针对西班牙大学生个性化预测心理健康问题的经验采样方法:在PROMES-U项目中进行基于调查的观察性研究的协议
Ana Portillo-Van Diest1,2, Laura Ballester Coma1,2, Philippe Mortier3,2
1Health Services Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona, Spain.
BMJ open
|July 14, 2023
概括
大学学生面临许多心理健康问题. 本研究使用经验采样方法 (ESM) 通过分析短期动态因素来预测心理健康问题,改善学生的早期发现和干预.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 流行病学 流行病学
- 数字健康数字健康
背景情况:
- 心理健康问题在大学生中非常普遍,需要改善预测和获得护理.
- 通过经验采样方法 (ESM) 评估的短期动态因素显示出预测这一人口群体中心理健康问题的前景.
研究的目的:
- 研究通过ESM收集的短期动态因素在预测大学生心理健康问题的有用性.
- 开发和验证大学人群中心理健康问题的预测模型.
- 确定学生心理健康问题的个人和人口层面的风险因素.
主要方法:
- 这是一项纵向研究,涉及来自西班牙五所大学的本科生.
- 两个基于网络的调查 (基线和12个月后续) 收集关于远端风险因素的数据.
- 一项为期15天的经验采样方法 (ESM) 研究,评估影响,公司和环境等短期动态因素.
主要成果:
- 对远距离和短期动态因素的分析,以确定个人和人口层面的风险因素.
- 机器学习技术的应用,用于构建心理健康问题的预测模型.
- 使用动态结构方程建模和多层混合效应模型探索解释模型.
结论:
- 经验采样方法 (ESM) 为了解和预测大学生心理健康挑战提供了一种有价值的方法.
- 这些发现将为制定有针对性的干预措施和大学心理健康政策提供信息.
- 这项研究有助于更好地了解动态因素与学生心理健康之间的相互作用.
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