Insights into Drug Addiction in Bangladesh: A Multidimensional Dataset

This dataset provides a comprehensive exploration of the factors influencing drug addiction in Bangladesh. It includes 36 columns covering demographic, socioeconomic, psychological, and behavioral aspects of individuals, both drug-addicted and non-addicted. Key features include age, gender, education level, employment status, family structure, reasons for addiction, mental health status, physical health, and experiences such as trauma or failure in life.

The dataset also examines relationships with family and peers, living arrangements, drug-use history, and external influences like friends and family history of drug use. Additionally, it highlights health-related aspects such as sleep quality, eating habits, mental/emotional health, and the prevalence of suicidal thoughts.

This dataset is ideal for researchers studying addiction patterns, behavioral factors, and socioeconomic impacts. It can support predictive modeling, comparative analyses, and public health interventions aimed at mitigating drug addiction.

本数据集对影响孟加拉国药物成瘾的诸多因素进行了全面而深入的探讨。其中包含36个维度，涵盖个体的人口统计、社会经济、心理和行为等方面，既包括药物成瘾者，也包括非成瘾者。关键特征包括年龄、性别、教育程度、就业状况、家庭结构、成瘾原因、心理健康状况、身体健康状况以及生活经历，如创伤或生活失败等经历。此外，数据集还考察了与家庭和同侪的关系、居住安排、药物使用历史以及朋友和家庭成员的药物使用史等外部影响因素。同时，它还突出了与健康相关的方面，如睡眠质量、饮食习惯、心理/情绪健康以及自杀意念的普遍性。本数据集对于研究成瘾模式、行为因素及社会经济影响的研究者而言，尤为理想。它可以支持预测建模、比较分析以及旨在减轻药物成瘾的公共卫生干预措施。