Preliminary validation of the Sexual Distress Scale-Short Form: Applications to Women, Men, and Prostate Cancer Survivors
Bibliographic record
Abstract
The Sexual Distress Scale (SDS) can be used to assess sexual distress in women, men, and prostate cancer (PCa) survivors. Despite its strong psychometric properties, researchers and clinicians could benefit from a short form of the scale. Two studies were conducted to develop (Study 1) and validate (Study 2) a short form of the SDS (SDS-SF) using samples of women, men, and PCa survivors from previous studies. Results of Study 1 suggested a 5-item SDS-SF. Study 2 showed that the SDS-SF items clustered in one factor with good fit across the three samples and excellent reliability. Sexual distress was associated with higher sexual bother, and poorer sexual satisfaction, sexual function, and relationship quality. The SDS-SF discriminated participants with and without distressing sexual problems. The SDS-SF facilitates the assessment of sexual distress in clinical settings by providing a quick way of screening patients with high levels of sexual distress.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".