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青少年学生中抑郁和焦虑的早期预警模型:基于吉林的经验研究
Qingpo Ma1, Xuemei Xu1, Lin Lu1
1School of Economics and Management, Guangxi Normal University, Guilin, China.
Frontiers in public health
|January 23, 2026
概括
这项研究分析了吉林青少年的抑郁和焦虑,发现患病率分别为17.83%和19.13%. 学业压力,家庭适应能力和恢复力显著影响这些心理健康状况.
科学领域:
- 心理健康研究 心理健康研究
- 青少年心理学 青少年心理学
- 流行病学 流行病学
背景情况:
- 在全球范围内,青少年心理健康问题越来越令人担忧.
- 中国的吉林省缺乏关于年轻人抑郁和焦虑患病率的具体数据.
- 早期识别和干预模式对于处于风险中的青少年至关重要.
研究的目的:
- 为了确定林青少年学生中抑郁和焦虑的发生情况.
- 在这个人群中开发和验证抑郁和焦虑早期预警预测模型.
主要方法:
- 采用多层采样方法,调查了林1150名中高中生.
- 使用了医院焦虑和抑郁量表 (HADS) 和其他问卷.
- 数据被分为培训 (920) 和验证 (230) 套,用于模型开发和测试.
主要成果:
- 抑郁和焦虑的患病率在训练组中为17.83%,在验证组中为19.13%.
- 后勤回归确定了学业压力,家庭适应与凝聚力量表 (FACESCV) 和康纳-戴维森弹性量表 (CDRISC) 分数作为重要的影响因素.
- 诺莫格拉姆预测模型实现了80.25%的灵敏度,80.09%的特异性和0.849.9的AUC.
结论:
- 吉林的青少年面临着严重的抑郁和焦虑风险.
- 学业压力,家庭凝聚力和弹性是影响青少年心理健康的关键因素.
- 开发的预测模型在识别有风险的学生方面表现出良好的有效性.
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