The Risk for Obstructive Sleep Apnea and Cognitive Function of High School Student
Bibliographic record
Abstract
Obstructive sleep apnea (OSA) is a common sleep disorder characterized by recurrent partial and/or total upper airway obstruction during sleep resulting in hypoxemia and arousal. One of the risk factors for OSA is obesity which its prevalence increased in Indonesia. OSA has a negative effect on cognitive function broadly. This study was aimed to determine the association between risk for OSA and cognitive function in high school students with obesity at Sulthon Aulia Boarding School, Bekasi. The study used a cross-sectional design and a simple random sampling technique. Data were taken using the Berlin Questionnaire and the Montreal Cognitive Assessment Indonesia version (MoCA-Ina) Questionnaire. The sample size is 47 subjects with inclusion criteria had overweight or obese body mass index (BMI) and were willing to be the research subjects. Subjects with a history of head injury, smoking, drinking alcohol, and taking sedative drugs were excluded from the study. There were differences in BMI and neck circumference between high-risk subjects for OSA and low-risk subjects for OSA. The risk level for OSA was significantly associated with cognitive function (p = 0.001; OR =12.727). High-risk subjects for OSA are recommended to lose weight and perform a polysomnographic evaluation.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".