School of Psychiatry, University of New South Wales, Sydney, Australia.
School of Psychiatry, University of New South Wales, Sydney, Australia.
Psychiatry Res. 2021 Mar;297:113719. doi: 10.1016/j.psychres.2021.113719. Epub 2021 Jan 14.
There has been a longstanding debate as to whether the bipolar disorders differ categorically or dimensionally, with some dimensional or spectrum models including unipolar depressive disorders within a bipolar spectrum model. We analysed manic/hypomanic symptom data in samples of clinically diagnosed bipolar I, bipolar II and unipolar patients, employing latent class analyses to determine if separate classes could be identified. Mixture analyses were also undertaken to determine if a unimodal, bimodal or a trimodal pattern was present. For both a refined 15-item set and an extended 30-item set of manic/hypomanic symptoms, our latent class analyses favoured three-class solutions, while mixture analyses identified trimodal distributions of scores. Findings argue for a categorical distinction between unipolar and bipolar disorders, as well as between bipolar I and bipolar II disorders. Future research should aim to consolidate these results in larger samples, particularly given that the size of the unipolar group in this study was a salient limitation.
关于双相障碍是分类的还是维度的，一直存在着长期的争论，一些维度或谱模型将单相抑郁障碍包括在双相谱模型内。我们分析了临床诊断为双相 I 型、双相 II 型和单相患者的躁狂/轻躁狂症状数据，采用潜在类别分析来确定是否可以识别出不同的类别。混合物分析也用于确定是否存在单峰、双峰或三峰模式。对于经过改进的 15 项躁狂/轻躁狂症状集和扩展的 30 项躁狂/轻躁狂症状集，我们的潜在类别分析都支持三类别解决方案，而混合物分析则确定了分数的三峰分布。研究结果支持单相和双相障碍之间以及双相 I 型和双相 II 型障碍之间的分类区别。未来的研究应旨在在更大的样本中巩固这些结果，特别是鉴于本研究中单相组的规模是一个显著的限制。
