Health‐related behaviors and comorbidities in people with epilepsy: Changes in the past decade
Bibliographic record
Abstract
OBJECTIVE: We aimed to explore the patterns of health-related behaviors (HRBs) such as smoking and physical activity in people with epilepsy in the community and examine whether behaviors have changed over the past decade. METHODS: We conducted a repeated cross-sectional study using data from a series of five cycles (2001-2011) of the Canadian Community Health Survey, a national population-based survey. The proportions and odds ratios with 95% confidence intervals for HRBs and comorbidities in people with epilepsy (PWE) compared to respondents without epilepsy were calculated for each survey over the 10-year period, and estimates were examined for changes over time. RESULTS: The study included 522,722 participants of whom 3,220 (0.6%) had epilepsy. The proportion of PWE who did not participate in physical activity decreased over time (2001 = 17.2%, 2010/2011 = 8.5%), as did the proportion of PWE who smoked cigarettes (2001 = 32.3%, 2010/2011 = 18.0%). PWE had consistently reduced alcohol consumption in comparison to the general population. Fewer than half of participants met the recommended daily guidelines for fruit and vegetable consumption. An apparent reduction in the prevalence of heart disease occurred in PWE (2001 = 11.7%, 2010/2011 = 4.0%), but not in people without epilepsy; however, similar trends were not observed for other cardiovascular comorbidities studied. SIGNIFICANCE: Apparent improvements in smoking cessation and physical activity occurred in PWE. Despite these improvements, physicians should continue to counsel their patients on the importance of healthy lifestyle choices. Further exploration into the reasons for the apparent decrease in the prevalence of heart disease in PWE is warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".