Depressive Symptoms Effect on Self Care Behavior During the First Month After Myocardial Infarction
Bibliographic record
Abstract
AIM: To determine the effect of severity of depression symptoms on self care behavior in 15th and 30th day after myocardial infarction (MI). MATERIALS & METHODS: Gathering data for this cross sectional study was done by Beck depression and self care behavior questionnaires in a heart especial hospital in Rasht in north of Iran .Sample size was 132 after MI patients and data collected from June 2011 to January 2012. RESULTS: Scores of depression symptoms in 15th and 30th day after MI and score of self care behavior in these days had significant difference (P<0.0001) .Spearman test showed self care behavior had significant relationship with depression symptoms (P<0.0001). GEE model also showed with control of socio demographic and illness related factors, depression symptoms can decrease self care behavior scores (P<0.001). CONCLUSION: Severity of depression symptoms increase in 15th to 30th day after MI .This issue can affect on self care behavior. This issue is emphasized on nurses' notice to plan suitable self care program for these patients.
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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 | 0.002 |
| 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 | 0.001 |
| 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".