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Record W2799748047 · doi:10.1097/jom.0000000000001309

Cardiovascular Disease Risk Factors in Québec Male Firefighters

2018· article· en· W2799748047 on OpenAlex
Philippe Gendron, Claude Lajoie, Louis Laurencelle, François Trudeau

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2018
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsUniversité du Québec à Trois-RivièresFonds de Recherche du Québec - Santé
Fundersnot available
KeywordsMedicineDyslipidemiaObesityBody mass indexDiseaseDiabetes mellitusGerontologyInternal medicinePhysical therapyDemographyFamily medicineEndocrinology

Abstract

fetched live from OpenAlex

OBJECTIVE: We aimed to document the prevalence of cardiovascular disease (CVD) risk factors and symptoms in Québec firefighters. METHODS: Seven hundred and seventy-nine (779) male firefighters (age: 41.6 ± 10.4 years; body mass index [BMI]: 28.0 ± 3.6 kg/m) answered an online questionnaire evaluating lifestyle and the presence of CVD risk factors and symptoms. RESULTS: The prevalence of obesity (BMI is more than or equal to 30 kg/m), diagnosed hypertension, diagnosed dyslipidemia, and diagnosed type 2 diabetes mellitus was respectively 23.6%, 12.2%, 17.4%, and 1.7%. Among survey participants, 34.5% were categorized as moderate and 43.6% as high CVD risk, according to American College of Sports Medicine guidelines. CONCLUSIONS: A high proportion of Québec firefighters are at moderate to high risk of CVD. These findings suggest that Québec fire departments should help all firefighters to adopt and maintain a healthy lifestyle.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.047
GPT teacher head0.361
Teacher spread0.315 · 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