Examination of social disconnectedness and perceived social isolation on health and life satisfaction in community-dwelling adults with dysvascular lower limb loss
Bibliographic record
Abstract
BACKGROUND: People with physical disabilities are at risk for social isolation, which has been shown to negatively influence health and well-being. OBJECTIVES: The purpose of this study was to examine the association of social disconnectedness and perceived social isolation (PSI) on health-related quality of life (HrQoL) and life satisfaction in adults with dysvascular lower extremity amputation (LEA). STUDY DESIGN: Cross-sectional survey. METHODS: Data were collected from community-dwelling adults with dysvascular major LEA (N = 231). The main outcome measures were the Short-Form 36 and the Life Satisfaction-11. Other measures were used to quantify comorbidities/secondary health conditions, PSI, social disconnectedness, self-efficacy, social support, and social engagement. Three hierarchical regression models were conducted to predict (1) physical HrQoL, (2) mental HrQoL, and (3) life satisfaction. RESULTS: Approximately one-third of the sample had high levels of social disconnectedness and PSI. The regression model predicting physical HrQoL accounted for 47% of the variance and only found that higher levels of mobility, lower perceived impact of comorbidities/conditions, and higher levels of social engagement and self-efficacy were associated with better physical HrQoL. A model predicting mental HrQoL accounted for 36% of the variance, with older age, lower PSI, and higher levels of self-efficacy being significant predictors. Finally, the model predicting life satisfaction accounted for 56% of the variance, with older age, lower perceived impact of comorbidities/conditions, and higher self-efficacy remaining as significant predictors. CONCLUSIONS: These findings highlight that one-third of our sample were at risk for being socially isolated and that PSI was influential on mental HrQoL and life satisfaction. There is a need for approaches to address social isolation for people with dysvascular LEA living in the community to optimize their long-term health and well-being.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".