Association Between Sleep Disorder and Increased Body Mass Index in Adult Patients
Bibliographic record
Abstract
Abstract Introduction and objectives . Obesity is a public health issue, with increasing prevalence and incidence all over the world. Diet and exercise applied in obesity treatment are not always as effective as expected, as there are many other determining factors which can lead to obesity. One of these modifiable factors seem to be sleep disorder. The objective of our study was to test the positive association between the presence of sleep disorder and increased body mass index (BMI). Material and method . 84 patients were screened in a descriptive cross-sectional study. Each patient completed the adjusted 7 items University of Toronto Sleep Assessment Questionnaire (SAQ©). Each affirmative answer was accounted 1 point. The total score was calculated. Mild sleep disorder was considered at 4-5 points, severe sleep disorder at 6 - 7 points. Body mass index (BMI) was calculated for each patient by the formula weight (Kg)/squared height (m 2 ). We considered increased BMI values greater than 25 kg/m 2 . The association between the sleep disorder and increased BMI was statistically tested. Results . We interviewed 84 patients, 32 (38%) men (average age 54 +/− 6.63) and 52 (62%) women (average age 50 +/− 5.26). Mild sleep disorder was present in 36 patients, and severe sleep disorder in 25 patients. We noticed association between sleep disorder and increased BMI (p=0.0064, RR=2.925, 95% CI 1.16-7.36). We observed the risk for increased BMI dependent on the sleep disorder severity. Conclusions . Sleep disorder is a potentially modifiable risk factor which can be included in obesity therapeutic approach and management. Early diagnosis and treatment of sleep disorder is important in obesity prevention.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 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 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".