Evidence map›Paper›PMID 39783848›Full record

ArticleAmerican journal of industrial medicine2025

Risk of Raynaud's Phenomenon Among Workers in the Occupational Disease Surveillance System.

Ryann E Yeo, Fanni R Eros, Paul A Demers, Jeavana Sritharan

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ryann E YeoOccupational Cancer Research Centre, Ontario Health, Toronto, Ontario, Canada.ORCID 0009-0005-4280-9881
Fanni R ErosOccupational Cancer Research Centre, Ontario Health, Toronto, Ontario, Canada.
Paul A DemersOccupational Cancer Research Centre, Ontario Health, Toronto, Ontario, Canada.
Jeavana SritharanOccupational Cancer Research Centre, Ontario Health, Toronto, Ontario, Canada.

Funding

This work was supported by the Ontario Ministry of Labour, Immigration, Training and Skills Development (14-R-029). The Occupational Cancer Research Centre is supported by the Ontario Ministry of Labour, Immigration, Training and Skills Development and the Ontario Health agency.
6 · The paper itself

Abstract

introductionRaynaud's phenomenon (RP) is linked to occupational exposures such as vibration, cold temperature, and chemicals. However, large cohort studies examining RP by occupation and sex are scarce. To address this gap, this study aimed to assess risk of RP by both occupation and sex in a large cohort of workers in Ontario, Canada.

methodsWorkers with accepted lost-time compensation claims were linked to physician billing records to identify diagnoses of RP between 2002 and 2020. A 3-year washout (disease-free) period was applied, and follow-up was limited to 5 years. Cox proportional hazard models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for diagnoses of RP, adjusted for age at start of follow-up, birth year, and stratified by sex.

resultsA total of 7,131 RP cases were identified among 810,739 workers. Among men, higher risks were observed for truck drivers (HR = 1.23, 95% CI = 1.08-1.41), driver-salesmen (HR = 2.54, 95% CI = 1.21-5.34), those in mining and quarrying-related cutting, handling, and loading (HR = 2.57, 95% CI = 1.29-5.15), and construction trades laboring and elemental work (HR = 1.70, 95% CI = 1.24-2.34). Among women, higher risks were observed for those working in waitressing and related (HR = 1.70, 95% CI = 1.22-2.38), food and beverage preparation (HR = 1.34, 95% CI = 1.02-1.76), and electrical equipment fabricating and assembling (HR 1.96, 95% CI = 1.08-3.55).

conclusionStudy findings show elevated risks of RP among various occupations, with notable differences between men and women. These differences may be attributable to variations in potential exposures and susceptibility to RP. Findings underscore the need for large cohort studies to examine RP across various occupational groups and both sexes.

Indexed as

Occupational DiseasesOccupational ExposureOccupationsRaynaud DiseaseAdultCohort StudiesFemaleHumansMaleMiddle AgedOntarioProportional Hazards ModelsRisk FactorsSex FactorsWorkers' CompensationoccupationRaynaud's phenomenonsex differencessurveillancevibration white finger

Identifiers

PMID39783848
PMCPMC11898170

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.