Prevalence of type 2 diabetes, obesity and the metabolic syndrome among Canadian First Nations children in a remote Pacific coast community
Bibliographic record
Abstract
BACKGROUND: Type 2 diabetes mellitus (T2D) in children and adolescents is a growing public health concern. Although the prevalence of T2D in First Nations children has been documented to be as high as 1% in central Canada, no paediatric data are available for any Aboriginal community in British Columbia (BC). OBJECTIVE: To determine the prevalence of obesity, glucose intolerance and the metabolic syndrome in children living in a remote BC First Nations community. METHODS: Children who were six to 18 years of age and living in the community of Hartley Bay, BC, participated in the study. A medical history, a physical examination and a 2 h oral glucose tolerance test were completed. Overweight was defined as a body mass index between the 85th and 95th percentiles, and obese was defined as a body mass index greater than or equal to the 95th percentile, which were standardized for age and sex. RESULTS: Thirty of 34 children (88%) participated (mean +/- SD age 11.8+/-3.4 years). Ten children (33%) were obese, and five (17%) were overweight. There were seven children (23%) with abnormal glucose tolerance as per the 2007 American Diabetes Association criteria: five with only impaired fasting glucose ([IFG] 5.6 mmol/L to 6.9 mmol/L), one with both IFG and impaired glucose tolerance and one with T2D. However, using the 2008 Canadian Diabetes Association criteria, two children (6.7%) had abnormal glucose tolerance (one with IFG plus impaired glucose tolerance and one with T2D) because no child met the definition for IFG alone (6.1 mmol/L to 6.9 mmol/L). Four children (13%) met the criteria for the metabolic syndrome. CONCLUSIONS: There is a high prevalence of the components of the metabolic syndrome, including overweight, obesity and abnormal glucose tolerance, in the children of this community.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".