Revisiting the psychometric properties of the Scoliosis Research Society-22 (SRS-22) French version
Bibliographic record
Abstract
BACKGROUND: Adolescent idiopathic scoliosis (AIS) is among the most common spinal deformities affecting adolescents. The Scoliosis Research Society-22 questionnaire is commonly used to assess health-related quality of life in AIS patients, including pain. The objective of this study is to verify the psychometric properties of the Scoliosis Research Society-22 French version (SRS-22fv) questionnaire. METHODS: A prospective methodological design was used to verify the psychometric properties of the French version of the SRS-22fv. Participants were initially recruited from the orthopaedic scoliosis department at Sainte-Justine Hospital (Montreal, Canada) and completed the SRS-22fv and the SF-12 questionnaire. The SRS-22fv's structure was evaluated through principal component analysis (PCA). Linear regression was used to assess convergent validity between the SRS-22fv and the SF-12. RESULTS: = 252) of the participants presented with spinal pain. About one-third (29%) reported thoracic pain, and almost half (44%) experienced lumbar pain. The PCA identified four redundant items, which resulted in a modified 18-item questionnaire. In comparison to the original questionnaire, the modified version showed higher levels of internal consistency for four of the five factors, explained a greater proportion of the total variance (63.3%), and generated higher inter-item total correlations. CONCLUSION: We propose a shorter version of the SRS-22fv, thus the Canadian SRS-18fv, which showed an improved internal consistency and scale structure compared to the original SRS-22fv. We believe that this modified version would be better suited to assess the quality of life of adolescents with idiopathic scoliosis.
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 | 0.020 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".