The Multiple Sclerosis Intimacy and Sexuality Questionnaire — re-validation and development of a 15-item version with a large US sample
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Sexual dysfunction is common in multiple sclerosis (MS) but reliable and valid measurement in this population is needed. OBJECTIVE: The objective of this research is to re-validate the Multiple Sclerosis Intimacy and Sexuality Questionnaire-19 in a large US sample. METHODS: A total of 6300 MS patients from the NARCOMS registry completed the MSISQ-19. Unforced principal component analysis utilizing oblique rotation with Kaiser Normalization validated its construct validity. RESULTS: The scree plot supported a three-component solution, with 63% of total variance explained. The components mirrored the original validation study measuring primary, secondary, and tertiary sexual dysfunction. PCA suggested the scale could be shortened to 15 items, which were found to apply equally well to males and females (with one primary item specific for each sex). The components were moderately intercorrelated (Pearson rs ranged from 0.5 to 0.67). The secondary subscale correlated most highly with self-reported disability (r (6081) = 0.44, p < 0.001), whereas the tertiary subscale correlated most highly with psychological distress (r (5992) = -.37, p < 0.001). Cronbach's alpha for the total scale (0.92) and the subscales (primary, 0.87; secondary, 0.82; tertiary, 0.91) demonstrated good reliability. CONCLUSION: The revised 15-item MSISQ is a reliable and valid measure of sexual dysfunction in men and women with MS.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it