Health-related quality of life (QOL) in Medellín and its metropolitan area, with the implementation of the SF-36
Bibliographic record
Abstract
Health-related quality of life (qol) is the component which refers to the perception people have of their ability to lead a useful life and to develop their potential and, especially, of their overall health and the impact of disease and treatments on it. In order to evaluate the qol diverse scales were created. One of the most used of these is the SF-36, with which useful population-based reference values have been estimated in clinical and population-based research, in order to monitor the qol over time, among other uses. In Colombia these values are yet to be calculated. Objective: to obtain approximate qolvalues using the SF-36 Health Questionnaire in Medellin and its metropolitan area. Methodology: integrative quantitative study using data taken from 18 different pieces of research which used the Colombian version of the SF-36. Results: 54.4% of the respondents were male, who scored higher than women in all dimensions of qol. Scores ranged Calidad de vida relacionada con la salud con el SF-36... Facultad Nacional de Salud Publica 27 between 64.1 (sd: 22.5) in Mental Health and 40.8 (sd: 35.5) in Physical Performance. As age increases the score falls in the majority of categories, except in Social Function and Mental Health. Conclusion: the estimated values in these populations are less in all dimensions of qol than those from Mexico (except General Health), the United States and Canada, and are available for use in the evaluation of collective interventions, the follow-up for treatments given to patients and for national and international comparisons. ----------
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".