Development of the Italian Version of the Neck Disability Index
Bibliographic record
Abstract
STUDY DESIGN: Evaluation of the psychometric properties of a translated and culturally adapted questionnaire. OBJECTIVE: Translating, culturally adapting, and validating the Italian version of the Neck Disability Index (NDI-I) to allow its use with Italian-speaking patients with neck pain (NP). SUMMARY OF BACKGROUND DATA: More attention is being given to standardized outcome measures to improve interventions for NP. A translated form of the NDI has never been validated in Italian patients with NP. METHODS: The NDI-I was developed by forward-backward translation, a final review by an expert committee, and a test of the prefinal version to establish its correspondence with the original English version. The psychometric testing included factor analysis, reliability by internal consistency (Cronbach α) and test-retest reliability (intraclass coefficient correlation), construct validity by comparing NDI-I with the Neck Pain and Disability Scale, a numerical rating scale, the Hospital Anxiety and Depression Scale, and the 36-Item Short Form Health Survey (Spearman correlation), and sensitivity to change by calculating the smallest detectable change. RESULTS: The questionnaire was administered to 101 subjects with chronic NP and proved to be acceptable. Factor analysis revealed a 2-factor 10-item solution (explained variance: 56%). The questionnaire showed good internal consistency (α = 0.842) and test-retest reliability (intraclass coefficient correlation = 0.846). Construct validity showed a good correlation with Neck Pain and Disability Scale (ρ = 0.687), moderate correlations with the numerical rating scale (ρ = 0.545), and Hospital Anxiety and Depression Scale (ρ = 0.422 for the Anxiety score and ρ = 0.546 for the Depression score), and poor correlations with the 36-Item Short Form Health Survey subscales (ρ = 0.066 to -0.286). The psychometric analyses of the subscales and total scale were similar. The smallest detectable change of the NDI-I was 3. CONCLUSION: The NDI was successfully translated into Italian and proved to have a good factorial structure and psychometric properties that replicated the results of other versions. Its use is recommended for research purposes.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".