Intervención de Enfermería en una familia mexicana con factores de riesgo para enfermedades crónico-degenerativas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction: Family, as a society, has direct influences on the habits and customs of its members. Along the times, the familial structure and dynamics have been changing; for example, regarding to its practices and behaviors such as food preparation and consumption, recreation, and physical activities. Diabetes mellitus and blood hypertension are the main chronic and de - generative illnesses related to sedentary and unhealthy eating life styles. Objective: To provide health education to a specific family so that it can improve its self-care and health behaviors, as a result of its eating habits, physical activity, and chronic and degenerative illnesses prevention knowledge enhancement. Methods: The familial structure, development, and dynamics were assessed using the Calgary & Friedman model. After the detection of actual and potential problems, an education intervention focused on healthy eating habits, physical activity, and chronic and degenerative illnesses risk factors addressing, was developed. Results: This family acquired the corresponding knowledge, and engaged into an unhealthy ha- bits modification. Discussion: Assessing families is useful for nursing professionals in order to identify unhealthy behaviors as well as trans-generational illness patterns. Conclusions: In order to obtain results such as habits and life style modifications, it is necessary to continue following the education intervention up.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it