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Record W2903143162 · doi:10.1097/sga.0000000000000357

Women's Experiences of Intimate Relationships While Living With Irritable Bowel Syndrome

2018· article· en· W2903143162 on OpenAlexaff
Megan Nguyen, Margaret M. Malone, Annette Bailey, Jennifer Lapum

Bibliographic record

VenueGastroenterology Nursing · 2018
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsIrritable bowel syndromeInterpersonal communicationPsychologyInterpersonal relationshipSocial supportNarrativeMedicineClinical psychologyPsychotherapistPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Irritable bowel syndrome is a chronic digestive disorder that commonly affects women. Research has shown that the illness experience of irritable bowel syndrome can disrupt social relationships. However, the area of intimate relationships has yet to be explored despite the deep involvement that intimate partners often have in the experience of living with chronic illness. Using a critical feminist lens, a narrative methodology was employed to explore women's experiences of intimate relationships while living with irritable bowel syndrome. Data collection methods included semistructured interviews and an arts-informed activity. The women's narrative accounts and artistic pieces reflected the emotional, physical, and interpersonal aspects of intimacy while living with irritable bowel syndrome. The findings indicated that women's experiences were deeply emotional and involved laborious and gendered emotion work. Their body concept complicated their relationship experiences. Women's emotional and social well-being was fostered by their partners' provision of acceptance, understanding, and support. The findings highlighted the need to implement and further explore the inclusion of emotional support and counselling as well as dyadic and gendered approaches to irritable bowel syndrome management.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.299
Teacher spread0.265 · 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 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

Citations6
Published2018
Admission routes1
Has abstractyes

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