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[Prevalence of binge drinking among high school students and urban contextual factors.] 2020

Joan R Villalbí, and Gemma Serral, and Albert Espelt, and Susanna Puigcorbé, and Montse Bartroli, and Xisca Sureda, and Ester Teixidó-Compañó, and Marina Bosque-Prous
Agència de Salut Pública. Barcelona. España.

OBJECTIVE Many teenagers experiment with addictive substances such as alcohol. The objective of this study was to estimate the frequency of binge drinking among secondary school students and its relationship with sex, grade, and type of school, as well as with urban contextual factors of the school neighborhood: socioeconomic level, density of alcohol outlet premises, and tourist pressure. METHODS This was an observational cross-sectional study. The study population were the students of 8th and 10th grade (2nd and 4th year of ESO) in the city of Barcelona in 2016. Alcohol use, sex, grade, type of school and school neighborhood were taken from the FRESC survey. The wealth of the neighborhood and tourist pressure were extracted from municipal statistics. The density of alcohol outlets was obtained by direct observation with the OHCITIES instrument. We estimated the prevalence of binge drinking (consumption of five or more units on one occasion) stratifying by age, sex and ownership of the school. We calculated a robust Poisson regression model with the individual and contextual variables and analyzed the situation of those neighborhoods with the highest prevalence of binge. RESULTS The self-declared frequency of binge drinking in the last 30 days was 6.1% in this sample of 2,329 students, 2.2% in 8th grade and 10.3% in 10th grade. It was higher in boys (7%) than in girls (5.1%), and slightly higher in private subsidized schools (6.4%) than in public schools (5.5%). In the Poisson regression models, neither the coefficients of the three contextual variables nor the type of school reached statistical significance, contrary to those obtained with the individual variables of sex and year. The adjusted prevalence of binge in the 36 neighborhoods ranged from 0 to 18.2%. Comparing the contextual variables of the 8 neighborhoods with the lowest prevalence of binge with the others, both a greater density of local alcohol sales and higher tourism pressure were associated with a higher prevalence of binge drinking, while for wealth there were no significant differences. CONCLUSIONS The use of alcohol in early adolescence is related to individual variables such as sex and age. Urban contextual factors such as a higher tourist pressure and the density of premises that sell alcohol may exert also some influence.

UI MeSH Term Description Entries
D008297 Male Males
D011795 Surveys and Questionnaires Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions. Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D012111 Residence Characteristics Elements of residence that characterize a population. They are applicable in determining need for and utilization of health services. Community,Domicile,Living Arrangements,Neighborhood,Place of Birth,Residential Selection,Arrangement, Living,Birth Place,Communities,Domiciles,Living Arrangement,Neighborhoods,Residence Characteristic
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D012574 Schools Educational institutions. Primary Schools,Schools, Secondary,Secondary Schools,Primary School,School,School, Primary,School, Secondary,Schools, Primary,Secondary School
D012959 Socioeconomic Factors Social and economic factors that characterize the individual or group within the social structure. Economic and Social Factors,Social Inequalities,Social Inequality,Social and Economic Factors,Socioeconomic Characteristics,Factors, Socioeconomic,High-Income Population,Land Tenure,Standard of Living,Characteristic, Socioeconomic,Factor, Socioeconomic,High Income Population,High-Income Populations,Inequality, Social,Living Standard,Living Standards,Population, High-Income,Socioeconomic Characteristic,Socioeconomic Factor,Tenure, Land

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