Adiposity and Cardiometabolic Health Among Inuit of Nunavik: A 13-Year Follow-Up Study
Bibliographic record
Abstract
Background Obesity (BMI ≥ 30 kg/m 2 ) is a major determinant of cardiometabolic health, yet the clinical impact of weight changes on cardiometabolic health in the Canadian Inuit population remains unclear. Method Data were collected from 302 individuals (107 men and 195 women) who participated in the Qanuippitaa? 2004 and 2017 Nunavik Inuit Health surveys. Anthropometric indices [weight, body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR), percentage of body fat (% BF) and free fat mass], metabolic biomarkers, and hemodynamics were measured. Anthropometric characteristics and cardiometabolic risk factors were compared between 2017 and 2004 using Student's paired t -tests or Chi-square test, adjusted for medication. The impact of adiposity changes on cardiometabolic risk factors (blood pressure, lipid profile and glucose homeostasis parameters) was assessed using adjusted multivariate regression linear analysis. Results Inuit men and women (mean baseline age: 37.1 and 36.4 years) showed a significant increase in age-standardized %BF, despite similar BMI in 2004 and 2017. Inuit women had significant rises in age-standardized WC and WHtR (p<0.05), while men's remained stable. Increased abdominal fat was linked to adverse changes in some lipid (HDL-C, Total C/HDL-C ratio, apolipoprotein B) and glucose homeostasis (HOMA-IR) parameters (p<0.05), but not LDL-C, triglycerides, non-HDL-C, fasting glucose, or blood pressure. Conclusion Adiposity phenotypes and cardiometabolic risk factors are evolving among Nunavik Inuit, but increased abdominal fat is not linked to certain lipid parameters, fasting glucose, or blood pressure. Further research is needed to understand ethnic-specific traits and improve weight-related complication management.
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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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| 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".