American journal of industrial medicine最新文献

{"title":"Identification of Barriers to Access Health Care Among Hispanic Immigrant Workers in New York City","authors":"Laura Sirbu,&nbsp;Sofia Curdumi Pendley,&nbsp;Ana Gonzalez,&nbsp;Adina Valceanu,&nbsp;Homero Harari","doi":"10.1002/ajim.70125","DOIUrl":"10.1002/ajim.70125","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>In New York City, many Hispanic immigrants work in occupations that are not only higher risk for occupational injury but that also fail to provide health insurance or paid sick leave. This study aimed to identify barriers to accessing both primary care and occupational health care for Hispanic immigrant workers, specifically those in informal job arrangements.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a qualitative study that included: (1) focus groups with Hispanic house cleaners, and (2) semi-structured interviews with service providers (clinicians, social workers, and patient coordinators) of two hospital systems and key stakeholders in a community-based organization.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Sixteen housecleaners and 11 service providers participated. Identified barriers to primary care included cost of care, no time off from work, difficulties navigating healthcare systems or lack of knowledge regarding the healthcare system, language discordance, and fear related to immigration status. Barriers to occupational healthcare access (including workers’ compensation [WC]) were related to the complexity of the WC system, fear of retaliation (including being fired from work), language discordance, and fear related to immigration status.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Hispanic immigrant workers face many challenges to address their healthcare needs and identified barriers that were not brought up by service providers. Future efforts need to focus on bridging existing primary care and occupational health services to reduce the challenges Hispanic immigrant workers face, and disseminating information on available health resources.</p>\u0000 </section>\u0000 </div>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":"69 11","pages":"948-959"},"PeriodicalIF":2.4,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148787245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cancer Incidence Among Swedish Seafarers Between 1985 and 2020","authors":"Maria Wallin,&nbsp;Helena P. Eriksson,&nbsp;Karl Forsell,&nbsp;Eva Andersson","doi":"10.1002/ajim.70126","DOIUrl":"10.1002/ajim.70126","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Several studies from different countries have shown that merchant seafarers have an increased cancer risk compared to the general population. The aim of this study was to provide updated information on cancer incidence in a cohort of Swedish seafarers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cohort consisting of all Swedish seafarers from the Swedish Seafarers' Register 1985–2013 was linked to the Swedish Cancer Register 1985–2020. Seafarers with at least 5 years of sea service (<i>N</i> = 38,030; 76% men and 24% women) were included in the analyses. Standardized incidence ratios (SIR) were calculated for cancer by specific site, period of first signing, job category, type of vessel, and gender, using cancer incidence in the general population as reference.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In seafarers who had worked on different types of vessels (not solely passenger ferries), there were 5076 cases of cancer during the follow-up period, and total cancer risk was increased (SIR 1.14; 95% confidence interval [CI] 1.11–1.17). Most cases occurred in seafarers who had their first signing before 1985. The risk of lung cancer was increased in all job categories, especially in engine room crew members (SIR 1.98; 95% CI 1.53–2.57). There were 16 mesothelioma cases in engine officers (SIR 3.75; 95% CI 2.30–6.12).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This cohort study of seafarers in Sweden confirms that Swedish seafarers had an increased overall cancer risk compared with the general population, particularly those signing before 1985 and working on different types of vessels.</p>\u0000 </section>\u0000 </div>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":"69 11","pages":"960-971"},"PeriodicalIF":2.4,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ajim.70126","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148757854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"It's a Match, Isn't It? Developing a Checklist on Matching Secondary Data at the Example of Job Control.","authors":"Franziska J Kößler, Candice Y Johnson, Amel Omari, Kaori Fujishiro","doi":"10.1002/ajim.70135","DOIUrl":"https://doi.org/10.1002/ajim.70135","url":null,"abstract":"<p><p>Few datasets simultaneously capture occupational exposures and health outcomes in a general working population. To understand associations between occupational exposures and health, researchers often combine existing datasets. As occupation codes are available in many datasets, combining these datasets seems a straight-forward option. However, the different purposes of these datasets and correspondingly their coding systems may complicate and bias matching procedures by dropping occupations, squeezing multiple occupations into one category, and linking them incorrectly. To develop a checklist that supports an entire research and writing process based on matching datasets, we demonstrate problems that may occur when matching three datasets based on existing crosswalks. Two of these datasets provide unique occupational information: occupational exposure (specifically, job control) from the Occupational Information Network (O*NET) and sociodemographic composition of occupations from the American Community Survey (ACS). After matching them to each other, we used them to enrich workers' health data from the General Social Survey (GSS). This matching process showed that 993 detailed O*NET-SOC codes from 2019 (O*NET-19 codes) matched 420 U.S. Census occupation codes (Census codes). This reduction resulted from two situations: a lack of equivalent Census codes and a consolidation of several O*NET-19 codes under a single Census code. Although we could match occupational data to all workers in GSS, full information on occupational exposure and sociodemographic composition of their jobs was not available for 35% of them. Since our findings are limited to O*NET-based rating of job control, we encourage other researchers to explore scoring of other aspects of occupational exposure and provide a checklist for that purpose.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149103112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pulmonary Function Impairment From Occupational Particulate Exposure Among Informal Sector Workers in South Asia: A Systematic Review and Meta-Analysis.","authors":"Debanjan Chakraborty, Aditya Nath, Lipika Mondal, Indranil Saha, Subhashis Sahu","doi":"10.1002/ajim.70143","DOIUrl":"https://doi.org/10.1002/ajim.70143","url":null,"abstract":"<p><strong>Background: </strong>Tens of millions of workers in South Asian informal industries are exposed daily to hazardous dusts and fumes without regulatory protection. Despite the scale of this workforce, no quantitative synthesis of spirometric and symptomatic evidence from this population has previously been conducted.</p><p><strong>Methods: </strong>A pre-registered systematic review and meta-analysis (OSF: 10.17605/OSF.IO/ZARDP) was conducted by searching MEDLINE, Embase, Scopus, Web of Science, and CINAHL. Cross-sectional studies comparing spirometry or respiratory symptom prevalence between informal sector workers and healthy controls in South Asia were eligible. Screening was conducted independently by two reviewers using Rayyan. Risk of bias was assessed with the AXIS tool and the JBI cross-sectional checklist. Pooled mean differences (MD) and odds ratios (OR) were estimated using random-effects models with restricted maximum likelihood (REML) estimation and the Knapp-Hartung (HKSJ) correction. Heterogeneity was quantified by I² and prediction intervals (PIs); meta-regression examined smoking prevalence, mean age, occupational sector, geographic region, and exposure measurement method as moderators. Certainty of evidence was graded using GRADE.</p><p><strong>Results: </strong>Thirty-eight studies (33 poolable; ~7880 participants) were included, spanning occupational sectors. There was significant between-study heterogeneity, with I² values of 97%-99% for the main spirometry variables and wide PIs reflecting large interstudy variation in effect sizes by occupation. Brick kiln workers and sawmill workers had the highest and most consistent FEV₁ deficits. Overall pooled analyses showed lower FEV₁ (MD: -0.59 L, 95% CI: -0.84 to -0.33), lower FVC (MD: -0.53 L, 95% CI: -0.71 to -0.35), and lower FEV₁/FVC ratio (MD: -5.5%, 95% CI: -9.21 to -1.78), although PIs crossed the null for some outcomes. Exposed workers were more likely to have respiratory symptoms, such as chronic cough or breathlessness, across all analyses.</p><p><strong>Conclusions: </strong>Occupational particulate exposure in South Asian informal sector workers is consistently associated with substantial meaningful reductions in lung function and substantially elevated respiratory symptom burden. Very low evidence certainty underscores the need for high-quality prospective research and targeted respiratory surveillance programmes for this underprotected workforce.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149103076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Review on Current Challenges and Knowledge Gaps in Artificial Stone Silicosis.","authors":"Paola Mason, Marco Biasioli, Filippo Liviero, Mariella Carrieri, Maria Luisa Scapellato, Vincenzo Baldo, Shivonne Prasad, Dunya Tomic, Ryan Hoy","doi":"10.1002/ajim.70142","DOIUrl":"https://doi.org/10.1002/ajim.70142","url":null,"abstract":"<p><strong>Background: </strong>The global emergence of artificial stone (AS) silicosis represents a critical occupational health challenge. The aim of this systematic review is to provide an overview of the clinical, functional, radiological, and occupational characteristics of patients affected by AS silicosis at the time of diagnosis, and to identify current knowledge gaps to guide future research.</p><p><strong>Methods: </strong>A systematic review following PRISMA guidelines was conducted using PubMed and Scopus databases.</p><p><strong>Results: </strong>Forty-eight percent of the analyzed studies had as their main focus the clinical characteristics of the disease, which affects relatively young workers (41.9 ± 5.6 years at diagnosis) with a mean duration of exposure of 13.5 ± 4.1 years. At the time of diagnosis, pulmonary function was normal in 53.4% of the cases. Among patients with altered respiratory parameters, the most frequent impairment was a reduction in lung diffusion capacity for carbon monoxide (DLCO [39.2%]), followed by a restrictive spirometry pattern (33.3%). Radiologically, although simple silicosis was the most common finding, over one-quarter of patients (28.6% ± 15.5%) presented with severe disease characterized by progressive massive fibrosis. No reliable biomarkers are available for effective screening. Although industrial hygiene studies with objective data were few, all demonstrated inadequately controlled dust emission and poor work practice education.</p><p><strong>Conclusions: </strong>AS silicosis is an aggressive condition that is frequently undetected early by standard functional tests or chest radiography. The main research gaps and uncertainties are not only in effective preventive measures and early diagnostic tools but also in prognostic aspects. Future research must prioritize the improvement of risk assessment strategies and the development of alternative safe materials to replace AS.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149057116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Workers' Illness, Injury, and Exit From the Home Health Care Services Industry.","authors":"Sung-Hee Jeon, Yuri Ostrovsky","doi":"10.1002/ajim.70141","DOIUrl":"https://doi.org/10.1002/ajim.70141","url":null,"abstract":"<p><strong>Background: </strong>High workforce turnover is among the main challenges facing home health care services industries (HHCS) in many countries. Illness and injury are often mentioned among the main reasons for leaving HHCS. We examine the impact of illness and injury on Canadian workers' exit from HHCS and discuss the implications.</p><p><strong>Methods: </strong>We use linked Canadian longitudinal administrative employment and health microdata from 2009 to 2022, also linked to 2016 Census microdata. Our longitudinal analysis uses the event study framework. We identify HHCS workers' health events using three sources: Records of Employment issued to ill or injured workers, workers' compensation payments, and acute hospitalization records. We use inverse propensity score weighting to balance the characteristics of workers who experienced a health event with those of workers who did not. Estimates for HHCS workers are compared with estimates for workers in long-term care facilities (LTC).</p><p><strong>Results: </strong>Illness and injury rates appear similar in the HHCS and LTC industries. HHCS workers who experience a health event at time t₀ have a lower probability of staying in the industry in t₀ + 1 year (0.839) and in t₀ + 5 (0.472) than comparable HHCS workers who do not (0.880 and 0.524, respectively). However, the differences in the post-t₀ survival profiles between the two groups are small.</p><p><strong>Conclusion: </strong>Illness and injury are unlikely to play a major role in HHCS workers' decision to leave the industry. Our results highlight the complexity of workforce retention in HHCS and suggest that factors beyond individual health may be more influential in shaping career trajectories.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149036136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recorded Occupational Injury and Disease Episode Rates by Sex and Sector in a Spanish Mutual Collaborator, 2022-2025.","authors":"Natalia Fernández Laviada, Antonio Cubero Atienza, Agustín Sánchez-Toledo Ledesma","doi":"10.1002/ajim.70139","DOIUrl":"https://doi.org/10.1002/ajim.70139","url":null,"abstract":"<p><strong>Background: </strong>Administrative comparisons of work-related disorders by sex can mislead without covered-population and work-distribution data. We estimated recorded occupational injury and disease episode rates from a Spanish mutual collaborator with the Social Security system and examined how contrasts changed after standardization for available employment characteristics.</p><p><strong>Methods: </strong>This retrospective registry-based study included 312,596 episodes of occupational injury or disease recorded during 2022-2025 among affiliates (covered workers) aged 16-75 years with sex reported as men or women. Annual affiliate counts were used to calculate episodes per 1000 annual affiliates, women-to-men rate ratios and rate differences. Rates were directly standardized by year and broad sector; employment type was added in sensitivity analysis. Commuting and travel during the working day were analyzed separately.</p><p><strong>Results: </strong>The pooled all-episode injury/disease rate was 38.36 per 1000 annual affiliates among women and 61.20 among men (rate ratio 0.627, 95% confidence interval 0.622-0.631). After standardization by year and sector, the rates were 38.28 and 55.69, respectively (rate ratio 0.687, 0.682-0.693). The overall traffic-coded rate was lower among women (rate ratio 0.915, 0.895-0.934), whereas the rate of all commuting episodes was higher (rate ratio 1.533, 1.502-1.565); travel during the working day was lower (rate ratio 0.675, 0.657-0.694).</p><p><strong>Conclusions: </strong>Denominator-based rates changed the interpretation of several occupational disorder proportions. Broad sector composition accounted for part, but not all, of the sex contrast. Occupational surveillance should link episode numerators to covered-population denominators and distinguish commuting from travel during work.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics Associated With Persistent Long COVID Symptoms in Healthcare Personnel Infected With SARS-CoV-2 Between August 2022 and May 2024: A Multicenter Cohort Analysis of US Healthcare Personnel.","authors":"Eric Kontowicz, Amanda K Irish, Lilly C Lee, Howard A Smithline, Ian D Plumb, Melissa Briggs-Hagen, Alexandra F Rollins, Karisa K Harland, Anusha Krishnadasan, Karin F Hoth, Eliezer Santos-León, David A Talan, Nicholas M Mohr","doi":"10.1002/ajim.70140","DOIUrl":"https://doi.org/10.1002/ajim.70140","url":null,"abstract":"<p><strong>Background: </strong>Long COVID affects a significant proportion of COVID-19 survivors. This study examined persistent Long COVID symptoms among healthcare personnel (HCP) and evaluated associations with vaccination, prior SARS-CoV-2 infection, underlying health conditions, and demographics.</p><p><strong>Methods: </strong>COVID-19-positive HCP were identified from a multi-state study of COVID-19 vaccine effectiveness. Electronic surveys collected symptom data at 3- and 6-month post-infection. The primary outcome, persistent Long COVID symptoms, was defined as the same moderate or severe symptom reported at both timepoints. Multivariable logistic regression estimated adjusted odds ratios (aOR) for persistent Long COVID, adjusting for demographics, recent vaccination, prior infection, and acute-phase illness severity.</p><p><strong>Results: </strong>Overall, 11.3% (169/1496) of HCP reported persistent Long COVID symptoms. Older age was associated with higher odds of persistent symptoms when compared to HCP ages 18-29 years: for ages 50-64 years, aOR = 1.94, 95% CI 1.09-3.49 and ≥ 65 years, aOR = 3.52, 95% CI 1.50-8.25. Female HCP had greater odds for persistent Long COVID (aOR = 3.05, 95% CI 1.58-5.86) than males. Prior infection (aOR = 1.78, 95% CI 1.14-2.78) and ≥ 2 underlying health conditions (aOR = 2.49, 95% CI 1.66-3.73) were associated with higher odds. Conversely, physicians (aOR = 0.21, 95% CI: 0.05-0.91), licensed practical and registered nurses (aOR = 0.59, 95% CI: 0.37-0.94), and therapists or therapist assistants (aOR = 0.27, 95% CI: 0.09-0.77) had lower odds versus non-clinical HCP.</p><p><strong>Conclusion: </strong>These findings underscore the frequency of persistent Long COVID symptoms among HCP and their potential to strain the healthcare workforce.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149011790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Affected Persons in Laboratory Exposures to Human Pathogens and Toxins in Canada, 2016-2024: A Sector-Specific Analysis.","authors":"Emily F Tran, Christine Abalos, Antoinette N Davis, Audrey Gauthier, Samuel Bonti-Ankomah","doi":"10.1002/ajim.70137","DOIUrl":"https://doi.org/10.1002/ajim.70137","url":null,"abstract":"<p><strong>Background: </strong>Exposures to human pathogens and toxins in licensed facilities in Canada have been monitored by a federal surveillance system since 2015, yet the affected persons (APs) in these incidents remain uncharacterized. This study comprehensively describes APs, highlighting sector-specific patterns and trends over time.</p><p><strong>Methods: </strong>Public Health Agency of Canada data on APs in exposure incidents between 2016 and 2024 (n = 1058) were analyzed. APs were described by disease outcome (APs who developed a laboratory-acquired infection [LAI]; APs who did not develop an LAI), role, sector, education, years of experience, route of exposure, main activity during exposure, exposure severity, root cause of exposure, occurrence type of exposure, post-exposure interventions and implicated agents.</p><p><strong>Results: </strong>The majority of APs were in the non-LAI group (96.6%), were technicians/technologists (74.5%), worked in the hospital sector (56.3%), completed a technical/trades college diploma (52.8%), were exposed via inhalation (62.7%), were performing microbiology activities during exposure (75.0%) and sought occupational health consultation within seven days of exposure (61.4%). The distributions of role, education, and route of exposure were most heterogeneous in the academic, other government and veterinary/animal health sectors and least heterogeneous in the hospital and public health sectors.</p><p><strong>Conclusions: </strong>Distributions of AP-related variables differed across sectors, varying most in the academic, other government, and veterinary/animal health sectors. Study findings contribute to the characterization of APs involved in exposure incidents and may inform future research aimed at identifying factors associated with exposure incidents and LAIs.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148975464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trends in Opioid-Related Poisonings and Mental and Behavioral Disorders From 2006 to 2022 Among a Large Cohort of Injured Workers in Ontario, Canada.","authors":"Jeavana Sritharan, Chaojie Song, Paul A Demers, Fateme Kooshki, Nancy Carnide","doi":"10.1002/ajim.70136","DOIUrl":"https://doi.org/10.1002/ajim.70136","url":null,"abstract":"<p><strong>Background: </strong>Work-related injuries may increase risk for opioid-related harms. Yet there remains a gap in our understanding of trends in opioid-related harms over time among injured workers. We estimated trends in hospital encounters for opioid-related harms among injured workers in Ontario, Canada from 2006 to 2022.</p><p><strong>Methods: </strong>This study used linked workers' compensation (1983-2019) and hospitalization and emergency department (ED) (2006-2022) data from 1.7 million injured workers. Rates of opioid-related poisonings and mental and behavioral disorders were estimated for all workers, as well as by age, sex, and occupational group. Joinpoint regression was used to analyze trends and estimate average annual percent change (AAPC) in rates.</p><p><strong>Results: </strong>Rates of harms significantly increased across all age groups and sexes, with the highest increases among male workers and those aged 35-44. There was also variation by occupation. For poisonings, some of the largest increases in ED visits and hospitalizations were among workers in machining (ED visits = AAPC 18.5%, 95% CI 0.0%-40.5%; hospitalizations = AAPC 8.1%, 95% CI 3.4%-13.0%), and in construction trades (ED visits = AAPC 15.0%, 95% CI 10.4%-19.7%; hospitalizations = AAPC 6.5%, 95% CI 4.2%-8.8%). For mental and behavioral disorders, ED visits and hospitalizations were highest among workers in clerical work (ED visits = AAPC 12.4%, 95% CI 0.1%-26.2%; hospitalizations = AAPC 12.1%, 95% CI 7.9%-16.5%) and in materials handling (ED visits = AAPC 11.6%, 95% CI 1.8%-22.3%, hospitalizations = AAPC 14.2%, 95% CI 8.4%-20.3%).</p><p><strong>Conclusion: </strong>Rates of opioid-related harms significantly increased over time among injured workers in Ontario, with substantial increases within certain occupational groups. Findings suggest injured workers should be a priority in ongoing surveillance and policy responses.</p>","PeriodicalId":7873,"journal":{"name":"American journal of industrial medicine","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148966196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}