Is severe obesity a cardiovascular health concern in the inuit population?
Bibliographic record
Abstract
OBJECTIVES: Obesity is rising globally and severe obesity (SO) [body mass index (BMI) = 40 kg/m(2) or = 35 kg/m(2) with co-morbidity] is growing at a much faster rate. Amongst the Inuit, evolution of SO remains unknown. We investigated whether the level of SO changed and whether the cardio-metabolic profile improved or deteriorated in Nunavik Inuit between 1992 and 2004. METHODS: SO subjects were selected from two comparable population-based studies. These studies were undertaken in Nunavik (Quebec, Canada), and were performed in two different time frames, separated by 12 years. Physiological (lipid profile, fasting insulin, fasting glucose, and blood pressure) as well as anthropometric data (BMI, waist circumference, and waist to hip ratio) were collected in both studies. RESUTLS: There was approximately a fourfold increase in the prevalence of SO in comparable age groups. This increase affected both genders between 1992 and 2004. Smoking rates in SO populations have significantly decreased during this period, from 85% to 41% (P < 0.0001). Overall, there were no statistically significant differences in the cardio-metabolic profile (insulin, total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides, systolic and diastolic blood pressures, BMI, and waist to hip ratio). There was, however, a significant increase in waist circumference (P < 0.001), especially in women (P < 0.01). Type 2 diabetes remained stable, at around 40% in this population. CONCLUSION: Although the prevalence of SO increased, the cardio-metabolic profile remained stable. Nevertheless, regular monitoring of chronic disease in this population remains crucial.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".