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‘One sip won't do any harm . . .’: Temptation among women with inflammatory bowel disease/irritable bowel syndrome to engage in negative dietary behaviours, despite the consequences to their health

2009· article· en· W2047281672 on OpenAlexaff
Margaret A. Schneider, Anne Jamieson, Paula C. Fletcher

Bibliographic record

VenueInternational Journal of Nursing Practice · 2009
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsCanadian Physiotherapy AssociationWilfrid Laurier University
Fundersnot available
KeywordsIrritable bowel syndromeMedicineTemptationInflammatory bowel diseaseDiseaseHarmHealth professionalsHealth careClinical psychologyGerontologyPsychologyPsychiatryInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

The purpose of this research was to explore the dietary lived experiences of university-aged women suffering from inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS). This paper will address the decision-making process used by these women when contemplating the consumption of dietary temptations, despite the associated negative consequences. This phenomenological study was guided by heuristic inquiry. A purposive sample of eight women, between the ages of 18 and 23 years, who were living with IBD or IBS were recruited via postings and word-of-mouth. The findings indicate that these women occasionally felt compelled to give into dietary temptations, despite the consequences to their health. The decision-making process they used when considering these negative health behaviours involved three personally controlled parameters. These three parameters included: assessing the cost-benefit relationship before engaging in these behaviours; having a physical and/or psychological reliance on medications to treat resulting symptoms; and through controlling the timing and surroundings in which they indulged in these negative dietary behaviours. The practical implications for health-care professionals treating patients with IBD or IBS are discussed.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.443
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.033
GPT teacher head0.340
Teacher spread0.307 · 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

Citations15
Published2009
Admission routes1
Has abstractyes

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