大学生自杀风险的发展轨迹:一个为期三年的潜增长混合模型研究
Liu Zhuojun1, Liu Mian1, Zhang Zhifang1
1Mental Health Education and Counseling Center, Dongguan University of Technology, Dongguan, Guangdong, China.
Frontiers in psychology
|June 23, 2025
概括
随着时间的推移,大学生自杀风险有很大的变化,大多数显示风险下降,但有些增加. 女性性别,心理压力和社会因素,如被遗弃的经历,是增加自杀风险的关键风险因素.
科学领域:
- 精神病学是一个精神病学.
- 发展心理学 发展心理学
- 公共卫生 公共卫生
背景情况:
- 大学生自杀的风险是一个重要的公共卫生问题.
- 了解自杀风险的动态性质对于有效预防至关重要.
- 以前的研究还没有完全阐明这个人群中自杀风险的发育轨迹.
研究的目的:
- 研究一年级大学生自杀风险发展的纵向模式.
- 确定影响这些自杀风险轨迹的人口,心理和社会因素.
- 为大学生制定有针对性的自杀预防策略提供信息.
主要方法:
- 一项为期三年的随访研究,涉及中国广东省3723名一年级大学生.
- 数据收集使用了自杀行为调查问卷修订 (SBQ-R),大学人格清单 (UPI) 和自我评价抑郁症量表 (SDS).
- 隐性增长混合建模 (LGMM) 应用于分析自杀风险轨迹.
主要成果:
- 发现了三种不同的自杀风险轨迹:缓慢下降 (81.1%),缓慢增加 (15.7%),快速增加 (3.2%).
- 较高自杀风险轨迹的显著风险因素包括女性性别,留下的经历,家庭自杀史,积极的心理症状和抑郁症状.
- 所有确定的风险因素均具有统计学意义 (p < 0.05).
结论:
- 大学生自杀风险随着时间的推移而表现出相当大的异质性.
- 针对特定风险概况量身定制的个性化干预策略对于有效预防自杀至关重要.
- 解决人口,心理和社会决定因素对于减轻这个脆弱人群中自杀风险至关重要.
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