This study aimed to estimate the prevalence of binge drinking and other alcohol consumption patterns and analyze the sociodemographic characteristics associated with binge drinking among Brazilian adolescents aged 15 to 17 years. A cross-sectional household survey including 2,315 adolescents from the 2019 Brazilian National Health Survey who answered a questionnaire on alcohol consumption (weekly frequency, average amount consumed in a drinking day, and binge drinking). A descriptive analysis of alcohol consumption by sociodemographic characteristics and a multivariable logistic regression model were performed. The prevalence of binge drinking (past 30 days) was 8.1% (95%CI: 6.2-10.3). Adolescents who did not attend school (OR = 2.8; 95%CI: 1.6-5.0) had greater odds of binge drinking than adolescents attending school. Higher socioeconomic status (measured via wealth score) was also associated with higher odds of binge drinking compared with lower socioeconomic status (e.g., 5th quintile vs. 1st quintile: OR = 2.9; 95%CI: 1.1-7.7). Girls had lower odds of binge drinking (OR = 0.5; 95%CI: 0.2-0.8) than boys. The prevalence of binge drinking among adolescents, especially boys, who did not attend school and had higher socioeconomic status was high. Monitoring alcohol consumption patterns in adolescents may provide important information on policies or actions to prevent binge drinking.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1590/0102-311XEN077322 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Neurocognitive Markers during Maximum Alcohol Use in Late Adolescence as Predictors of Change in Later Drinking Behaviors.
Mental Health Sci
September 2024
Department of Psychiatry, UC San Diego, La Jolla, CA, USA.
Background: The influence of alcohol use on later neurocognitive functioning is well researched, yet few studies have investigated whether neurocognition post-drinking initiation in adolescence predicts changes in later alcohol use.
Objective: Investigate neurocognitive task performance during maximum alcohol use in late adolescence as predictors of drinking behaviors 3-7 years later.
Methods: Analyses () were conducted on a longitudinal dataset involving adolescents (12-13 years-old) who were followed for 16 years.
Impact of the COVID-19 pandemic on alcohol consumption in young adults: A systematic review.
Public Health
January 2025
Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Faculty of Health Sciences, Universidad de León, 24071, León, Spain; The Research Group in Gene-Environment and Health Interactions (GIIGAS), Institute of Biomedicine (IBIOMED), Universidad de León, 24071, León, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), 28029, Madrid, Spain.
Objectives: The COVID-19 pandemic caused unprecedented restrictions, leading to differences in the frequency and patterns of alcohol consumption, especially among young adults. This systematic review aims to investigate the overall evidence concerning changes in alcohol consumption in this period.
Study Design: Systematic review.
Real-time mechanism-based interventions for daily alcohol challenges: Protocol for ecological momentary assessment and intervention.
Digit Health
January 2025
Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
Background: Advancing evidence-based, tailored interventions for substance use disorders (SUDs) requires understanding temporal directionality while upholding ecological validity. Previous studies identified loneliness and craving as pivotal factors associated with alcohol consumption, yet the precise directionality of these relationships remains ambiguous.
Objective: This study aims to establish a smartphone-based real-life intervention platform that integrates momentary assessment and intervention into everyday life.
Machine Learning-Based Prediction of Binge Drinking among Adults in the United State: Analysis of the 2022 Health Information National Trends Survey.
Proc 2024 9th Int Conf Math Artif Intell (2024)
May 2024
Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06516, USA.
Little is known about the association of social media and belief in alcohol and cancer with binge drinking. This study aimed to perform feature selection and develop machine learning (ML) tools to predict occurrence of binge drinking among adults in the United State. A total of 5,886 adults including 1,252 who ever experienced with binge drinking were selected from the 2022 Health Information National Trends Survey (HINTS 6).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!