Early Intervention Unit, Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Sci Data. 2024 Sep 27;11(1):1046. doi: 10.1038/s41597-024-03888-8.
The growing prevalence of mental health issues underscores the need for innovative screening methods. Large-scale, internet-based psychological screening has emerged as a vital tool to accurately determine morbidity rates and facilitate early diagnosis of mental disorders. However, conventional psychological screening methods often struggle with non-genuine responses and lack objective metrics. To bridge this gap, we have compiled a novel dataset derived from an expansive screening initiative at Xinxiang Medical University. The study, conducted from February 27 to March 17, 2021, yielded a dataset comprising responses from 24,292 students to four well-established psychological scales-PHQ-9, GAD-7, ISI, and PSS. A distinctive feature of this dataset is the inclusion of response time data, which captures the temporal dynamics of participants' interactions with the scales, offering valuable insights into their response behaviour. The release of this dataset offers a substantial opportunity for researchers in the domains of psychology and public health to explore new insights into mental health, scale reliability, and the dynamics of psychological assessment.
心理健康问题的日益普遍凸显了创新筛选方法的必要性。基于互联网的大规模心理筛查已成为准确确定发病率和促进精神障碍早期诊断的重要工具。然而，传统的心理筛查方法往往难以应对非真实响应，且缺乏客观指标。为了弥补这一差距，我们从新乡医学院的一项广泛筛查计划中编制了一个新颖的数据集。该研究于 2021 年 2 月 27 日至 3 月 17 日进行，生成了一个包含 24292 名学生对四个成熟心理量表（PHQ-9、GAD-7、ISI 和 PSS）的反应的数据集。该数据集的一个独特特点是包含了响应时间数据，该数据捕获了参与者与量表交互的时间动态，为他们的响应行为提供了有价值的见解。该数据集的发布为心理学和公共卫生领域的研究人员提供了一个重要机会，可以深入探讨心理健康、量表可靠性和心理评估动态等方面的新见解。
