Alcohol Dependence Among Adult Males in Chengalpattu District, South India: A Mixed Methods Study

被引:0
作者
Baskaran, Gayathri [1 ]
Eashwar, Anantha V. M. [1 ]
Stephen, T. [1 ]
Priya, Meena S. [1 ]
Surathkumaar, Hariharan [1 ]
Latha, Charu [2 ]
机构
[1] Sree Balaji Med Coll & Hosp, Community Med, Chennai, India
[2] Dr MGR Educ & Res Univ, Prevent Med, Chennai, India
关键词
substance recreational use; insomnia disorder; job stress; peer pressure; suicide and depression; alcohol dependence; MAJOR DEPRESSION; SUBSTANCE USE; DISORDERS; COMORBIDITY; MORBIDITY; DRINKING; DRINKERS; MEN;
D O I
10.7759/cureus.66624
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Post-pandemic alcohol consumption is on the rise due to people starting to adapt themselves to the practice of consuming alcoholic beverages at home. In addition to the direct effects of intoxication and addiction, estimates suggest that alcohol contributes to approximately 20-30% of global cases of oesophagal cancer, liver cancer, cirrhosis of the liver, homicide, epilepsy, and motor vehicle accidents. In India, one-fifth of alcohol consumers were found to be alcohol dependent. The study was done with the primary objective of finding out the prevalence of alcohol dependence among alcohol users and exploring the reasons for alcohol dependence among alcohol users in an urban area of Chengalpattu District, Tamil Nadu. Methodology The study design is an explanatory sequential mixed-methods study. It was done among 624 adult male alcohol consumers in the Chennai district, selected by the cluster sampling method in a community setting. The Alcohol Use Disorders Identification Test (AUDIT) was used to diagnose alcohol dependence. Using the purposive sampling method, in-depth interviews were conducted among 24 alcohol-dependent people to explore and understand their experiences, identify common themes, and provide insights into the problem. Quantitative data were analysed using Statistical Package for Social Sciences (SPSS) version 26 (IBM Corp., Armonk, NY), and qualitative data were analysed using deductive content analysis using Qualcoder software. Results The mean age of the study participants was 38 +/- 7 years. Among current alcohol consumers, 16.9% (106/624) were found to be suffering from alcohol dependence. The significant predictors of alcohol dependence were found to be unskilled occupation (adjusted odds ratio [AOR] = 2.09), having suicidal ideation (AOR = 2.4), alcohol consumption by family members (AOR = 1.90), depression (AOR = 3.98), drinking pattern-affected interpersonal relationships (AOR = 2.29), and not receiving health education about alcohol use in school/college (AOR = 1.74). The major themes and codes identified among alcohol dependents were factors related to mental health, physical health, and social factors. Conclusion This study provides essential points of reference for policymakers and primary care physicians to develop prevention strategies for people to understand and overcome the problem of alcohol addiction, and it also sheds light on the burden of alcohol dependence and their lived experiences.
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