Self-education Program for Osteoarthritis Reduces Sodium Intake, Knee Joint pain, and Serum Interleukin-17A level in Osteoarthritis Patients
Bibliographic record
Abstract
Objectives: As it has been known that sodium may aggravate joint inflammation throuh IL-17A pathway and it can cause joint pain, the purpose of this study was to determine the effect of the Self Education Programs for Osteoarthritis (SEPO) intervention on sodium intake, knee join pain and IL-17A level in patients with knee osteoarthritis. Methods: This multicenter study was conducted in orthopedic and internal medicine outpatient wards in three hospitals. This research has received ethical approval. Patients were recruited based on accidental sampling, who met the inclusion criteria. SEPO intervention was carried out for 30 days, followed by provision of leaflets, posters, and handbook about osteoarthritis, daily WhatsApp education chat and/or video. Patients’ demographic, knee joint pain, and sodium intake data was collected during interview, using the Semi Quantitative Food Frequency Questionnaire (SQ_FFQ), and WOMAC (Western Ontario McMaster Osteoarthritis Index) whereas serum IL-17A was determined by using ELISA. The effect of SEPO was analyzed statistically using Mann Whitney tests (p< 0.05). Results: Total subjects recruited were 80, namely 30 patients in control group and 50 patients in treatment group. Majority of patients were female (74, 92.5%), age 56-65 yo (32, 40%), obese (54, 67.5%) and senior high school (23, 46%). Statistical results showed that following SEPO intervention daily sodium intake was lower (1289.45±457.98 mg) compared to the control group (2143.94±744.75 mg), p= 0.04. WOMAC score of control group (28±12.41) higher than treatment group (23.88±13.61), p=0.02. Serum IL-17A levels were also lower in the treatment group (3.974±1.06 pg/mL) than the control group (5.542±1.99 pg/ml), p=0.01. Discussion: Education as a non-pharmacological therapy is needed to reduce disease progression. Education is provided according to the patient's needs. Educational models can be offline (face to face) or online (digital). SEPO intervention in patients with knee osteoarthritis can reduce sodium intake, knee joint pain, and may impact on reduction of serum IL-17A.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.003 | 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".