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 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 | 0.000 |
| 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) | 0.000 | 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".