schools is a critical step towards understanding the drivers of drinking among adolescents. Different methodologies have been used in the literature for this purpose, but the implications of using one methodology or another have not been clearly assessed. Our aim was to compare different methods to measure alcohol outlet density and highlight under which characteristics of the environment might be best using each approach. We used Geographic Information Systems to geolocate schools (n = 576) and alcohol outlets (n = 21,732) in Madrid. We defined the density of alcohol outlets as the number of establishments within an area of 400 m around schools measured using two buffering methods: crow flies’ and street network distances. We evaluated the agreement between both methods visually and through regression models, including street connectivity, population density, and density of recreational venues as predictors of disagreement. The density of alcohol outlets around schools was higher using crow flies’ distances compared to street network distances. The differences between methodologies were wider in areas of higher density of outlets, especially in the downtown areas, where there are higher population density and street connectivity. Our results suggest that the spatial characteristics and morphology of the study area (e.g., street connectivity and population density) should be considered when deciding the methodology to be used to measure alcohol outlet density. Future studies should explore the implications of different exposure measures in their association with drinking prevalence and consumption patterns among different geographical contexts.