Prevalence of musculoskeletal activity limitation and associated factors among adults in the general population in the 1998 Quebec Health Survey.
Bibliographic record
Abstract
OBJECTIVE: To estimate the prevalence of short term and longterm musculoskeletal activity limitation among the general adult population of the province of Quebec, and to identify which factors are associated with these limitations. METHODS: We analyzed cross-sectional data from the 1998 Quebec Health Survey. Logarithmic binomial regression models were used to estimate prevalence ratios of (1) short term activity limitation related to musculoskeletal disorders (MSD); and (2) longterm activity limitation related to MSD in relation to demographic and behavioral variables and comorbidity factors. RESULTS: About one-fifth of participants reporting short term activity limitation and one-third of participants reporting longterm activity limitation mentioned MSD as a cause. Multivariate analyses showed that higher age, lower income, being overweight, ill defined nervousness, and the number of traumatic events that occurred before age 18 years were significantly associated with short term and longterm activity limitation related to MSD, whereas being in the minority ethnic group was protective for both outcomes. Female sex, physical inactivity, being a former alcohol drinker, and mental disorders were also associated with longterm activity limitation. CONCLUSION: MSD are a major cause of activity limitation among adults from Quebec. With the aging population and the increasing prevalence of obesity, increasing prevalence of activity limitation related to MSD is to be expected.
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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 | 0.000 | 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) | 0.002 | 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".