Depression and catastrophizing predict suicidal ideation in tertiary care patients with interstitial cystitis/bladder pain syndrome
Bibliographic record
Abstract
INTRODUCTION: We sought to evaluate psychosocial factors as predictors of suicidal ideation (SI) in a tertiary care outpatient sample of women suffering from interstitial cystitis/bladder pain syndrome (IC/BPS). METHODS: The patients are women managed at tertiary care centres (n=190). Controls were recruited from the community (n=117). Both groups completed questionnaires on demographics, pain (McGill Pain Questionnaire), IC/BPS symptoms, and psychological variables. Univariate and multivariate hierarchical regression modelling was conducted to examine the strength of associations and unique effects of psychosocial variables on patient SI. RESULTS: Compared to 6% in healthy controls, 23% of patients endorsed SI in the past two weeks. Correlations between SI, depression, and catastrophizing across controls and cases show that for controls, SI is associated with greater pain (0.31; p<0.01) and depression only (0.59; p<0.01). For tertiary care centre cases, SI is associated with pain (0.24; p<0.01), depression (0.64; p<0.01), and catastrophizing (0.35; p<0.01). Regression analyses indicated that psychosocial variables accounted for a significant amount of variance over and above IC/BPS symptoms. Catastrophizing (i.e., helplessness) about pain and depression were significant univariate predictors of SI, but only depression predicted SI in multivariable analyses. CONCLUSIONS: Limitations of this study include its cross-sectional design and primarily correlation-based statistics. The present study is the first to implicate multiple psychosocial risk factors over and above IC/BPS-specific symptoms and patient pain experience in SI in women with IC/BPS. Depression in particular is uniquely important in predicting suicidality. These results support a multidisciplinary, proactive approach to IC/BPS involving not only treatment of disease symptoms, but also early detection/treatment of associated psychosocial problems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".