The effect of individual education on patients’ physical activity capacity after myocardial infarction
Bibliographic record
Abstract
The present study aims to determine the effects of individual education and counselling given to first-time myocardial infarction patients, including its effect on compliance with treatment. The sample comprised 90 patients, 45 in the intervention and 45 in the control group, selected by sequential sampling from first-time myocardial infarction patients. Data were collected between April and November 2008 by means of patient information form, International Physical Activity Questionnaire, 6 min walk test, Modified Borg Scale, Morisky Medication Adherence Scale and Canadian Cardiovascular Society Angina Grade Classification. In the intervention group more improvement was observed in comparison with the control group in terms of frequency of physical activity, body mass index and waist circumference. It was observed that the intervention group's metabolic equivalent of task values and 6 min walk test distance increased more in comparison with the control group 3 months after baseline, and there was a statistically significant difference. The results indicated that individual education and counselling provided to patients having experienced acute myocardial infarction increased functional capacity by providing patients with advice on how to lose weight and by improving compliance with treatment through physical activity behaviours (frequency and duration).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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".