Relationship between subjective well-being and social relational quality in patients with pulmonary tuberculosis
Bibliographic record
Abstract
Objective To investigate the subjective well-being and social relational quality of patients with pulmonary tuberculosis, and to analyze the relationship between them, so as to provide a new perspective to improve the quality of life of patients with pulmonary tuberculosis. Methods Totals of 346 patients with pulmonary tuberculosis were surveyed by the Social Relational Quality Scale and the Memorial University of Newfoundland Scale of Happiness. The pearson correlation analysis and multiple linear regression analysis were used to explore the relationship between subjective well-being and social relational quality of patients with pulmonary tuberculosis. Results The total score of subjective well-being in the patients with pulmonary tuberculosis was (21.70±6.65), and 31.21% of them was in the low level, 56.65% of them was in the medium level, 12.14% of them was in the high level. The total score of positive factor was (14.33±4.31), which was significantly lower than (16.63±4.68) of the negative factor (t=-6.724, P<0.01). The total score of social relational quality was (44.93±5.21). The score of subjective well-being was positively correlated with the score family cohesion, family commitment, friendship and social relational quality (r=0.453, 0.436, 0.408, 0.432, respectively; P<0.05). Multiple linear regression analysis showed that the family cohesion, family commitment, friendship were the predictors of subjective well-being of patients with pulmonary tuberculosis (P<0.05). Conclusions The subjective well-being and social relational quality were in the low level, and the social relational quality was the influencing factor of subjective well-being in patients with pulmonary tuberculosis, so we should improve the subjective well-being by improving the social relational quality. Key words: Pulmonary tuberculosis; Subjective well-being; Social relational quality; Correlation
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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 | 0.001 | 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 | 0.000 | 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 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".