Prevalence of depression and anxiety in women newly diagnosed with vulvovaginal atrophy and dyspareunia
Bibliographic record
Abstract
OBJECTIVE: To quantify the association between vulvovaginal atrophy and depression, major depressive disorder, and anxiety. METHODS: Women with vulvovaginal atrophy from the Truven Health MarketScan Commercial and Medicare Supplemental Databases (01/2010-09/2016) with ≥365 days of continuous insurance coverage before and after the first vulvovaginal atrophy/dyspareunia diagnosis (index date) were selected. Women with vulvovaginal atrophy were matched 1:3 to women without (controls) according to age, calendar year, health plan, and region. The study period spanned from 12 months before to 12 months after index date. The ratios of diagnosed depression, major depressive disorder, and anxiety among women with vulvovaginal atrophy and the controls were calculated. Logistic regressions adjusting for proxies of menopause were used to compare prevalence. RESULTS: In all, 125,889 women with vulvovaginal atrophy and 376,057 controls were included (mean age 60.7 [45-101]). The prevalence of depression, major depressive disorder, and anxiety was higher among women with vulvovaginal atrophy compared with controls (23.9% vs 18.9%, 6.3% vs 4.7%, 16.6% vs 11.3%), with prevalence ratios of 1.26, 1.33, and 1.47, respectively (all P < 0.0001). Highest prevalences and differences were observed in younger women. Findings were consistent when analyzing newly diagnosed conditions. When adjusting for proxies of menopause (insomnia, vasomotor symptoms, dysuria, and estrogen therapy), vulvovaginal atrophy remained significant (prevalence odds ratios; depression 1.23, major depressive disorder 1.22, anxiety 1.39; all P < 0.0001). CONCLUSIONS: Vulvovaginal atrophy is associated with a significantly higher prevalence/incidence of depression, major depressive disorder, and anxiety. The higher prevalence/incidence and greater differences in younger women highlight the need for a multidisciplinary approach and early diagnosis/management of vulvovaginal atrophy.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".