在5002名妇女中对围产期抑郁症的纵向症状网络分析:从怀孕到产后的动态视角
Zhuo Peng1, Mi Wang2, Linhua Geng3
1Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Journal of affective disorders
|December 21, 2025
概括
周产期抑郁症症状,特别是焦虑和睡眠问题,在怀孕期间加剧. 教育和婚姻满意度等关键因素影响症状严重程度,指导临床干预.
科学领域:
- 围产期心理健康问题
- 精神病学中的网络分析.
- 纵向队列研究是指纵向队列研究.
背景情况:
- 调查怀孕和产后抑郁症状的时间动态.
- 使用网络分析来理解症状的相互关系.
研究的目的:
- 探索围产期抑郁症状的关联和动态.
- 通过网络分析来识别中心症状和方向关系.
- 开发一个对围产期抑郁症的预测模型.
主要方法:
- 深宝安妇女儿童医院的纵向研究 (2020年1月至2024年1月).
- 爱丁堡产后抑郁量表 (EPDS) 用于症状评估.
- 多层混合效应模型 (MLM) 和网络分析 (节点强度,交叉滞后面板建模).
主要成果:
- 5002名参与者;抑郁症状的患病率从18.03% (第一季度) 降至1.70% (产后).
- 高等教育,收入,婚姻满意度,年龄较大和平等程度与较少的抑郁症状相关.
- 焦虑/忧虑 (EPDS4),恐惧/恐慌 (EPDS5) 和睡眠困难 (EPDS7) 在怀孕期间变得更有影响力;自责 (EPDS3) 和悲伤 (EPDS8) 预测了焦虑的出现.
结论:
- 确定了围产期抑郁症的关键风险因素和动态症状变化.
- 焦虑,睡眠问题和自责是围产期抑郁网络中的关键节点.
- 结果为有针对性的临床干预策略提供了见解,尽管概括性受到样本特征的限制.
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