Body mass index and waist circumference of Latin American adult athletes with intellectual disability
Bibliographic record
Abstract
OBJECTIVES: To examine both body mass index (BMI) status and waist circunference (WC) in a large international sample of adult Special Olympics participants from Latin America. It also explored the association of age and sex with obesity in this population. MATERIALS AND METHODS: BMI and WC records from a total of 4174 (2683 male and 1491 female) participant records from the Special Olympics International Health Promotion database were examined. RESULTS: The prevalence of overweight and obesity was quite high (i.e. > 40%), but generally lower than studies involving adults with intellectual disabilities from Europe and the USA. Chi-square analyses revealed that both increasing age and being female significantly predicted levels of overweight, obesity, and WC. CONCLUSIONS: These results suggest that efforts need to be made to prevent and reduce rates of overweight and obesity among Latin American Special Olympics participants, particularly women.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".