Somatic and affective anxiety symptoms and menopausal hot flashes
Bibliographic record
Abstract
In Brief Objective: Menopausal hot flashes have been associated with increased scores on measures of anxiety. Anxiety measures are typically composed of items measuring somatic and affective symptoms. Because hot flash symptoms are similar to symptoms of somatic anxiety, we wanted to examine the differential contribution of somatic anxiety and affective anxiety to hot flash scores. Methods: A total of 80 psychologically well-functioning postmenopausal women aged 50 to 64 years were administered the Zung Anxiety Index (ZAI), from which total score, somatic anxiety subscale score, and affective anxiety subscale score were calculated. The outcome measure was a hot flash score that incorporated both frequency and severity based on a 7-day diary. A linear regression analysis examined the association between hot flashes and the two anxiety subscales controlling for age, education, and sleep quality. Results: Higher score on somatic anxiety was significantly associated with higher hot flash score (P = 0.04), whereas the association with affective anxiety was not significant (P = 0.80). Higher total score on the ZAI was also significantly associated with higher hot flash score (P = 0.02). Conclusions: These results suggest that the positive association between higher ZAI scores and hot flashes in recently postmenopausal women may be due to the overlap between the somatic manifestation of hot flashes and anxiety symptoms rather than to an affective anxiety disturbance. These results have potential implications for the care and treatment of postmenopausal women, but replication is required in other samples including women at different transition stages of menopause and women with psychiatric comorbidities. The positive association between higher Zung Anxiety Index (ZAI) scores and hot flashes in recently postmenopausal women may be a result of the overlap between the somatic manifestation of hot flashes and anxiety symptoms rather than of an affective anxiety disturbance. This overlap may have potential implications for the care and treatment of anxiety and hot flashes in postmenopausal 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 | 0.000 | 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) | 0.002 | 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".