Hábitos de Vida Saludable y Autoeficacia en Universitarios de un Campus de una Universidad Pública
Bibliographic record
Abstract
Healthy lifestyles/habits are of great importance in promoting health and preventing mental illness in general. In the last decade, an increase in the consumption of foods high in fat and carbohydrates, such as sweets, soft drinks, industrial products and snacks, has been observed; in addition to an increase in sedentary behaviors that influence health (Torres et al, 2019). For this reason, the general objective of the research is to establish if there is a relationship between the presence of healthy lifestyle habits and the levels of self-efficacy in university students on a public university campus. The instruments “FANTASTIC Test” designed at the Department of Family Medicine at McMaster University in Canada and the “Baessler & Schwarzer General Self-Efficacy Scale” (1996) were applied. Among the most notable findings, it was found that students maintain a medium level of self-efficacy regardless of whether or not they have healthy lifestyle habits. The difference occurs in terms of the high level of self-efficacy, those who do have healthy lifestyle habits stand out against those who do not have healthy habits.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".