Participation restrictions among older adults with osteoarthritis: A mediated model of physical symptoms, activity limitations, and depression
Bibliographic record
Abstract
OBJECTIVE: Research emphasizes the negative impact of osteoarthritis (OA) on social participation, yet few studies have examined the roles of symptoms, activity limitations, and depression in this relationship. The present longitudinal study tested a model that hypothesizes that the relationship between physical symptoms and later participation restrictions among older adults with OA is mediated by activity limitations and depressive symptoms. METHODS: Participants were 184 community-dwelling senior adults (age>or=55 years) with a physician diagnosis of OA who were interviewed at 2 time points 18 months apart. Measures included demographic variables; a derived physical symptoms measure based on severity of pain, stiffness, and fatigue in the previous week; and depressive symptoms measured by the Center for Epidemiologic Studies Depression Scale. Measures of activity limitations and participation restrictions were derived by factor analysis of questions about difficulty in everyday life. Sequential multiple linear regression analyses controlling for demographic and illness-related variables were used to test for mediation. RESULTS: Severity of time 1 physical symptoms was associated with difficulties in participation 18 months later. Sequential introduction of variables showed that this relationship was partially mediated by time 1 activity limitations and time 1 depressive symptoms. When both of these variables were included in the model, the effect of symptoms severity was completely mediated. CONCLUSION: This study demonstrates the importance of taking into account both the physical (activity limitations) and psychological (depressive symptoms) consequences of OA symptoms and suggests that these factors act as a pathway to subsequent participation restrictions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".