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Factors associated with alcohol use and dependence among youth in Kolar district, India: A cross-sectional study

AI Summary
  • 6.6% of youth currently use alcohol; among users 21.8% hazardous, 11% dependent, population hazardous 1.4% and dependent 0.7%.
  • Older age (26–30), smoking, smokeless tobacco, peer drinking, risky sexual behaviour, physical violence and suicidal behaviour strongly associated with higher alcohol use.
  • Protective factors included unemployment, free-time activities, and migrant status, indicating interventions must address socio-behavioural determinants.
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J Educ Health Promot. 2026 May 7;15:165. doi: 10.4103/jehp.jehp_386_25. eCollection 2026.

ABSTRACT

BACKGROUND: This study aims to examine the prevalence and factors associated with alcohol use and alcohol dependence among youth in Kolar district, Karnataka, India.

MATERIALS AND METHODS: A cross-sectional analysis was conducted using data from the Youth Health and Behavior Surveillance Survey (2021-2022) with 5,072 youth aged 15-30 years. Alcohol use was assessed using the WHO AUDIT score, categorizing participants into low-risk, hazardous, and dependent users. Descriptive and multivariate ordinal logistic regression analyses were performed to identify significant associations.

RESULTS: The study found that 6.6% of youth were current alcohol users. Among these users, 21.8% engaged in hazardous use and 11% met criteria for alcohol dependence. This translates to a prevalence of 1.4% for hazardous use and 0.7% for alcohol dependence in the total population. Factors significantly associated with higher alcohol use included youth aged 26-30 years (adjusted odds ratio [AOR] = 5.5, 95% confidence interval [CI]: 2.7-10.7), current smokeless tobacco use (AOR = 3.2, 95% CI: 2.0-5.1), smoking (AOR = 7.7, 95% CI: 4.8-12.3), and smokeless tobacco dependence (AOR = 3.2, 95% CI: 1.4-7.1), consumption of burgers/pasta (AOR = 3.9, 95% CI: 1.7-8.9) and carbonated drinks (AOR = 1.5, 95% CI: 1.0-2.3), engagement in premarital/extramarital sexual relationships (AOR = 6.4, 95% CI: 3.2-12.9), experiencing physical violence (AOR = 5.1, 95% CI: 2.5-10.3), suicidal behaviors (AOR = 7.7, 95% CI: 2.2-25.9), and having peers who drink alcohol (AOR = 6.8, 95% CI: 4.6-10.2). Conversely, protective factors included being unemployed, engaging in free-time activities, and migrant status.

CONCLUSION: The study highlights the complex interplay of sociodemographic, behavioral, and social factors influencing alcohol use patterns among youth and underscores the need for targeted interventions in this population.

PMID:42205378 | PMC:PMC13209978 | DOI:10.4103/jehp.jehp_386_25

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