Dyslipidemia and other cardiovascular risk factors in a Canadian First Nation pediatric population with type 2 diabetes mellitus
Bibliographic record
Abstract
OBJECTIVE: The objectives of this study were to describe the prevalence of dyslipidemia in a population of youth with type 2 diabetes mellitus (T2DM) and to examine the relationship between the lipid parameters and other known cardiovascular risk factors. METHODS: Ninety-nine youth aged 7-17 yr with T2DM had a fasting blood sample for lipid and lipoprotein levels [total cholesterol, low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol, triglycerides (TG)], apolipoprotein B (apoB), blood glucose, and hemoglobin A1c (HbA1(C)). Lipid profiles were compared with a non-diabetic population of Canadian First Nation (FN) youth and to published reference data. Rates of obesity, hypertension, smoking, and poor glycemic control were recorded and the relationship between these cardiovascular risk factors and lipid patterns was analyzed. RESULTS: Fifty-seven percent of the subjects were female and 95% were of self-declared FN heritage. The mean levels of all components of the lipid profile were elevated in the group with T2DM compared with the control population (p < 0.001). ApoB levels exceeded the 75th %ile of the control population in 72% of those with T2DM. Thirty-seven percent of those with T2DM had elevated TG and apoB levels. Forty percent were smokers. Fifty-nine percent had an HbA1(C) that was greater than 7.0%. Thirty-nine percent had a BMI z-score >/= 2 but less than 15% had systolic hypertension. CONCLUSIONS: Atherogenic lipid profiles are common in youth with T2DM. Elevated apoB levels with normal LDL-c levels highlight the importance of a full lipid panel including apoB in defining potential modifiable cardiovascular risk in this population with high rates of obesity, smoking, and poor glycemic control.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".