Academic literature on the topic 'Occupational exposure'

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Journal articles on the topic "Occupational exposure"

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Wiebert, Pernilla, Yiyi Xu, Milja Koponen, Sanni Uuksulainen4, Hilde Notø, Michelle Turner, Miguel Santibañez, et al. "157 Occupational chemical JEM development within the European Job-Exposure Matrix (EuroJEM), EU Exposome Project for Health and Occupational Research (EPHOR)." Annals of Work Exposures and Health 68, Supplement_1 (June 1, 2024): 1. http://dx.doi.org/10.1093/annweh/wxae035.066.

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Abstract Introduction A first version of a European Job-exposure matrix (EuroJEM) for chemicals and particles has been developed within the EU Exposome Project for Health and Occupational Research (EPHOR). The aim was to produce an improved tool for exposure assessment for epidemiological studies on the European population. The working group includes experts on job-exposure matrices and/or occupational exposures from several European countries, including Sweden, Finland, Norway, Denmark, Netherlands, France, and Spain. Methodology The first version, EuroJEM1.0, includes Respirable Crystalline Silica Dust, Wood dust, Diesel Engine Exhaust (EC) and Nickel. Exposure data were obtained from JEM-holders, and occupational codes were translated into ISCO-88(COM). Experts from the working group independently harmonized EuroJEM values from three to five JEMs for each agent. Consensus was reached during meetings. First the prevalence of exposed subjects in an occupation was assessed. In the next step a level was assigned to occupations with at least 25 % exposed workers. Nickel could not be assigned with exposure levels due to poor data quality. Regional differences in exposure have been included when indicated from the underlying data. The EuroJEM will be made publicly available. Results EuroJEM contains 29 occupations exposed to Respirable Crystalline Silica Dust, 12 to Wood dust and 44 to Diesel Engine Exhaust and 14 to Nickel. Conclusions This is the first attempt to harmonize several European JEMs to be used in European epidemiological studies on work exposure and disease. It will be linked with the EPHOR mega cohort as a next step.
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Hall, Amy L., Paul A. Demers, George Astrakianakis, Calvin Ge, and Cheryl E. Peters. "Estimating National-Level Exposure to Antineoplastic Agents in the Workplace: CAREX Canada Findings and Future Research Needs." Annals of Work Exposures and Health 61, no. 6 (June 8, 2017): 656–58. http://dx.doi.org/10.1093/annweh/wxx042.

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AbstractObjectives:Occupational exposure to antineoplastic agents occurs in various environments and is associated with increased cancer risk and adverse reproductive outcomes. National-level information describing the location and extent of occupational exposure to antineoplastic agents is unavailable in Canada and most other countries. CAREX Canada aimed to estimate the prevalence and relative levels of occupational exposures to antineoplastic agents across work setting, occupation, and sex.Methods:‘Exposure’ was defined as any potential for worker contact with antineoplastic agents. Baseline numbers of licensed workers were obtained from their respective professional bodies. For unlicensed workers, Census data or data extrapolated from human resources reports (e.g., staffing ratios) were used. Prevalence was estimated by combining population estimates with exposure proportions from peer-reviewed and grey literature. Exposure levels (classified as low, moderate, and high) by occupation and work setting were estimated qualitatively by combining estimates of contact frequency and exposure control practices.Results:Approximately 75000 Canadians (0.42% of the total workforce) are estimated as occupationally exposed to antineoplastic agents; over 75% are female. The largest occupational group exposed to antineoplastic agents is community pharmacy workers, with 30200 exposed. By work setting, 39000 workers (52% of all exposed) are located in non-hospital settings; the remaining 48% are exposed in hospitals. The majority (75%) of workers are in the moderate exposure category.Conclusions:These estimates of the prevalence and location of occupational exposures to antineoplastic agents could be used to identify high-risk groups, estimate disease burden, and target new research and prevention activities. The limited secondary data available for developing these estimates highlights the need for increased quantitative measurement and documentation of antineoplastic agent contamination and exposure, particularly in work environments where use is emerging.
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Duijster, Janneke, Lapo Mughini-Gras, Jacques Neefjes, and Eelco Franz. "Occupational exposure and risk of colon cancer: a nationwide registry study with emphasis on occupational exposure to zoonotic gastrointestinal pathogens." BMJ Open 11, no. 8 (August 2021): e050611. http://dx.doi.org/10.1136/bmjopen-2021-050611.

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ObjectivesWhile colon cancer (CC) risk is associated with several lifestyle-related factors, including physical inactivity, smoking and diet, the contribution of occupation to CC morbidity remains largely unclear. Growing evidence indicates that gastrointestinal infections like salmonellosis could contribute to CC development. We performed a nationwide registry study to assess potential associations between occupation (history) and CC, including also those occupations with known increased exposure to gastrointestinal pathogens like Salmonella.MethodsPerson-level occupational data for all residents in The Netherlands were linked to CC diagnosis data. Differences in the incidence of (overall, proximal and distal) CC among occupational sectors and risk groups were tested for significance by calculating standardised incidence ratios (SIRs) with 95% CIs using the general population as reference group. Effects of gender, age, exposure duration and latency were also assessed.ResultsSignificant differences in CC incidence were observed only for a few occupational sectors, including the manufacturing of rubber and plastics, machinery and leather, the printing sector and the information service sector (SIRs 1.06–1.88). No elevated risk of CC was observed among people with increased salmonellosis risk through occupational exposure to live animals, manure or among those working in the sale of animal-derived food products (SIRs 0.93–0.95, 0.81–0.95 and 0.93–1.09 for overall, proximal and distal CC, respectively).ConclusionsThe results of this study suggest that occupation in itself provides a relatively small contribution to CC incidence. This is consistent with previous studies where a similar degree of variation in risk estimates was observed. The lack of an association with the high-risk occupations for salmonellosis might be due to higher levels of physical activity, a known protective factor for CC and other diseases, of people working in the agricultural sector, which might outweigh the potential Salmonella-associated risk of CC.
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Pauli, Roman, and Jessica Lang. "O-073 DIFFERENCES IN PSYCHOSOCIAL RISK EXPOSURE ACROSS INTERNATIONAL STANDARD CLASSIFICATION OF OCCUPATIONS GROUPS." Occupational Medicine 74, Supplement_1 (July 1, 2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.0594.

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Abstract Introduction Psychosocial stressors at work are differentially associated with strain outcomes, depending on occupational sector, level of education, hierarchical level, and occupational status. The aim of this study is to derive risk profiles for employees’ exposure to psychosocial job stressors in different occupations across International Standard Classification of Occupations (ISCO)-groups. Knowledge of these exposure profiles is an important prerequisite for deriving occupational safety and health measures tailored to the specific requirements of different occupational groups. Methods We assessed psychosocial job stressors across eight job characteristics using data of n = 10162 employees from 48 companies in Germany. We used linear mixed effects modeling to determine the amount of variance in employees’ exposure to job stressors attributable to occupation and visualize psychosocial risk profiles across ISCO groups. For a subsample, we also model stressor-strain relationships across ISCO major groups. Results Interclass correlation coefficients (ICC1) indicate up to 31% of the variance in exposure to job stressors is attributable to clustering. ISCO major groups yield different patterns of exposure to job stressors and varying slopes for the association of job stress and employee wellbeing. Discussion and conclusion Our results add to prior research findings on varying stressor-strain association across occupations by shedding light on how different occupations are exposed to different psychosocial risks. These findings provide practical information for professionals in charge of deriving occupational health and safety measures tailored to the specific exposure profiles of occupational groups.
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Goldman, Noreen, Anne R. Pebley, Keunbok Lee, Theresa Andrasfay, and Boriana Pratt. "Racial and ethnic differentials in COVID-19-related job exposures by occupational standing in the US." PLOS ONE 16, no. 9 (September 1, 2021): e0256085. http://dx.doi.org/10.1371/journal.pone.0256085.

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Researchers and journalists have argued that work-related factors may be partly responsible for disproportionate COVID-19 infection and death rates among vulnerable groups. We evaluate these issues by describing racial and ethnic differences in the likelihood of work-related exposure to COVID-19. We extend previous studies by considering 12 racial and ethnic groups and five types of potential occupational exposure to the virus: exposure to infection, physical proximity to others, face-to-face discussions, interactions with external customers and the public, and working indoors. Most importantly, we stratify our results by occupational standing, defined as the proportion of workers within each occupation with at least some college education. This measure serves as a proxy for whether workplaces and workers employ COVID-19-related risk reduction strategies. We use the 2018 American Community Survey to identify recent workers by occupation, and link 409 occupations to information on work context from the Occupational Information Network to identify potential COVID-related risk factors. We then examine the racial/ethnic distribution of all frontline workers and frontline workers at highest potential risk of COVID-19, by occupational standing and by sex. The results indicate that, contrary to expectation, White frontline workers are often overrepresented in high-risk jobs while Black and Latino frontline workers are generally underrepresented in these jobs. However, disaggregation of the results by occupational standing shows that, in contrast to Whites and several Asian groups, Latino and Black frontline workers are overrepresented in lower standing occupations overall and in lower standing occupations associated with high risk, and thus may be less likely to have adequate COVID-19 protections. Our findings suggest that greater work exposures likely contribute to a higher prevalence of COVID-19 among Latino and Black adults and underscore the need for measures to reduce potential exposure for workers in low standing occupations and for the development of programs outside the workplace.
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Boiano, James M., Sharon R. Silver, Rebecca J. Tsai, Wayne T. Sanderson, Sa Liu, and Lawrence W. Whitehead. "Development of Job Exposure Matrices to Estimate Occupational Exposure to Solar and Artificial Ultraviolet Radiation." Annals of Work Exposures and Health 64, no. 9 (October 3, 2020): 936–43. http://dx.doi.org/10.1093/annweh/wxaa076.

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Abstract Objectives Job exposure matrices (JEMs) are important tools for estimating occupational exposures in study populations where only information on industry and occupation (I&O) are available. JEMs The objective of this work was to create JEMs for solar and artificial ultraviolet radiation (UVR) using a US standardized coding scheme. Methods Using U.S. Census Bureau industry and occupation codes, separate lists of I&O pairs were developed for solar and artificial UVR by a panel of Certified Industrial Hygienists who assigned exposure ratings to I&O pairs with potential exposure. Parameters for exposure included prevalence (P) and frequency (F) for solar UVR and P, F, and intensity (I) for artificial UVR. Prevalence, or percent of all workers employed in an I&O pair who were exposed, was categorically rated: 0 to <1, 1 to <20; 20 to <80, and ≥80. Frequency of exposure, defined by the number of hours per week workers were exposed, was categorically rated: 0 to <5, 5 to <20, 20 to <35, and ≥35 h per week. For artificial UVR only, intensity of exposure was assigned three ratings: low, low with rare excursions, and >low under normal conditions. Discrepant ratings were resolved via consensus. Results After excluding I&O pairs assigned P and F ratings of 0 (solar UVR) and P, F, and I ratings of 0 (artificial UVR) from the JEM, 9206 I&O pairs were rated for solar UVR and 2010 I&O pairs for artificial UVR. For solar UVR, 723 (7.9% of all rated pairs) had ratings in the highest category for P and F; this group included 45 occupations in varied industries. Construction and extraction occupations represented most of the occupations (n = 20; 44%), followed by farming, fishing, and forestry occupations (n = 6; 13%). For artificial UVR, 87 I&O pairs (4.3% of all rated pairs) had maximum ratings for P, F, and I; these comprised a single occupation (welding, soldering, and brazing workers) in diverse industries. Conclusions JEMs for solar and artificial UVR were developed for a broad range of I&O pairs in the US population and are available for use by researchers conducting occupational epidemiological studies.
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Green, Brett J., and Donald H. Beezhold. "Industrial Fungal Enzymes: An Occupational Allergen Perspective." Journal of Allergy 2011 (June 21, 2011): 1–11. http://dx.doi.org/10.1155/2011/682574.

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Occupational exposure to high-molecular-weight allergens is a risk factor for the development and pathogenesis of IgE-mediated respiratory disease. In some occupational environments, workers are at an increased risk of exposure to fungal enzymes used in industrial production. Fungal enzymes have been associated with adverse health effects in the work place, in particular in baking occupations. Exposure-response relationships have been demonstrated, and atopic workers directly handling fungal enzymes are at an increased risk for IgE-mediated disease and occupational asthma. The utilization of new and emerging fungal enzymes in industrial production will present new occupational exposures. The production of antibody-based immunoassays is necessary for the assessment of occupational exposure and the development of threshold limit values. Allergen avoidance strategies including personal protective equipment, engineering controls, protein encapsulation, and reduction of airborne enzyme concentrations are required to mitigate occupational exposure to fungal enzymes.
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Engel, Connie L., M. Sharima Rasanayagam, Janet M. Gray, and Jeanne Rizzo. "Work and Female Breast Cancer: The State of the Evidence, 2002–2017." NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy 28, no. 1 (April 16, 2018): 55–78. http://dx.doi.org/10.1177/1048291118758460.

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The authors undertook a scoping review to assess the literature from 2002 to 2017 on the relationship between occupation and female breast cancer. Case–control, cohort, and meta-analytic studies suggest that women working as flight attendants, in medical professions, some production positions, sales and retail, and scientific technical staff are likely to have elevated risk of breast cancer. In addition, occupational exposures to night-shift work, ionizing radiation, some chemicals, job stress, and sedentary work may increase risk of breast cancer. Occupational physical activity appears to decrease risk. Workplace exposures to passive smoke and occupational exposure to nonionizing radiation do not appear to affect breast cancer risk. Some studies of occupational categories and workplace exposures indicate that risk may be modified by duration of exposure, timing of exposure, dose, hormone-receptor subtypes, and menopausal status at diagnosis. The compelling data from this review reveal a substantial need for further research on occupation and breast cancer.
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Osei, Ernest, Faiza Nuru, and Michael Moore. "ASSESSMENT OF OCCUPATIONAL RADIATION DOSES OF MEDICAL RADIATION WORKERS IN TWO COMMUNITY HOSPITALS." Radiation Protection Dosimetry 192, no. 1 (October 2020): 41–55. http://dx.doi.org/10.1093/rpd/ncaa190.

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Abstract The International Commission on Radiological Protection recommends the adoption of the linear, no-threshold model as a predictive risk model for radiation protection purposes since the relationship between low-dose radiation exposure and cancer risk is unclear. Medical radiation workers are subject to occupational exposures and differences in workload, area of work and types of exposure can lead to variations in exposures between different occupational groups. We investigated the occupational exposures of 572 workers from four departments in two community hospitals and stratified into 22 occupational groups in order to identify groups with the highest radiation exposure. The occupational doses from 2015 to 2019 were analyzed to identify the dose distribution of each occupational group, total number of monitored workers, annual and collective deep (Hp(10)), eye (Hp(3)) and shallow (Hp(0.07)) doses. We further determined the individual and occupational group lifetime doses as well as the probability that monitored workers’ lifetime doses will exceed a specified lifetime dose level. The occupational groups with the highest radiation exposures were the nuclear medicine technologists, diagnostic imaging radiologists and diagnostic cardiologists. Although our data suggest that occupational doses reported are low, it is essential that exposure of occupationally exposed personnel are always kept as low as reasonably achievable with an effective radiation protection program.
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Scarselli, Alberto, Alessandro Marinaccio, Marisa Corfiati, Davide Di Marzio, and Sergio Iavicoli. "Occupational asbestos exposure after the ban: a job exposure matrix developed in Italy." European Journal of Public Health 30, no. 5 (August 3, 2020): 936–41. http://dx.doi.org/10.1093/eurpub/ckaa118.

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Abstract Background Asbestos is a well-known carcinogen for humans. The aim of this study is to develop a tool to estimate occupational asbestos exposure in Italy after the ban using information collected in a national dataset. Methods Data were collected from firm registries of workers exposed to asbestos in the period 1996–2016. Descriptive statistics (arithmetic mean, standard deviation, geometric mean and geometric standard deviation) were calculated for the main exposure-related variables (activity sector, occupational group and exposure period). An estimate of workers potentially exposed to asbestos was also performed. Results A total of 19 704 airborne measurements of asbestos exposure was selected from the national database of occupational exposures in the sectors of asbestos abatement. Overall, a geometric mean of 7.93 f l−1 was found, and chrysotile was the asbestos type that had more exposures (41%). A total of 46 422 workers was estimated to be potentially at asbestos exposure risk. Exposure data were summarized by calendar period, activity sector and occupational group. Conclusions The construction of a job exposure matrix for different occupation/industry combinations may allow the assessment of occupational exposure to asbestos in several removal and disposal activities, and the estimate of the risks associated with asbestos-related diseases in epidemiological studies.
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Dissertations / Theses on the topic "Occupational exposure"

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Alwis, Kuruppuge Udeni. "Occupational Exposure to Wood Dust." Thesis, The University of Sydney, 1998. http://hdl.handle.net/2123/392.

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ABSTRACT Occupational exposure to wood dust and biohazards associated with wood dust (endotoxins, (1->3)-b-D-glucans, Gram (-)ve bacteria and fungi), their correlation to respiratory function, and symptoms among woodworkers have been investigated in the present study. Wood dust, endotoxins, and allergenic fungi are the main hazards found in woodworking environments. Relatively very few studies have been done on wood dust exposure. The present study was designed to comprehensively investigate the health effects of wood dust exposure, and in particular provide new information regarding: Exposure to (1->3)-b-D-glucans in an occupational environment; Levels of exposure to wood dust and biohazards associated with wood dust in different woodworking environments; Correlations among personal exposures, especially correlations between (1->3)-b-D-glucans and fungi exposures, and endotoxins and Gram (-)ve bacteria exposures; Effects of personal exposure to biohazards on lung function; Effects of personal exposure to biohazards on work-related symptoms; and Determinants of inhalable exposures (provide which factors in the environment influence the personal inhalable exposures). Workers at four different woodworking processes; two logging sites, four sawmills, one major woodchipping operation and five joineries situated in the state of New South Wales in Australia were studied for personal exposure to inhalable dust (n=182) and respirable dust (n=81), fungi (n=120), Gram (-)ve bacteria (n=120), inhalable endotoxin (n=160), respirable endotoxin (n=79), inhalable (1->3)-b-D-glucan (n=105), and respirable (1->3)-b-D-glucan (n=62). The workers (n=168) were also tested for lung function. A questionnaire study (n=195) was carried out to determine the prevalence of work-related symptoms. The geometric mean inhalable exposure at logging sites was 0.56 mg/m3 (n=7), sawmills 1.59 mg/m3 (n=93), the woodchipping mill 1.86 mg/m3 (n=9) and joineries 3.68 mg/m3 (n=66). Overall, sixty two percent of the exposures exceeded the current standards. Among joineries, 95% of the hardwood exposures and 35% of the softwood exposures were above the relevant standards. Compared with green mills, the percentage of samples, which exceeded the hardwood standard was high for dry mills (70% in dry mills, 50% in green mills). The respirable dust exposures were high at the joineries compared with the other worksites. Exposure levels to fungi at logging sites and sawmills were in the range 103-104 cfu/m3, woodchipping 103-105 cfu/m3 and joineries 102-104 cfu/m3. The predominant fungi found at sawmills were Penicillium spp. High exposure levels of Aureobasidium pullulans were also found at two sawmills. At the woodchipping mill the predominant species were Aspergillus fumigatus, Penicillium spp., and Paecilomyces spp. The sawmills, which employed kiln drying processes, had lower exposure levels of fungi compared with the green mills. Those workplaces which had efficient dust control systems showed less exposure to fungi and bacteria. Although mean endotoxin levels were lower than the suggested threshold value of 20 ng/m3, some personal exposures at sawmills and joineries exceeded the threshold limit value. The mean inhalable (1->3)-b-D-glucan level at the woodchipping mill was 2.32 ng/m3, at sawmills 1.37 ng/m3, at logging sites 2.02 ng/m3, and at joineries 0.43 ng/m3. For the respirable size fraction, mean endotoxin and mean (1->3)-b-D-glucan concentrations were much lower, being similar to observed dust concentrations. Significant correlations were found between mean inhalable endotoxin and Gram (-)ve bacteria levels (p<0.0001), and mean airborne inhalable (1->3)-b-D-glucan and fungi levels (p=0.0003). The correlations between mean respirable endotoxin levels vs Gram (-)ve bacteria exposure levels (p=0.005), and respirable (1->3)-b-D-glucan exposure levels vs total fungi levels (p=0.005) were also significant. Significant correlations were found between lung function and personal exposures. Multivariate analyses showed that the effect of all the personal exposures on cross-shift decrements in lung function was more prominent among sawmill and chip mill workers compared with joinery workers. Woodworkers had markedly high prevalence of cough, phlegm, chronic bronchitis, frequent headaches, throat and eye irritations, and nasal symptoms compared with controls. Among the woodworkers, smokers had a high prevalence of chronic bronchitis (20%) compared with non-smokers (10%). Some workers also reported a variety of allergy problems due to exposure to various types of wood dust. Both joinery workers and sawmill and chip mill workers revealed significant correlations between work-related symptoms and personal exposures. Chronic bronchitis was significantly correlated with personal exposure to wood dust, endotoxin, (1->3)-b-D-glucan, fungi, and Gram (-)ve bacteria among joinery workers. Whereas among sawmill workers chronic bronchitis was significantly correlated with personal exposure to endotoxin, (1->3)-b-D-glucan, and fungi. Woodworkers showed significant positive correlations between percentage cross-shift change (decrease) in lung function and respiratory symptoms. Significant inverse correlations were also found among percentage predicted lung function and respiratory symptoms. The elevated inhalable dust exposures observed in this study can be explained by a combination of factors, including: lack of awareness of potential health effects of wood dust exposure among both management and workers, aging equipment, inadequate and ineffective dust extraction systems or usually none especially for hand held tools, poor maintenance of the ventilation system in some, non-segregation of dusty processes, dry sweeping, and the use of compressed air jets. The determinant-of-exposure analysis confirmed the field observations. The significant determinants of personal inhalable dust exposures (n=163) were found to be: local exhaust ventilation, job title, use of hand-held tools, cleaning method used, use of compressed air, and green or dry wood processed. Type of wood processed was not found to be statistically significant. A majority of workers (~90%) did not wear appropriate respirators approved for wood dust, while the workers who did wear them, used them on average less than 50% of the time. Workers should be protected by controlling dust at its source. When exposure to wood dust cannot be avoided, engineering controls should be supplemented with the use of appropriate personal protective equipment.
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Alwis, Kuruppuge Udeni. "Occupational Exposure to Wood Dust." University of Sydney, Department of Public Health and Community Medicine, 1998. http://hdl.handle.net/2123/392.

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ABSTRACT Occupational exposure to wood dust and biohazards associated with wood dust (endotoxins, (1->3)-b-D-glucans, Gram (-)ve bacteria and fungi), their correlation to respiratory function, and symptoms among woodworkers have been investigated in the present study. Wood dust, endotoxins, and allergenic fungi are the main hazards found in woodworking environments. Relatively very few studies have been done on wood dust exposure. The present study was designed to comprehensively investigate the health effects of wood dust exposure, and in particular provide new information regarding: Exposure to (1->3)-b-D-glucans in an occupational environment; Levels of exposure to wood dust and biohazards associated with wood dust in different woodworking environments; Correlations among personal exposures, especially correlations between (1->3)-b-D-glucans and fungi exposures, and endotoxins and Gram (-)ve bacteria exposures; Effects of personal exposure to biohazards on lung function; Effects of personal exposure to biohazards on work-related symptoms; and Determinants of inhalable exposures (provide which factors in the environment influence the personal inhalable exposures). Workers at four different woodworking processes; two logging sites, four sawmills, one major woodchipping operation and five joineries situated in the state of New South Wales in Australia were studied for personal exposure to inhalable dust (n=182) and respirable dust (n=81), fungi (n=120), Gram (-)ve bacteria (n=120), inhalable endotoxin (n=160), respirable endotoxin (n=79), inhalable (1->3)-b-D-glucan (n=105), and respirable (1->3)-b-D-glucan (n=62). The workers (n=168) were also tested for lung function. A questionnaire study (n=195) was carried out to determine the prevalence of work-related symptoms. The geometric mean inhalable exposure at logging sites was 0.56 mg/m3 (n=7), sawmills 1.59 mg/m3 (n=93), the woodchipping mill 1.86 mg/m3 (n=9) and joineries 3.68 mg/m3 (n=66). Overall, sixty two percent of the exposures exceeded the current standards. Among joineries, 95% of the hardwood exposures and 35% of the softwood exposures were above the relevant standards. Compared with green mills, the percentage of samples, which exceeded the hardwood standard was high for dry mills (70% in dry mills, 50% in green mills). The respirable dust exposures were high at the joineries compared with the other worksites. Exposure levels to fungi at logging sites and sawmills were in the range 103-104 cfu/m3, woodchipping 103-105 cfu/m3 and joineries 102-104 cfu/m3. The predominant fungi found at sawmills were Penicillium spp. High exposure levels of Aureobasidium pullulans were also found at two sawmills. At the woodchipping mill the predominant species were Aspergillus fumigatus, Penicillium spp., and Paecilomyces spp. The sawmills, which employed kiln drying processes, had lower exposure levels of fungi compared with the green mills. Those workplaces which had efficient dust control systems showed less exposure to fungi and bacteria. Although mean endotoxin levels were lower than the suggested threshold value of 20 ng/m3, some personal exposures at sawmills and joineries exceeded the threshold limit value. The mean inhalable (1->3)-b-D-glucan level at the woodchipping mill was 2.32 ng/m3, at sawmills 1.37 ng/m3, at logging sites 2.02 ng/m3, and at joineries 0.43 ng/m3. For the respirable size fraction, mean endotoxin and mean (1->3)-b-D-glucan concentrations were much lower, being similar to observed dust concentrations. Significant correlations were found between mean inhalable endotoxin and Gram (-)ve bacteria levels (p<0.0001), and mean airborne inhalable (1->3)-b-D-glucan and fungi levels (p=0.0003). The correlations between mean respirable endotoxin levels vs Gram (-)ve bacteria exposure levels (p=0.005), and respirable (1->3)-b-D-glucan exposure levels vs total fungi levels (p=0.005) were also significant. Significant correlations were found between lung function and personal exposures. Multivariate analyses showed that the effect of all the personal exposures on cross-shift decrements in lung function was more prominent among sawmill and chip mill workers compared with joinery workers. Woodworkers had markedly high prevalence of cough, phlegm, chronic bronchitis, frequent headaches, throat and eye irritations, and nasal symptoms compared with controls. Among the woodworkers, smokers had a high prevalence of chronic bronchitis (20%) compared with non-smokers (10%). Some workers also reported a variety of allergy problems due to exposure to various types of wood dust. Both joinery workers and sawmill and chip mill workers revealed significant correlations between work-related symptoms and personal exposures. Chronic bronchitis was significantly correlated with personal exposure to wood dust, endotoxin, (1->3)-b-D-glucan, fungi, and Gram (-)ve bacteria among joinery workers. Whereas among sawmill workers chronic bronchitis was significantly correlated with personal exposure to endotoxin, (1->3)-b-D-glucan, and fungi. Woodworkers showed significant positive correlations between percentage cross-shift change (decrease) in lung function and respiratory symptoms. Significant inverse correlations were also found among percentage predicted lung function and respiratory symptoms. The elevated inhalable dust exposures observed in this study can be explained by a combination of factors, including: lack of awareness of potential health effects of wood dust exposure among both management and workers, aging equipment, inadequate and ineffective dust extraction systems or usually none especially for hand held tools, poor maintenance of the ventilation system in some, non-segregation of dusty processes, dry sweeping, and the use of compressed air jets. The determinant-of-exposure analysis confirmed the field observations. The significant determinants of personal inhalable dust exposures (n=163) were found to be: local exhaust ventilation, job title, use of hand-held tools, cleaning method used, use of compressed air, and green or dry wood processed. Type of wood processed was not found to be statistically significant. A majority of workers (~90%) did not wear appropriate respirators approved for wood dust, while the workers who did wear them, used them on average less than 50% of the time. Workers should be protected by controlling dust at its source. When exposure to wood dust cannot be avoided, engineering controls should be supplemented with the use of appropriate personal protective equipment.
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Edwards, John W. "Biological monitoring of occupational chemical exposure /." Title page, contents and summary only, 1990. http://web4.library.adelaide.edu.au/theses/09PH/09phe2652.pdf.

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Labrèche, France P. "Occupational solvent exposure and mental disorders." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74252.

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A case-referent study was designed to investigate the relationship between occupational solvent exposure and mental disorders. New cases of mental disorder (males, 40 to 69 years old), were individually matched for age and date of admission to hospital patients and neighbors. An occupational history was obtained from 91.7% of the sample (1143 subjects, or 381 'trios'), during a telephone interview or by mail.
No increased risk of mental disorders was found among subjects exposed to moderate levels of solvents, but the risk was elevated--though not to a statistically significant degree--at exposure to high levels. When diagnoses were divided into psychotic (ICD-9 codes 290-299) and non-psychotic (ICD-9 codes 300-316), the latter group presented an increased risk with exposure to high levels of solvents (odds ratio = 2.43, 90% C.I. = 1.16-5.08). No systematic exposure-response relationship was demonstrated, although there was a suggestion of increased risk of mental disorders among subjects exposed to high levels for 5 to 9 years.
Various aspects of referent selection--with a specific comparison of hospital and population referents--were also examined as a methodological issue of case-referent studies.
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Nilsson, Helena. "Occupational exposure to fluorinated ski wax." Doctoral thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-24289.

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Per- and polyfluorinated substances (PFAS) are used in the production of ski wax to reduce the friction between the snow and the ski. In this occupational study of ski wax technicians’ exposure to PFAS and particulate aerosol we have collected whole blood (wb) (n =94), air (n =84) and aerosol (n =159) samples at World Cup events from 2007-2011. We have analysed the blood, air and aerosol with respect to 13 perfluorocarboxylic acids (PFCAs), 4 perfluorosulfonic acids (PFSAs), 3 fluorotelomer alcohols (FTOHs), 3 fluorotelomer acids (FTCAs) and 3 unsaturated fluorotelomer acids (FTUCAs). Further, we assessed the exposure to 3 particulate aerosol fractions (inhalable, respirable and total aerosol) in air. In comparison to a general population, several of the PFCA blood levels are elevated in the technicians’, primarily  erfluorooctanoate (PFOA) and perfluorononate (PFNA) with concentrations up to 628 and 163 ng/mL wb, respectively. Further,  we detected FTUCAs and FTCAs in the blood, suggesting biotransformation of FTOHs to PFCAs. The metabolites 5:3 and 7:3 FTCA were detected in all blood samples at levels up to 6.1 and 3.9 ng/mL wb. Levels of perfluorohexadecanoic acid PFHxDA) and perfluorooctadecanoic acid (PFOcDA) were detected in the technician’s blood at mean concentration up to 4.22 ng/mL wb and 4.25 ng/mL wb. The FTOH levels in air of the wax cabin during work ranged up to 997 000 ng/m3 (average=114 000 ng/m3 ) and PFOA up to 4 890 ng/m3 (average= 526 ng/m3 . FTOHs were not detected in aerosols but PFOA showed average levels of 12 000 ng/m3 (range=1 230- 46 900 ng/m3 ). The occupational exposure limit (OEL) of 2 mg/m3 was exceeded in 37% of the personal measurements with aerosol  concentrations up to 15 mg/m3 . Keywords : Perfluorinated, polyfluorinated, FIS, occupational exposure, ski wax,  iotransformation, metabolism, fluorotelomer alcohol, fluorotelomer acid, aerosol, dust, UPLC/MS-MS, GC/MS-MS
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Woltman, Adrianna J. "Assessing the Occupational Nosie Exposure of Bartenders." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5800.

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The Occupational Safety and Health Administration estimates that each year, approximately 30 million people are occupationally exposed to hazardous noise. While many are aware of the noise exposure associated with industrial occupations, there has been little research conducted on bartenders who often work in environments that have high levels of noise. The majority of current published research on occupational noise exposure of bartenders has only evaluated noise levels on one night of business. Bartenders often work multiple days per week, which vary in the amount of patrons and entertainment provided, this variation in business leads to variation in the amount of noise to which they are exposed. The purpose of this research study was to gather occupational noise exposure data for bartenders during a workweek at a Tampa Bay bar establishment that hosts live music on weekends. Personal noise dosimeters were used to collect personal noise exposure data. Area noise level data were collected using a sound level meter. While several bar establishments were approached, one bar establishment part pated as the study site and noise data were collected for seven consecutive days (Thursday-Wednesday). Personal noise exposure data were collected for an entire 8-hour work shift for the Thursday-Sunday portion of the study, and for 6 hours for the Monday-Wednesday portion of the study. Area noise data were collected for the Thursday-Saturday portion of the study. Results of this study indicate that the highest noise exposure for either bartender occurred on Saturday (Bartender 1: 93.1 dBA; Bartender 2: 83.6 dBA) when a live band was performing in the establishment. Using the OSHA Hearing Conversation and OSHA PEL measurement methods, Bartender 1 was exposed to excessive noise levels (>85 dBA) on four (4) nights of the study, while Bartender 2 had no exposures over 85 dBA. However, using the ACGIH measurement method, Bartender 1 was exposed to excessive noise levels six (6) nights of the study, while Bartender 2 was exposed to excessive noise levels two (2) nights of the study.
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Cherry, Nicola. "Organic brain damage and occupational solvent exposure." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=60012.

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309 cases of organic dementia, cerebral atrophy or psycho-organic syndrome, admitted for 5 days or more to one of 18 Quebec hospitals, were individually matched to a psychiatric referent, admitted with some other diagnosis, and a general hospital referent. Lifetime occupational history was obtained by telephone. Occupational solvent exposure was assessed by (i) individual ratings blind to case status and (ii) a job-exposure matrix. Subjects working with moderate or high solvent concentrations for at least 10 years were considered exposed. With the psychiatric referent series an odds ratio of 1.44 (90% CI 1.03-2.01) was calculated for individual exposure ratings and 1.41 (90% CI 0.89-2.23) for the job matrix. The increased risk was found largely in those with diagnoses of both organic dementia or cerebral atrophy and an alcohol related condition. A similar pattern of risk was found with the general hospital referents. Adjustment for possible confounders did not appreciably alter the risk estimates.
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Woltman, Adrianna J. "Assessing the Occupational Noise Exposure of Bartenders." Thesis, University of South Florida, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1595819.

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The Occupational Safety and Health Administration estimates that each year, approximately 30 million people are occupationally exposed to hazardous noise. While many are aware of the noise exposure associated with industrial occupations, there has been little research conducted on bartenders who often work in environments that have high levels of noise. The majority of current published research on occupational noise exposure of bartenders has only evaluated noise levels on one night of business. Bartenders often work multiple days per week, which vary in the amount of patrons and entertainment provided, this variation in business leads to variation in the amount of noise to which they are exposed.

The purpose of this research study was to gather occupational noise exposure data for bartenders during a workweek at a Tampa Bay bar establishment that hosts live music on weekends. Personal noise dosimeters were used to collect personal noise exposure data. Area noise level data were collected using a sound level meter. While several bar establishments were approached, one bar establishment part pated as the study site and noise data were collected for seven consecutive days (Thursday-Wednesday). Personal noise exposure data were collected for an entire 8-hour work shift for the Thursday-Sunday portion of the study, and for 6 hours for the Monday-Wednesday portion of the study. Area noise data were collected for the Thursday-Saturday portion of the study.

Results of this study indicate that the highest noise exposure for either bartender occurred on Saturday (Bartender 1: 93.1 dBA; Bartender 2: 83.6 dBA) when a live band was performing in the establishment. Using the OSHA Hearing Conversation and OSHA PEL measurement methods, Bartender 1 was exposed to excessive noise levels (>85 dBA) on four (4) nights of the study, while Bartender 2 had no exposures over 85 dBA. However, using the ACGIH measurement method, Bartender 1 was exposed to excessive noise levels six (6) nights of the study, while Bartender 2 was exposed to excessive noise levels two (2) nights of the study.

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Yeganeh, Talab Behnoush. "Airborne Nanoparticles: Generation, Characterization, and Occupational Exposure." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/41734.

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Despite the rapid growth in nanotechnology, very little is known about the unintended health or environmental effects of manufactured nanomaterials. The development of nanotechnology risk assessments and regulations requires quantitative information on the potential for exposure to nanomaterials. In addition, to facilitate life-cycle assessments and inhalation toxicology studies, robust methods are needed to generate aerosolized engineered nanoparticles. We conducted a set of field studies to measure the fine particle mass concentrations (PM2.5) as well as nanoparticle number concentrations and size distributions in two nanomaterial manufacturing facilities. Measurements were performed near the reactor, in the breathing zone, and at a background site. Increases in PM2.5 and particle number concentrations were associated with physical handling of nanomaterials. The highest PM2.5 concentration observed was 2700 ug m-3 during sweeping of the reactor in the commercial plant. In most cases, an increase in the number of sub-100 nm particles accounted for the increase in total number concentrations. The results of this research can be used to develop guidelines for workplace regulations to minimize workers' exposure to nanoparticles. Furthermore, we used an atomizer to aerosolize C60 aggregates from a fullerene-water suspension. Measurement of particle size distributions and number concentrations showed that increasing the initial fullerene concentration resulted in increased number of aerosolized particles, while the average size of particles remained relatively constant. To return the aerosolized fullerenes into water, we passed the aerosol sample through an impinger. Reducing the flow rate through the impinger resulted in an increase in the collection efficiency of airborne nanoparticles.
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Daniels, Robert D. "Leukemia Mortality and Occupational Ionizing Radiation Exposure." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1319487627.

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Books on the topic "Occupational exposure"

1

National Institute for Occupational Safety and Health., ed. Occupational noise exposure. Cincinnati, Ohio: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 1998.

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Commission of the European Communities. Directorate-General for Employment, Industrial Relations and Social Affairs., ed. Occupational exposure limits. Luxembourg: Office for Official Publications of the European Communities, 1998.

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Cook, Warren A. Occupational exposure limits--worldwide. [Akron, Ohio?]: American Industrial Hygiene Association, 1987.

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Great Britain. Health and Safety Executive., ed. Occupational exposure limits 1988. London: H.M.S.O., 1988.

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Great Britain. Health and Safety Executive., ed. Occupational exposure limits 1987. London: H.M.S.O., 1987.

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Great Britain. Health and Safety Executive., ed. Occupational exposure limits 1985. London: HMSO, 1985.

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United States. Occupational Safety and Health Administration, ed. Occupational exposure to cadmium. [Washington, D.C.]: U.S. Dept. of Labor, Occupational Safety and Health Administration, 1992.

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executive, Health and safety. Occupational exposure limits 1990. London: HMSO, 1990.

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executive, Health and safety. Occupational exposure limits 1989. London: HMSO, 1988.

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United States. Dept. of Labor., ed. Occupational exposure to formaldehyde. [Washington, D.C.?: U.S. Dept. of Labor, 1995.

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Book chapters on the topic "Occupational exposure"

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Heederik, Dick, and Gert Doekes. "Allergen and irritant exposure and exposure-response relationships." In Occupational Asthma, 185–204. Basel: Birkhäuser Basel, 2010. http://dx.doi.org/10.1007/978-3-7643-8556-9_11.

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Knuschke, Peter. "UV Exposure." In Kanerva’s Occupational Dermatology, 1–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-40221-5_76-2.

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Knuschke, Peter. "UV Exposure." In Kanerva's Occupational Dermatology, 859–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-02035-3_76.

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Knuschke, Peter. "UV Exposure." In Kanerva’s Occupational Dermatology, 1145–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-68617-2_76.

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Wilder, David G., and Donald E. Wasserman. "OCCUPATIONAL VIBRATION EXPOSURE." In Physical and Biological Hazards of the Workplace, 53–71. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119276531.ch4.

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Attanoos, Richard L. "Malignant Mesothelioma: Asbestos Exposure." In Occupational Cancers, 363–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30766-0_20.

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Attanoos, Richard L. "Malignant Mesothelioma: Asbestos Exposure." In Occupational Cancers, 273–84. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-2825-0_15.

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Ma, Chuntao, and Maofeng Qiu. "Preventing HIV Occupational Exposure." In HIV/AIDS in China, 327–43. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8518-6_16.

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Guidotti, Tee L. "Occupational exposure to cyanide." In Toxicology of Cyanides and Cyanogens, 158–65. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118628966.ch11.

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Nasirzadeh, Nafiseh, and Soqrat Omari Shekaftik. "Occupational Exposure to Nanomaterials." In Nanomaterials in Industrial Chemistry, 179–216. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003334644-7.

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Conference papers on the topic "Occupational exposure"

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Pathak, B., and G. Rajhans. "113. Retrospective Occupational Exposure Assessment." In AIHce 2006. AIHA, 2006. http://dx.doi.org/10.3320/1.2758824.

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Plisko, M. "240. Managing Exposure Data Using an Occupational Exposure Database." In AIHce 2000. AIHA, 2000. http://dx.doi.org/10.3320/1.2763577.

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Olsson, A., and H. Kromhout. "OCCUPATIONAL CANCER BURDEN: THE CONTRIBUTION OF EXPOSURE TO PROCESS-GENERATED SUBSTANCES AT THE WORKPLACE." In The 16th «OCCUPATION and HEALTH» Russian National Congress with International Participation (OHRNC-2021). FSBSI “IRIOH”, 2021. http://dx.doi.org/10.31089/978-5-6042929-2-1-2021-1-617-620.

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Abstract. Occupational exposure to respirable crystalline silica, diesel engine exhaust emissions and welding fumes are widespread risk factors for lung cancer, and account for approximately half of the occupational lung cancer burden. If employers succeed in controlling workplace exposures to these process-generated substances, the fraction of lung cancers attributable to occupational exposures could be reduced dramatically.
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Schüz, J. "OCCUPATIONAL CANCER EPIDEMIOLOGY: OPPORTUNITIES AND CHALLENGES." In The 16th «OCCUPATION and HEALTH» Russian National Congress with International Participation (OHRNC-2021). FSBSI “IRIOH”, 2021. http://dx.doi.org/10.31089/978-5-6042929-2-1-2021-1-621-623.

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Abstract. It is estimated that exposure to carcinogens at the workplace are responsible for around 3-5% of the total cancer burden in Europe; this figure may be even somewhat higher for the Russian Federation due to its large industrial workforce. As most occupational exposures are modifiable risk factors, occupational hygiene and safety has a major role in primary cancer prevention. While both experimental and epidemiological studies contribute to the identification of carcinogens, ultimately the epidemiology is needed for determining the risk of individuals and populations under real-life exposure conditions and co-exposures. Occupational cohort studies are a very strong methodology to obtain this scientific evidence and with the conduct of a large-scale study of chrysotile workers in Asbest, Sverdlovsk Oblast, a blueprint has been developed on how to conduct further studies of that type in other industries. This will inform the elimination strategy of occupational cancer in the Russian Federation as well as our understanding of occupational cancers on global scale.
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Hosseini, Bayan, Joachim Schüz, and Ann Olsson. "AN INVENTORY OF OCCUPATIONAL CANCER STUDIES AND THEIR EXPOSURE ASSESSMENT METHODS IN IRAN." In The 16th «OCCUPATION and HEALTH» Russian National Congress with International Participation (OHRNC-2021). FSBSI “IRIOH”, 2021. http://dx.doi.org/10.31089/978-5-6042929-2-1-2021-1-612-616.

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Abstract: Introduction: The presence of occupational carcinogens in workplaces in Iran is not well characterized, and little is known about the burden of occupational cancer in Iran and other Middle East countries. Objectives: This study aimed to provide an overview of exposure assessments used in or informative for epidemiological studies on occupational cancer in Iran. Methods: Studies estimating occupational exposures applied to or informative for occupational cancer risk up to January 2021 in Iran were identified through different databases. Results: Forty-nine publications from 2009 to 2020 were included. The exposure monitoring studies were conducted mainly in gasoline refueling stations, foundries, construction industry, and manufacturing, and some of the case-control studies also reported increased risk of cancers in relation to work in those industries. Conclusion: Occupational cancer epidemiology in Iran is at an early stage. Both epidemiological and exposure monitoring studies are generally limited in size to provide robust evidence. A coherent strategy to estimate the occupational cancer burden in Iran should start with systematic monitoring of occupational carcinogens for use in hazard control and research.
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Mandryk, J., K. Alwis, and A. Hocking. "264. Occupational Exposure to Wood Dust." In AIHce 1999. AIHA, 1999. http://dx.doi.org/10.3320/1.2763110.

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Forestier, D., P. Thoumelin, B. Efremenko, and C. Arfi. "Occupational bioaerosol exposure in composting plants." In WASTE MANAGEMENT 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/wm080921.

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BEDNALL, AW. "OCCUPATIONAL EXPOSURE TO HAND-ARM VIBRATION." In Autumn Conference 1989. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/21702.

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ONDET, AM. "PREDICTION OF THE OCCUPATIONAL NOISE EXPOSURE." In Inter-Noise 1996. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/19292.

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KOLSTAD, HA, ZA STOKHOLM, CS JENSEN, TW FREDERIKSEN, and JP BONDE. "ARE OCCUPATIONAL NOISE-EXPOSURE LEVELS DECLINING?" In International Congress on Noise as a Public Health Problem (ICBEN) 2011. Institute of Acoustics, 2023. http://dx.doi.org/10.25144/16953.

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Reports on the topic "Occupational exposure"

1

Author, Not Given. DOE 2013 occupational radiation exposure. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1208916.

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Author, Not Given. DOE 2012 occupational radiation exposure. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1208917.

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Author, Not Given. DOE 2011 occupational radiation exposure. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1208918.

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none,. DOE 2010 occupational radiation exposure. Office of Scientific and Technical Information (OSTI), November 2011. http://dx.doi.org/10.2172/1208919.

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Author, Not Given. DOE 2009 occupational radiation exposure. Office of Scientific and Technical Information (OSTI), September 2010. http://dx.doi.org/10.2172/1208920.

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Author, Not Given. DOE 2008 occupational radiation exposure. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/1208922.

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Author, Not Given. DOE occupational radiation exposure 2007 report. Office of Scientific and Technical Information (OSTI), December 2007. http://dx.doi.org/10.2172/1208923.

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Author, Not Given. DOE occupational radiation exposure 2006 report. Office of Scientific and Technical Information (OSTI), December 2006. http://dx.doi.org/10.2172/1208924.

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Author, Not Given. DOE occupational radiation exposure 2005 report. Office of Scientific and Technical Information (OSTI), December 2005. http://dx.doi.org/10.2172/1208928.

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none,. DOE occupational radiation exposure 2004 report. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/1208929.

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