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亟待重视的突出心理健康议题，社交媒体使用日益普及等多重因素进一步加剧了相关问题的严峻性。本数据集旨在调研青少年群体中上述三类心理健康问题的分布特征与流行模式。本研究采用横断面研究设计，共纳入819名13至19岁的青少年作为研究对象，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次与类型相关信息。本数据集采用网络成瘾量表（Internet Addiction Test, IAT）、加州大学洛杉矶分校孤独量表（第3版，UCLA Loneliness Scale Version 3）以及患者健康问卷9项版（Patient Health Questionnaire-9, PHQ-9）分别对网络成瘾、孤独感与抑郁症状进行量化评估，并据此采集相关数据。问卷内容涵盖青少年生活与行为相关的多维度变量，包括社会人口学特征、科技与媒体使用行为、生活方式以及学业相关变量。研究人员可依托本数据集高效开展以下工作：评估网络成瘾、孤独感与抑郁症状的流行率；开展探索性数据分析（Exploratory Data Analysis, EDA）以挖掘有价值的研究洞察；构建不同变量间的关联并提出研究假设；以及通过推断性统计分析得出严谨的研究结论。本数据集同时可为相关利益相关方提供详实的数据支撑，助力其制定针对性干预方案与监管规范，以缓解青少年群体的上述心理健康问题。