Lifestyle Management Of Metabolic Syndrome In Primary Care
Bibliographic record
Abstract
Both physical activity and dietary interventions have been shown to improve diabetes outcomes and constituents of the metabolic syndrome. Lacking are studies of combined efficacy and translation of these results to the commmunity. PURPOSE: We studied the impact of a combined diet and physical activity prescription in primary care patients with high-normal blood pressure [135-139 mmHg (systolic) and 85-89 mmHg (diastolic)],and/or impaired glucose tolerance (IGT) [fasting glucose level of 6-6.9mmol/L]. METHODS: 89 patients (40 males and 49 females), with a mean age of 53.3 years) received a Mediterranean diet and 75% max HR exercise prescription for one year. At each visit, the following variables were assessed: caloric profile; serum lipidsblood sample; VO2max, ECG, Echocardiogram, BMI, ABPM and behavioral measures. First and last vists were compared with ANOVA. RESULTS: The intervention improved fitness (P < 0.001), reduced systolic blood pressure (P < 0.001), LDL cholesterol (P < 0.01), fasting glucose (P < 0.01), and triglycerides (P < 0.01) BMI (P < 0.05), waist circumference (P < 0.001) over 12 months. Subjects increased exercise and diet self efficacy (P < 0.01) and improved their stage of change for both diet and physical activity (P < 0.001) from the preparation stage to the action and maintenance stages. There was no difference in CRP CONCLUSIONS: Our matched lifestyle prescription delivered in primary care was effective in improving clinical outcomes of metabolic syndrome and self efficacy among community patients
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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 | 0.001 | 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) | 0.002 | 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".