Abstract B2: Effects of individual and combined diet and exercise intervention in postmenopausal women on adiponectin and leptin
Bibliographic record
Abstract
Abstract Introduction: Obesity and sedentary lifestyles are modifiable risk factors for several chronic diseases. Adiponectin and leptin play central roles in energy balance, insulin homeostasis and lipid/glucose metabolism. We examined the individual and combined effects of dietary weight loss and/or exercise on serum adiponectin and leptin concentrations. Methods: We conducted a 12-month randomized controlled trial in 439 overweight/obese postmenopausal women to examine biomarkers of breast cancer risk. Participants were randomly assigned to dietary weight loss (D) (N=118), moderate-to-vigorous intensity aerobic exercise (E), 225 minutes/week (N=117), combined diet + exercise (D+E) (N=117), or control (N=87). Blood samples were taken at baseline and 12 months follow-up. Changes in adiponectin and leptin were measured via radioimmunoassay. Results: Adiponectin increased significantly over the intervention period in the D+E (+6.6%; p=.0001) and D group (+9.5%; p<.0001), compared to controls (−0.4%). No statistically significant adiponectin changes were observed in the E intervention. In all intervention groups leptin decreased significantly compared to controls (D+E −40.1% p<.0001; D −27.1% p<.0001; E −12.1% p=0.005). When stratified by baseline BMI, we observed slightly stronger increases in adiponectin among those with BMI ≥ 30kg/m2 in the D+E intervention. Changes in leptin with the intervention were equally strong independent of baseline BMI. With increasing weight loss, adiponectin increased independent of the intervention group (D, D+E or E). Conclusion: Our study showed that a dietary weight-loss intervention had strong effects on adiponectin levels, independent of exercise. We also observed that lifestyle interventions associated with weight loss, are successful in reducing serum leptin concentrations. Citation Information: Cancer Prev Res 2011;4(10 Suppl):B2.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".