Determinants of Improvement In Left Ventricular Diastolic Function Following a 1-Year Lifestyle Modification Program in Abdominally Obese Men with Features of the Metabolic Syndrome
Bibliographic record
Abstract
BACKGROUND: Abdominal obesity and presence of the metabolic syndrome (MetS) are associated with cardiac abnormalities. Among those, left ventricular diastolic dysfunction (LVDD) is the most frequently encountered in clinical practice. Few studies evaluated the reversibility of LVDD by an approach promoting lifestyle modifications in abdominally obese subjects with MetS. METHODS: We assessed the impact of a 1-year lifestyle modification program combining nutritional and physical activity counseling on LVDD and metabolic profile of abdominally obese men with MetS. Echocardiograms, oral glucose tolerance test, lipids profile, dual energy X-ray absorptiometry, computed tomography scans (visceral obesity assessment), heart rate variability (HRV), as well as maximal and submaximal exercise tests were performed in participants before and after a 1-year program combining healthy eating and a physical activity/exercise program. RESULTS: Fifty-one abdominally obese men participated in this study. At baseline, 86% of the participants had LVDD (n = 44). After the 1-year program, LVDD improved in 57% of participants (n = 29, P < 0.0001). All metabolic, adiposity, and exercise tolerance measures improved from baseline (P < 0.0001), but were not associated with improvement in LVDD. Participants who improved LVDD had better exercise performance at baseline. Exercise tolerance during the submaximal exercise test, parasympathetic cardiac autonomic activity, and fasting insulin predicted 50% of LVDD improvements. CONCLUSIONS: There was a significant improvement in LVDD after a 1-year lifestyle intervention program in abdominally obese men with MetS, such an improvement being associated with increased exercise tolerance, enhanced HRV, and reduced insulin levels.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".