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Record W6921779604 · doi:10.11575/prism/33881

Mindfulness-based stress reduction improves distress in two different chronic illnesses

2012· other· en· W6921779604 on OpenAlexfundno aff

Bibliographic record

VenueUniversity of Calgary · 2012
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersCanadian Breast Cancer Research AllianceAlberta Cancer Foundation
KeywordsDistressIrritable bowel syndromeMoodPsychological distressMindfulness-based stress reductionIntervention (counseling)Mood disordersStress (linguistics)Profile of mood states

Abstract

fetched live from OpenAlex

Background: Distress is well recognized as endemic in cancer populations: less is known about distress in Irritable Bowel Syndrome (IBS). Purpose: This study compared distress between individuals with IBS (n=51) and those with cancer (n=147) participating in Mindfulness-Based Stress Reduction (MBSR). Methods: Patients completed mood and symptoms of stress questionnaires pre- and post- MBSR intervention as well as at 6-month follow-up. Results: The IBS group demonstrated higher baseline total symptoms of stress and more muscle tension, sympathetic nervous system arousal, and neurological/GI symptoms. They also had higher baseline tension/anxiety scores on the mood measure. While both groups decreased significantly post-MBSR on total stress symptoms and mood disturbance scores, the IBS group showed a small increase in stress symptoms between post-program and 6-month follow-up. Conclusions: These findings highlight the high levels of distress associated with IBS, and support evidence that MBSR may be beneficial in reducing both IBS and cancer related distress.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.220
Teacher spread0.212 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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