The Factors Associated With Neck Pain and Its Related Disability in the Saskatchewan Population
Bibliographic record
Abstract
STUDY DESIGN: Population-based, cross-sectional mailed survey. OBJECTIVE: To identify factors associated with neck pain and its related disability in Saskatchewan adults. SUMMARY OF BACKGROUND INFORMATION: Little is known about the etiology of neck pain and its related disability. Previous cross-sectional population-based studies have suggested that neck pain may be associated with age, female gender, lower socioeconomic status, physically demanding work, and other comorbidities. METHODS: The Saskatchewan Health and Back Pain Survey was mailed to 2184 randomly selected Saskatchewan adults 20 to 69 years of age. Fifty-five percent of the study population participated. The survey collected demographic, socioeconomic, and health-related information. Neck pain and its related disability was classified into four categories using the Chronic Pain Questionnaire: no neck pain (Grade 0), low intensity/low disability neck pain (Grade I), high intensity/low disability neck pain (Grade II), and high disability neck pain (Grades III-IV). Polytomous logistic regression was used to identify associations between demographic, socioeconomic, and health-related variables and various grades of neck pain severity. RESULTS: Of the 1131 respondents, 54% had experienced neck pain at some point in the 6 months before the survey, and almost 5% were highly disabled by neck pain. The prevalence of Grade I neck pain was lower in individuals with low education attainment, but higher for those reporting headaches, low back pain, better general health, and a history of neck injury resulting from a motor vehicle collision, some of whom may have received compensation for their injury. Grade II neck pain was strongly associated with headache, low back pain, and a history of neck injury during a motor vehicle collision and weakly associated with digestive disorders and current cigarette smoking. Grades III-IV neck pain was strongly associated with low back pain, headaches, cardiovascular disorders, digestive disorders, and a history of neck injury during a motor vehicle collision. CONCLUSION: This study suggests that important associations exist between comorbidities, a past history of neck injury resulting from a motor vehicle collision, and graded neck pain. Importantly, individuals who are significantly disabled by neck pain also have comorbidities that have a moderate or severe impact on their health, suggesting that chronic disorders tend to cluster in some individuals.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".