职业学院学生的自杀风险特征:潜伏的个人资料分析
1Department of Student Affairs, Sichuan College of Architectural Technology, Chengdu, China.
PloS one
|October 31, 2025
概括
这项研究通过使用隐性个人资料分析 (LPA) 在职业教育学生中确定了三种自杀风险概况. 研究结果支持针对高,中和低自杀风险群体量身定制的干预措施.
科学领域:
- 心理学 心理学 心理学
- 心理健康研究 心理健康研究
- 教育心理学教育心理学
背景情况:
- 大学职业学生面临着影响心理健康的独特压力因素.
- 了解自杀风险异质性对于有效预防至关重要.
- 压力诊断模型为检查自杀风险因素提供了一个框架.
研究的目的:
- 研究职业学院学生中自杀风险概况的异质性.
- 根据压力,症状,特征和保护因素来识别不同的子组.
- 为制定有针对性的自杀预防策略提供信息.
主要方法:
- 隐形形状分析 (LPA) 用于对1620名高风险职业学院学生进行分类.
- 经过验证的仪器评估了负面的生活事件,心理症状,神经症,不良童年经历和社会支持.
- 统计分析发现了不同的自杀风险概况.
主要成果:
- 确定了三个不同的风险概况:高风险 (17.4%),中等风险 (46.5%) 和低风险 (36.1%).
- 高风险组:严重的症状,自杀的准备,功能障碍.
- 中等风险组:神经病,绝望,中间症状. 低风险组:强大的社会支持,心理病理学最小.
- 负面的生活事件,抑郁症状和神经症预测了自杀风险;社会支持是保护性的.
结论:
- 这些发现支持压力-诊断模型和LPA在识别自杀风险异质性的有用性.
- 一个三方分类系统为分层的校园心理健康干预提供了可操作的见解.
- 建议包括危机管理,弹性建设和针对风险水平的预防性支持.
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