The Prevalence of Febrile Seizure and Associated Factors Among Turkish Children
Bibliographic record
Abstract
Background: The aim of the present study was to determine the prevalence and risk factors of febrile seizure (FS) in Eskisehir province, Turkey. Methods: The survey was conducted by family physicians and involved two steps. In the first step of research, 1,000 randomly selected 0 - 6 years old children were invited to come to their family health centers. A specific questionnaire was administered to the parents during face to face sessions. The children who had had a history of FS were referred to the university hospital where detailed medical histories were taken and neurological examinations were conducted. Results: The prevalence of FS was calculated to be 2.57%. The ratio of male to female was 1 : 1. The relationships between a positive history of FS and study variables were analyzed through logistic regression. It was found that attendance to day care center affects the prevalence of FS, with the risk of FS being 19.35 times higher if child attends to day care. Also familial history of FS and consanguinity of parents increase the risk that their children will have FS 7.52 and 13.1 times higher, respectively. Conclusions: FS is still a frequent problem in pediatric practice. Although the prevalence of FS might vary according to the methodology of study, this present study found that the prevalence of FS was 2.57% among Turkish children. Int J Clin Pediatr. 2014;3(1):1-4 doi: http://dx.doi.org/10.14740/ijcp134w
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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 | 0.002 | 0.010 |
| 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".