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Record W2604695501 · doi:10.1111/bju.13874

Understanding pain and coping in women with interstitial cystitis/bladder pain syndrome

2017· article· en· W2604695501 on OpenAlexaff
Laura Katz, Dean A. Tripp, Lesley K. Carr, Robert Mayer, Robert Moldwin, J. Curtis Nickel

Bibliographic record

VenueBritish Journal of Urology · 2017
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversity of TorontoMcMaster University Medical CentreQueen's University
Fundersnot available
KeywordsInterstitial cystitisCoping (psychology)DistressCognitionClinical psychologyEmotional distressPerceptionChronic painMental illnessBladder Pain SyndromePsychologyMedicinePsychiatryMental healthAnxietyAlternative medicinePathology

Abstract

fetched live from OpenAlex

OBJECTIVES: To examine a self-regulation and coping model for interstitial cystitis/bladder pain syndrome (IC/BPS) that may help us understand the pain experience of patients with chronic IC/BPS. PATIENTS AND METHODS: The model tested illness perceptions, illness-focused coping, emotional regulation, mental health and disability in a stepwise method using factor analysis and structural equation modelling. Step 1, explored the underlying constructs. Step 2, confirmed the measurement models to determine the structure/composition of the main constructs. Step 3, evaluated the model fit and specified pathways in the proposed IC/BPS self-regulation model. In all, 217 female patients with urologist diagnosed IC/BPS were recruited and diagnosed across tertiary care centres in North America. The data were collected through self-report questionnaires. RESULTS: An IC/BPS self-regulation model was supported. Physical disability was worsened by patient's negative perception of their illness, attempts to cope using illness-focused coping and poorer emotional regulation. Mental health was supported by perceptions that individuals could do something about their illness, using wellness-focused behavioural strategies and adaptive emotion regulation. CONCLUSIONS: The results clarify the complex and unique process of self-regulation in women with IC/BPS, implicating cognitive and coping targets, and highlighting emotional regulation. This knowledge should help clinicians understand and manage these patients' distress and disability.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.291
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2017
Admission routes1
Has abstractyes

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