Healthy lifestyle moderates the relationship between cardiovascular disease with blood pressure, body composition, carotid intima-media thickness, and glycated hemoglobin among adults
Bibliographic record
Abstract
We investigate whether the adherence to healthy lifestyle recommendations (regular physical activity, healthy diet, reduced alcohol consumption, nonsmoking) moderates the relationship between cardiovascular disease (CVD) and its risk factors (obesity, diabetes, dyslipidemia, and hypertension) with clinical variables among adults. This cross-sectional population-based study comprised 862 adults (39.3 ± 11.4 years, 46.4% men) from Florianópolis, Brazil. Clinical variables were systolic (SBP) and diastolic blood pressure, waist circumference, body mass index (BMI), percentage of body fat, muscular strength, carotid intima-media thickness (IMT), high sensitive C-reactive protein, and lipid and glucose metabolism markers. Multiple linear regression adjusted for confounding factors was used. Reduced IMT and HbA1c were observed in males with CVD or its risk factors who adopted healthy lifestyle recommendations (p < 0.001), and lower SBP levels were observed in females without CVD or its risk factors (p = 0.034). Females with CVD or its risk factors who followed healthy lifestyle recommendations showed higher BMI (p = 0.035). Adherence to number of healthy lifestyle recommendations moderated cardiovascular health in adults with CVD and without CVD. Novelty The adherence to healthy lifestyle recommendations moderated the relationship between IMT and HbA1c with CVD or its risk factors among males. The lower values of SBP among females without CVD or its risk factors were moderated by the adherence to healthy lifestyle recommendations.
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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 | 0.000 | 0.001 |
| 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".