Quality of Life, Perceived Social Support and Death Anxiety Among People Having Cardiovascular Disorders: A Cross-Sectional Study
Bibliographic record
Abstract
Aim: To assess the quality of life, perceived social support, and death anxiety among people having cardiovascular disorders Study type: A Cross-sectional study Place and Duration: This study was conducted at Civil Hospital, BMCH Quetta Pakistan from June 2020 to June 2021 Methodology: This study was designed to evaluate the correlation between quality of life, hope, and death anxiety among people having cardiovascular disorders. We gathered data by using a convenience sampling technique for 4 months. We used the questionnaire method for our survey. Our questionnaire was based on five sections including basic demographic, the 17-item McGill QoL (MQoL) Questionnaire, Herth hope to score, Thorson-Powell Death Anxiety Scale (TPDAS), and Death depression scale (DDS). Results: Out of 500 participants half of them were female (52.4%), most of the participants were married with no formal education and belonged to poor or middle-class families. Participants with intermediate education levels who were financially dependent on the government had a better quality of life than others. We observed that patients with myocardial infarction (MI) had higher levels of anxiety. Furthermore, we observed that patients with a belief in life after death had higher death anxiety than those who don't believe. Conclusion: Our results concluded a positive association among quality of life and hope. We examined that social support plays a vital role in managing CVD disorders. However, patients with myocardial infarction had high levels of death anxiety than others. Keywords: Cardiovascular disorders, coronary artery disease, myocardial infarction, death anxiety, quality of life, social support.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".