Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective: This study aimed to estimate the prevalence of alcohol consumption among current Chinese young adults through latent class analysis. Methods: A total of 203 samples from various regions in China reported their alcohol use, which was assessed using the Alcohol Use Disorder Identification Test (AUDIT). Latent class analysis and multinomial logistic regression were used to identify drinking patterns and their association with alcohol-related problems. Result: The prevalence of alcohol consumption and problematic alcohol consumption 79.3% was and 25.1%, respectively. The latent class analysis revealed that a three-class model, including one heavy consumption group, one moderate consumption group and one light consumption group, best represented the participants' alcohol use patterns. Conclusion: The findings indicate a significant prevalence of alcohol use and a strong correlation between drinking patterns and psychological factors.
Source: Journal of Student Research
Author: Jiayang Dou
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4413564783