Birth weight predicts both proteinuria and overweight/obesity in a rural population of Aboriginal and non-Aboriginal Canadians
Bibliographic record
Abstract
The risk for many chronic diseases appears to be mediated in part by birth weight. Among Aboriginal Canadians, the prevalence of end-stage renal disease and cardiovascular disease risk is disproportionately high, largely because of elevated diabetes prevalence. The relationships between birth weight (and other potential risk factors) and diabetes, hypertension, proteinuria and overweight/obesity were explored in 1439 rural Albertans (Canada), of whom 67.3% were Aboriginal. At voluntary outreach screening programs, demographic and clinical data were measured and recalled birth weights recorded. Statistical modeling using logistic regression was used to evaluate the relationships. In the final adjusted models, associations remained for low birth weight and proteinuria [odds ratio (OR) 2.36; 95% CI 1.24-4.49], as well as for high birth weight and overweight/obesity (OR 1.58; 95% CI 1.00-2.53). These findings emphasize the need to strive for healthy pregnancies, with appropriate weight gains in these and other disadvantaged populations around the world.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".