Relationship between Spiritual Intelligence and Self-Care of Hemodialysis Patients
Bibliographic record
Abstract
BACKGROUND: Chronic renal failure is a progressive and irreversible disorder which disables kidneys to excrete metabolic waste and maintain fluid and electrolyte and exposes the patients to different types of malfunctions. Hemodialysis is one of the main treatments for chronic kidney failure patients. Despite the therapeutic effect of hemodialysis in end stage renal failure, patients experience multiple physical and psychological stresses. Since body and spirit are correlated, religious attitude and spiritual intelligence can act as a potential support. Studies have shown that spiritual beliefs influence health and self-care behaviors of patients. The purpose of this study is to examine the relationship between spiritual intelligence and self-care in hemodialysis patients.METHODS: This study used a descriptive-analytic methodology. Participants included 122 hemodialysis patients in teaching hospitals of Imam Reza and Imam Khomeini in Kermanshah. Inclusion criteria included age >18, 6 months of hemodialysis or more, and willingness to participate. Demographics, self-care checklist as well as Abdollahzadeh’s spiritual intelligence questionnaire were used to collect data. Data was analyzed by SPSS, V22, using descriptive statistics (percentages, diagrams, mean) and Pearson correlation coefficient.RESULTS: participants were of both genders (50% female and 50% male), majority of whom aged 60-70 (22.3%), with less than high school education (72.1%) and unemployed (83 %). The results showed that R = .211 at 95% confidence level, suggesting a significant relationship between spiritual intelligence and self-care. A majority of patients (32%) had moderate spiritual intelligence (score 111-128 for SQ questionnaire). The mean of self-care was 56.32; patients had the highest self-care (24.99) for skin and fistula and the lowest self-care (6.20) for sleeping and rest.CONCLUSION: There is a significant correlation between spiritual intelligence and self-care. Therefore, spiritual aspects can promote self-care behaviors among 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".