0316 INSOMNIA SYMPTOMS AND EXERCISE DOSE: RISK REDUCTION IN MIDDLE-AGED WOMEN
Bibliographic record
Abstract
Women during menopause transition are at increased risk for insomnia. While exercise demonstrates significance to reduce symptoms, the dose is ill-defined in the literature. The purpose of this study was to describe sleep, insomnia symptoms, and exercise in efforts to develop a natural insomnia risk reduction exercise dose preference for 40-60-year-old (middle-aged) women. A cross-sectional, descriptive, correlational design queried women about sleep, exercise, and nocturnal hot flashes. The Insomnia Severity Index (ISI) identified those with insomnia symptoms. The data analyzed by binomial regression statistics to identify insomnia risk reduction using exercise report and open-ended questions to describe the phenomena. An ISI, seven-component, factor analysis investigated useful items to improve Cronbach’s Alpha for internal consistency in this population. Our study demonstrated significant differences in insomnia symptoms between reported exercise of participants (n=71) with control of hot-flashes, resulting in an identified dose for risk reduction (p<.05), and developed a brief prescreening set of questions for determining potential sleep problems (p < .001). Participants in group 1 exercise had an odds ratio 4.93 (CI 1.16–20.99, p < .05) for insomnia symptoms and the other variables, including hot flashes, had no statistical significance, p > .05. The ISI construct with seven questions resulted in a high level of internal consistency (Cronbach’s Alpha of 0.89) and the internal consistency improved, if reduced to 6 items (removing item #4 satisfied) as determined by a Cronbach’s Alpha 0.91. Our study results allows for a preventative exercise dose suggestion for middle-aged women and a brief insomnia pre-screening (inquiring about nocturnal hot flashes, worry about sleep, and exercise) to prompt further investigation about their sleep problem. Our study is limited by sample size; however, we feel it provides insight into an existing exercise regimen that would be helpful in preventing insomnia symptoms during women’s menopausal transition. None.
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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".