Ethnic differences in leptin and adiponectin levels between Greenlandic Inuit and Danish children
Bibliographic record
Abstract
OBJECTIVE: In a recent study, we found that Greenlandic Inuit children had a more adverse metabolic profile than Danish children. Aerobic fitness and adiposity could only partly account for the differences. Therefore, we set out to evaluate and compare plasma leptin and adiponectin levels in Danish and Inuit children. METHODS: In total, 187 Inuit and 132 Danish children (5.7-17.1 years) had examinations of anthropometrics, body fat content, pubertal staging, fasting blood and aerobic fitness. RESULTS: Plasma leptin was higher in Danish boys [3,774 (4,741-3,005)] [pg/mL unadjusted geometric mean (95% CI)] compared to both northern [2,076 (2,525-1,706)] (p < 0.001) and southern (2,515 (3,137-2,016)) (p < 0.001) living Inuit boys and higher in Danish girls [6,988 (8,353-5,847)] compared to southern living Inuit girls [4,910 (6,370-3,785)] (p = 0.021) and tended to be higher compared to northern living Inuit girls [5,131 (6,444-4,085)] (p = 0.052). Plasma adiponectin was higher for both Danish boys [22,359 (2,573-19,428)] [ng/mL unadjusted geometric mean (95% CI)] and girls [26,609 (28,994-24,420)] compared to southern living Inuit boys [15,306 (18,406-12,728)] and girls [18,864 (22,640-15,717)] (both p < 0.001), respectively. All differences remained after adjustment for body fat percentage (BF%), aerobic fitness, age and puberty. The leptin/adiponectin ratio was higher in Danish boys and tended to be higher in Danish girls compared to northern living Inuit boys and girls, respectively. These differences were eliminated after adjustment for BF%, aerobic fitness, age and puberty. CONCLUSIONS: In contrast to our hypothesis, plasma leptin was higher in Danish children despite a more healthy metabolic profile compared to Inuit children. As expected, plasma adiponectin was lowest in Inuit children with the most adverse metabolic profile.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".