Obesity and type 2 diabetes mellitus in a birth cohort of First Nation children born to mothers with pediatric-onset type 2 diabetes
Bibliographic record
Abstract
BACKGROUND: Children who are born to mothers with pediatric-onset type 2 diabetes mellitus are exposed to a hyperglycemic intra-uterine environment throughout pregnancy. The growth patterns and risk of type 2 diabetes in these offspring may be influenced by unique gene-environment interactions during intra-uterine and postnatal life. SUBJECTS: We established a cohort of offspring of First Nation mothers with onset of type 2 diabetes before age 18 years in Manitoba, Canada. METHODS: We measured height or length and weight at study entry and annually thereafter with fasting blood glucose in offspring aged ≥ 7 years. We collected birth and breastfeeding history and determined the population-specific hepatic nuclear factor-1α (HNF-1α) G319S genotype of offspring at age 7 years. RESULTS: From July 2003 to April 2008, we enrolled 76 offspring of 37 mothers. Sixty-four percent (23/36) of the offspring aged 2-19 years were obese at initial assessment. The rates of obesity remained constant throughout the 5 years. As of April 2008, 7/28 (25%) of the offspring aged 7-19 years have diabetes including 6/14 (43%) aged 10-19 years. Most offspring with diabetes (5/7, 71%) were obese at diagnosis. All of the 7 offspring with diabetes have 1 or 2 copies of the G319S polymorphism. CONCLUSIONS: The prevalence of type 2 diabetes in this cohort of offspring of First Nation women with pediatric-onset type 2 diabetes is the highest ever reported. Obesity is an important postnatal risk factor for type 2 diabetes in this population and may result from a unique gene-environment interaction.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".