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Record W2120356787 · doi:10.3899/jrheum.110904

The Influence of Stress on the Development and Severity of Immune-Mediated Diseases

2011· review· en· W2120356787 on OpenAlexvenueno aff
David S. Rampton

Bibliographic record

VenueJournal of Rheumatology Supplement · 2011
Typereview
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiseaseInflammatory bowel diseaseImmune systemMoodEpidemiologyPsychological interventionImmunologyStress managementQuality of life (healthcare)Intensive care medicineClinical psychologyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Evidence that psychological stress can increase inflammation and worsen the course of immune-mediated inflammatory disease (IMID) is steadily accumulating. The majority of data supporting this hypothesis come from studies in patients with inflammatory bowel disease (IBD). While there is no evidence to suggest that stress is a primary cause of IBD, many, although not all, studies have found that patients with IBD experience increased stress and stressful life events before disease exacerbations. Further, the disease itself can cause psychological stress, creating a vicious cycle. In addition to reviewing the epidemiological evidence supporting a stress-IMID relationship, this article also briefly discusses how stress-related changes in neural, endocrine, and immune functioning may contribute to the pathogenesis of immune diseases, IBD in particular. The effects of different pharmacological and nonpharmacological interventions, including stress management and behavioral therapy, on stress, mood, quality of life (QOL), and activity of the underlying IMID are also summarized.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.064
GPT teacher head0.424
Teacher spread0.361 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations50
Published2011
Admission routes1
Has abstractyes

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