Effects of Maternal Surgical Weight Loss in Mothers on Intergenerational Transmission of Obesity
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: By studying cardiometabolic risk factors in children born after maternal biliopancreatic diversion bariatric surgery (AMS) compared with those in children born before maternal surgery (BMS), we tested the hypothesis that significant maternal weight loss may modify obesity-related factors transmitted via the intrauterine environment. DESIGN: Anthropometry and fasting blood levels were studied in 49 mothers who had lost 36 +/- 1.8% body weight sustained for 12 +/- 0.8 yr and their 111 children (54 BMS and 57 AMS) aged 2.5-26 yr. RESULTS: AMS children had lower birth weight (2.9 +/- 0.1 AMS vs. 3.3 +/- 0.1 kg BMS, P = 0.003) associated with a reduced prevalence of macrosomia (1.8 AMS vs. 14.8% BMS, P = 0.03) with no difference in underweight. At the time of follow-up, AMS children exhibited 3-fold lower prevalence of severe obesity (11 vs. 35%, P = 0.004), greater insulin sensitivity (homeostasis model assessment of insulin resistance index 3.4 +/- 0.3 vs. 4.8 +/- 0.5, P = 0.02), improved lipid profile (cholesterol/high-density lipoprotein cholesterol 2.96 +/- 0.11 vs 3.40 +/- 0.18, P = 0.03; high-density lipoprotein cholesterol 1.50 +/- 0.05 vs. 1.35 +/- 0.05 mmol/liter, P = 0.04), lower C-reactive protein (0.88 +/- 0.17 vs. 2.00 +/- 0.34 microg/ml, P = 0.004), and leptin (11.5 +/- 1.5 vs.19.7 +/- 2.5 ng/ml, P = 0.005) and increased ghrelin (1.28 +/- 0.06 vs.1.03 +/- 0.06 ng/ml, P = 0.005) than BMS offspring (AMS vs. BMS, respectively, for all). CONCLUSIONS: This unique study of children aged 2.5-26 yr born before and after maternal antiobesity surgery demonstrated improvements in cardiometabolic markers sustained into adolescence, attributable to an improved intrauterine environment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".