Cognitive behavior therapy for menopausal symptoms (CBT-Meno): a randomized controlled trial
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effectiveness of cognitive behavioral therapy for menopausal symptoms (CBT-Meno) compared with a waitlist condition (no active intervention). A randomized controlled trial was conducted with 71 perimenopausal or postmenopausal women who were seeking treatment for menopausal symptoms. METHODS: Blind assessments were conducted at baseline, 12 weeks postbaseline, and 3 months post-treatment. An intention-to-treat analysis was conducted. CBT-Meno sessions included psychoeducation, and cognitive and behavioral strategies for vasomotor and depressive symptoms, anxiety, sleep difficulties, and sexual concerns. Primary outcomes were scores on the Hot Flash Related Daily Interference Scale (HFRDIS) and Beck Depression Inventory (BDI-II). Secondary outcomes were scores assessing vasomotor and sexual concerns on the Greene Climacteric Scale (GCS-vm, GCS-sex), the Montgomery-Åsberg Depression Rating Scale (MADRS), Hamilton Anxiety Rating Scale (HAM-A), Pittsburgh Sleep Quality Index (PSQI), and the Female Sexual Function Index (FSFI). RESULTS: There were significantly greater improvements in CBT-Meno compared with waitlist in vasomotor symptom interference (HFRDIS; P < 0.001, ηP = 0.21) and "bothersomeness" (GCS-vm; P = 0.04, ηP = 0.06), depressive symptoms (BDI-II; P = 0.001, ηP = 0.15), sleep difficulties (PSQI; P = 0.001, ηP = 0.17), and sexual concerns (GCS-sex; P = 0.03, ηP = 0.07). These results were found even when controlling for menopausal staging and medication use. Gains were maintained at 3 months post-treatment. CONCLUSIONS: CBT-Meno was particularly effective in improving self-reported vasomotor symptoms, depressive symptoms, sleep difficulties, and sexual concerns. Although future studies will be needed to confirm the impact of CBT-Meno on anxiety symptoms, these results suggest that this protocol is effective in targeting commonly reported menopausal symptoms. : Video Summary: Supplemental Digiatl Content 1, http://links.lww.com/MENO/A416.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".