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Living under the influence: normalisation of alcohol consumption in our cities

Overview of attention for article published in Gaceta Sanitaria, October 2016
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7 X users

Citations

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Title
Living under the influence: normalisation of alcohol consumption in our cities
Published in
Gaceta Sanitaria, October 2016
DOI 10.1016/j.gaceta.2016.07.018
Pubmed ID
Authors

Xisca Sureda, Joan R. Villalbí, Albert Espelt, Manuel Franco

Abstract

Harmful use of alcohol is one of the world's leading health risks. A positive association between certain characteristics of the urban environment and individual alcohol consumption has been documented in previous research. When developing a tool characterising the urban environment of alcohol in the cities of Barcelona and Madrid we observed that alcohol is ever present in our cities. Urban residents are constantly exposed to a wide variety of alcohol products, marketing and promotion and signs of alcohol consumption. In this field note, we reflect the normalisation of alcohol in urban environments. We highlight the need for further research to better understand attitudes and practices in relation to alcohol consumption. This type of urban studies is necessary to support policy interventions to prevent and control harmful alcohol use.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 21%
Student > Ph. D. Student 2 14%
Researcher 2 14%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Social Sciences 3 21%
Computer Science 1 7%
Unknown 7 50%