Coping strategies associated with participation and quality of life in older adults
Bibliographic record
Abstract
BACKGROUND: It is important to understand the coping strategies that optimize or restrict participation or quality of life, especially for older adults. PURPOSE: The purpose of this study was to examine the associations between, on the one hand, problem- and emotion-focused coping strategies used to deal with aging limitations or health problems and, on the other hand, participation and quality of life. METHOD: A cross-sectional design was used with 82 community-dwelling participants aged 65 and older. FINDINGS: Participants used both problem-focused (distancing, self-control) and emotion-focused (seeking social support, planful problem solving, positive appraisal) coping strategies to deal with aging limitations or health problems. Only a few moderately significant associations were found except for escape-avoidance coping strategies, which were significantly associated with lower participation and quality of life. IMPLICATIONS: Before developing interventions to improve or maintain older adults' participation and quality of life, more studies are needed to better understand coping strategies used by older adults to deal with aging limitations or health problems and especially escape-avoidance strategies.
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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 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".