在大学本科生中检测心理健康问题的可能危险因素的标准
Daiki Ishimaru1, Hiroyoshi Adachi1,2, Teruhiro Mizumoto3
1Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
Frontiers in psychiatry
|July 17, 2023
概括
在大学生中早期发现心理健康风险至关重要. 较低的学习参与度,睡眠不足和不经常的饮食预测了更高的风险,使得及时的支持成为可能.
科学领域:
- 心理健康研究 心理健康研究
- 学生福利 学生福利
- 公共卫生干预 公共卫生干预
背景情况:
- 在大学生中早期发现心理健康问题至关重要,以减少未经治疗的疾病的持续时间.
- 对于学生之间需要照顾的指标的理解有限.
- 早期识别有风险的学生可以促进及时的干预和支持.
研究的目的:
- 确定学习参与和生活习惯的预测价值,以识别有风险的本科生.
- 澄清在大学人口中早期发现心理健康问题的具体指标.
- 为学生心理健康制定有针对性的支持策略提供信息.
主要方法:
- 一项涉及1644名本科生的横截面研究.
- 使用学生的乌得勒支工作参与度表 (UWES-S-J) 来评估学习参与度.
- 收集了关于睡眠时间,食频率,抑郁和疲劳的数据,使用后勤回归和ROC曲线分析.
主要成果:
- 30.1%的学生被归类为精神健康问题的高风险.
- 较低的研究参与度 (UWES-S-J<37.5),周日睡眠时间<6小时,食频率<2.5次/天是显著的预测因素.
- 对于这些变量,ROC分析显示了具有显著灵敏度和特异性的特定切断点.
结论:
- 学术人员可以利用学习参与度,睡眠时间和食频率作为早期心理健康风险检测指标.
- 实施这些标准可以帮助识别需要支持的学生,以减少未经治疗的疾病的持续时间.
- 积极的识别和干预是改善本科生心理健康结果的关键.
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