The relationship between death anxiety and quality of life in hemodialysis patients
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
Background & Aim: Concerns about death may negatively affect health-related quality of life. However, little is known about the relationship between death anxiety and quality of life in life-threatening illnesses especially in hemodialysis patients. This research aimed to determine the relationship between death anxiety and quality of life in hemodialysis patients. Methods & Materials: In this descriptive correlational study, 200 hemodialysis patients were selected via stratified random sampling from hospitals affiliated with Zanjan University of Medical Sciences from April to May 2016. Data collection instruments included a demographic questionnaire, the Templer Death Anxiety Scale and the McGill Quality of Life questionnaire. Data analysis was performed by descriptive statistics, correlation test and linear regression model using SPSS v.22. Results: The average score of death anxiety and quality of life were respectively 46.54±10.85 and 82.55±19.01. There was not a significant relationship between death anxiety and quality of life (P>0.05, r=0.044). In the regression analysis, gender was the only significant predictor for death anxiety. This model explained 11.3% of the variance of death anxiety. Moreover, the results of regression model indicated that social support and religious beliefs were only significant predictors for quality of life in hemodialysis patients, and 17.2% of its variance was explained by this model. Conclusion: In the current study, no significant relationship was observed between death anxiety and quality of life in hemodialysis patients. Therefore, it is suggested that further research should be conducted in this area.
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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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it