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Record W2092690989 · doi:10.1136/oem.2003.010389

Primary osteoarthritis and occupation in the Quebec national health and social survey

2004· article· en· W2092690989 on OpenAlexaffabout
Michel Rossignol

Bibliographic record

VenueOccupational and Environmental Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsMontreal Police ServiceEspace pour la vie
Fundersnot available
KeywordsWorkforceMedicineDemographyHousekeepingBody mass indexPopulationGerontologyAffect (linguistics)Environmental healthPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: The scientific evidence available is consistent in linking osteoarthritis (OA) and occupation but is lacking information regarding preventable risks in the workplace. AIMS: To explore the effect of different dimensions of physical demand in the relation between self reported OA and occupation. METHODS: Nationwide population survey of employed and self employed adults aged 25-64. RESULTS: Of the 11,44 workers surveyed, 3.1% (two females for one male) reported a problem with OA (any site). They reported some degree of limitations in their daily activities in a proportion that was six times higher (26.8%) than the rest of the population of the same age without OA and twice as high for absence from work in the previous year (23.8%). Of the different dimensions of risks used in the survey and controlling for age, body mass index, and smoking, "use of force with tools or machines" showed a statistically significant association with OA in males and females. In occupations significant risks of OA were identified in male unskilled labourers and skilled labourers, and in female technicians, and workers in the services sector. CONCLUSIONS: Results of the present survey indicated that occupational stresses associated with OA may differ substantially between male and female workers and that specific risks may affect the younger workforce (25-44 years old) in some occupations, including housekeeping and other ill defined skilled and unskilled labour.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.269
Teacher spread0.247 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations31
Published2004
Admission routes2
Has abstractyes

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