Adiposity in Children and CVD Risk: ApoB48 Has a Stronger Association With Central Fat Than Classic Lipid Markers
Bibliographic record
Abstract
CONTEXT: Atherosclerotic vascular disease begins in childhood and while progression is multifactorial, obesity in early life is an important risk factor for its development. OBJECTIVE: To determine whether fasting apoB48 remnant lipoproteins (relative to classic lipid markers), is elevated with increasing central adiposity over time in a cohort of Canadian children with a family history of obesity. DESIGN: Data were drawn from the ongoing prospective cohort of 630 Caucasian families in Québec, Canada, recruited to assess determinants and effects of childhood obesity (Québec Adiposity and Lifestyle Investigation in Youth [QUALITY]cohort). PARTICIPANTS: Children who attended baseline and first followup clinic visits (n =570; age 9.6 y). MAIN OUTCOME MEASURE: Trunk fat mass was determined by dual energy x-ray absorptiometry. Central fat mass index was calculated as CFMI = trunk fat mass/height(2) (kg/m(2)) and groups created (CFMI <1.5; 1.5-3.0; ≥3.0 kg/m(2)) to suggest lower, moderate, or higher central adiposity. Changes over time in outcomes (apoB48, triglyceride and total, low-, and high-density lipoprotein cholesterol) were compared using paired t test and multiple regression that adjusted for age, sex, and Tanner stage. RESULTS: Classic lipid markers (total and low-density lipoprotein cholesterol) improved at followup, whereas apoB48 became worse (increased). ApoB48 increased with increasing central adiposity, highest (37%) in children who transitioned from lower- to moderate-CFMI groups (ΔapoB48 = 1.5 μg/mL). For every 1 kg/m(2) increase in central adiposity over the 2-y period, an increase in apoB48 was 14-fold greater among children with lower baseline CFMI, compared with higher CFMI. CONCLUSIONS: Increased fasting concentrations of apoB48 may be representative of changes in adiposity at lower levels of central fat (early periods of risk).
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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 | 0.000 | 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) | 0.003 | 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".