Overweight and obesity among children at risk of intellectual disability in 20 low and middle income countries
Bibliographic record
Abstract
BACKGROUND: Children with intellectual disability (ID) in high income countries are at significantly greater risk of obesity than their non-disabled peers. We aimed to estimate the prevalence of overweight and obesity in 3 to 4-year-old children who are/are not at risk of ID in low and middle income countries. METHOD: Secondary analysis of Round 4 and 5 UNICEF Multiple Indicator Cluster Surveys (MICS) from 20 low and middle income countries that included a total of 83 597 3 to 4-year-old children. RESULTS: Few differences in risk of overweight or obesity were apparent between 3 and 4-year-old children identified as being at risk/not at risk of ID in 20 low and middle income countries. In the two countries where statistically significant differences were observed, prevalence of overweight/obesity was lower among children at risk of ID. CONCLUSIONS: These results stand in stark contrast to evidence from high income countries which suggest that children with ID are at significantly increased risk of obesity when compared to their non-intellectually disabled peers.
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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 | 0.010 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.014 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".