EFECTIVIDAD DE LA ACTIVIDAD FÍSICA MAS DIETA SALUDABLE EN LA DISMINUCIÓN DE PESO EN ADULTOS CON SOBREPESO Y/O OBESIDAD.
Bibliographic record
Abstract
Objective: Systematize evidence on effectiveness of physical activity plus healthy diet in weight loss in overweight and/or obese adults; establish effective recommendations to avoid overweight in adults.Materials and Methods: The 10 scientific articles in this systematic review of the effectiveness of physical activity plus healthy diet in weight loss in overweight and/or obese adults have been found in databases: Scielo 10%, PubMed 20%, Cochrane 70% all high evidence studies, such as systematic reviews and meta-analysis with 80%, randomized controlled trials with 20%.Coming from countries such as Chile 10%, Norway 10%, Canada 10%, Japan 10%, Spain 10% and United States 50%.The revised studies show recommendations to prevent overweight in adults such as decreasing sugar use, salt, boosting fiber intake in food, practicing sports that incentivize physical movement and decrease sedentary overweight.Results: 100% of the articles in this systematic review show that healthy diet and physical activity are most effective in weight loss in overweight and/or obese adults.Conclusion: The 10 reviewed articles state that healthy diet and physical activity are most effective in weight reduction in overweight and/or obese adults, as these separate activities will delay body weight reduction.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".