Stage to Change Eating behavior and physical activity among adolescents with an excess body mass: impact on metabolic profile
Bibliographic record
Abstract
Introduction: Obesity in children and adolescents is usuallyrelated to metabolic alterations, and intervention programs are one of the strategies for the treatment of obesity and associated comorbidities. At the beginning of the intervention, the stages of readiness to change behavior indicate specific habits that the teenager plans to modify or not, and how long he or she intends to make the alterations. Objective: To assess the metabolic profile and their association with the stages of readiness to change eating habits and exercise behaviors in adolescents with overweight. Methods: Eighty-three adolescents with excess body weight underwent an assessment of anthropometric variables and metabolic profile (glucose, total cholesterol, LDL-c, HDL-c, non-HDL-c, VLDL, triglycerides, insulin). Besides, the stages of readiness to change behaviors for “size and amount of portions,” “amount of fat in the diet,” fruits and vegetable consumption,” and “physical activity practice,” anthropometric variables and metabolic profile were compared according to the stages of change. Results: About “fruits and vegetable consumption,” adolescents in the Maintenance group presented lower body weight than those from Action and Preparation groups. The Action group presented higher body weight than group “Contemplation” and it showed higher non-HDL-cholesterol than the groups “Pre-contemplation” and “Preparation.” In “physical activity practice,” the Maintenance group presented lower body weight, Body Mass Index, and body fat (in kg) than Action, Preparation, and Contemplation groups. The alterations in HDL-cholesterol reduced as the stages of change progressed in the “physical activity practice” domain. Conclusion: The stages of readiness to change behaviors impact anthropometric and metabolic variables in adolescents with excess body weight, and it is a recommended instrument to monitor intervention programs.
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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 | 0.001 |
| 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".