Individual Response to Standardized Exercise: Total and Abdominal Adipose Tissue
Bibliographic record
Abstract
PURPOSE: (1) Determine the effect of exercise amount and intensity on the proportion of individuals for whom the adipose tissue (AT) response is above the minimal clinically important difference (MCID); and (2) Examine whether clinically meaningful anthropometric changes reflect individual AT responses above the MCID. METHODS: Men (n = 41) and women (n = 62) (52.7 ± 7.6 yr) were randomized to control (n = 20); low amount low intensity (n = 24); high amount low intensity (n = 30); and high amount high intensity (n = 29) treadmill exercise for 24 wk. The AT changes were measured by MRI. 90% confidence intervals for each individual's observed response were calculated as the observed score ±1.64 × TE (technical error of measurement). RESULTS: For visceral AT, HAHI and HALI had a greater proportion of individuals whose AT change and 90% confidence interval were beyond the MCID compared to controls (P < 0.006). For all other AT depots, all exercise groups had significantly more individuals whose changes were beyond the MCID compared with controls. Of those who achieved a waist circumference or body weight reduction ≥ the MCID, 76% to 93% achieved abdominal, abdominal subcutaneous, and visceral AT changes ≥ the MCID. CONCLUSIONS: Increasing exercise amount and/or intensity may increase the proportion of individuals who achieve clinically meaningful visceral AT reductions. Waist circumference or body weight changes beyond a clinically meaningful threshold are predictive of clinically meaningful abdominal adiposity changes.
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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".