Epilepsy and lifestyle behaviors related to bone health
Bibliographic record
Abstract
OBJECTIVE: Adults aged 50 years and older with epilepsy face an increased risk of fracture associated both with age and with the use of antiepileptic drugs. Lifestyle behaviors, such as physical activity and calcium and vitamin D intake, have been found to be beneficial to bone health. The aim of this study is to investigate these osteoprotective behaviors in people aged 50 years and older with and without epilepsy. METHODS: In 2010, the Canadian Community Health Survey (CCHS), a cross-sectional survey that collects health-related data nationwide, included a subset of questions related to epilepsy along with the standard items on physical activity, nutrition, and sun exposure. Data on osteoprotective behaviors were extracted and analyzed for adults aged 50 years and older. RESULTS: There were no significant findings related to calcium and vitamin D intake as measured by food choices and sun exposure survey items. People with epilepsy participated in physical activity significantly less often and for significantly shorter duration than people without epilepsy. Significantly fewer people with epilepsy reported intending to increase exercise in the next 12 months as compared to those without epilepsy. SIGNIFICANCE: Although adults aged 50 years and older with epilepsy face an increased risk of fracture as compared to those without epilepsy, they do not engage in a higher level of osteoprotective behaviors. In fact, adults with epilepsy are less physically active and report less intention to exercise than adults without epilepsy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".