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首页> 外文期刊>Quantum electronics >Are there temporal subtypes of premenstrual dysphoric disorder?: using group-based trajectory modeling to identify individual differences in symptom change
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Are there temporal subtypes of premenstrual dysphoric disorder?: using group-based trajectory modeling to identify individual differences in symptom change

机译:是否有颞次疑似紊乱的时间亚型?:使用基于组的轨迹建模以确定症状变化的个体差异

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Background Premenstrual dysphoric disorder (PMDD) is a new Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 diagnosis characterized by the cyclical emergence of emotional and physical symptoms in the luteal phase of the menstrual cycle, with symptom remission in the follicular phase. Converging evidence highlights the possibility of distinct subtypes of PMDD with unique pathophysiologies, but temporal subgroups have yet to be explored in a systematic way. Methods In the current work, we use group-based trajectory modeling to identify unique trajectory subgroups of core emotional and total PMDD symptoms across the perimenstrual frame (days -14 to +9, where day 0 is menstrual onset) in a sample of 74 individuals prospectively diagnosed with DSM-5 PMDD. Results For the total daily symptom score, the best-fitting model was comprised of three groups: a group demonstrating moderate symptoms only in the premenstrual week (65%), a group demonstrating severe symptoms across the full 2 weeks of the luteal phase (17.5%), and a group demonstrating severe symptoms in the premenstrual week that were slow to resolve in the follicular phase (17.5%). Conclusions These trajectory groups are discussed in the context of the latest work on the pathophysiology of PMDD. Experimental work is needed to test for the presence of possible pathophysiologic differences in trajectory groups, and whether unique treatment approaches are needed.
机译:背景技术近期困难症(PMDD)是一种新的精神障碍(DSM)-5诊断的新诊断和统计手册,其特征在于月经循环的肺癌中情绪和身体症状的循环出现,具有卵泡阶段的症状缓解。融合证据强调了不同的PMDD亚型的可能性,具有独特的病理物理学,但尚未以系统的方式探索颞次组。方法在当前的工作中,我们使用基于组的轨迹建模来识别在74个个人的样本中识别核心情绪和总PMDD症状的独特轨迹亚组(天-14至+9,其中日月发作)前瞻性地诊断为DSM-5 PMDD。结果每日症状评分总,最佳拟合模型由三组组成:一组仅在明确的一周(65%)中展示中度症状,一群人在肺癌的全部2周展示严重症状(17.5 %),并在毛囊阶段慢慢分解的前一周(17.5%)缓慢地展示严重症状的群体。结论这些轨迹群体在最新工作的上下文中讨论了PMDD的病理生理学。需要实验工作来测试轨迹组可能的病理物理学差异,以及是否需要独特的处理方法。

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