Annals of Occupational Hygiene最新文献

Task-based worker exposure assessments are used in regulatory product approval for pesticides. Some agricultural workers may be exposed to pesticide residues predominantly via transfer to the hands during plant tending or crop harvesting. They may use thin 'splash-resistant single-use' (SRSU) gloves or cotton gloves as good industry practice, for example, to protect a delicate crop from bruising, rather than specifically for chemical protection. These 'non-personal protective equipment (PPE)' gloves may or may not have been tested for chemical resistance, but can nevertheless give limited protection from chemicals. This paper reports experiments to assess the protection factors (PFs) of 'non-PPE' gloves against chemicals, to better inform the regulatory exposure assessments.One type of lightweight cotton and three types of 0.1 mm SRSU gloves 25cm long (latex, nitrile, and vinyl) that might be used as 'non-PPE' gloves and one type of 0.4 mm PPE nitrile gauntlet 33cm long were worn by 36 volunteers in greenhouses at four nurseries, handling plants sprayed with transferable but non-permeating strontium acetate in four consecutive 1-h sessions, including one session in which no gloves were worn. Dislodgeable foliar residues were measured by rinsing leaves in bags. Each subject carried out their task such as weeding or trimming, for their four sessions on their set of plants. Handwashes followed each session, and the washings were sampled and analysed for strontium. Unprotected hand contamination was taken to be the within-subject 'challenge' in the absence of gloves. It ranged from 166 to 4091 µg equivalent of strontium acetate on the hands and increased with increasing foliar residues. Geometric mean PFs were 60 (95% CI 38-87, n = 22) for PPE gauntlets, 32 (25-41, n = 65) for SRSU gloves and 5.3 (3.5-8, n = 21) for lightweight cotton. The PFs offered by the waterproof gloves (gauntlets and SRSU) increased with challenge, but for the absorbent cotton gloves it decreased. The measurement of protection is restricted by the limit of quantification (LOQ) such that protection must apparently increase with challenge, nevertheless the above trends remained even after removal of data

Gloves are often needed for hand protection at work, but they can impair manual dexterity, especially if they are multilayered or ill-fitting. This article describes two studies of gloves to be worn with airfed suits (AFS) for nuclear decommissioning or containment level 4 (CL4) microbiological work. Both sets of workers wear multiple layers of gloves for protection and to accommodate decontamination procedures. Nuclear workers are also often required to wear cut-resistant gloves as an extra layer of protection. A total of 15 subjects volunteered to take part in manual dexterity testing of the different gloving systems. The subjects' hands were measured to ensure that the appropriate sized gloves were used. The gloves were tested with the subjects wearing the complete clothing ensembles appropriate to the work, using a combination of standard dexterity tests: the nine-hole peg test; a pin test adapted from the European Standard for protective gloves, the Purdue Pegboard test, and the Minnesota turning test. Specialized tests such as a hand tool test were used to test nuclear gloves, and laboratory-type manipulation tasks were used to test CL4 gloves. Subjective assessments of temperature sensation and skin wettedness were made before and after the dexterity tests of the nuclear gloves only. During all assessments, we made observations and questioned the subjects about ergonomic issues related to the clothing ensembles. Overall, the results show that the greater the thickness of the gloves and the number of layers the more the levels of manual dexterity performance are degraded. The nuclear cut-resistant gloves with the worst level of dexterity were stiff and inflexible and the subjects experienced problems picking up small items and bending their hands. The work also highlighted other factors that affect manual dexterity performance, including proper sizing, interactions with the other garments worn at the time, and the work equipment in use. In conclusion, when evaluating gloves for use in the workplace it is important to use tests that reflect the working environment and always to consider the balance between protection and usability.

Introduction: Chlorination is a method commonly used to keep indoor swimming pool water free from pathogens. However, chlorination of swimming pools produces several potentially hazardous by-products as the chlorine reacts with nitrogen containing organic matter. Up till now, exposure assessments in indoor swimming pools have relied on stationary measurements at the poolside, used as a proxy for personal exposure. However, measurements at fixed locations are known to differ from personal exposure.

Methods: Eight public swimming pool facilities in four Swedish cities were included in this survey. Personal and stationary sampling was performed during day or evening shift. Samplers were placed at different fixed positions around the pool facilities, at ~1.5 m above the floor level and 0-1 m from the poolside. In total, 52 personal and 110 stationary samples of trichloramine and 51 personal and 109 stationary samples of trihalomethanes, were collected.

Results: The average concentration of trichloramine for personal sampling was 71 µg m(-3), ranging from 1 to 240 µg m(-3) and for stationary samples 179 µg m(-3), ranging from 1 to 640 µg m(-3). The air concentrations of chloroform were well below the occupational exposure limit (OEL). For the linear regression analysis and prediction of personal exposure to trichloramine from stationary sampling, only data from personal that spent >50% of their workday in the pool area were included. The linear regression analysis showed a correlation coefficient (r2) of 0.693 and a significant regression coefficient β of 0.621; (95% CI = 0.329-0.912, P = 0.001).

Conclusion: The trichloramine exposure levels determined in this study were well below the recommended air concentration level of 500 µg m(-3); a WHO reference value based on stationary sampling. Our regression data suggest a relation between personal exposure and area sampling of 1:2, implying an OEL of 250 µg m(-3) based on personal sampling.

Phthalates, a ubiquitous class of chemicals found in consumer, personal care, and cleaning products, have been linked to adverse health effects. Our goal was to characterize urinary phthalate metabolite concentrations and to identify work and nonwork sources among custodians using traditional cleaning chemicals and 'green' or environmentally preferable products (EPP). Sixty-eight custodians provided four urine samples on a workday (first void, before shift, end of shift, and before bedtime) and trained observers recorded cleaning tasks and types of products used (traditional, EPP, or disinfectant) hourly over the work shifts. Questionnaires were used to assess personal care product use. Four different phthalate metabolites [monoethyl phthalate (MEP), monomethyl phthalate (MMP), mono (2-ethylhexyl) phthalate (MEHP), and monobenzyl phthalate (MBzP)] were quantified using liquid chromatography mass spectrometry. Geometric means (GM) and 95% confidence intervals (95% CI) were calculated for creatinine-adjusted urinary phthalate concentrations. Mixed effects univariate and multivariate modeling, using a random intercept for each individual, was performed to identify predictors of phthalate metabolites including demographics, workplace factors, and personal care product use. Creatinine-adjusted urinary concentrations [GM (95% CI)] of MEP, MMP, MEHP, and MBzP were 107 (91.0-126), 2.69 (2.18-3.30), 6.93 (6.00-7.99), 8.79 (7.84-9.86) µg g(-1), respectively. An increasing trend in phthalate concentrations from before to after shift was not observed. Creatinine-adjusted urinary MEP was significantly associated with frequency of traditional cleaning chemical intensity in the multivariate model after adjusting for potential confounding by demographics, workplace factors, and personal care product use. While numerous demographics, workplace factors, and personal care products were statistically significant univariate predictors of MMP, MEHP, and MBzP, few associations persisted in multivariate models. In summary, among this population of custodians, we identified both occupational and nonoccupational predictors of phthalate exposures. Identification of phthalates as ingredients in cleaning chemicals and consumer products would allow workers and consumers to avoid phthalate exposure.

Unmanned Aerial System (UAS) technologies are rapidly developing, lowering cost, and technology barriers for their use in numerous applications. This review and commentary summarizes relevant literature in allied fields and evaluates potential application and utility of UAS technology in the discipline of occupational hygiene. Disciplines closely related to occupational hygiene are moving to investigate potential uses--and in some cases--already employing this technology for research or commercial purposes. The literature was reviewed to formulate a cross-sectional picture of how UAS technology is being used in these closely allied disciplines which could inform or guide potential use in occupational hygiene. Discussed are UAS applications in environmental monitoring, emergency response, epidemiology, safety, and process optimization. A rapidly developing state of the art indicates that there is potential utility for this technology in occupational hygiene. Benefits may include cost savings, time savings, and averting hazardous environments via remote sensing. The occupational hygiene community can look to allied fields to garner lessons and possible applications to their own practice.

Introduction: Trichloramine (NCl3) is the contaminant suspected the most to cause irritative respiratory symptoms among swimmers and swimming pool workers. Following complaints by employees working in an indoor swimming pool, this study set out to identify the determinants of NCl3 air concentrations in that particular swimming pool.

Methods: To document NCl3 air levels, air samples (n = 26) were collected once or twice a day for 3 h, at least 3 days per week, between October and December 2011. Water samples were taken three times during air sampling to verify free chlorine, chloramines, alkalinity, conductivity, pH, water temperature, and turbidity. Water changes were also recorded, along with the number of bathers. Ventilation (outdoor air flow) was modified to verify the influence of this important variable. Data were evaluated by analysis of variance.

Results: Mean NCl3 air concentration was 0.38 mg m(-3). The best model explaining variations of NCl3 air levels (r2 = 0.83) included sampling period (P = 0.002, NCl3 was higher in the evening versus the morning), water changes (P = 0.02, NCl3 was lower with water changes between 60 and 90 min day(-1) versus <60 min day(-1)), and ventilation (P = 0.0002, NCl3 was lower with ≥2 air changes per hour (ACH) versus <1 ACH).

Discussion and conclusion: Although based on only 26 air samples, our results indicate that ventilation is an important determinant of NCl3 air concentration in swimming pool air. There is limited information available on the air quality of indoor swimming pools and the relationship with ventilation. Efforts are needed to document the situation and to develop state-of-the-art facilities for ventilation of indoor swimming pools.

We compared the frequency of lens opacities among physicians with and without occupational exposure to ionizing radiation, and estimated dose-response between cumulative dose and opacities. We conducted ophthalmologic examinations of 21 physicians with occupational exposure to radiation and 16 unexposed physicians. Information on cumulative radiation doses (mean 111 mSv) was based on dosimeter readings recorded in a national database on occupational exposures. Lens changes were evaluated using the Lens Opacities Classification System II, with an emphasis on posterior subcapsular (PSC) and cortical changes. Among the exposed physicians, the prevalences of cortical and PSC changes were both 11% (3/21), and the corresponding frequencies in the unexposed group were 44% (n = 7) and 6% (n = 1). For dose-response analysis, the data were pooled with 29 exposed physicians from our previous study. No association of either type of lens changes with cumulative recorded dose was observed. Our findings do not indicate an increased frequency of lens opacities in physicians with occupational exposure to ionizing radiation. However, the subjects in this study have received relatively low doses and therefore the results do not exclude small increases in lens opacities or contradict the studies reporting increases among interventional cardiologists with materially higher cumulative doses.

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.

This study aims to elucidate variations in head-and-face shape among the Chinese civilian workers. Most respirator manufacturers are using outdated, Western anthropometric data to design respirators for the Chinese workers. Therefore, newly acquired anthropometric data specific to the Chinese population are needed to create more effective personal protective equipment. The three-dimensional (3D) head scans of 350 participants, who were selected from the 3000 participants in the 2006 Chinese Anthropometric Survey, were processed using geometric processing techniques. Each scan was then linked with the others, making statistical shape analysis on a dense set of 3D points possible. Furthermore, this provided for the reduction of scan noise as well as for the patching of holes. Following general scan correspondence and fine tuning, principal component analysis was used to analyze the variability in head-and-face shape of the 3D images. More than 90% of the variability among head-and-face shapes was accounted for with 26 principal components. Future study is recommended so the overall usefulness of the point cloud-based approach for the quantification of variations in facial morphology may be determined.

Background/objectives: Limited research indicates that using English language only surveys in prevalence studies conducted in the general population or in specific ethnic populations may result in unrepresentative samples and biased results. In this study, we investigated whether participants from ethnic minorities who chose to answer a study interview in a language other than English (LOTE) differed from those who completed the interview in English.

Methods: This study was conducted within an Australian population-based telephone survey that assessed the prevalence of occupational exposure to carcinogens among 749 ethnic minority workers. We used modified Poisson regression to determine the factors associated with completing the interview in a LOTE.

Results: Participants who elected to complete the interview in a LOTE differed from those who completed it in English on several factors, including sex, country of birth, education, occupation, and occupational exposure to carcinogens (40% compared with 29%, P < 0.01).

Conclusions: The participants who chose to complete the study interview in their native language had several demographic differences from those participants who completed it in English, and were more likely to be exposed to carcinogens at work. Prevalence studies that offer only English language study instruments are unlikely to produce representative samples of minority groups, and may therefore produce biased results.