MHP (Anxiety, Stress, Depression) Dataset of University Students

Research in assessing the Mental Health Problems (MHPs), e.g., stress, anxiety, and depression of university students has had much interest worldwide for the last decade. This article provides a large and comprehensive dataset concerning the MHPs of 2028 students from 15 top-ranked universities in Bangladesh, including 9 government/public universities and 6 private universities. To collect the data, the GAD-7 (for Anxiety), PSS-10 (for Stress), and PHQ-9 (for Depression) models are adopted to reflect equivalent academic perspectives. Additionally, student sociodemographic data are collected. The adoption of these three models are done by a team of five professors and a student psychologist to best capture the academic and socio-demographic factors that influence MHPs among university students. To conduct the survey, a google form is developed and circulated among the 15 faculty representatives from the participating universities who further circulated and conducted the survey with the students. Collected data is evaluated to ensure the sufficiency of sample size, and internal consistency and reliability of the response. Furthermore, the levels of anxiety, stress, and depression are calculated using the data to demonstrate its' applicability. This dataset can be used to measure the trajectory of students’ the mental and psychosocial stressors, to adopt required mental health and counselling services, and to conduct data intensive Machine Learning (ML) model development to predictive MPH assessment.

近十年来，全球范围内针对大学生心理健康问题（Mental Health Problems, MHPs）——包括压力、焦虑与抑郁——的评估研究广受关注。本文构建了一个大规模且全面的数据集，覆盖孟加拉国15所顶尖高校的2028名学生的心理健康相关数据，其中包含9所公立大学与6所私立大学。本次数据采集采用GAD-7（焦虑评估量表）、PSS-10（压力评估量表）与PHQ-9（抑郁评估量表）三种标准化工具，以保证学术评估视角的统一性。此外，数据集还收录了学生的社会人口学相关数据。上述三类量表的施测工作由5名教授与1名学生心理学家组成的团队完成，旨在精准捕捉影响大学生心理健康问题的学术与社会人口学相关因素。本次调研通过谷歌表单（Google Form）开展，首先向参与调研的15所高校的教师代表发放问卷，再由其向所属学生群体分发并组织完成调研。已采集的数据集已通过样本量充足性检验、问卷内部一致性检验与应答信度检验。进一步地，本研究通过该数据集计算得到焦虑、压力与抑郁的严重程度，以展示其实际应用价值。本数据集可用于研判学生心理与社会心理压力源的发展轨迹，辅助制定并实施针对性心理健康服务与咨询方案，亦可用于开展数据密集型机器学习（Machine Learning, ML）模型开发，以实现心理健康问题的预测性评估。

搜集汇总

背景与挑战

背景概述

该数据集包含2028名来自孟加拉国15所顶尖大学的学生的心理健康数据，涵盖焦虑、压力和抑郁三个方面，使用GAD-7、PSS-10和PHQ-9模型进行评估，并包含社会人口统计学信息。数据集适用于心理健康研究、咨询服务及机器学习模型开发。