在女学生中预测带有焦虑和抑郁的月经前综合征 (PMS)
Huansheng Li1, Mandana Sarokhani2, Mohammad Hossein Sahami Gilan3
1Zhejiang Institute of Economics and Trade, Hangzhou City, Zhejiang Province, China.
BMC psychiatry
|August 19, 2025
概括
这项研究发现,抑郁和焦虑的增加显著增加了月经前综合征 (PMS) 的风险. 建议将心理健康查整合到PMS管理中,以获得生育年龄妇女更好的结果.
科学领域:
- 生殖健康 生殖健康
- 心理健康 心理健康
- 流行病学 流行病学
背景情况:
- 月经前综合征 (PMS) 是一种常见的疾病,影响生殖年龄的女性,其特点是情绪,身体和行为症状.
- 焦虑和抑郁等心理因素显著加剧了PMS.
- 这项研究调查了PMS严重程度的预测因素.
研究的目的:
- 使用统计建模来确定月经前综合征 (PMS) 的关键预测因素.
- 在学生群体中评估心理健康状况和PMS严重程度之间的关系.
- 评估顺序逻辑回归 (OLR) 对于分析PMS结果的实用性.
主要方法:
- 在伊朗伊拉姆市,对624名女大学生进行了横截面调查.
- 使用了抑郁焦虑压力表 (DASS-42) 和月经前症状查工具 (PSST).
- 使用顺序逻辑回归 (OLR) 模型,根据测量变量预测PMS.
主要成果:
- 低度,中度和重度PMS的患病率分别为33.4%,52%和14.6%.
- 在PMS得分和抑郁/焦虑得分之间观察到显著的正相关性 (P < 0.001).
- 增加的抑郁 (OR=1.41) 和焦虑 (OR=1.51) 与更高的PMS风险有关,而更多的睡眠时间 (OR=1.40) 是PMS严重性的风险因素.
结论:
- 心理健康查,可能使用像DASS-42这样的工具,应该整合到PMS管理协议中.
- 顺序逻辑回归 (OLR) 是一种强大的统计方法,用于建模顺序PMS结果.
- 研究结果支持针对患有PMS的生育年龄妇女进行有针对性的干预,同时考虑心理因素.
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