Women With Hypoactive Sexual Desire Disorder Versus Sexual Interest/Arousal Disorder: An Empirical Test of Raising the Bar
Bibliographic record
Abstract
In 2013, the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) was published with a major revision to the sexual dysfunction categories, and the diagnosis of female hypoactive sexual desire disorder (HSDD) was replaced with female sexual interest/arousal disorder (SIAD). Since being introduced, concern has been expressed that SIAD inappropriately "raises the bar" for diagnosis. To address these concerns, we sought to evaluate the number of women with a diagnosis of HSDD who also met criteria for SIAD. In a sample of 151 women, we found that 73.5% of women with a diagnosis of HSDD met criteria for SIAD. The two groups were compared on the Sexual Interest/Desire Inventory, and women who met criteria for both HSDD and SIAD consistently scored lower on sexual desire frequency and satisfaction, satisfaction with sex, receptivity, positive sexual thoughts, reactions to erotica, arousal frequency, ease, continuation, and orgasm ease/achievement, and higher on distress. In addition, women meeting criteria for HSDD only tended to have mild symptoms across the six SIAD criteria compared to those meeting criteria for both HSDD and SIAD. These findings suggest that the SIAD criteria does not unduly raise the bar for diagnosis.
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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 | 0.029 | 0.082 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".