Quantitative Exposure Assessment Research Articles

Occupational noise exposure assessment using O*NET and its application to a study of hearing loss in the US general population

ObjectivesAlthough occupational noise is a well known risk factor for hearing loss, little epidemiological evidence has been reported on its association with hearing loss in the general population, in part,...

Noise exposure and serious injury to active sawmill workers in British Columbia

BackgroundOccupational noise might increase the risk of workplace injury through a variety of mechanisms, including interference with communication and increased stress.ObjectivesThe purpose of this study was to assess the effect...

Workplace and individual risk factors for carpal tunnel syndrome

ObjectivesTo quantify the relationship between workplace physical factors, particularly hand activity level (HAL) and forceful exertion and carpal tunnel syndrome (CTS), while taking into account individual factors. To compare quantitative...

Quantitative dietary exposure assessment of the Catalonian population (Spain) to the mycotoxin deoxynivalenol

The mycotoxin deoxynivalenol (DON) is one of the most common contaminants of cereals worldwide, and its occurrence has been widely reported in raw foods and foodstuffs, around the European region, including Catalonia. In the present work, a stochastic methodology has been applied to accurately assess the exposure of the Catalonian population (Spain) to DON through food consumption. Raw contamination data was provided by a large survey conducted in this region, in addition to the raw consumption data from a nutritional study specifically designed to assess the dietary intake of the main foodstuffs related to DON contamination for all population age groups. Contamination and consumption data were combined by simulation using an essentially parametric (P-P) method. The P-P method draws sampling values from distribution functions fitted to consumption and contamination data sets. Moreover, to quantify the accuracy and reliability of the statistics estimates, we built the related confidence intervals using a pseudo-parametric bootstrap method. Considering the results drawn from the P-P simulation method, the Catalonian population should be expected to be exposed at moderated levels of deoxynivalenol, the infants and individuals with ethnic dietary patterns being the most exposed population groups

An occupational chemical priority list for future life cycle assessments

A chemical priority list is presented to screen and identify relevant chemicals, for which more detailed and industrial-sector specific quantitative exposure, risk and life-cycle assessments should be completed. A list of 38 solvents were ranked according to the framework of the LCA toxicity model, USEtox, and according to the framework proposed by the UNEP/SETAC working group on Indoor Exposure Assessment in LCA. An additional method, based on a risk assessment (RA) framework, was used to examine the robustness of the priority rank. Under both schemes dichloromethane, ethanol, formaldehyde, hexane and toluene all rank in the top ten positions. These chemicals are currently relevant with regard to health effects on a population level. Some of these chemicals are known as hazardous, while others, such as ethanol, have a low toxicity but were prioritized because of their extensive use and high exposure levels. This study attempts to combine the knowledge and methods of the LCA and occupational hygiene communities in assessing health impacts. It provides a consistent and transparent method for rapid comparative assessments of different chemicals and identifies the chemicals and workplaces that will require more thorough investigations.

Characterization of N‐terminal formaldehyde adducts to hemoglobin

A procedure to prepare and purify adducts of formaldehyde (FA) to the N-terminus of peptides was developed. FA-VHLTPEEK and FA-VLSPADK were produced with purities >95% upon incubation of the peptides with FA in phosphate-buffered saline (PBS) at a pH level of 7.4. The peptides were purified by preparative liquid chromatography and were characterized by their retention times in liquid chromatography, their fragmentation patterns obtained by tandem mass spectrometry, and their accurate mass and nuclear magnetic resonance measurements. This is the first time an imidazolidone-type structure has been reported for FA adducts. The same peptides were identified in tryptic digests of human hemoglobin incubated with FA at physiological conditions and in human hemoglobin specimens. These peptides are suitable for use as calibrators for the quantitative assessment of internal exposure to FA.

Assessment of levels of bacterial contamination of large wild game meat in Europe

The variations in prevalence and levels of pathogens and fecal contamination indicators in large wild game meat were studied to assess their potential impact on consumers. This analysis was based on hazard analysis, data generation and statistical analysis. A total of 2919 meat samples from three species (red deer, roe deer, wild boar) were collected at French game meat traders’ facilities using two sampling protocols. Information was gathered on the types of meat cuts (forequarter or haunch; first sampling protocol) or type of retail-ready meat (stewing meat or roasting meat; second protocol), and also on the meat storage conditions (frozen or chilled), country of origin (eight countries) and shooting season (autumn, winter, spring). The samples were analyzed in both protocols for detection and enumeration of Escherichia coli, coagulase + staphylococci and Clostridium perfringens. In addition, detection and enumeration of thermotolerant coliforms and Listeria monocytogenes were performed for samples collected in the first and second protocols, respectively. The levels of bacterial contamination of the raw meat were determined by performing statistical analysis involving probabilistic techniques and Bayesian inference. C. perfringens was found in the highest numbers for the three indicators of microbial quality, hygiene and good handling, and L. monocytogenes in the lowest. Differences in contamination levels between game species and between meats distributed as chilled or frozen products were not significant. These results might be included in quantitative exposure assessments.

Gene Expression Analysis in Radiotherapy Patients and C57BL/6 Mice as a Measure of Exposure to Ionizing Radiation

Dose assessment after radiological disasters is imperative to decrease mortality through rationally directed medical intervention. Our goal was to identify biomarkers capable of qualitative (nonirradiated/irradiated) and/or quantitative (dose) assessment of radiation exposure. Using real-time quantitative PCR, biodosimetry genes were identified in blood samples from cancer patients undergoing total-body irradiation. Time- (5, 12, 23, 48 h) and dose- (0-8 Gy) dependent changes in gene expression were examined in C57BL/6 mice. A training set was used to derive weighted voting classification algorithms (nonirradiated/irradiated) and continuous regression (dose assessment) models that were tested in a separate validation set of mice. Of eight biodosimetry genes identified in cancer patients ( ACTA2 , BBC3 , CCNG1 , CDKN1A , GADD45A , MDK , SERPINE1 , Tnfrsf10b ), expression of BBC3 , CCNG1 , CDKN1A , SERPINE1 and Tnfrsf10b was significantly (P < 0.05) increased in irradiated mice. CCNG1 and CDKN1A expression segregated irradiated mice from controls with an accuracy, specificity and sensitivity of 96.3, 100.0 and 94.4%, respectively, at 48 h. Multiple linear regression analysis predicted doses for the 0-, 1-, 2-, 4-, 6- and 8-Gy treatment groups as 0.0 ± 0.2, 1.6 ± 1.0, 2.9 ± 1.4, 5.1 ± 2.0, 5.3 ± 0.7 and 10.5 ± 5.6 Gy, respectively. These results suggest that gene expression analysis could be incorporated into biodosimetry protocols for qualitative and quantitative assessment of radiation exposure.

Quantitative Exposure Assessment of Various Chemical Substances in a Wafer Fabrication Industry Facility

ObjectivesThis study was designed to evaluate exposure levels of various chemicals used in wafer fabrication product lines in the semiconductor industry where work-related leukemia has occurred.MethodsThe research focused on 9 representative wafer fabrication bays among a total of 25 bays in a semiconductor product line. We monitored the chemical substances categorized as human carcinogens with respect to leukemia as well as harmful chemicals used in the bays and substances with hematologic and reproductive toxicities to evaluate the overall health effect for semiconductor industry workers. With respect to monitoring, active and passive sampling techniques were introduced. Eight-hour long-term and 15-minute short-term sampling was conducted for the area as well as on personal samples.ResultsThe results of the measurements for each substance showed that benzene, toluene, xylene, n-butyl acetate, 2-methoxyethanol, 2-heptanone, ethylene glycol, sulfuric acid, and phosphoric acid were non-detectable (ND) in all samples. Arsine was either "ND" or it existed only in trace form in the bay air. The maximum exposure concentration of fluorides was approximately 0.17% of the Korea occupational exposure limits, with hydrofluoric acid at about 0.2%, hydrochloric acid 0.06%, nitric acid 0.05%, isopropyl alcohol 0.4%, and phosphine at about 2%. The maximum exposure concentration of propylene glycol monomethyl ether acetate (PGMEA) was 0.0870 ppm, representing only 0.1% or less than the American Industrial Hygiene Association recommended standard (100 ppm).ConclusionBenzene, a known human carcinogen for leukemia, and arsine, a hematologic toxin, were not detected in wafer fabrication sites in this study. Among reproductive toxic substances, n-butyl acetate was not detected, but fluorides and PGMEA existed in small amounts in the air. This investigation was focused on the air-borne chemical concentrations only in regular working conditions. Unconditional exposures during spills and/or maintenance tasks and by-product chemicals were not included. Supplementary studies might be required.

Assessing the probability of acquisition of meticillin-resistant Staphylococcus aureus (MRSA) in a dog using a nested stochastic simulation model and logistic regression sensitivity analysis

Meticillin-resistant Staphylococcus aureus (MRSA) is an important nosocomial and community-acquired pathogen with zoonotic potential. The relationship between MRSA in humans and companion animals is poorly understood. This study presents a quantitative exposure assessment, based on expert opinion and published data, in the form of a second order stochastic simulation model with accompanying logistic regression sensitivity analysis that aims to define the most important factors for MRSA acquisition in dogs. The simulation model was parameterised using expert opinion estimates, along with published and unpublished data. The outcome of the model was biologically plausible and found to be dominated by uncertainty over variability. The sensitivity analysis, in the form of four separate logistic regression models, found that both veterinary and non-veterinary routes of acquisition of MRSA are likely to be relevant for dogs. The effects of exposure to, and probability of, transmission of MRSA from the home environment were ranked as the most influential predictors in all sensitivity analyses, although it is unlikely that this environmental source of MRSA is independent of alternative sources of MRSA (human and/or animal). Exposure to and transmission from MRSA positive family members were also found to be influential for acquisition of MRSA in pet dogs, along with veterinary clinic attendance and, while exposure to and transmission from the veterinary clinic environment was also found to be influential, it was difficult to differentiate between the importance of independent sources of MRSA within the veterinary clinic. The implementation of logistic regression analyses directly to the input/output relationship within the simulation model presented in this paper represents the application of a variance based sensitivity analysis technique in the area of veterinary medicine and is a useful means of ranking the relative importance of input variables.

Nickel deposited on the skin-visualization by DMG test

Nickel is the most common cause of contact allergy and an important risk factor for hand eczema. Visualization techniques may be powerful in showing exposures. The dimethylglyoxime (DMG) test might be used to establish skin exposure to nickel. To develop and evaluate methods for visualization of nickel on the skin by the DMG test and hand imprints. Nickel solutions at different concentrations were applied in duplicate on the hands in healthy subjects (n = 5). The DMG test and acid wipe sampling for quantification were then performed. Hand imprints were taken after manipulation of nickel-releasing tools (n = 1), and in workers performing their normal tasks (n = 7). The imprints were developed by the DMG test. The DMG test on hands gave positive results in all subjects. The lowest concentration giving rise to a colour change was set to 0.13 µg/cm(2) for DMG testing on skin. DMG test-developed imprints worked well except when hands were heavily contaminated by other particles/dust. The DMG test may be used as a simple and powerful tool for visualization of nickel on skin. DMG test-developed hand imprints may, in the future, be used for semi-quantitative or quantitative exposure assessment.

Quantitative assessment of diethylthiourea exposure in two cases of occupational allergic contact dermatitis

Ulrik Fischer Friis1, Jeanne Duus Johansen1, Teddy Krongaard2 and Torkil Menne3 1National Allergy Research Centre, Department of Dermato-Allergology, Copenhagen University Hospital Gentofte, 2900 Hellerup, Denmark, 2Department of Atmospheric Environment, National Environmental Research Institute, Aarhus University, 4000 Roskilde, Denmark, and 3Department of Dermato-Allergology, Copenhagen University Hospital Gentofte, 2900 Hellerup, Denmark

A Novel Approach to Estimating Average Long-term Endotoxin Exposure for Children: The Endotoxin Exposure Matrix

PP-30-121 Background/Aims: A major limitation to quantitative endotoxin exposure assessment is that it only effectively captures endotoxin exposure level at 1 time-point. Thus far, no feasible or economical method has been proposed to estimate average long-term endotoxin exposure. A potential solution to this difficulty is to borrow from occupational epidemiology and adapt the concepts of job exposure matrices to estimate cumulative endotoxin exposure, which acts as a proxy for average exposure over time, in a new exposure matrix—the Endotoxin Exposure Matrix (EEM). Methods: The EEM is designed to estimate the environmental (background) levels of endotoxin and incorporate intensifying factors (factors affecting background levels). These environmental factors (location of residence, degree of parental interaction, and household dust) are assigned an endotoxin exposure score in an a priori fashion (with the exception of household dust). Household levels of endotoxin will be measured from collected dust samples using the LAL Assay and converted into endotoxin exposure scores, which is assessed along a 3-point ordinal scale. This quantitative measure will also allow internal validation of the EEM. Exposure status for various intensifying endotoxin factors will act as multipliers for their corresponding environmental factors (eg, infrequent house cleaning increases the endotoxin exposure from household dust). To capture the long-term nature of exposure, duration of exposure (years lived) will be taken into account. Endotoxin exposure scores associated with the environmental factors will be multiplied by the duration of exposure and corresponding intensifying factors and summed to give an endotoxin exposure index (EEI). Results: As the EEI is semiquantitative, its interpretation is on an ordinal scale, such that a higher EEI value corresponds to a higher level of endotoxin exposure and the absolute value of the index is not meaningful. Conclusion: Therefore, the EEM allows average long-term endotoxin exposure to be estimated in a feasible and economical fashion.

Modelling of occupational respirable crystalline silica exposure for quantitative exposure assessment in community-based case-control studies

We describe an empirical model for exposure to respirable crystalline silica (RCS) to create a quantitative job-exposure matrix (JEM) for community-based studies. Personal measurements of exposure to RCS from Europe and Canada were obtained for exposure modelling. A mixed-effects model was elaborated, with region/country and job titles as random effect terms. The fixed effect terms included year of measurement, measurement strategy (representative or worst-case), sampling duration (minutes) and a priori exposure intensity rating for each job from an independently developed JEM (none, low, high). 23,640 personal RCS exposure measurements, covering a time period from 1976 to 2009, were available for modelling. The model indicated an overall downward time trend in RCS exposure levels of -6% per year. Exposure levels were higher in the UK and Canada, and lower in Northern Europe and Germany. Worst-case sampling was associated with higher reported exposure levels and an increase in sampling duration was associated with lower reported exposure levels. Highest predicted RCS exposure levels in the reference year (1998) were for chimney bricklayers (geometric mean 0.11 mg m(-3)), monument carvers and other stone cutters and carvers (0.10 mg m(-3)). The resulting model enables us to predict time-, job-, and region/country-specific exposure levels of RCS. These predictions will be used in the SYNERGY study, an ongoing pooled multinational community-based case-control study on lung cancer.

Methodologies for quantifying culturable, viable, and total Legionella pneumophila in indoor air

Legionella pneumophila, aerosolized from numerous indoor facilities (e.g., shower heads, hot tubs, spas), may cause Pontiac fever (PF) and lethal pneumonia named Legionnaires' disease (LD) in humans. Reliable methods on quantitative exposure assessment of this bioaerosol are essential for the prevention of PF and LD. Coupled with culture, ethidium monoazide with qPCR, and qPCR assays, the collection efficiency for culturable, viable, and total L. pneumophila was assessed by means of filtration sampling (IOM with gelatin filter and cassette with polycarbonate filter) and liquid-based sampling methods (BioSampler, AGI-30, MAS-100 sampler with Tween mixture and deionized water (DW)). Results show IOM/gelatin filter was comparable to cassette/polycarbonate filter (P = 0.33) and performed greater than all of tested liquid-based methods for total cell collection. On the other hand, IOM/gelatin filter obtained greater efficiencies than cassette/polycarbonate filter by a factor of 3.8-8.6 for viable cells (P = 0.0006) and two orders of magnitude for culturable cells (P = 0.00002). Further comparison between liquid impingement and filtration methods indicates the sampling by IOM/gelatin filter, AGI-30, and BioSampler with DW were the most appropriate for viable cells, while culturable cells were collected most efficiently by BioSampler/DW with periodical replenishment during the sampling. This study recommends the most suitable methodologies for quantifying culturable, viable, and total Legionella pneumophila in indoor air. By using appropriate sampling and analytical methods, the residents and building owners are able to obtain the reliable data and further characterize the exposure risk and/or intervention efficacy against L. pneumophila. Moreover, the adoption of suitable monitoring methods also assists the investigators to explore the sources linked to PF and LD during the outbreaks. Considering reliable microbial monitoring is fundamental for epidemiological survey and risk assessment, the present information should be taken into account in assessing L. pneumophila indoors.

Occupational hand eczema caused by nickel and evaluated by quantitative exposure assessment

EU legislation has reduced the epidemic of nickel contact allergy affecting the consumer, and shifted the focus towards occupational exposure. The acid wipe sampling technique was developed to quantitatively determine skin exposure to metals. To assess the clinical usefulness of the acid wipe sampling technique as part of the diagnostic investigation for occupational nickel allergy-associated hand dermatitis. Six patients with vesicular dermatitis on the hands were included. Acid wipe sampling of skin and patch testing with a nickel sulfate dilution series were performed. Nickel was detected in all samples from the hands. In all patients, the nickel content on the hands was higher than on the non-exposed control area. Occupational exposure to nickel-releasing items raised the nickel content on exposed skin as compared with a non-exposed control site. Nickel-reducing measures led to complete symptom relief in all cases. In cases of a positive nickel patch test reaction and hand eczema, patients should perform the dimethylglyoxime (DMG) test on metallic items at home and at work. The acid wipe sampling technique is useful for the diagnosis of occupational hand eczema following screening with the inexpensive DMG test.

Quantitative assessment of airborne exposures generated during common cleaning tasks: a pilot study.

BackgroundA growing body of epidemiologic evidence suggests an association between exposure to cleaning products with asthma and other respiratory disorders. Thus far, these studies have conducted only limited quantitative exposure assessments. Exposures from cleaning products are difficult to measure because they are complex mixtures of chemicals with a range of physicochemical properties, thus requiring multiple measurement techniques. We conducted a pilot exposure assessment study to identify methods for assessing short term, task-based airborne exposures and to quantitatively evaluate airborne exposures associated with cleaning tasks simulated under controlled work environment conditions.MethodsSink, mirror, and toilet bowl cleaning tasks were simulated in a large ventilated bathroom and a small unventilated bathroom using a general purpose, a glass, and a bathroom cleaner. All tasks were performed for 10 minutes. Airborne total volatile organic compounds (TVOC) generated during the tasks were measured using a direct reading instrument (DRI) with a photo ionization detector. Volatile organic ingredients of the cleaning mixtures were assessed utilizing an integrated sampling and analytic method, EPA TO-17. Ammonia air concentrations were also measured with an electrochemical sensor embedded in the DRI.ResultsAverage TVOC concentrations calculated for 10 minute tasks ranged 0.02 - 6.49 ppm and the highest peak concentrations observed ranged 0.14-11 ppm. TVOC time concentration profiles indicated that exposures above background level remained present for about 20 minutes after cessation of the tasks. Among several targeted VOC compounds from cleaning mixtures, only 2-BE was detectable with the EPA method. The ten minute average 2- BE concentrations ranged 0.30 -21 ppm between tasks. The DRI underestimated 2-BE exposures compared to the results from the integrated method. The highest concentration of ammonia of 2.8 ppm occurred during mirror cleaning.ConclusionsOur results indicate that airborne exposures from short-term cleaning tasks can remain in the air even after tasks' cessation, suggesting potential exposures to anyone entering the room shortly after cleaning. Additionally, 2-BE concentrations from cleaning could approach occupational exposure limits and warrant further investigation. Measurement methods applied in this study can be useful for workplace assessment of airborne exposures during cleaning, if the limitations identified here are addressed.

Exposure assessment of dioxins and dioxin-like PCBs in pasteurised bovine milk using probabilistic modelling

Quantitative exposure assessment is a useful technique to investigate the risk from contaminants in the food chain. The objective of this study was to develop a probabilistic exposure assessment model for dioxins (PCDD/Fs) and dioxin-like PCBs (DL-PCBs) in pasteurised bovine milk. Mean dioxins and DL-PCBs (non- ortho and mono- ortho PCBs) concentrations (pg WHO-TEQ g −1) in bovine milk were estimated as 0.06 ± 0.07 pg WHO-TEQ g −1 for dioxins and 0.08 ± 0.07 pg WHO-TEQ g −1 for DL-PCBs using Monte Carlo simulation. The simulated model estimated mean exposure for dioxins was 0.19 ± 0.29 pg WHO-TEQ kg −1 bw d −1 and 0.14 ± 0.22 pg WHO-TEQ kg −1 bw d −1 and for DL-PCBs was 0.25 ± 0.30 pg WHO-TEQ kg −1 bw d −1 and 0.19 ± 0.22 pg WHO-TEQ kg −1 bw d −1 for men and women, respectively. This study showed that the mean dioxins and DL-PCBs exposure from consumption of pasteurised bovine milk is below the provisional maximum tolerable monthly intake of 70 pg TEQ kg −1 bw month −1 (equivalent of 2.3 pg TEQ kg −1 bw d −1) recommended by the Joint FAO/WHO Expert Committee on Food Additives and Contaminants (JECFA). Results from this study also showed that the estimated dioxins and DL-PCBs concentration in pasteurised bovine milk is comparable to those reported in previous studies.

Variability and Uncertainty in Swedish Exposure Factors for Use in Quantitative Exposure Assessments

Information of exposure factors used in quantitative risk assessments has previously been compiled and reported for U.S. and European populations. However, due to the advancement of science and knowledge, these reports are in continuous need of updating with new data. Equally important is the change over time of many exposure factors related to both physiological characteristics and human behavior. Body weight, skin surface, time use, and dietary habits are some of the most obvious examples covered here. A wealth of data is available from literature not primarily gathered for the purpose of risk assessment. Here we review a number of key exposure factors and compare these factors between northern Europe--here represented by Sweden--and the United States. Many previous compilations of exposure factor data focus on interindividual variability and variability between sexes and age groups, while uncertainty is mainly dealt with in a qualitative way. In this article variability is assessed along with uncertainty. As estimates of central tendency and interindividual variability, mean, standard deviation, skewness, kurtosis, and multiple percentiles were calculated, while uncertainty was characterized using 95% confidence intervals for these parameters. The presented statistics are appropriate for use in deterministic analyses using point estimates for each input parameter as well as in probabilistic assessments.

Racial Profiling and Traffic Stops: An Examination of Research Approaches and Findings in the War on Drugs

AbstractThis article is a review of some of the main research approaches to understanding racial profiling as it manifests in the traffic stop. It orients the emergence of racial profiling as a product of the war on drugs philosophy guiding law enforcement in the late 20th century and discusses how the contemporary nature of racial profiling has origins in a long history of racialized policing in the United States. Theoretical and methodological approaches to the issue, particularly from mainstream criminologists, focus on quantitative assessment of exposure to law enforcement agents and rational choice‐based arguments that it makes sense to target certain groups based on the hue of the criminal justice system. More critical approaches examined within complicate this notion by contextualizing racial profiling in contemporary times as a mere manifestation of historical efforts by the state to marginalize communities of color.