Intolerance of Uncertainty and Adult Separation Anxiety
Bibliographic record
Abstract
Intolerance of uncertainty (IU)-the tendency to react negatively to situations that are uncertain-is involved in different anxiety disorders and depression. No studies have yet examined the association between IU and symptoms of adult separation anxiety disorder. However, it is possible that greater difficulties tolerating uncertainties that can occur in relationships with attachment figures inflate fears and worries about the consequences of being separated from these attachment figures. The current study examined the possible role of IU in symptoms of adult separation anxiety disorder, relative to its role in symptoms of generalized anxiety disorder (GAD), obsessive compulsive disorder (OCD), social anxiety, and depression, using self-reported data from 215 undergraduates (92% women) with elevated separation anxiety. Findings showed that IU was significantly associated with symptom levels of separation anxiety disorder, GAD, OCD, social anxiety, and depression (rs > .30). IU continued to explain variance in OCD, social anxiety, and depression (but not GAD and separation anxiety) when controlling for the association of neuroticism, attachment anxiety, and attachment avoidance with these symptoms. Additional findings indicated that IU is more strongly associated with symptoms of GAD, OCD, and social anxiety than symptoms of adult separation anxiety disorder and depression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".