Frailty as a Moderator of the Relationship Between Social Isolation and Health Outcomes
Bibliographic record
Abstract
Abstract Previous studies have reported that social isolation is a predictor of adverse outcomes, which is also closely associated with frailty. Very little is known about the moderating role of frailty on the impact of social isolation on health. We performed a cross-sectional analysis of the first wave of the FRéLE longitudinal study, consisting of 1643 Canadian community-dwelling older adults aged 65 years and over. Multivariate regression analysis was performed to examine the interaction between social isolation and frailty on health, controlling for socioeconomic characteristics and life habits. Social isolation was measured through social participation, social networks and support for different social ties namely, friends, children, extended family, and partner. In contrast to Berkman’s theory on the impact of social isolation on health, we found that frailty had no modifying role on the effects of social isolation on health. Frailty was significantly associated with all adverse outcomes. Less social participation was associated with ADLs, IADLs, depression and cognitive decline. The absence of friends was associated with depression and cognitive decline. Less support from children and having no children were associated with ADLs, comorbidity and depression. Fewer contact with extended family and having no family members were notably associated with ADLs and IADLs. Those who received less support from a partner or had no partner were more depressed and had more difficulties in performing IADLs. This study suggests that older adults who participate in social activities and have social ties, feel better with respect to physical health than those who feel isolated.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".