The hefty fetal phenotype hypothesis revisited: high birth weight, type 2 diabetes and gestational diabetes in a Saskatchewan cohort of First Nations and non-First Nations women
Bibliographic record
Abstract
Although low birth weight (LBW) increases the risk for type 2 diabetes (T2DM), the relationship between high birth weight (HBW) and T2DM is less definitive and largely confined to North American Indigenous populations. We re-examined the relationship between LBW (4000 g) and both T2DM and gestational diabetes (GDM) among First Nations and non-First Nations women in Saskatchewan. We analyzed new data for female subjects from a 2001 case-control study that led to our hefty fetal phenotype hypothesis. Using survival analysis techniques and a validated algorithm for identifying diabetes in health care administrative data, we followed a 1950-1984 birth cohort of 2003 women until March 31, 2013. Cox regression analysis determined the time to occurrence of first episode of GDM and diagnosis of T2DM by birth weight and ethnicity. First Nations women with HBW demonstrated a greater risk for developing both T2DM [hazard ratios (HR) 1.568; 95% confidence interval (CI) 1.188, 2.069] and GDM (HR 1.468; 95% CI 1.016, 2.121) than those with normal birth weight (NBW). Non-First Nations women with LBW had a greater risk of developing GDM than those with NBW (HR 1.585; 95% CI 1.001, 2.512). HBW is a risk factor for GDM and T2DM among First Nations women. This is likely due to exposure of these women to their own mothers' diabetic pregnancies or gestational impaired glucose tolerance. This inter-generational amplification of T2DM risk mediated through prenatal exposures appears to play a substantial role in the epidemic of T2DM among First Nations peoples.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".