POS0378 ASSOCIATION BETWEEN METABOLIC SYNDROME AND KNEE PAIN IN MIDDLE-AGED ADULTS OVER 10-13 YEARS
Bibliographic record
Abstract
Background Metabolic syndrome (MetS) is characterized by an increased waist circumference, dyslipidaemia (elevated triglycerides and reduced high-density lipoprotein (HDL)), hypertension and hyperglycaemia. MetS has been suggested as having a role in osteoarthritis (OA) pathogenesis. Few studies have described the association of MetS with joint pain in older adults with OA; however, none has described the association between MetS and knee pain in a middle-aged adult population. Objectives We aimed to describe the association of MetS and trajectories of MetS over 10-13 years with knee symptoms in general population-based middle-aged adults. Methods Fasting blood biochemistry, waist circumference and blood pressure measures collected during the Childhood Determinants of Adult Health (CDAH)-1 study (year:2004-6; n = 2447) and at 10-13 year follow-up at CDAH-3 (n = 1549) were used to define MetS using the International Diabetes Federation (IDF) definition. Knee symptoms were assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scale at the CDAH-3 follow-up (mid-adulthood). Univariable and multivariable (adjusted for age, sex, and body mass index (BMI)) zero-inflated Poisson (ZIP) regression models were used for analysis. Results Overall, the prevalence of MetS increased from 8% (mean age:31.48±2.60; female:52.06%) to 13% (mean age: 44±2.90; female: 53.78%) over 10-13 years. Four MetS trajectories were identified—‘No MetS’ (85.01%); ‘Improved MetS’ (2.14%), ‘Incident MetS’ (8.81%), and ‘Persistent MetS, (4.04%). The presence of MetS at any point, compared to no MetS, was significantly associated with worse knee symptoms at follow-up. Notably, ‘Incident MetS’ was most strongly associated with knee symptoms [RoM: 1.56;95%CI: 1.48,1.65] and pain [RoM:1.52;95%CI:1.37,1.70] at follow-up (Table 1). Conclusion In a middle-aged population-based sample, there was an independent positive association between MetS and knee symptoms. The MetS developed in mid-adulthood was most strongly associated with knee symptoms compared to those who had MetS in young adulthood or at both time points. Acknowledgements AS is supported by the International Graduate Research Scholarship, University of Tasmania. Disclosure of Interests None Declared.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".