Ryann E Yeo, Fanni R Eros, Paul A Demers, Jeavana Sritharan
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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.</p><p><strong>Results: </strong>A 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).</p><p><strong>Conclusion: </strong>Study 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.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk of Raynaud's Phenomenon Among Workers in the Occupational Disease Surveillance System.\",\"authors\":\"Ryann E Yeo, Fanni R Eros, Paul A Demers, Jeavana Sritharan\",\"doi\":\"10.1002/ajim.23700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Raynaud'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.</p><p><strong>Methods: </strong>Workers 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.</p><p><strong>Results: </strong>A 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).</p><p><strong>Conclusion: </strong>Study 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.</p>\",\"PeriodicalId\":7873,\"journal\":{\"name\":\"American journal of industrial medicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of industrial medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/ajim.23700\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of industrial medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ajim.23700","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
简介:雷诺现象(RP)与职业暴露有关,如振动、低温和化学物质。然而,通过职业和性别来检查RP的大型队列研究很少。为了解决这一差距,本研究旨在评估加拿大安大略省大量工人中职业和性别的RP风险。方法:2002年至2020年间,接受损失时间赔偿索赔的工人与医生账单记录相关联,以确定RP的诊断。采用3年的洗脱期(无病),随访时间限制为5年。使用Cox比例风险模型来估计RP诊断的风险比(HR)和95%置信区间(CI),并根据随访开始时的年龄、出生年份和性别分层进行调整。结果:在810,739名工人中共发现7,131例RP病例。在男性中,卡车司机(HR = 1.23, 95% CI = 1.08-1.41)、司机-推销员(HR = 2.54, 95% CI = 1.21-5.34)、采矿和采石相关的切割、处理和装载(HR = 2.57, 95% CI = 1.29-5.15)、建筑行业劳动和基本工作(HR = 1.70, 95% CI = 1.24-2.34)的风险较高。在女性中,从事服务员及相关工作(HR = 1.70, 95% CI = 1.22-2.38)、食品和饮料制备(HR = 1.34, 95% CI = 1.02-1.76)和电气设备制造和组装(HR 1.96, 95% CI = 1.08-3.55)的女性风险较高。结论:研究结果表明,不同职业的RP风险升高,且男性和女性之间存在显著差异。这些差异可能归因于潜在暴露和RP易感性的差异。研究结果强调需要进行大型队列研究,以检查不同职业群体和两性的RP。
Risk of Raynaud's Phenomenon Among Workers in the Occupational Disease Surveillance System.
Introduction: Raynaud'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.
Methods: Workers 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.
Results: A 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).
Conclusion: Study 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.
期刊介绍:
American Journal of Industrial Medicine considers for publication reports of original research, review articles, instructive case reports, and analyses of policy in the fields of occupational and environmental health and safety. The Journal also accepts commentaries, book reviews and letters of comment and criticism. The goals of the journal are to advance and disseminate knowledge, promote research and foster the prevention of disease and injury. Specific topics of interest include: occupational disease; environmental disease; pesticides; cancer; occupational epidemiology; environmental epidemiology; disease surveillance systems; ergonomics; dust diseases; lead poisoning; neurotoxicology; endocrine disruptors.