The Relationship Between Quality of Life With Marital Satisfaction in Nurses in Social Security Hospital in Zahedan
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: Marital satisfaction is one of the most important determinative factors of healthy function in family and can be affected by some factors. AIM: This study was conducted aimed to determine the relationship between quality of life and marital satisfaction in nurses in Social Security hospital in Zahedan. METHOD: In this descriptive and correlational study, the population was the all of the nurses in various wards in Social Security hospital in Zahedan. The sample size was 103 and data collection was done through quality of life questionnaire (War and Sherborn) and Enrich Marital Satisfaction Scale. Data analysis was done through SPSS15 and using pearsons' correlation coefficient and stepwise regression. RESULTS: The aspects of physical functioning, role limitations due to physical health problems, role limitation due to emotional problems had a significant positive correlation and the bodily pain had a significant reverse correlation with aspects of marital satisfaction. The aspects of role limitations due to physical health problems and bodily pain were predictors of marital satisfaction. CONCLUSION: The results of study demonstrated the importance of pay attention to family issues and marital satisfaction and in this regard, the promotion of all aspects of quality of life is essential.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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