The association of depressive symptoms and female sexual functioning in the menopause transition: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVE: Sexual dysfunction is very common among middle-aged females. Several factors are considered to influence sexual functioning, including reproductive aging and associated physiological changes as well as life stressors, mental health, and other socioeconomic influences. The objectives of this study are to evaluate the effect of current depressive symptoms on sexual functioning during menopause and to further analyze whether socioeconomic status, age, and antidepressant usage impact this association. METHODS: Perimenopausal and postmenopausal women aged 40 to 65 years seeking treatment from a specialized menopause clinic completed a self-report survey with the main outcome measure being the 19-item Female Sexual Function Index quantifying sexual dysfunction. We used the 10-item Center for Epidemiological Studies Depression Scale to estimate a major depressive episode. Statistical analyses were completed to assess the potential associations of socioeconomic factors, age, and antidepressant usage. RESULTS: Of the 269 participants, 61.3% met criteria for a major depressive episode and 67.0% had low sexual function. As predicted, women currently experiencing depressive symptoms had a greater risk of low sexual function during perimenopause and postmenopause. Antidepressant usage, low household income, being postmenopausal, and age also predicted low sexual function. CONCLUSIONS: Among perimenopausal and postmenopausal women, current depressive symptoms were associated with low sexual function. A biopsychosocial approach should be considered when exploring effective treatment strategies for sexual concerns among midlife women.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".