Prediction of Postpartal Depression (PDD): A longitudinal, multimodal approach

产后抑郁症 (PDD) 的预测：纵向、多模式方法

• 批准号: 410314797
• 负责人: Professorin Dr. Natalya Chechko
• 金额: --
• 依托单位: Klinik für Psychiatrie, Psychotherapie und Psychosomatik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/410314797?language=en
• 关键词: Prediction; Postpartal; Depression; PDD; longitudinal

The overarching goal of this project is to explore whether individual predictions of postpartal depression (PPD) development are feasible based on the socio-demographic, clinical-anamnestic, hormonal (hair cortisol, estrogen and progesterone levels) and neuroimaging data obtained before obstetrics inpatients are discharged following childbirth.

该项目的总体目标是探讨基于社会人口学、临床记忆、激素（毛发皮质醇、雌激素和孕激素水平）和产科住院患者分娩出院前获得的神经影像学数据，对产后抑郁症（PPD）发展的个体预测是否可行。