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Record W2035386363 · doi:10.1097/brs.0b013e3181c6ea1b

Translation and Validation Study of Chinese Versions of the Neck Disability Index and the Neck Pain and Disability Scale

2010· article· en· W2035386363 on OpenAlexaff
Shaoling Wu, Chao Ma, Mingquan Mai, Guoqi Li

Bibliographic record

VenueSpine · 2010
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineIntraclass correlationCronbach's alphaVisual analogue scaleNeck painPhysical therapyConvergent validityReliability (semiconductor)CorrelationPsychometricsPhysical medicine and rehabilitationClinical psychologyInternal consistencyPathology

Abstract

fetched live from OpenAlex

In Brief Study Design. This study's design was a cross-cultural validation of the Neck Disability Index (NDI) and Neck Pain and Disability Scale (NPDS). Objective. To translate and validate Chinese versions of the NDI and the NPDS. Summary of Background Data. The widely used NDI and NPDS scales have not been translated and validated for Chinese-speaking patients with neck pain. Methods. The translation and cultural adaptation of the original questionnaires were carried out in accordance with the published guidelines. A total of 125 patients with neck pain participated in the study. Patients were asked to complete a questionnaire booklet including the NDI, the NPDS, the SF-36, and a visual analog scale (VAS) of pain. To determine the test-retest reliability, 45 patients were asked to complete the questionnaire booklet a second time within 48 hours of the first completion. Results. The Cronbach α coefficient for the NDI was 0.89, and those for the 3 subscales of the NPDS were found to be satisfactory (0.91, 0.88, and 0.82, respectively). The NDI and the NPDS subscales showed excellent test-retest reliability (the intraclass correlation coefficient ranged from 0.86 to 0.95; P < 0.01). The correlation between the NDI and the NPDS subscales and functional scales of the SF-36 showed desirable results, indicating a good convergent validity (Pearson correlation coefficients ranged from −0.19 to −0.76). The correlation between the NDI and the VAS was 0.75, and that between the NPDS subscales and the VAS ranged from 0.62 to 0.76 (P < 0.01). Conclusion. The Chinese versions of the NDI and the NPDS are reliable and valid instruments to measure functional status in Chinese-speaking patients with neck pain in China. They are simple and easy to use, and can now be applied in clinical settings and future outcome studies in China and other Chinese-speaking communities. This study demonstrated adequate translation, cultural adaptation, and validity of Chinese versions of the Neck Disability Index and the Neck Pain and Disability Scale. Chinese versions of the questionnaires showed acceptable test-retest reliability, internal consistency, and good convergent validity. The results of the study suggest that the 2 scales are suitable for use in clinical and research applications.

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 imitation

Not 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.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.008
GPT teacher head0.278
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations95
Published2010
Admission routes1
Has abstractyes

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