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Record W4240360847 · doi:10.32920/ryerson.14649081

Illness intrusiveness and sexual satisfaction among women with multiple sclerosis

2021· preprint· en· W4240360847 on OpenAlexaff
Danielle E Culp

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIntrusivenessSexual dysfunctionPsychologyClinical psychologyMultiple sclerosisPopulationWeaknessPsychiatryMedicineDevelopmental psychology

Abstract

fetched live from OpenAlex

Multiple sclerosis (MS) is a disorder of the central nervous system that occurs in 55,000 - 75,000 Canadians. MS causes symptoms such as muscle weakness, poor balance, pain, fatigue, bladder and bowel dysfunction, and sexual dysfunction. Although high rates of sexual dysfunction are well documented among MS patients, predictors of sexual satisfaction among this population have been understudied. Illness intrusiveness (how intrusive one finds his or her illness) has been found to mediate the link between illness symptoms and quality of life. Therefore, the mediational role of illness intrusiveness between sexual dysfunction and sexual satisfaction was examined in this cross-sectional study. Eighty-two women with MS completed self-report measures to investigate how illness intrusiveness mediated, and age moderated the relationship between sexual dysfunction and sexual satisfaction. Higher illness intrusiveness into intimacy mediated sexual dysfunction and sexual satisfaction. The impact of illness intrusiveness and other relationship variables on sexual satisfaction 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 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)0.001
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.284
Teacher spread0.236 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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