Gender differences in alcohol abuse/dependence among medical undergraduates during the post-COVID‑19 pandemic period (October 20, 2020-April 5, 2021) in China

BMC Psychiatry. 2023 Oct 16;23(1):753. doi: 10.1186/s12888-023-05260-3.

Abstract

Background: This study aimed to assess the prevalence and the gender-specific risk factors of alcohol abuse/dependence among medical undergraduates during the post-COVID‑19 pandemic period in China.

Method: The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) was used to identify respondents with alcohol abuse/dependence. A questionnaire on basic demographics and mental distresses (learning burnout, depression symptoms, anxiety symptoms, excessive daytime sleepiness, and history of mental disorders) was used. The logistic regression model was used to explore the associations between the above characteristics and alcohol abuse/dependence.

Results: A total of 3,412 medical undergraduates were included in the analysis. Males showed a higher prevalence of alcohol abuse/dependence than females (16.6% vs 7.4%, p < 0.001). Alcohol abuse/dependence was associated with learning burnout (OR: 2.168, p < 0.001) and having a partner (OR: 1.788 p = 0.001) among female medical undergraduates. Among male medical undergraduates, excessive daytime sleepiness (OR: 1.788 p = 0.001) and older age (OR: 1.788, p = 0.001) were independently associated with alcohol abuse/dependence.

Conclusion: Alcohol abuse/dependence was common among medical undergraduates during the post-COVID‑19 pandemic period. Substantial gender differences in the prevalence and risk factors of alcohol abuse/dependence were found among medical undergraduates in this study, which highlighted the need for timely gender-specific screening and interventions. However, the cross-sectional design adopted in this study has limited the examination of causality, thus further longitudinal studies are warranted.

Keywords: Alcohol abuse/dependence; Anxiety; Gender differences; Learning burnout; The coronavirus disease 2019.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alcoholism* / diagnosis
  • Alcoholism* / epidemiology
  • COVID-19* / epidemiology
  • Cross-Sectional Studies
  • Disorders of Excessive Somnolence* / epidemiology
  • Female
  • Humans
  • Male
  • Pandemics
  • Prevalence
  • Sex Factors