Debnath Aninda, Verma Anita, Gupta Priyansha, Jindal Sneha
Department of Community Medicine, VMMC and Safdarjung Hospital, New Delhi, India.
Indian J Community Med. 2025 Jan-Feb;50(1):43-47. doi: 10.4103/ijcm.ijcm_596_23. Epub 2024 Dec 4.
Amid the global concern over alcohol consumption's ramifications for public health, the escalating prevalence of alcohol misuse among young individuals, especially students, is alarming. This study examines the prevalence of alcohol use disorder (AUD) among medical students, exploring its link to depression, anxiety, and socioeconomic factors.
We conducted this cross-sectional study at a medical college in New Delhi in the month of June, 2023. We determined a sample size of 425 using prevalence estimates for AUD, a 4% margin of error, and a 15% nonresponse rate. We selected participants using simple random sampling from the MBBS enrollment list and provided them with self-administered questionnaires. We utilized validated screening tools, including PHQ-9, GAD-7, AUDIT-C, and CAGE, to assess depression, anxiety, and AUD. Statistical analysis was performed using STATA 18. AUD prevalence was presented with 95% confidence intervals. Associations between AUD and variables were examined using Chi-square tests. Significant variables ( < 0.2) in univariate analysis were considered in multivariate logistic regression ( < 0.05).
In our study, 413 students participated. The prevalence of AUD was 13.6%, depression was 31.5%, and anxiety was 24.2%. Univariate and multivariate logistic regression revealed significant associations between AUD and factors such as gender, current living space, tobacco use, and anxiety.
The current study highlights worrisome levels of AUD, depression, and anxiety among medical students in New Delhi. Our research also reveals connections between AUD and factors like gender, living situation, tobacco use, and anxiety.
在全球对酒精消费对公众健康影响的关注中,年轻人尤其是学生中酒精滥用患病率的不断上升令人担忧。本研究调查了医学生中酒精使用障碍(AUD)的患病率,探讨其与抑郁、焦虑和社会经济因素的联系。
2023年6月,我们在新德里的一所医学院进行了这项横断面研究。我们使用AUD患病率估计值、4%的误差幅度和15%的无应答率确定了425人的样本量。我们从医学学士注册名单中使用简单随机抽样选择参与者,并为他们提供自填式问卷。我们使用经过验证的筛查工具,包括PHQ-9、GAD-7、AUDIT-C和CAGE,来评估抑郁、焦虑和AUD。使用STATA 18进行统计分析。AUD患病率以95%置信区间呈现。使用卡方检验检查AUD与变量之间的关联。单因素分析中显著的变量(<0.2)在多因素逻辑回归中进行考虑(<0.05)。
在我们的研究中,413名学生参与。AUD患病率为13.6%,抑郁患病率为31.5%,焦虑患病率为24.2%。单因素和多因素逻辑回归显示AUD与性别、当前居住空间、烟草使用和焦虑等因素之间存在显著关联。
当前研究突出了新德里医学生中令人担忧的AUD、抑郁和焦虑水平。我们的研究还揭示了AUD与性别、生活状况、烟草使用和焦虑等因素之间的联系。