Relationships Between Cervical Range of Motion, Self-Rated Disability and Fear of Movement Beliefs in Chronic Neck Pain Patients
Bibliographic record
Abstract
ObjectivesTo investigate the relationship between impairment [cervical ranges of motion [CROMs]], self-reported disability, and fear of movement beliefs in chronic neck pain patients.MethodsData was obtained from a convenience sample of chronic neck pain patients in private clinics. CROMs were obtained using a CROM device, self-rated disability was measured using the neck disability index [NDI], and fear of movement beliefs was measured using the Tampa Scale for Kinesiophobia [TSK]. Age, gender, and duration of neck pain were also obtained. Bivariate and multivariate statistics were employed.ResultsThirty-five participants with a mean age of 42.3 years and neck pain duration of 4.75 [4.61] years completed the study. The average scores for the outcome measures were: NDI = 26 percent, TSK = 51 percent, and total CROM = 288 degrees. The NDI correlated with the TSK at 0.50 [P = 0.006]. The correlation between the NDI and total ROM was −0.58 [P = 0.0003] while the correlation between total ROM and the TSK just failed to reach significance [−0.32; P = 0.06]. In the multivariate analysis, only the NDI loaded significantly onto the total ROM and explained 29 percent of the variance of ROM on its own.ConclusionIn this study, self-rated disability in chronic neck pain patients was found to correlate with fear-avoidance beliefs and with a measure of impairment – ranges of motion in the cervical spine. When evaluating reductions in ranges of cervical motion in chronic neck pain patients, the effect of their self-ratings of disability should be considered.
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 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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".