Combined effects of occupational exposure to hazardous operations and lifestyle-related factors on cancer incidence.

We aimed to examine whether the number of types of hazardous operations at work experienced through a lifetime is associated with cancer incidence, and additionally examined the combined effects with lifestyle-related factors. Using a nationwide, multicenter, hospital inpatient dataset (2005-2015), we conducted a matched case-control study with 1 149 296 study subjects. We classified the participants into those with none, 1, or 2 or more types of hazardous operation experience, based on information of special medical examinations taken, mandatory in Japan for workers engaged in hazardous operations. Using those with no experience as the reference group, we estimated the odds ratios for cancer incidence (all sites, lung, stomach, colon and rectum, liver, pancreas, bile duct, and bladder) by conditional logistic regression with multiple imputations. We also examined the effects of the combination with hazardous operations and lifestyle-related factors. We observed increased risks for cancer of all sites, and lung, pancreas, and bladder cancer associated with the experience of hazardous operations. Multivariable-adjusted ORs (95% CIs) of cancer incidence of all sites were 1 (reference), 1.16 (1.12, 1.21), and 1.17 (1.08, 1.27) for none, 1, and 2 or more types of hazardous operation experience, respectively (P for trend <.001). Potential combined associations of hazardous operations with smoking were observed for lung, pancreas, and bladder cancer, and with diabetes for pancreas cancer. Engaging in hazardous operations at work and in combination with lifestyle-related factors may increase the risk of cancer. We highlight the potential for those engaged in hazardous work to avoid preventable cancers.

Topographical classification of dose distributions: implications for control for worker exposure.

This paper deals with classification of dose distributions of nuclear workers based on antikurtosis (Q) and entropy coefficients (K) and their relationship presented in QK-diagrams. It is shown that determination of the most appropriate distribution to adopt, for a specific data set of a wide range of input data, requires building and analysing QK-diagrams for distributions of logarithms of individual doses. Actual dose distributions for emergency and occupational exposure situations were then considered, as well as doses for one day of work during clean-up and routine activities. It is shown that, in all cases, three types of distributions of logarithms of individual doses were present: normal, Weibull and Chapeau. The location of the representation point of a dose distribution reflects the degree of dose control of the group of workers whose individual doses are collectively displayed in the QK-diagram. The more the representation point of the analysed distribution of the logarithms of the individual dose of a given contingent of workers deviates from the point of the lognormal distribution, the more there was intervention in the process of individual dose accumulation. Thus, QK-diagrams could be used to develop a dose control function. It is shown that the hybrid lognormal distribution, which is widely used in the field of radiation safety, for the purpose of approximation of real dose distributions, is unable to satisfactorily describe many dose distributions arising in aftermath operations and occupational exposure.

Efficiency of autocoding programs for converting job descriptors into standard occupational classification (SOC) codes.

BACKGROUND: Existing datasets often lack job exposure data. Standard Occupational Classification (SOC) codes can link work exposure data to health outcomes via a Job Exposure Matrix, but manually assigning SOC codes is laborious. We explored the utility of two SOC autocoding programs. METHODS: We entered industry and occupation descriptions from two existing cohorts into two publicly available SOC autocoding programs. SOC codes were also assigned manually by experienced coders. These SOC codes were then linked to exposures from the Occupational Information Network (O*NET). RESULTS: Agreement between the SOC codes produced by autocoding programs and those produced manually was modest at the 6-digit level, and strong at the 2-digit level. Importantly, O*NET exposure values based on SOC code assignment showed strong agreement between manual and autocoded methods. CONCLUSION: Both available autocoding programs can be useful tools for assigning SOC codes, allowing linkage of occupational exposures to data containing free-text occupation descriptors.

Does residential mobility during pregnancy induce exposure misclassification for air pollution?

BACKGROUND: Prenatal exposure to outdoor air pollution has been shown to have health effects in many studies; low birth weight, preterm delivery, small for gestational age, and stillbirth are the most often cited. However, exposure of pregnant women is difficult to quantify, especially with regard to their mobility, which is rarely taken into account in epidemiological studies. This study aimed to assess the impact of mobility of pregnant women living in Paris, France, on their exposure estimates to nitrogen dioxide (NO2). METHODS: A total of 486 pregnant women were recruited in 5 maternity hospitals in Paris between January and April 2016. A questionnaire was used to collect mothers' characteristics (demography, education, etc.) and to assess their daily mobility during pregnancy (time spent at work, commuting time and mode used to move from residential to occupational places). Daily NO2 concentrations were estimated based on the combination of annual average concentrations modeled at the census block scale and daily concentrations measured from fixed monitoring stations. Different models were used to compare the exposure of pregnant women in residential and occupational places, also taking into account travel time and travel mode. The socioeconomic profile of the census blocks was characterized using a multi-component index. RESULTS: During the first trimester of pregnancy, women living in the least deprived census blocks were exposed to higher concentrations of NO2 than those living in the most deprived ones. Occupational mobility had a small impact on exposure levels (average increase after taking account of mobility: + 0.52 µg/m3) which was not related to the socioeconomic profile of the women. The commuting mode made a greater difference (+ 1.46 µg/m3 on average), in particular among women living in the most deprived census blocks. CONCLUSIONS: Our study illustrates that air pollution exposure can be underestimated when ignoring occupational mobility and commuting mode of pregnant women. This effect might be differential according to the neighborhood deprivation profile.

Study of the validity of a job-exposure matrix for the job strain model factors: an update and a study of changes over time.

OBJECTIVES: The objectives of the study were to construct a job-exposure matrix (JEM) for psychosocial work factors of the job strain model, to evaluate its validity, and to compare the results over time. METHODS: The study was based on national representative data of the French working population with samples of 46,962 employees (2010 SUMER survey) and 24,486 employees (2003 SUMER survey). Psychosocial work factors included the job strain model factors (Job Content Questionnaire): psychological demands, decision latitude, social support, job strain and iso-strain. Job title was defined by three variables: occupation and economic activity coded using standard classifications, and company size. A JEM was constructed using a segmentation method (Classification and Regression Tree-CART) and cross-validation. RESULTS: The best quality JEM was found using occupation and company size for social support. For decision latitude and psychological demands, there was not much difference using occupation and company size with or without economic activity. The validity of the JEM estimates was higher for decision latitude, job strain and iso-strain, and lower for social support and psychological demands. Differential changes over time were observed for psychosocial work factors according to occupation, economic activity and company size. CONCLUSIONS: This study demonstrated that company size in addition to occupation may improve the validity of JEMs for psychosocial work factors. These matrices may be time-dependent and may need to be updated over time. More research is needed to assess the validity of JEMs given that these matrices may be able to provide exposure assessments to study a range of health outcomes.

Grouping schemes of welding fume exposure in shipyard welders.

Welding fume exposure can increase the risk of chronic obstructive pulmonary disease (COPD). The aim of this study was to evaluate the optimal grouping schemes of welding fume exposure in shipyard welders for future accurate examination of the association between welding fume exposure and COPD. Industrial hygiene records, including welding fume measurements between 2002 and 2009 were collected from a shipyard. A total of 2,360 personal welding fume measurements was compiled with a geometric mean of 1.66 mg/m3 and a geometric standard deviation of 4.02. Welding jobs were categorized into 8 groups. There were 9 working areas. To obtain the optimal grouping scheme, various grouping schemes were created using job, area, and job*area combination. To compare various grouping schemes, contrast and precision were calculated for each grouping scheme. For all measurement data, group mean ranking method created by ranking geometric means of the job*area combination into 3 groups (group mean ranking method) showed the best contrast and precision values among various grouping schemes, followed by grouping based on the job. For a subset of the data excluding job*area combinations with less than 10 measurements, grouping based on the job showed greater contrast than group mean ranking method, while for other subsets, including only repeated measurement data or further excluding job*area combinations with less than 10 measurements from the repeated measurement subset, group mean ranking method showed greater contrast than grouping based on the job. Our results showed that group mean ranking or grouping based on the job could be a candidate for the optimal grouping schemes in this shipyard. Our efforts for optimal grouping scheme may aid future cohort study to elucidate the association between welding fume exposure and COPD.

Risk assessments using the Strain Index and the TLV for HAL, Part I: Task and multi-task job exposure classifications.

BACKGROUND: The Strain Index (SI) and the American Conference of Governmental Industrial Hygienists (ACGIH) Threshold Limit Value for Hand Activity Level (TLV for HAL) use different constituent variables to quantify task physical exposures. Similarly, time-weighted-average (TWA), Peak, and Typical exposure techniques to quantify physical exposure from multi-task jobs make different assumptions about each task's contribution to the whole job exposure. Thus, task and job physical exposure classifications differ depending upon which model and technique are used for quantification. This study examines exposure classification agreement, disagreement, correlation, and magnitude of classification differences between these models and techniques. METHODS: Data from 710 multi-task job workers performing 3,647 tasks were analyzed using the SI and TLV for HAL models, as well as with the TWA, Typical and Peak job exposure techniques. Physical exposures were classified as low, medium, and high using each model's recommended, or a priori limits. Exposure classification agreement and disagreement between models (SI, TLV for HAL) and between job exposure techniques (TWA, Typical, Peak) were described and analyzed. RESULTS: Regardless of technique, the SI classified more tasks as high exposure than the TLV for HAL, and the TLV for HAL classified more tasks as low exposure. The models agreed on 48.5% of task classifications (kappa = 0.28) with 15.5% of disagreement between low and high exposure categories. Between-technique (i.e., TWA, Typical, Peak) agreement ranged from 61-93% (kappa: 0.16-0.92) depending on whether the SI or TLV for HAL was used. CONCLUSIONS: There was disagreement between the SI and TLV for HAL and between the TWA, Typical and Peak techniques. Disagreement creates uncertainty for job design, job analysis, risk assessments, and developing interventions. Task exposure classifications from the SI and TLV for HAL might complement each other. However, TWA, Typical, and Peak job exposure techniques all have limitations. Part II of this article examines whether the observed differences between these models and techniques produce different exposure-response relationships for predicting prevalence of carpal tunnel syndrome.

Evaluating influence of occupational hazards on cerebrovascular stroke.

The study included 335 males who were exposed to occupational hazards over 5 years to the moment of cerebrovascular stroke. The authors analysed structure of clinical forms of cerebrovascular stroke, found a concept of various age groups distribution in dependence on occupational factor type, established a frequency of cardiovascular risk factors distribution among males in dependence on occupational hazards, revealed foiecasting value of intensity ranks in cerebrovascular stroke patients at the disease presentation.

Acquired Color Vision Defects and Hexane Exposure: A Study of San Francisco Bay Area Automotive Mechanics.

Occupational exposure to solvents, including n-hexane, has been associated with acquired color vision defects. Blue-yellow defects are most common and may be due to neurotoxicity or retinal damage. Acetone may potentiate the neurotoxicity of n-hexane. We present results on nonhexane solvent and hexane exposure and color vision from a cross-sectional study of 835 automotive repair workers in the San Francisco Bay Area, California (2007-2013). Cumulative exposure was estimated from self-reported work history, and color vision was assessed using the Lanthony desaturated D-15 panel test. Log-binomial regression was used to estimate prevalence ratios for color vision defects. Acquired color vision defects were present in 29% of participants, of which 70% were blue-yellow. Elevated prevalence ratios were found for nonhexane solvent exposure, with a maximum of 1.31 (95% confidence interval (CI): 0.86, 2.00) for blue-yellow. Among participants aged ≤50 years, the prevalence ratio for blue-yellow defects was 2.17 (95% CI: 1.03, 4.56) in the highest quartile of nonhexane solvent exposure and 1.62 (95% CI: 0.97, 2.72) in the highest category of exposure to hexane with acetone coexposure. Cumulative exposures to hexane and nonhexane solvents in the highest exposure categories were associated with elevated prevalence ratios for color vision defects in younger participants.

Development of an occupational airborne chemical exposure matrix.

BACKGROUND: Population-based studies of the occupational contribution to chronic obstructive pulmonary disease generally rely on self-reported exposures to vapours, gases, dusts and fumes (VGDF), which are susceptible to misclassification. AIMS: To develop an airborne chemical job exposure matrix (ACE JEM) for use with the UK Standard Occupational Classification (SOC 2000) system. METHODS: We developed the ACE JEM in stages: (i) agreement of definitions, (ii) a binary assignation of exposed/not exposed to VGDF, fibres or mists (VGDFFiM), for each of the individual 353 SOC codes and (iii) assignation of levels of exposure (L; low, medium and high) and (iv) the proportion of workers (P) likely to be exposed in each code. We then expanded the estimated exposures to include biological dusts, mineral dusts, metals, diesel fumes and asthmagens. RESULTS: We assigned 186 (53%) of all SOC codes as exposed to at least one category of VGDFFiM, with 23% assigned as having medium or high exposure. We assigned over 68% of all codes as not being exposed to fibres, gases or mists. The most common exposure was to dusts (22% of codes with >50% exposed); 12% of codes were assigned exposure to fibres. We assigned higher percentages of the codes as exposed to diesel fumes (14%) compared with metals (8%). CONCLUSIONS: We developed an expert-derived JEM, using a strict set of a priori defined rules. The ACE JEM could also be applied to studies to assess risks of diseases where the main route of occupational exposure is via inhalation.

Cross-classified occupational exposure data.

We demonstrate the regression analysis of exposure determinants using cross-classified random effects in the context of lead exposures resulting from blasting surfaces in advance of painting. We had three specific objectives for analysis of the lead data, and observed: (1) high within-worker variability in personal lead exposures, explaining 79% of variability; (2) that the lead concentration outside of half-mask respirators was 2.4-fold higher than inside supplied-air blasting helmets, suggesting that the exposure reduction by blasting helmets may be lower than expected by the Assigned Protection Factor; and (3) that lead concentrations at fixed area locations in containment were not associated with personal lead exposures. In addition, we found that, on average, lead exposures among workers performing blasting and other activities was 40% lower than among workers performing only blasting. In the process of obtaining these analyses objectives, we determined that the data were non-hierarchical: repeated exposure measurements were collected for a worker while the worker was a member of several groups, or cross-classified among groups. Since the worker is a member of multiple groups, the exposure data do not adhere to the traditionally assumed hierarchical structure. Forcing a hierarchical structure on these data led to similar within-group and between-group variability, but decreased precision in the estimate of effect of work activity on lead exposure. We hope hygienists and exposure assessors will consider non-hierarchical models in the design and analysis of exposure assessments.

[The dynamics of the occupational morbidity rate in the Eastern Siberia].

The dynamics and structure of the occupational morbidity rate in main branches of the industry in the Eastern Siberia for the 2000-2015 (on the example of the Irkutsk region) is presented in this paper. During the observation period there were noted the significant gain in the number of cases of occupational diseases registered in such different branches of industry as Coal and Lignite Mining, ship and aircraft building, and in some other branches (metallurgical production, air transport, pulp production, electric power distribution industry). In the structure of the occupational morbidity leading positions are occupied by diseases associated with the exposure to physical factors, industrial aerosols, physical overload and overexertion of certain organs and systems. The main reasons and factors contributing to the gain of the occupational morbidity rate are the imperfection of technological processes, working places, personal protective equipment and/or their lack, constructive defects of machines and equipment, the violation of safety regulations, regimen of the work and rest, insufficiently high level of medical and preventive maintenance, delayed making of decisions for the rational employment to the workers with the revealed early forms of occupational diseases. There pointed out priority directions of the prevention the implementation of which will allow to decline the level of the occupational morbidity rate. The main directions are the implementation of economically caused mechanisms of the interest in the preservation of workers ' health; implementation of the regional aimed programs; the introduction of new processes, equipment and mechanisms meeting modern hygienic requirements; the assessment of occupational risk with the creation and implementation of the system of monitoring for the dynamics of working conditions and the state of the workers ' health for the making corrective management solutions on the optimization and elevation of the efficacy and relevance of developed and implemented preventive health measures.

Comparison of Grouping Schemes for Exposure to Total Dust in Cement Factories in Korea.

OBJECTIVE: The purpose of this study was to evaluate grouping schemes for exposure to total dust in cement industry workers using non-repeated measurement data. METHODS: In total, 2370 total dust measurements taken from nine Portland cement factories in 1995-2009 were analyzed. Various grouping schemes were generated based on work process, job, factory, or average exposure. To characterize variance components of each grouping scheme, we developed mixed-effects models with a B-spline time trend incorporated as fixed effects and a grouping variable incorporated as a random effect. Using the estimated variance components, elasticity was calculated. To compare the prediction performances of different grouping schemes, 10-fold cross-validation tests were conducted, and root mean squared errors and pooled correlation coefficients were calculated for each grouping scheme. RESULTS: The five exposure groups created a posteriori by ranking job and factory combinations according to average dust exposure showed the best prediction performance and highest elasticity among various grouping schemes. CONCLUSION: Our findings suggest a grouping method based on ranking of job, and factory combinations would be the optimal choice in this population. Our grouping method may aid exposure assessment efforts in similar occupational settings, minimizing the misclassification of exposures.

Occupational exposures and longitudinal lung function decline.

BACKGROUND: Few longitudinal studies have been conducted on occupational exposure and lung function. This study investigated occupational dust exposure effects on lung function and whether genetic variants influence such effects. METHODS: The study population (1,332 participants) was from the Framingham Heart Study, in which participant lung function measures were available from up to five examinations over nearly 17 years. Occupational dust exposures were classified into "more" and "less" likely dust exposure. We used linear mixed effects models for the analysis. RESULTS: Participants with more likely dust exposure had a mean 4.5 mL/year excess loss rate of FEV1 over time. However, occupational dust exposures alone or interactions with age or time had no significant effect on FEV1 /FVC. No statistically significant effects of genetic modifications in the different subgroups were identified for FEV1 loss. CONCLUSIONS: Occupational dust exposures may accelerate the rate of FEV1 loss but not FEV1 /FVC loss.

A comparison of exposure assessment approaches: lung cancer and occupational asbestos exposure in a population-based case-control study.

OBJECTIVES: In attempts to overcome the limitations of self-reported data in occupational health research, job-exposure matrices, which assign exposure by occupation, have emerged as an objective approach for assessing occupational exposures. On the basis of a lung cancer case-control study conducted in the Greater Toronto Area, 1997-2002, assessment of occupational exposure to asbestos was compared using self-reports and a general population job-exposure matrix (DOM-JEM). METHODS: Cases and frequency matched controls provided life-time job histories and self-reported exposures to potential lung carcinogens including asbestos through a detailed questionnaire. Exposure to asbestos was also assigned to each job by linking occupational histories with DOM-JEM. Agreement in classification of exposed and unexposed jobs according to self-reports and DOM-JEM was evaluated using Cohen's κ. Risks for lung cancer were estimated using unconditional logistic regression for each exposure assessment approach. RESULTS: The prevalence of occupational asbestos exposure was greater when based on DOM-JEM than when based on self-reports. Agreement in classifying exposure to jobs between the two assessment approaches was poor. The risk of lung cancer was not elevated among workers who self-reported asbestos exposure, whereas workers considered exposed on the basis of DOM-JEM were almost twice as likely as unexposed workers to be diagnosed with lung cancer (OR 1.9, 95% CI 1.3 to 2.7). CONCLUSIONS: It is generally assumed by epidemiologists that self-reported exposure assessments result in inflated risk estimates. In this study, self-reports found no association with a well-established risk factor, whereas a high-quality job-exposure matrix revealed relative risk estimates that are more consistent with previous findings.

Development and validation of a physical and psychosocial job-exposure matrix in older and retired workers.

OBJECTIVES: A general population job-exposure matrix (GPJEM) including physical and psychosocial demands as well as psychosocial resources applicable to older and retired workers was developed. Its validity was evaluated by examining associations of physical demands and iso-strain (combination of high psychosocial demands and low resources) with health. METHODS: Physical and psychosocial work exposures reported by 55-64 year olds were derived from the Netherlands Working Conditions Survey and linked to the Netherlands Standard Classification of Occupations 1992. A GPJEM with low, moderate, and high probability of exposure to demands and resources was developed. To examine associations with health, two groups of the Longitudinal Aging Study Amsterdam were selected: current (i.e. at the time of the interview, 55-64 years) and former workers (55-84 years). Linear and logistic regression models were applied. RESULTS: Use of force and work in uncomfortable positions were significantly associated with functional limitations and self-perceived health (SPH), but not hip or knee osteoarthritis (OA), in current and former workers. A moderate probability of repetitive movements was associated with functional limitations in former workers. A high probability of repetitive movements was associated with functional limitations in current and former workers as well as with SPH and hip and knee OA in former workers. Respondents formerly exposed to iso-strain had significantly higher diastolic blood pressure and more often hypertension. No such associations were found in current workers. No association was found with cardiovascular disease. CONCLUSIONS: The results suggest that our GPJEM accurately classifies jobs according to physical demands and, although less clearly, iso-strain.

[Exposure to occupational biological risks: experience of a toxicology information center]. / Exposición a agentes de riesgo biológico en trabajadores chilenos: Reporte del Centro de Información Toxicológica de la Pontificia Universidad Católica de Chile (CITUC).

BACKGROUND: Exposure to Biological Agents during work is an emergent type of occupational risk. AIM: To characterize occupational biological risk exposure among Chilean workers which have been registered by the Toxicology Information Center, between January 2006 and December 2009. MATERIAL AND METHODS: All incoming calls reporting exposure to biological agents during the studied period were analyzed. The information obtained from the caller was registered using the Communication Record Instrument of the WHO International Programme on Chemical Safety (IPCS INTOX). RESULTS: In the studied period, 77 calls were received. The mean age of exposed patients was 35 ± 15 years and 57% of them were females. The most common involved agents were vaccines for veterinary use (42%) followed by Loxosceles laeta bites in 16%. The main routes of exposure were injections, cuts and needle stick injuries in 39% and stings and bites in 38%. The highest exposure rates were observed in Southern Chile due to self-inoculation of veterinary vaccines used in the salmon industry (22.7/100.000 actual workers). Fifty-eight percent of calls were from health care workers, and 51% of them were from health care facilities. Sixty percent of exposures occurred during summer and spring. There was a fourfold higher risk of calls involving women exposed to bites or stings (odds ratio (OR) 4.5 (CI95 1.5-13.9, p < 0.01). Men had a fourfold higher risk of being exposed to vaccines or medications for veterinary use (OR 4.2, CI95 1.4-12.6 p < 0.01). CONCLUSIONS: Most calls involving an exposure to a biological agent were caused by self-inoculation of veterinary medications.

Exposure classification of MRI workers in epidemiological studies.

We estimate that there are about 100,000 workers from different disciplines, such as radiographers, nurses, anesthetists, technicians, engineers, etc., who can be exposed to substantial electromagnetic fields (compared to normal background levels) around magnetic resonance imaging (MRI) scanners. There is a need for well-designed epidemiological studies of MRI workers but since the exposure from MRI equipment is a very complex mixture of static magnetic fields, switched gradient magnetic fields, and radiofrequency electromagnetic fields (RF EMF), it is necessary to discuss how to assess the exposure in epidemiological studies. As an alternative to the use of job title as a proxy of exposure, we propose an exposure categorization for the different professions working with MRI equipment. Specifically, we propose defining exposure in three categories, depending on whether people are exposed to only the static field, to the static plus switched gradient fields or to the static plus switched gradient plus RF fields, as a basis for exposure assessment in epidemiological studies.

[MATline, a job-exposure matrix for the prevision of exposure to carcinogens: new functions and potential applications]. / MATline, una matrice lavorazione-esposizione per la previsione delle esposizioni a cancerogeni in Italia: nuove funzioni e potenziali utilizzi.

MATline, the job-exposure matrix for carcinogenic agents, is a data bank free accessible online. It provides data as classification and toxicological properties of carcinogenic agents, and a list of industrial processes with potential exposure to each carcinogen agent, and an up-to-date estimation of the number of activities and workers related to the industrial process on Regional basis. It also lists the target organs for which a causal relationship with the agent has been established. MATline was recently updated with the new classifications introduced by Regulation EC No. 1272/2008 (CLP). The Authorisation List or the Restriction of the Registration, Evaluation, Authorization of Chemicals (REACh) regulation specifically mark chemicals. The matrix is helpful for professionals in the public health sector to identify in advance the potential sources of exposure, and prioritise intervention plans; for occupational physicians to help identifying causes of occupational cancer cases; for health professionals in the private sector to address chemical risks; for company physicians to validate health surveillance plans; for trade unions to independently check formation contents provided to workers potentially exposed to such risks.

[Assessement of combined impact of hazards on petrochemical and chemical workers' health].

We have conducted a study on working conditions and health status of petrochemical workers. The main hazardous factor of work environment and manufacture process has been found to be work environment air pollution caused by Class 2-3 hazards. Depending on the composition of the current complex of hazards, the manufacture workers comprise three groups determined by the impact of aromatic hydrocarbons, olefin oxides and their combinations. It has been shown that the combined impact of aromatic hydrocarbons and olefin oxides combination may produce a more pronounced hazardous impact on workers' health compared with the impact of aromatic hydrocarbons or olefin oxides taken separately. This may be due to the summing up of biological effects.