Analysis on influencing factors of subjective well-being among geriatric patients with fractures
Bibliographic record
Abstract
Objective To identify the influencing factors of the subjective well-being of geriatric patients with fractures and to provide a theoretical basis for targeted nursing interventions .Methods The Memorial University of Newfoundland Scale of Happiness （ MUNSH ） , Social Support Rating Scale （ SSRS ） , Medical Coping Modes Questionnaire （ MCMQ ） and general questionnaire were used to survey 45 geriatric patients with fractures within one-week after hospitalization .Results The score of subjective well -being was （25.77 ±12.03 ） in the participants.Among the targeted group of geriatric patients with fractures , the subjective well-being was positively correlated with subjective support and objective support （r=0.547, 0.649, respectively;P〈0.05）, and negatively correlated with the resignation coping style （r=-0.707,P〈0.05）. The subjective well-being was negatively correlated with the factors of spouse and living conditions （ r =-0.311, -0.347, respectively;P〈0.05）, while it was positively correlated with income （ r=0.535,P〈0.01）.Conclusions Favorable social support and coping style , sound family structure and living conditions as well as relatively high income will help to improve subjective well-being of geriatric patients with fractures . Nurses should provide targeted nursing intervention , while the society and families should care the elderly . Key words: Elderly; Fractures; Social support; Subjective well-being
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 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".