使用递归分区来预测大学生中自杀念头的存在和严重程度
Matison W McCool1, Frank J Schwebel1, Matthew R Pearson1
1Center on Alcohol, Substance use, and Addictions, University of New Mexico, Albuquerque, New Mexico, USA.
Journal of American college health : J of ACH
|May 10, 2024
概括
在大学生中预测自杀念头至关重要. 一个DSM-5的症状测量有效地确定了自杀风险,性取向也是一个关键因素.
科学领域:
- 精神病学是一个精神病学.
- 心理健康研究 心理健康研究
- 临床心理学 临床心理学
背景情况:
- 在过去的二十年中,年轻成年人的自杀率有所上升.
- 准确预测自杀念头对于大学人口的及时干预至关重要.
研究的目的:
- 预测大学生中自杀念头的存在和严重程度.
- 评估不同预测模型对自杀念头的有效性.
主要方法:
- 招募了来自十所大学的5494名大学生.
- 对终身和过去一个月的自杀想法进行了问卷调查.
- 利用递归分区来分析预测因素和结果.
主要成果:
- 递归分区模型表现出不同的精度.
- 最有效的模型结合了DSM-5第1级交叉切割症状测量中的预测因素和结果.
- 在大多数模型中,性取向成为一个重要的预测因素.
结论:
- 一个单一的DSM-5症状严重程度测量可以帮助大学评估自杀风险.
- 这一措施可能有助于为大学生制定有针对性的干预措施.
- 建议进行进一步的研究,以改进模型并解决潜在的缩放影响.
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