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Record W7161830795 · doi:10.82308/31614

Relationships between psychosocial functioning of the child, parental coping and pain in juvenile idiopathic arthritis: cross-sectional and longitudinal analyses

2010· dissertation· en· W7161830795 on OpenAlexaboutno aff
Sarah Campillo

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialCoping (psychology)JuvenileDiseaseChronic painCausality (physics)Association (psychology)Multilevel model

Abstract

fetched live from OpenAlex

Chronic pain in juvenile idiopathic arthritis is poorly understood. Although there is a link between pain and disease activity, pain is also modulated by other factors. The psychosocial functioning of the child is linked to his/her pain experience, however direction of causality is unknown. Furthermore, the potential association between parental coping and children's pain has never been explored. The objectives were to evaluate relationships between psychosocial functioning of the child, parental coping, and concurrent pain and future pain report at 6 months. The database "Determinants of outcomes for juvenile arthritis" from the Montreal Children's Hospital, including 95 patients, was used. Hierarchical multiple linear regression was performed. Psychosocial functioning of the child was identified as a correlate of pain, above and beyond disease activity, in the cross-sectional analysis. However, it did not predict future pain. Use of the parental coping pattern "social support" was associated with less concurrent pain.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.364
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2010
Admission routes1
Has abstractyes

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