The association between childhood overweight and obesity and otitis media
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to examine the association between otitis media and childhood obesity in a population-based sample of elementary school children in the Canadian province of Nova Scotia. METHODS: The study design is a prospective cohort study, linking data from a population-based survey of Grade 5 students (aged 10-11 years) in the Canadian province of Nova Scotia in 2003 with Nova Scotia administrative health data. Measured body mass index was used to define weight status based on the age- and gender-specific cut-off points of the International Obesity Task Force. Health administration data for each child was linked via Health Card numbers. The primary outcome was healthcare utilization (physician visits and costs) for suppurative otitis media (International Classification of Diseases [ICD]9: 382; ICD10: H65-66) with no previous diagnosis of otitis in the last 30 days. RESULTS: Relative to normal weight children, obese children had more healthcare provider contacts for otitis media (adjusted incidence rate ratio 2.03, 95% confidence interval [CI] 1.66-2.49), incurred more costs per otitis media-related visit ($47 vs. $24, P = 0.0001) and had higher odds to have repeated otitis media (adjusted odds ratio 2.27, 95% CI 1.54-3.35). Socioeconomic factors, a history of breastfeeding, presence of an allergic disorder or chronic adenoid/tonsil disorder did not change the association between obesity and otitis media. CONCLUSION: There is a clear association between childhood obesity and otitis media that cannot be explained by confounding by socioeconomic factors or clinically associated disorders.
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.
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 | 0.001 |
| 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 | 0.000 | 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 it