Pain characteristics, activity limitation and their influence on health-seeking behaviours of community-dwelling older adults with osteoarthritis in Nigeria
Bibliographic record
Abstract
Background: It is postulated that osteoarthritis (OA) patients' health-seeking behavior depends largely on the disease severity and loss of function. Objective: This study aimed to assess the pain characteristics, activity limitations, and health-seeking behaviors of older adults with OA in Nigeria. Methods: A cross-sectional survey was conducted among 230 purposively selected community-dwelling older adults in a semi-urban setting in Nigeria. Pain characteristics, activity limitations, and health-seeking behavior were assessed by an interviewer using the Chronic Pain Grade Scale, Western Ontario and McMaster Universities Arthritis Index, and Health-Care Seeking Behaviour Questionnaire, respectively. Data were analyzed using descriptive statistics and inferential statistics (chi-square and multiple regression) to predict factors influencing health-seeking behavior, and we set the alpha level at p<0.05. Results: Pain at the knee (73.0%) was the most defining feature of OA, and it was typically severe (59.1%), frequent (51.3%), felt deep in the bone (47.0%), and associated with morning stiffness (27.4%). OA led to severe activity limitation (54.3%), and 51.7% of the respondents had an overall negative health-seeking behavior. Furthermore, activity limitation was significantly associated with religion (p=0.008) and pain severity (p=0.001). Similarly, the age (p=022), sex (p=0.006), marital status (p=0.005), and ethnicity (p=0.018) were significantly associated with health-seeking behavior. In addition, health-seeking behavior was predicted by cost, preference, ethnicity, employment, marital status, and limitation inactivity. Conclusion: OA pain is prevalent among community-dwelling older adults, it imposes a severe limitation on activities of daily living, and sociodemographic factors influenced the health-seeking behaviors of patients with OA.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".