Are “not just-right experiences” trait and/or state marker for obsessive-compulsive disorder?

2021 ◽  
Author(s):  
Ferda Apa ◽  
Selim Tumkaya ◽  
Bengu Yucens ◽  
Himani Kashyap
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Not Just Right Experiences ◽  
State Marker ◽  
Just Right

Incompleteness and not just right experiences in the explanation of Obsessive–Compulsive Disorder

2016 ◽  
Vol 236 ◽  
pp. 1-8 ◽  
Author(s):  
Amparo Belloch ◽  
Gertrudis Fornés ◽  
Angel Carrasco ◽  
Clara López-Solá ◽  
Pino Alonso ◽  
...  
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Not Just Right Experiences ◽  
Just Right

“Not Just Right Experiences” are specific to obsessive–compulsive disorder: Further evidence from Italian clinical samples

2015 ◽  
Vol 31 ◽  
pp. 73-83 ◽  
Author(s):  
Claudio Sica ◽  
Gioia Bottesi ◽  
Antonella Orsucci ◽  
Caterina Pieraccioli ◽  
Cecilia Sighinolfi ◽  
...  
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Clinical Samples ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Not Just Right Experiences ◽  
Just Right

Is Performance on the Go/Nogo Task Related to Not Just Right Experiences in Patients with Obsessive Compulsive Disorder?

2013 ◽  
Vol 37 (6) ◽  
pp. 1121-1131 ◽  
Author(s):  
Marta Ghisi ◽  
Gioia Bottesi ◽  
Claudio Sica ◽  
Ezio Sanavio ◽  
Mark H. Freeston
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Not Just Right Experiences ◽  
Just Right

The Relationship Between Obsessive-Compulsive Symptoms, Perfectionism, and Anxiety Sensitivity for Not Just Right Experiences

2017 ◽  
Vol 34 (3) ◽  
pp. 134-155 ◽  
Author(s):  
Lauren D. Irwin ◽  
Mairwen K. Jones
Keyword(s):  
Anxiety Sensitivity ◽  
Strong Association ◽  
Self Report ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Maladaptive Perfectionism ◽  
Not Just Right Experiences ◽  
The Relationship ◽  
Just Right

The obsessive-compulsive core dimensions model posits that compulsions are driven by harm avoidance, or to counteract a sense of incompleteness, known as ‘not just right experiences’ (NJREs). Evidence suggests NJREs are associated with obsessive-compulsive disorder (OCD) symptoms and maladaptive perfectionism. However, manipulations of NJREs have focused on the visual system, and have not been examined in the context of arousal fears associated with anxiety sensitivity (AS). This study examined the relationship between OC symptoms, perfectionism, and AS using in vivo manipulations of NJREs across visual, auditory, and tactile sensory modalities. Using a 2 (NJRE vs. JRE) × 2 (AS vs. no AS) between-subjects design, participants (N = 132) completed behavioural tasks designed to elicit NJREs and assess task discomfort and urge to counteract sensory-specific stimuli. Strong relationships were observed between task ratings and self-report measures of NJREs, incompleteness, OCD symptoms, maladaptive perfectionism, and AS. Those in the NJRE conditions gave significantly higher task ratings compared to JRE conditions; however, there was no main effect for AS. While maladaptive perfectionism and AS were significant predictors of task performance, there was no interaction between the two. The results confirm and extend research suggesting a strong association between NJREs and incompleteness motivations, as well as sensory-affective disturbance in OCD.

scholarly journals Semantic Relationships of Obsessions: Clustering and Frequencies of Obsessional Symptoms from a Large International Obsessive-Compulsive Disorder Mobile Application Dataset (Preprint)

2020 ◽  
Author(s):  
Jamie D. Feusner ◽  
Reza Mohideen ◽  
Stephen Smith ◽  
Ilyas Patanam ◽  
Anil Vaitla ◽  
...  
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Mobile Application ◽  
Free Text ◽  
Sample Analysis ◽  
Obsessive Compulsive ◽  
Semantic Relationships ◽  
Compulsive Disorder ◽  
Factor Analytic ◽  
Split Sample ◽  
Just Right

BACKGROUND Obsessive-compulsive disorder (OCD) is characterized by recurrent intrusive thoughts, urges, or images (obsessions) and repetitive physical or mental behaviors (compulsions). While specific obsessions and compulsions can manifest in vastly different ways, previous factor analytic and clustering studies suggest the presence of three or four “subtypes” of OCD symptoms. Yet, these studies have relied on predefined symptom checklists, which are limited in breadth and may be biased towards researchers’ prior conceptualizations of OCD. OBJECTIVE As an alternative to uncovering potential OCD subtypes, we examined a large data set of freely-reported obsession symptoms obtained from an OCD mobile app. From this we examined data-driven clusters of obsessions based on their latent semantic relationships in the English language, using word embedding, a type of natural language processing. METHODS We extracted free-text entry words describing obsessions in a large sample of users of the mobile application, “NOCD,” who self-identified as having OCD. Semantic vector space modeling was applied using Global Vectors for Word Representation algorithm (GloVe), an unsupervised learning algorithm for obtaining vector representations for words based on word-word co-occurrence statistics from a 6 billion word corpus. A domain-specific extension, “Mittens,” was also applied to enhance the corpus with OCD-specific words. After cleaning the obsessions words, we created a word co-occurrence matrix. Resulting representations provided linear substructures of the word vector in 100-dimensional space. We applied principal components analysis to the 100-dimensional vector representation of the most frequent words, followed by k-means clustering to obtain clusters of related words. RESULTS We obtained unique 7,001 words representing obsessions from 25,369 individuals. Heuristics for determining optimal numbers of clusters pointed to a three-cluster solution, with themes relating to doubt/checking, contamination/somatic/physical harm/sexual harm, and relationship/just-right. All three clusters showed relatively close semantic relationships to each other in a central area of convergence, with themes relating to harm. An equal-sized split-sample analysis across individuals and a split-sample analysis over time both showed overall stable cluster solutions. Words in the contamination/somatic/physical harm/sexual harm cluster were the most frequently occurring, followed by words in the relationship/just-right cluster. CONCLUSIONS Clustering of naturalistically-acquired obsessional words resulted in three major groupings of semantic themes, which partially overlap with previous studies’ results using predefined checklists. Further, the closeness of the overall embedded relationships across clusters and their central convergence on harm suggests that, at least at the level of self-reported obsessional thoughts, the majority of obsessions have close semantic relationships. Harm to self or others may be an underlying organizing theme across many obsessions. Notably, “relationship” themed words, not previously included in factor analytic studies, clustered with “just-right” words. These novel insights have potential implications for understanding how an apparent multitude of obsessional symptoms are connected by underlying themes. This could aid in exposure-based treatment approaches and could be used as a conceptual framework for future research.

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