Obsessive-compulsive spectrum conditions in obsessive-compulsive disorder and other anxiety disorders
Bibliographic record
Abstract
In light of current interest in an obsessive-compulsive spectrum of disorders, this study sought to determine whether comorbidity patterns support the unique relationship hypothesized between these conditions and obsessive-compulsive disorder (OCD). Comparisons were made of lifetime rates of several proposed spectrum conditions in individuals with one of three anxiety disorder principal diagnoses (OCD, social phobia, or panic disorder [PD], N=277). Spectrum conditions examined included tic-related disorders, trichotillomania, skin picking, and eating disorders, with analyses performed on rates both of clinical disorder alone, and clinical and subclinical manifestations jointly. The OCD group was found to differ from both other groups in showing 1) a greater proportion of individuals affected with any lifetime spectrum condition, 2) a greater number of lifetime spectrum conditions affecting each individual, and 3) a greater proportion of individuals having a lifetime history of multiple spectrum conditions. Analyses for specific spectrum conditions indicated differences among the anxiety disorder groups for all spectrum categories except eating disorders, though only in the case of tic-related conditions did OCD differ significantly from both comparison groups. For the other conditions, dissimilar patterns of differences were observed among the three groups, particularly when subclinical manifestations were included. These findings have conceptual and clinical implications, including 1) the salience of tic-related disorders in the OC spectrum, 2) the possibility that the relationship between spectrum conditions and anxiety disorders may take several different forms, and 3) the need for refinement of the hypothesized spectrum.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".