Effect of supplementation with type 1 and type 3 collagen peptide and type 2 hydrolyzed collagen on osteoarthritis-related pain, quality of life, and physical function: A double-blind, randomized, placebo-controlled study
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to assess the effect of Naturagen® 4 Joint product, containing type 1, 2, and 3 collagen, on pain associated with osteoarthritis (OA) and to evaluate its effects on quality of life and physical functioning. PATIENTS AND METHODS: This double-blind, randomized, placebo-controlled clinical study included a total of 31 patients (8 males, 23 females; mean age: 53.5±9.1 years; range, 35 to 65 years) with Grade 2-3 OA according to the Kellgren-Lawrence (KL) classification system between June 2023 and November 2023. The patients were divided into two groups: a collagen group (n=16) and a placebo group (n=15). The Visual Analog Scale (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Knee Injury and Osteoarthritis Outcome Score (KOOS-PS), Oxford Knee Score (OKS), Tampa Scale for Kinesiophobia (TSK), Short Form Health Survey (SF-12), Foot Function Index (FFI), Timed Up and Go (TUG), 6-Min Walking Test (6MWT), Five Repetition Sit to Stand Test (5STS), Stair Climbing Test (SCT), and Berg Balance Scale (BBS) were used. All tests were performed before and after eight weeks of collagen supplementation. RESULTS: Eight weeks of collagen supplementation yielded notable enhancements across all osteoarthritis-related pain and quality of life scales evaluated, including VAS, WOMAC, KOOS-PS, OKS, TSK, SF-12, and FFI scores (p<0.05). In functional evaluations, there were significant positive effects of collagen use in BBS and 6MWT results (p<0.05). In TUG, 5STS, and SCT tests, no significant difference was found between the groups (p>0.05). CONCLUSION: Our study results suggest that the eight-week collagen-based supplement exerts a favorable effect on pain and quality of life levels, as well as some functional test results.
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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) | 0.002 | 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".