Risk Assessment of Osteoarthritis Among Geriatric Population in Perambalur District Using the Western Ontario and McMaster Universities Arthritis Index and Katz Index of Independence in Activities of Daily Living: A Cross-Sectional Study
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease that occurs resulting from tear and progressive loss of articular cartilage. It is one of the leading causes of disability in elderly people. This study aims to assess the risk of OA and the ability to perform activities of daily living (ADL) independently among the geriatric population using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) scale and Katz Index of Independence in Activities of Daily Living (Katz ADL) scale, respectively. METHODS: This cross-sectional study was conducted among the geriatric population in Perambalur district, Tamil Nadu from November 2022 to January 2023. Around 415 geriatric populations above 60 years of age were included by using a simple random sampling method. A semi-structured questionnaire was used to collect sociodemographic profiles, personal and medical details, OA risk (WOMAC), and ADL (Katz ADL scale). Descriptive statistics and the chi-square test were used to investigate the relationship between sociodemographic characteristics and the Katz ADL scale and the WOMAC index score for assessing OA risk. RESULTS: The mean age of participants was 69.62 ± 6.86 years. The mean ± SD score for the WOMAC scale and the Katz ADL scale among the geriatric population was 20.997 ± 14.69 and 4.821 ± 2.37, respectively. The OA risk among the geriatric population using the WOMAC scale was low in 98 (23.6%), moderate in 216 (52%), and high risk in 101 (24.3%) participants. Using the Katz ADL scale, 332 (80%) participants were found to be independent and 83 (20%) were dependent. The high-risk factors for developing OA were age ≥ 70 years, female sex, living in a rural area, employment status, Muslim religion, the habit of betel nut chewing, diabetes mellitus, hypertension, thyroid diseases, family history of knee OA, history of previous surgery, and ADL, significantly associated with WOMAC (p < 0.05). CONCLUSION: As per the WOMAC scale, approximately 24.3% of the geriatric population is at high risk of developing OA and 20% of them are dependent on performing ADL as assessed using the Katz ADL scale. The WOMAC and Katz ADL scales are simple questionnaire-based screening tools used to detect high-risk individuals for OA at an early stage in the geriatric population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".