THE CORRELATION BETWEEN SMOKING BEHAVIOUR AND THE BODY MASS INDEX IN RELATION TO THE INCIDENCE OF KNEE OSTEOARTHRITIS IN THE ELDERLY, UTILIZING THE WESTERN ONTARIO AND MASTER INDEX
Bibliographic record
Abstract
Osteoarthritis is a progressive condition affecting the joints, where there is an accumulation of cellular stress, breakdown of the extracellular matrix, and gradual deterioration of the articular cartilage. This leads to the bones rubbing against each other, causing pain, stiffness, and impaired mobility. The Kwanyar Community Health Center documented a total of 194 instances of knee osteoarthritis between July and September 2022. The objective of this research is to examine the correlation between body mass index and smoking habits, as well as the occurrence of knee osteoarthritis in older individuals, using the Western Ontario and McMaster index. The study design employs analytics using a cross-sectional methodology. The survey had a total of 86 participants. There were 54 responders from whom samples were obtained. The sample approach employs probability sampling with the Simple Random sample technique. The data collecting method employs a questionnaire form. The statistical analysis employs the Spearman Rank test with a significance level of 0.05. The ethical testing of this study has been conducted by the KEPK STIKes Ngudia Husada Madura team. The study findings indicate that the analysis is conducted using the Spearman Rank statistical test, yielding a significant result (p=0.000) which is lower than the significance level (a=0.05). It may be inferred that there is a correlation between body mass index and smoking habits in connection to the occurrence of knee osteoarthritis in older individuals, as measured by the Western Ontario and McMaster index. For the aged, it is advisable to enhance their body mass index and modify their smoking habit as a preventive measure against knee osteoarthritis. The study aims to investigate the correlation between the respondents' understanding of body mass index and smoking habits, and the occurrence of knee osteoarthritis in older individuals.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".