Boysan Murat
Yüzüncü Yıl University Faculty of Arts, Department of Psychology, Van, Turkey.
Noro Psikiyatr Ars. 2014 Sep;51(3):253-262. doi: 10.4274/npa.y6884. Epub 2014 Sep 1.
There has been a burgeoning literature considering the significant associations between obsessive-compulsive symptoms and dissociative experiences. In this study, the relationsips between dissociative symtomotology and dimensions of obsessive-compulsive symptoms were examined in homogeneous sub-groups obtained with latent class algorithm in an undergraduate Turkish sample.
Latent profile analysis, a recently developed classification method based on latent class analysis, was applied to the Dissociative Experiences Scale (DES) item-response data from 2976 undergraduates. Differences in severity of obsessive-compulsive symptoms, anxiety and depression across groups were evaluated by running multinomial logistic regression analyses. Associations between latent class probabilities and psychological variables in terms of obsessive-compulsive sub-types, anxiety, and depression were assessed by computing Pearson's product-moment correlation coefficients.
The findings of the latent profile analysis supported further evidence for discontinuity model of dissociative experiences. The analysis empirically justified the distinction among three sub-groups based on the DES items. A marked proportion of the sample (42%) was assigned to the high dissociative class. In the further analyses, all sub-types of obsessive-compulsive symptoms significantly differed across latent classes. Regarding the relationships between obsessive-compulsive symptoms and dissociative symptomatology, low dissociation appeared to be a buffering factor dealing with obsessive-compulsive symptoms; whereas high dissociation appeared to be significantly associated with high levels of obsessive-compulsive symptoms.
It is concluded that the concept of dissociation can be best understood in a typological approach that dissociative symptomatology not only exacerbates obsessive-compulsive symptoms but also serves as an adaptive coping mechanism.
关于强迫症状与分离体验之间的显著关联，已有大量文献。在本研究中，在一个土耳其本科样本中，使用潜在类别算法获得同质亚组，对分离症状学与强迫症状维度之间的关系进行了研究。
潜在剖面分析是一种基于潜在类别分析的最新开发的分类方法，应用于2976名本科生的分离体验量表（DES）项目反应数据。通过进行多项逻辑回归分析，评估各组强迫症状、焦虑和抑郁严重程度的差异。通过计算皮尔逊积差相关系数，评估潜在类别概率与强迫亚型、焦虑和抑郁方面的心理变量之间的关联。
潜在剖面分析的结果为分离体验的不连续模型提供了进一步证据。该分析从经验上证明了基于DES项目区分三个亚组的合理性。相当比例的样本（42%）被归入高分离类别。在进一步分析中，强迫症状的所有亚型在潜在类别之间存在显著差异。关于强迫症状与分离症状学之间的关系，低分离似乎是应对强迫症状的缓冲因素；而高分离似乎与高水平的强迫症状显著相关。
得出的结论是，分离的概念可以通过一种类型学方法得到最好的理解，即分离症状学不仅会加剧强迫症状，还可作为一种适应性应对机制。
