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Ringen K, Dement J, Cloeren M, Almashat S, Hines S, Grier W, Quinn P, Chen A, Haas S. Mortality of older construction and craft workers employed at Department of Energy (DOE) nuclear sites: Follow-up through 2021. Am J Ind Med 2024; 67:261-273. [PMID: 38273456 DOI: 10.1002/ajim.23567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/07/2023] [Accepted: 01/11/2024] [Indexed: 01/27/2024]
Abstract
BACKGROUND To determine if construction and trades workers formerly employed at US Department of Energy (DOE) nuclear weapons sites are at significant risk for occupational diseases, we studied the mortality experience of participants in the Building Trades National Medical Screening Program (BTMed). METHODS The cohort included 26,922 participants enrolled between 1998 and 2021 and 8367 deaths. Standardized mortality ratios were calculated based on US death rates. Cox models compared construction workers (n = 22,747; 7487 deaths) to two nonconstruction subpopulations: administrative, scientific and security workers (n = 1894; 330 deaths), and all other nonconstruction workers (n = 2218; 550 deaths). RESULTS Mortality was elevated for all causes, all cancers, cancers of the trachea, bronchus, lung, kidneys, and lymphatic and hematopoietic system, mesothelioma, chronic obstructive pulmonary disease (COPD), asbestosis, transportation injuries, and other injuries, particularly accidental poisonings. There were 167 deaths from coronavirus disease 2019 (COVID-19), which was lower than expected using US death rates. Overall cause-specific mortality was significantly higher among construction workers than for internal comparison groups. CONCLUSIONS Construction workers employed at DOE sites have a significantly increased risk for occupational illnesses. Apart from COVID-19 deaths, this update: (1) found that mortality among construction workers is significantly elevated compared to the US population and significantly higher than in the internal comparison populations, and (2) confirmed excess risk for these workers for first employment after 1990. Cancer mortality risks are similar to the cancers identified for DOE compensation from radiation exposures. The high lung cancer risk supports the value of early lung cancer detection. Continued medical surveillance is important.
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Affiliation(s)
- Knut Ringen
- CPWR - The Center for Construction Research and Training, Seattle, Washington, USA
| | - John Dement
- Division of Occupational and Environmental Medicine, Duke University Medical Center, Durham, North Carolina
| | - Marianne Cloeren
- Division of Occupational and Environmental Medicine, School of Medicine, University of Maryland, College Park, Maryland, USA
| | - Sammy Almashat
- Division of Occupational and Environmental Medicine, School of Medicine, University of Maryland, College Park, Maryland, USA
| | - Stella Hines
- Division of Occupational and Environmental Medicine, School of Medicine, University of Maryland, College Park, Maryland, USA
| | - William Grier
- Division of Pulmonary and Critical Care Medicine, School of Medicine, University of Maryland, College Park, Maryland, USA
| | - Patricia Quinn
- CPWR - The Center for Construction Research and Training, Seattle, Washington, USA
| | - Anna Chen
- Zenith American Solutions, Tampa, Florida, USA
| | - Scott Haas
- Zenith American Solutions, Tampa, Florida, USA
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Stella S, Consonni D, Migliore E, Stura A, Cavone D, Vimercati L, Miligi L, Piro S, Landi MT, Caporaso NE, Curti S, Mattioli S, Brandi G, Gioscia C, Eccher S, Murano S, Casotto V, Comiati V, Negro C, D'Agostin F, Genova C, Benfatto L, Romanelli A, Grappasonni I, Madeo G, Cozzi I, Romeo E, Tommaso S, Carrozza F, Labianca M, Tallarigo F, Cascone G, Melis M, Marinaccio A, Binazzi A, Mensi C. Pleural mesothelioma risk in the construction industry: a case-control study in Italy, 2000-2018. BMJ Open 2023; 13:e073480. [PMID: 37567753 PMCID: PMC10423786 DOI: 10.1136/bmjopen-2023-073480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 07/07/2023] [Indexed: 08/13/2023] Open
Abstract
OBJECTIVES Workers in the construction industry have been exposed to asbestos in various occupations. In Italy, a National Mesothelioma Registry has been implemented more than 20 years ago. Using cases selected from this registry and exploiting existing control data sets, we estimated relative risks for pleural mesothelioma (PM) among construction workers. DESIGN Case-control study. SETTING Cases from the National Mesothelioma Registry (2000-2018), controls from three previous case-control studies. METHODS We selected male PM incident cases diagnosed in 2000-2018. Population controls were taken from three studies performed in six Italian regions within two periods (2002-2004 and 2012-2016). Age-adjusted and period-adjusted unconditional logistic regression models were fitted to estimate odds ratios (OR) for occupations in the construction industry. We followed two approaches, one (primary) excluding and the other (secondary) including subjects employed in other non-construction blue collar occupations for >5 years. For both approaches, we performed an overall analysis including all cases and, given the incomplete temporal and geographic overlap of cases and controls, three time or/and space restricted sensitivity analyses. RESULTS The whole data set included 15 592 cases and 2210 controls. With the primary approach (4797 cases and 1085 controls), OR was 3.64 (2181 cases) for subjects ever employed in construction. We found elevated risks for blue-collar occupations (1993 cases, OR 4.52), including bricklayers (988 cases, OR 7.05), general construction workers (320 cases, OR 4.66), plumbers and pipe fitters (305 cases, OR 9.13), painters (104 cases, OR 2.17) and several others. Sensitivity analyses yielded very similar findings. Using the secondary approach, we observed similar patterns, but ORs were remarkably lower. CONCLUSIONS We found markedly increased PM risks for most occupations in the construction industry. These findings are relevant for compensation of subjects affected with mesothelioma in the construction industry.
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Affiliation(s)
- Simona Stella
- Occupational Health Unit, Regional Operating Center of Lombardy (COR Lombardia), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Dario Consonni
- Occupational Health Unit, Regional Operating Center of Lombardy (COR Lombardia), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Enrica Migliore
- COR Piemonte, Cancer Epidemiology Unit, CPO and University of Turin, Turin, Italy
| | - Antonella Stura
- COR Piemonte, Cancer Epidemiology Unit, CPO and University of Turin, Turin, Italy
| | - Domenica Cavone
- COR Puglia, Section of Occupational Medicine 'B Ramazzini', Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Luigi Vimercati
- COR Puglia, Section of Occupational Medicine 'B Ramazzini', Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Lucia Miligi
- COR Toscana, Unit of Environmental and Occupational Epidemiology, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Sara Piro
- COR Toscana, Unit of Environmental and Occupational Epidemiology, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, USA
| | - Stefania Curti
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Stefano Mattioli
- Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy
| | - Giovanni Brandi
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- Oncology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Carmela Gioscia
- COR Valle d'Aosta, Valle d'Aosta Health Local Unit, Aosta, Italy
| | - Silvia Eccher
- COR Province of Trento, Provincial Unit of Health, Hygiene and Occupational Medicine, Trento, Italy
| | - Stefano Murano
- COR Province of Bolzano, Alto Adige Health Local Unit, Bolzano, Italy
| | - Veronica Casotto
- COR Veneto, Epidemiological Department, Azienda Zero, Padova, Italy
| | - Vera Comiati
- COR Veneto, Epidemiological Department, Azienda Zero, Padova, Italy
| | - Corrado Negro
- COR Friuli-Venezia Giulia, Clinical Unit of Occupational Medicine, University of Trieste-Trieste General Hospitals, Trieste, Italy
| | - Flavia D'Agostin
- COR Friuli-Venezia Giulia, Clinical Unit of Occupational Medicine, University of Trieste-Trieste General Hospitals, Trieste, Italy
| | - Carlo Genova
- UO Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Medicina Interna e Specialità Mediche, Università degli Studi di Genova, Genova, Italy
| | - Lucia Benfatto
- COR Liguria, UO Epidemiologia Clinica, IRCCS Ospedale Policlinico San Martino, Genova, Liguria, Italy
| | - Antonio Romanelli
- COR Emilia-Romagna, Public Health Department, Health Local Unit, Reggio Emilia, Italy
| | - Iolanda Grappasonni
- COR Marche, School of Medicinal and Health Products Sciences, University of Camerino, Camerino, Italy
| | - Gabriella Madeo
- COR Umbria, Servizio Prevenzione, Sanità Veterinaria e Sicurezza Alimentare, Regione Umbria, Perugia, Umbria, Italy
| | - Ilaria Cozzi
- COR Lazio, Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Lazio, Italy
| | - Elisa Romeo
- COR Lazio, Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Lazio, Italy
| | | | | | | | | | - Giuseppe Cascone
- COR Sicilia, Cancer Registry ASP Ragusa and Sicily Regional Epidemiological Observatory, Ragusa, Italy
| | - Massimo Melis
- COR Sardegna, Regional Epidemiological Center, Cagliari, Italy
| | - Alessandro Marinaccio
- Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Rome, Italy
| | - Alessandra Binazzi
- Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Rome, Italy
| | - Carolina Mensi
- Occupational Health Unit, Regional Operating Center of Lombardy (COR Lombardia), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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Hines SE, Dement J, Cloeren M, Cranford K, Quinn PS, Ringen K. Restrictive spirometry pattern among construction trade workers. Am J Ind Med 2023; 66:484-499. [PMID: 36942569 DOI: 10.1002/ajim.23474] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/22/2023] [Accepted: 03/07/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Spirometry-based studies of occupational lung disease have mostly focused on obstructive or mixed obstructive/restrictive outcomes. We wanted to determine if restrictive spirometry pattern (RSP) is associated with occupation and increased mortality. METHODS Study participants included 18,145 workers with demographic and smoking data and repeatable spirometry. The mortality analysis cohort included 15,445 workers with known vital status and cause of death through December 31, 2016. Stratified analyses explored RSP prevalence by demographic and clinical variables and trade. Log-binomial regression models explored RSP risk factors while controlling for important confounders such as smoking, obesity, and comorbidities. Cox regression models explored mortality risk by spirometry category. RESULTS Prevalence of RSP was very high (28.6%). Mortality hazard ratios for RSP were 1.50 for all causes, 1.86 for cardiovascular diseases, 2.31 for respiratory diseases, and 1.66 for lung cancer. All construction trades except painters, machinists, and roofers had significantly elevated risk for RSP compared to our internal reference group. RSP was significantly associated with both parenchymal and pleural changes seen by chest X-ray. CONCLUSIONS Construction trade workers are at significantly increased risk for RSP independent of obesity. Individuals with RSP are at increased risk for all-cause mortality as well as mortality attributable to respiratory diseases, cardiovascular diseases, and lung cancer. RSP deserves greater attention in occupational medicine and epidemiology.
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Affiliation(s)
- Stella E Hines
- Division of Occupational and Environmental Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - John Dement
- Division of Occupational and Environmental Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Marianne Cloeren
- Division of Occupational and Environmental Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Kim Cranford
- Zenith American Solutions, Covina, California, USA
| | - Patricia S Quinn
- Energy Employees Department, CPWR Center for Construction Research and Training, Silver Spring, Maryland, USA
| | - Knut Ringen
- Energy Employees Department, CPWR Center for Construction Research and Training, Silver Spring, Maryland, USA
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Wang M, Yao G, Sun Y, Yang Y, Deng R. Exposure to construction dust and health impacts - A review. CHEMOSPHERE 2023; 311:136990. [PMID: 36309055 DOI: 10.1016/j.chemosphere.2022.136990] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 10/03/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
Construction dust contributes a significant proportion of airborne particulate matter, affecting the health of its surrounding environment and population. Construction workers are normally exposed to dust at high levels and bear severe health risks. The existing articles concerning the exposure and health impacts of construction dust are limited, but this research field has received more and more attention. This work reviews literature in the field and tries to systematically assess the current research state. Here, we review (1) methods used to monitor or sample construction dust; (2) main characteristics of construction dust, including dust classification, exposed populations, and exposure concentrations; (3) potential health hazards and (4) health risk assessment of construction dust. From existing literature, the exposure concentrations of different types and sources of construction dust are usually the focus of attention, while its particle size distribution and chemical composition are rarely mentioned. The classification and characteristics of populations exposed to construction dust ought to be a key consideration but not clear enough so far. There still lacks in-depth study of health hazards and systematic assessment of risks associated with construction dust. In future, it is valuable to develop utility instruments to precisely monitor construction dust. Besides, control means to reduce the pollution of construction dust deserve more studies. Health hazards of construction dust should be verified by biological experiments. Moreover, emerging algorithm models should be utilized in the risk assessment. The findings will help gain a better understanding of construction dust exposure and associated health risks.
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Affiliation(s)
- Mingpu Wang
- School of Civil Engineering, Chongqing University, Chongqing, 400045, China; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing, 400045, China
| | - Gang Yao
- School of Civil Engineering, Chongqing University, Chongqing, 400045, China; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing, 400045, China
| | - Yujia Sun
- School of Civil Engineering, Chongqing University, Chongqing, 400045, China; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing, 400045, China
| | - Yang Yang
- School of Civil Engineering, Chongqing University, Chongqing, 400045, China; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Ministry of Education, Chongqing, 400045, China
| | - Rui Deng
- School of Civil Engineering, Chongqing University, Chongqing, 400045, China.
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Ringen K, Dement J, Welch L, Quinn P. How much have adverse occupational health outcomes among construction workers improved over time? Evidence from 25 years of medical screening. Am J Ind Med 2023; 66:18-29. [PMID: 36398410 DOI: 10.1002/ajim.23445] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Construction workers have always had a high risk of occupational illnesses. We used 25 years of data from a medical screening program serving older construction workers to determine how much health outcomes have improved over the past 60 years. METHODS We investigated changes in relative risk for chest radiographs consistent with pneumoconiosis, COPD by spirometry, lung cancer mortality, and audiometry-assessed hearing impairment among workers participating in a medical screening program. Results were stratified by decade of first construction employment: before 1960, 1960-1969, 1970-1979, 1980-1989, and after 1990. Poisson and Cox regression analyses assessed relative risk by decade adjusted for age, sex, smoking, and years of construction trade work. RESULTS Subjects were 94% male and, on average, 60 years old with 25 years of construction work. When compared to workers employed before 1960, those first employed after 1990 experienced the following reductions in model-adjusted relative risks: chronic obstructive pulmonary disease, 32%; all pneumoconiosis, 68%; parenchymal abnormalities, 35%; pleural abnormalities, 71%; hearing impairment, 20%; and lung cancer mortality, 48%. Risks started to decline in the 1960s with greatest reductions among workers first employed after 1970. CONCLUSIONS This study demonstrates the positive impact that adoption of occupational health protections have had over the past 60 years. The greatest risk reductions were observed for outcomes with strong regulatory and legal incentives to reduce exposures and associated risks, such as those associated with inhalation hazards (asbestos and silica), while lowest improvement was for hearing impairment, for which little regulatory enforcement and few prevention incentives have been adopted.
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Affiliation(s)
- Knut Ringen
- Energy Employees Department, CPWR-The Center for Construction Research and Training, Silver Spring, Maryland, USA
| | - John Dement
- Division of Occupational and Environmental Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Laura Welch
- Energy Employees Department, CPWR-The Center for Construction Research and Training, Silver Spring, Maryland, USA
| | - Patricia Quinn
- Energy Employees Department, CPWR-The Center for Construction Research and Training, Silver Spring, Maryland, USA
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Dement JM, Cloeren M, Ringen K, Quinn P, Chen A, Cranford K, Haas S, Hines S. COPD risk among older construction workers-Updated analyses 2020. Am J Ind Med 2021; 64:462-475. [PMID: 33728649 DOI: 10.1002/ajim.23244] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/05/2021] [Accepted: 03/02/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND A 2010 study of construction workers participating in medical screening programs at the Department of Energy (DOE) nuclear facilities demonstrated increased chronic obstructive pulmonary disease (COPD) risk. The current study of a larger worker cohort allowed for a more nuanced analysis of COPD risk, including for employment beginning after the mid-1990s. METHODS Study participants included 17,941 workers with demographic and smoking data and spirometry with a minimum of three recorded expiratory efforts and reproducibility of forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1 ) of 0.2 L or less. COPD was defined as a FEV1 /FVC ratio below the lower limit of normal using established prediction equations without use of bronchodilation. Stratified analyses explored COPD prevalence by demographic variables and trade. Logistic regression analyses assessed risks by trade and time periods of trade and DOE site work, controlling for age, gender, race/ethnicity, body mass index, and smoking. RESULTS Overall COPD prevalence was 13.4% and 67.4% of cases were classified as moderate to severe. Compared to nonconstruction workers, construction trade workers were at significantly increased risk of all COPD (OR = 1.34, 95% CI = 1.29-1.79) and even more so for severe COPD (OR = 1.61, 95% CI = 1.32-1.96). The highest risk trades were cement masons/bricklayers (OR = 2.36; 95% CI = 1.71-3.26) and roofers (OR = 2.22; 95% CI = 1.48-3.32). Risk among workers employed after 1995 was elevated but not statistically significant. CONCLUSIONS Construction workers are at increased COPD risk. Results support the prevention of both smoking and occupational exposures to reduce these risks. While the number of participants employed after 1995 was small, patterns of risk were consistent with findings in the overall cohort.
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Affiliation(s)
- John M. Dement
- Division of Occupational and Environmental Medicine, Department of Family Medicine and Community Health Duke University Medical Center Durham North Carolina USA
| | - Marianne Cloeren
- Division of Occupational and Environmental Medicine, School of Medicine University of Maryland Baltimore Maryland USA
| | - Knut Ringen
- Energy Workers Department CPWR—The Center for Construction Research and Training Silver Spring Maryland USA
| | - Patricia Quinn
- Energy Workers Department CPWR—The Center for Construction Research and Training Silver Spring Maryland USA
| | - Anna Chen
- Government Services Department Zenith American Solutions Seattle Washington USA
| | - Kim Cranford
- Government Services Department Zenith American Solutions Seattle Washington USA
| | - Scott Haas
- Government Services Department Zenith American Solutions Seattle Washington USA
| | - Stella Hines
- Division of Occupational and Environmental Medicine, School of Medicine University of Maryland Baltimore Maryland USA
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Dement JM, Ringen K, Hines S, Cranford K, Quinn P. Lung cancer mortality among construction workers: implications for early detection. Occup Environ Med 2020; 77:207-213. [DOI: 10.1136/oemed-2019-106196] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 12/20/2019] [Accepted: 01/14/2020] [Indexed: 01/06/2023]
Abstract
ObjectivesThis study examined predictors of lung cancer mortality, beyond age and smoking, among construction workers employed at US Department of Energy (DOE) sites to better define eligibility for low-dose CT (LDCT) lung cancer screening.MethodsPredictive models were based on 17 069 workers and 352 lung cancer deaths. Risk factors included age, gender, race/ethnicity, cigarette smoking, years of trade or DOE work, body mass index (BMI), chest X-ray results, spirometry results, respiratory symptoms, beryllium sensitisation and personal history of cancer. Competing risk Cox models were used to obtain HRs and to predict 5-year risks.ResultsFactors beyond age and smoking included in the final predictive model were chest X-ray changes, abnormal lung function, chronic obstructive pulmonary disease (COPD), respiratory symptoms, BMI, personal history of cancer and having worked 5 or more years at a DOE site or in construction. Risk-based LDCT eligibility demonstrated improved sensitivity, specificity and positive predictive value compared with current US Preventive Services Task Force guidelines. The risk of lung cancer death from 5 years of work in the construction industry or at a DOE site was comparable with the risk from a personal cancer history, a family history of cancer or a diagnosis of COPD. LDCT eligibility criteria used for DOE construction workers, which includes factors beyond age and smoking, identified 86% of participants who eventually would die from lung cancer compared with 51% based on age and smoking alone.ConclusionsResults support inclusion of risk from occupational exposures and non-malignant respiratory clinical findings in LDCT clinical guidelines.
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