Adiponectin, Adiposity, and Insulin Resistance in Children and Adolescents
Bibliographic record
Abstract
CONTEXT: Determinants of adiponectin and its association with insulin resistance (IR) are less well studied in youth than in adults. OBJECTIVES: The objective of the study was to describe, in youth, the age- and sex-specific distribution of adiponectin concentrations and the association with demographic, anthropometric, and lifestyle factors, parental diabetes, and markers of IR. DESIGN, SETTING, PARTICIPANTS: We studied 1632 French Canadian youth aged 9, 13, and 16 yr who participated in the Québec Child and Adolescent Health and Social Survey, a province-wide, school-based survey conducted in 1999. RESULTS: Boys had lower adiponectin concentrations than girls by 17% (P < 0.0001). At age 16 yr, mean adiponectin concentrations were 27.7% (boys, P < 0.0001) and 13.3% (girls, P < 0.0001) lower than at age 9 yr (p(interaction) = 0.009). Mean adiponectin decreased for every unit increase in body mass index (BMI) Z-score by 8.1% in boys and 11.2% in girls (P < 0.0001). Growth-related change in BMI explained half the age effect in boys and all the age effect in girls. Self-reported pubertal status, physical activity, smoking, and parental diabetes were not independently associated with adiponectin. Fasting insulin and homeostasis model assessment-IR were not associated with adiponectin concentration. However, the interaction of adiponectin and BMI Z-score was significant in a multiple regression model of fasting insulin. CONCLUSIONS: Male sex and changes in body fat may be major determinants of the decreasing adiponectin concentrations of growing youth, which are accompanied by a dissociation of adiponectin and markers of IR. The relationship between adiposity and markers of IR is attenuated in those with higher adiponectin concentrations, making adiponectin a potential intervention target or risk marker.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".