Occupational exposure to asbestos and mortality among asbestos removal workers: a Poisson regression analysis

Frost, Gillian; Harding, A-H; Darnton, Andrew; McElvenny, Damien; Morgan, Derek

doi:10.1038/sj.bjc.6604564

Cited by 50 publications

(45 citation statements)

References 12 publications

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“…The incidence of pleural mesothelioma (PM) has been rising in industrialised countries over several decades, but seems to have levelled off over the last decade in several countries. However, asbestos is still used in elsewhere in the world, particularly in less-industrialised countries that frequently have inadequate safety regulations at work [2]. It is therefore important to continue to document the relationship between PM and different aspects of occupational exposure to asbestos, such as the age at first exposure, and the intensity and duration of exposure, as well as the time elapsed since the last exposure.…”

mentioning

confidence: 99%

Temporal patterns of occupational asbestos exposure and risk of pleural mesothelioma

Lacourt¹,

Leffondré²,

Gramond³

et al. 2011

Eur Respir J

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Asbestos is the primary cause of pleural mesothelioma (PM). The objective of this study was to elucidate the importance of different temporal patterns of occupational asbestos exposure on the risk of PM using case-control data in male subjects.Cases were selected from a French case-control study conducted in 1987-1993 and the French National Mesothelioma Surveillance Program in 1998-2006. Population controls were frequency matched to cases by year of birth. Occupational asbestos exposure was evaluated with a jobexposure matrix. The dose-response relationships were estimated using restricted cubic spline functions in logistic regression models.A total of 2,466 ever-asbestos-exposed males (1,041 cases and 1,425 controls) were used. After adjustment for intensity and total duration of occupational asbestos exposure, the risk of PM was lower for subjects first exposed after the age of 20 yrs and continued to increase until 30 yrs after cessation of exposure. The effect of total duration of exposure decreased when age at first exposure and time since last exposure increased.These results, based on a large population-based case-control study, underline the need to take into account the temporal pattern of exposure on risk assessment.

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mentioning

confidence: 99%

Temporal patterns of occupational asbestos exposure and risk of pleural mesothelioma

Lacourt¹,

Leffondré²,

Gramond³

et al. 2011

Eur Respir J

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“…Subsequently, other workers, such as carpenters and plumbers, insulators, shipbuilders and railway workers, were exposed from their use of the manufactured asbestos product. Latterly, workers who maintain buildings or remove asbestos from buildings have the highest asbestos exposure potential (Frost et al 2008). Non-occupational exposure occurred among family members of asbestos workers, who brought their clothes home for laundering or among those who lived nearby to an asbestos factory or who worked in a building that contained asbestos (Robinson 2012).…”

Section: Predictions Of Asbestos-related Diseasesmentioning

confidence: 99%

Review of the effectiveness of predictive models for mesothelioma to identify lessons for asbestos-related policy

Reid¹

2016

Evidence Base

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Predictions of future cases of asbestos-related disease have been undertaken at a national level to inform government policy and planning for future health needs. In general, we can separate the methods used to predict future cases of mesothelioma into models that use a) direct or b) indirect estimates of asbestos exposure. Direct estimates are those that have been derived mostly for occupationally exposed cohorts, where airborne fibre levels were measured over time. Indirect estimates tend to be information about total or fibre-specific asbestos imports or use from a range of time points. Most predictions undertaken at the national level have predicted future cases for males only and assume that indirect estimates of asbestos consumption reflect occupational asbestos exposure. These models tend to fit the observed data reasonably well but have undergone several refinements in order to improve their fit. Fewer attempts have been made to predict cases of mesothelioma resulting from non-occupational asbestos exposure, and most have not subsequently revisited their prediction to ascertain its accuracy so the robustness of these methods is unclear. Because of the change in asbestos use in recent decades, more attention should be paid to understanding the risks and burden of future cases arising from non-occupational exposure. A range of current data exist that should be sufficient to incorporate into models to predict future cases of mesothelioma arising from non-occupational asbestos exposure. Models could be tested for their accuracy by comparing them against the most recent 10 years of observed cases or against cases in women, whose most common source of exposure is non-occupational.Predictions of the future burden of disease are undertaken for a variety of policy and planning reasons. Knowledge about the future number of cases of a particular disease can assist health planners to allocate resources for primary prevention, screening and diagnosis, treatment, and palliative care. Estimates of the future burden of disease can also be used to evaluate prevention programs. For example, the number of observed cases after the introduction of a prevention program could be evaluated against the number of expected cases, assuming that the disease trends before the program was introduced continued into the future. In the same vein, a prediction that estimated a heavy future burden of a particular disease could alert public health specialists to instigate a prevention program in order to avoid that prediction scenario (Bray and Moller 2006).The simplest type of cancer prediction extrapolates past trends of cancer incidence or mortality to some date in to the future, but more information is required in order to estimate more complex scenarios. Ideally, information about the effect of a risk factor on the cancer of interest would be known by sex and age group for the past, present and future. In addition, the prevalence of exposure to that risk factor in the population would also be known. This information would then ...

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“…Among the carcinogens present in cigarette smoke are polycyclic aromatic hydrocarbons; N-nitrosamines; aromatic amines; 1,3-butadiene; benzene; aldehydes; and ethylene oxide. In addition to directly causing cancer, smoking can synergistically interact with occupational exposures known to separately cause cancer, leading to effects on cancer causation greater than the effects of the two factors separately [Wraith and Mengersen 2007;Frost et al 2011;Markowitz et al 2013] (see Box 3-1).…”

Section: Cancermentioning

confidence: 99%

“…For some occupational hazards, the combined impact of tobacco use and exposure to a toxic occupational agent can be synergistic (i.e., amounting to an effect profoundly greater than the sum of each independent effect). An example is the combined synergistic effect of tobacco smoking and asbestos exposure on lung cancer, which results in a profoundly increased risk of lung cancer among asbestos-exposed workers who smoke [NIOSH 1979;DHEW 1979b;IARC 2004;Frost et al 2011;Markowitz et al 2013].…”

Section: Combining Tobacco Use and Occupational Hazards Enhances Riskmentioning

confidence: 99%

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Current intelligence bulletin 67: promoting health and preventing disease and injury through workplace tobacco policies.

2015

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On the cover: The cover design includes a wispy background image intended to evoke the well-known health hazard of smoke associated with the use of combustible tobacco products, and the much less studied misty emissions associated with the use of electronic devices to "vape" liquids containing nicotine and other components. The full range of hazards associated with tobacco use extends well beyond such air contaminants, so the cover design also incorporates a text box to highlight the optimal "Tobacco-Free" (i.e., not just "SmokeFree") status for both workplaces and workers. The text box also evokes the NIOSH Total Worker Health TM strategy. This strategy maintains a strong focus on protection of workers against occupational hazards, including exposure to secondhand tobacco smoke on the job, while additionally encompassing workplace health promotion to target lifestyle risk factors, including tobacco use by workers. Photo by ©Thinkstock. Current Intelligence Bulletin 67 DisclaimerMention of any company or product does not constitute endorsement by the National Institute for Occupational Safety and Health (NIOSH). In addition, citations to websites external to NIOSH do not constitute NIOSH endorsement of the sponsoring organizations or their programs or products. Furthermore, NIOSH is not responsible for the content of these websites. All Web addresses referenced in this document were accessible as of the publication date. Ordering InformationTo receive documents or other information about occupational safety and health topics, contact NIOSH at

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Occupational exposure to asbestos and mortality among asbestos removal workers: a Poisson regression analysis

Cited by 50 publications

References 12 publications

Temporal patterns of occupational asbestos exposure and risk of pleural mesothelioma

Temporal patterns of occupational asbestos exposure and risk of pleural mesothelioma

Review of the effectiveness of predictive models for mesothelioma to identify lessons for asbestos-related policy

Current intelligence bulletin 67: promoting health and preventing disease and injury through workplace tobacco policies.

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