Predictors of quality of life among individuals who have a lower limb amputation
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
OBJECTIVE: The purpose of this study was to identify factors that predict an individual's subjective quality of life (QoL) after having a lower limb amputation. DESIGN: Cross-sectional descriptive study design. SUBJECTS: A total of 415 unilateral, above knee (27.0%) and below knee (73.0%) amputees with an average age of 61.9 years (SD = 15.7) who had lost their limb related to vascular (53.0%) or non-vascular (47.0%) etiology. METHODS: Medical chart review, questionnaires (Frenchay Activities Index, Interpersonal Support Evaluation List, the Center for Epidemiology Studies - Depression scale, Prosthetic Evaluation Questionnaire mobility subscale, and the Activities-specific Balance Confidence Scale) and a QoL Visual Analogue Scale were assessed using multiple linear regression analysis. RESULTS: The analysis revealed seven significant factors (depression, perceived prosthetic mobility, social support, comorbidity, prosthesis problems, age and social activity participation) as predictors of subjects' perceived QoL. Depression explained 30% of the variation, while the full model explained 42% of the variation. CONCLUSION: Several modifiable characteristics influence QoL after lower limb amputation including depression and participation in daily living. This finding suggests the importance of addressing individuals' affective status to regain or maintain QoL.
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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 | 0.000 | 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 it