Background: Alcohol consumption has become very common among adolescents in recent years and its prevalence varies in different countries. This study aimed to investigate the prevalence of alcohol consumption and related factors in adolescents aged 11 to 16 years.

Methods: This descriptive cross-sectional study was performed on 288385 adolescents (girls, 53.9% of total) aged 11 to 16 years. In the present study, the GSHS data (2003-2018) available to public on the websites of the US Centers for Disease Control and Prevention (CDC) and WHO was used. To investigate the factors affecting alcohol consumption, univariate and multivariate logistics models with 95% confidence limits were used.

Results: The overall prevalence of alcohol consumption in adolescents was 25.2%, which was 28.3% and 22.4% in boys and girls, respectively. Among the surveyed countries, the highest prevalence was in Seychelles (57.9%) and the lowest in Tajikistan (0.7). Multivariate analysis showed that the Age for 16 and more than 16 years old (OR = 3.08,95%CI: 2.54-3.74), truancy for more than 10 days (OR = 1.24, 95%CI: 1.08-1.43), loneliness at sometimes of the times (OR = 1.04, 95%CI: 1.01-1.07), insomnia at most of the times (OR = 1.85, 95%CI: 1.70-2.01), daily activity (OR = 1.03, 95%CI: 1.00-1.07), bullied for 1-9 Days in a month (OR = 1.24, 95%CI: 1.09-1.40), cigarette (OR = 4.01, 95%CI: 3.86-4.17), used marijuana for more than 10 days in a month (OR = 5.58, 95%CI: 4.59-7.78), had sex (OR = 2.76, 95%CI: 2.68-2.84), and suicide plan (OR = 1.48, 95%CI: 1.42-1.54) were important factors affecting drinking alcohol. (Table 4). In this study, the sensitivity, specificity, positive predictive value, and negative predictive value were 42.79%, 93.96%, 70.80%, and 82.75.

Conclusions: According to the results of the present study, the prevalence of alcohol consumption among teenagers was high. Therefore, it is suggested that demographic, family, and psychological factors should be taken into consideration in health programs for the prevention and treatment of alcohol consumption in adolescents.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10984532PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0297225PLOS

Publication Analysis

Top Keywords

alcohol consumption
28
prevalence alcohol
16
95%ci
9
consumption factors
8
factors adolescents
8
consumption adolescents
8
124 95%ci
8
days month
8
consumption
7
alcohol
7

Similar Publications

Purpose: To evaluate the risk factors that may delay enhanced recovery in the ablation of liver tumors.

Methods: A total of 310 patients who underwent ultrasound-guided ablation of liver tumors under general anesthesia were prospectively enrolled. Baseline data, intraoperative parameters, and postoperative events were evaluated.

View Article and Find Full Text PDF

: Low or moderate alcohol drinking may reduce the risk of depression, but depression may induce alcohol drinking. However, the bidirectional associations between alcohol drinking and depression were inconsistent, and many prior analyses were not properly conducted. This study explored the within-individual bidirectional associations between alcohol drinking and depressive symptoms under a causal analytic framework.

View Article and Find Full Text PDF

Persons with posttraumatic stress disorder (PTSD) compared to those without evince high rates of hazardous drinking, or patterns of alcohol consumption that increase the risk for harmful consequences. One potential marker of vulnerability for PTSD-hazardous drinking comorbidity may be smoking behavior. Individuals with PTSD have a higher prevalence of smoking and smoke at higher rates.

View Article and Find Full Text PDF

Objective: Anemia, obstructive sleep apnea (OSA), and hypertension are common social health problems. They are interconnected. This study assessed the independent association of anemia and OSA with hypertension and the interaction between anemia and OSA on hypertension in the US population.

View Article and Find Full Text PDF

Background: We aimed to identify the central lifestyle, the most impactful among lifestyle factor clusters; the central health outcome, the most impactful among health outcome clusters; and the bridge lifestyle, the most strongly connected to health outcome clusters, across 29 countries to optimise resource allocation for local holistic health improvements.

Methods: From July 2020 to August 2021, we surveyed 16 461 adults across 29 countries who self-reported changes in 18 lifestyle factors and 13 health outcomes due to the pandemic. Three networks were generated by network analysis for each country: lifestyle, health outcome, and bridge networks.

View Article and Find Full Text PDF

Want 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!