Different Components of Subjective Well-being Are Associated With Chronic Nondisabling and Disabling Knee Pain
Bibliographic record
Abstract
BACKGROUND/OBJECTIVE: Chronic knee pain (CKP) is a common pain complaint in older adults that is often associated with disability. This study investigated the relationship between 2 components of subjective well-being (depressive symptoms and life satisfaction) and CKP phenotypes based on the presence of knee disability. METHODS: A cross-sectional study was performed at baseline of ELSA-Brasil Musculoskeletal cohort (2012-2014). Chronic knee pain phenotypes were identified according to the presence of CKP that was accompanied or not by disability, which was assessed by a question on pain-related limitations to perform everyday activities (overall), Western Ontario and McMaster Universities Osteoarthritis Index's physical function subscale (daily tasks) and 5-times sit-to-stand test (objective). Depressive symptoms were assessed by the Clinical Interview Schedule-Revised and life satisfaction by the Satisfaction With Life Scale. Multinomial logistic regressions used CKP phenotypes as response variables (no CKP as reference). RESULTS: The sample comprised 2898 participants (mean age, 55.9 ± 8.9 years; 52.9% were female). After adjustments for sociodemographic and clinical factors, depressive symptoms were associated with daily tasks disabling CKP (odds ratio [OR], 2.30; 95% confidence interval [CI], 1.45-3.66) and objective disabling CKP (OR, 1.95; 95% CI, 1.29-2.93) and with nondisabling CKP for the overall disability measure (OR, 1.54; 95% CI, 1.17-2.04). Life satisfaction was inversely associated with all phenotypes in fully adjusted models, with strongest magnitude of associations observed for disabling CKP. CONCLUSIONS: The association of depressive symptoms and life satisfaction with CKP phenotypes suggest the need to address both negative and positive components of subjective well-being in the assessment of individuals with knee complaints.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".