A data set exploring the link and associated factors of internet addiction, loneliness, and depression among adolescents in Bangladesh

Recently, internet addiction, loneliness, and depression have emerged as significant concerns among adolescents, exacerbated by the increasing use of social media and other factors. This dataset aimed to evaluate the patterns of these issues among adolescents. Utilizing a cross-sectional design, data were collected from 819 adolescents (65.2% female and 34.8% male) aged 13 to 19. The dataset includes information on the frequency and type of internet addiction (IA), loneliness, and depression among the participants. The dataset gathered data using the Internet Addiction Test (IAT) scale, UCLA Loneliness Scale (Version 3), and Patient Health Questionnaire (PHQ-9) scale to measure IA, loneliness, and depression. The questionnaire covers a wide range of adolescents’ lives and actions-related variables, such as sociodemographic information, technology, and media uses behavioral and lifestyle as well as academic variables. A researcher can effectively utilize the data set to assess the prevalence rate of IA, loneliness, and depression; generate meaningful insights, follow explanatory data analysis (EDA), formulate a hypothesis and relationship between different variables, and conduct inferential statistics to conclude. The dataset also offers useful information to stakeholders so they may create plans and regulations to lessen these mental health issues.

近年来，网络成瘾、孤独感与抑郁已成为青少年群体中备受关注的重要心理健康问题，社交媒体使用频次的攀升及其他相关因素进一步加剧了这一现状。本数据集旨在调研青少年群体中上述三类心理问题的分布特征。本研究采用横断面研究设计，共收集了819名13至19岁青少年的相关数据，其中女性占比65.2%，男性占比34.8%。数据集涵盖了研究对象的网络成瘾（Internet Addiction, IA）、孤独感及抑郁症状的发生频率与类型相关信息。数据采集阶段采用了网络成瘾测验（Internet Addiction Test, IAT）、加州大学洛杉矶分校孤独感量表（UCLA Loneliness Scale，第3版）以及患者健康问卷（Patient Health Questionnaire, PHQ-9）分别对网络成瘾、孤独感与抑郁症状进行量化评估。本次调研问卷涵盖了与青少年生活及行为相关的多类变量，包括社会人口学信息、科技与媒介使用行为、生活方式及学业相关变量。研究人员可借助本数据集有效评估网络成瘾、孤独感与抑郁的患病率，开展探索性数据分析（Exploratory Data Analysis, EDA）以获取有价值的研究洞察，构建研究假设与不同变量间的关联，并通过推论统计完成最终推断。本数据集同时可为相关利益方提供详实数据支撑，助力其制定针对性方案与规范，以缓解青少年群体的上述心理健康问题。