Food consumption, obesity and abnormal glycaemic control in a <scp>C</scp>anadian <scp>I</scp>nuit community
Bibliographic record
Abstract
Dietary and lifestyle factors may contribute to diabetes and obesity in the Canadian Inuit. We documented dietary patterns, physical activity level, obesity, blood glucose abnormalities and diabetes prevalence in a Canadian Inuit community. There were 250 Inuit residents of Repulse Bay, Nunavut, who had an interview about diet and physical activity, measurement of weight and height, and laboratory studies (194 subjects). Children, adolescents and younger adults (aged < 48 years) consumed significantly less country food and more processed snack foods and sweet drinks than older adults (aged ≥ 48 years). Only 88 of 250 subjects (35%) reported that they went out on the land once or more per week. Of the 85 children and adolescent subjects (aged 7-17 years), 11 (13%) were obese. Average body mass index for adults (aged ≥ 18 years) was 29 ± 6 kg m(-2) , and 61 adults (37%) were obese (body mass index ≥30 kg m(-2) ). In the 140 adults who had laboratory studies, 18 adults (13%) had a blood glucose abnormality, including 10 adults (7%) with impaired fasting glucose, four adults (3%) with impaired glucose tolerance and six adults (4%) with diabetes (five adults previously undiagnosed). Twelve of the 194 subjects tested (6%) had fasting insulin ≥140 pmol L(-1) (mean, 196 ± 87 pmol L(-1) ). In summary, there was a high prevalence of poor dietary choices, limited physical activity, obesity and type 2 diabetes in this Inuit community. Public health programmes are needed to improve the dietary and health status 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 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".