Mental health dataset in medical students: state anxiety, trait anxiety, and depression (Mexico, 2024)

This dataset contains information on mental health in medical students in Mexico during 2024. It includes variables related to state and trait anxiety, assessed using the State-Trait Anxiety Inventory, as well as depressive symptoms measured with the Zung Self-Rating Depression Scale.

The study follows an observational, cross-sectional design and includes medical students from a higher education institution. Sociodemographic variables such as age, biological sex, gender identity, and academic year were collected, along with total and categorized scores from psychometric instruments.

Data were anonymized, cleaned, and structured in tabular format to support statistical analysis and reuse in research on medical education and mental health. The dataset was developed under open data principles, promoting reproducibility and secondary analysis.

Anxiety was measured using the STAI/IDARE, which evaluates state anxiety (transient condition) and trait anxiety (stable tendency), with 20 items per subscale. Depression was assessed using the Zung Self-Rating Depression Scale (20 items). Scores were calculated according to instrument guidelines and categorized into standardized levels.

Ethically, data were collected with informed consent and institutional approval. The dataset does not contain identifiable personal information and adheres to confidentiality and responsible data use principles.

本数据集收录了2024年墨西哥医学生的心理健康相关信息，包含采用状态-特质焦虑量表（State-Trait Anxiety Inventory）评估的状态焦虑与特质焦虑相关变量，以及采用津格自评抑郁量表（Zung Self-Rating Depression Scale）测量的抑郁症状相关指标。

本研究采用观察性横断面设计，研究对象为某高等教育机构的医学生。研究收集了年龄、生理性别、性别认同、学年等社会人口学变量，以及各类心理测评工具的总分与分类评分。

数据集已完成匿名化处理、数据清洗，并以表格格式结构化存储，可支持医学教育与心理健康领域研究的统计分析与二次复用。本数据集遵循开放数据原则构建，旨在提升研究的可重复性与二次分析可行性。

焦虑测评采用状态-特质焦虑量表（STAI/IDARE），该量表包含两个分量表，各含20个条目，分别评估状态焦虑（一过性情绪状态）与特质焦虑（稳定人格倾向）；抑郁测评采用津格自评抑郁量表（Zung Self-Rating Depression Scale），共包含20个条目。所有评分均按照测评工具的指导手册进行计算，并划分为标准化等级。

伦理层面，本研究的数据收集已获得受试者知情同意与机构伦理审查批准。数据集不包含可识别的个人信息，严格遵循数据保密与负责任使用原则。