Prevalence of Overweight and Obesity in Children and Adolescents with Type 1 Diabetes Mellitus
Bibliographic record
Abstract
BACKGROUND: Information about the prevalence of obesity in children with type 1 diabetes mellitus (DM1) is inconsistent and limited. The burden of the concurrent problems of obesity and DM1 can have notable medical, psychological, and social implications for both patients and their families. AIMS: To determine prevalences of overweight and obesity in children with DM1 compared to a control population. METHODS: In a cross-sectional study, we compared the prevalence of overweight/obesity in 390 children with DM1 (males 54%) and 565 controls (CONT; males 60%) aged 6 to 16 years. Overweight and obesity were defined as body mass indices between the 85th and 95th percentiles, and greater than the 95th percentile for age, respectively. RESULTS: Overall, 29.5% DM1 and 18.1% CONT (p < 0.001) were either obese or overweight. The prevalence of obesity alone did not differ (DM1 5.4% vs CONT 8.2%), but a greater rate of overweight was seen in the DM1 group (DM 24.1% vs CONT 10.0%, p < 0.001). Rate's of overweight were higher in the DM1 than CONT across all age groups and in both genders (males: DM1 20.1% vs CONT 8.9%, p < 0.001; females: DM1 28.7% vs CONT 11.5%, p < 0.001). Only females showed an increase in overall overweight/obesity rate (DM1 34.8% vs CONT 16.4%, p < 0.001) and this was most evident in older girls. CONCLUSIONS: Children with DM1 are more overweight, but not more obese, than their nondiabetic counterparts. Additional research is warranted to evaluate the characteristics of DM1 and its management that may influence weight gain.
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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 | 0.000 |
| 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 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".