Association Between Knee Pain, Impaired Function, and Development of Depressive Symptoms
Bibliographic record
Abstract
OBJECTIVES: To examine the association between knee pain and function and depressive symptoms in older Japanese adults. DESIGN: Community-based prospective cohort study. SETTING: Kurabuchi Town, Gumma Prefecture, Japan. PARTICIPANTS: Individuals aged 65 and older (N = 573; n = 260 men, n = 313 women) without depressive symptoms participated in baseline examinations in 2005 and 2006; 95.6% participated in follow-up interviews (2007-08). MEASUREMENTS: Degree of knee pain and functional impairment was assessed at baseline using a self-administered questionnaire in Japanese based on an English version of the Western Ontario and McMaster Universities Osteoarthritis Index. The Geriatric Depression Scale was used to identify depressive symptoms in face-to-face home-visit interviews conducted 2 years later, and the association between knee pain and functional impairment and depressive symptoms was assessed using logistic regression. RESULTS: During the 2-year follow-up, 11.9% of participants developed depressive symptoms, and pain and functional impairment were found to be associated with development of these symptoms. Pain at night while in bed (adjusted odds ratio (aOR) = 2.6, 95% confidence interval (CI) = 1.4-4.9) and difficulty putting on socks (aOR = 3.7, 95% CI: 1.8-7.5), getting into and out of a car (aOR = 3.4, 95% CI = 1.8-6.5), and taking off socks (aOR = 3.1, 95% CI = 1.5-6.5) were found to be most strongly associated with development of depressive symptoms. CONCLUSION: Examining elderly people's responses to questions about pain at night and difficulties performing daily activities may be an efficient way of identifying those at high risk of developing depressive symptoms.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".