Introduction: Baggage handling is considered to be a heavy manual handling job including biomechanical exposures suspected of increasing the risk for musculoskeletal disorders. Aims: To document low back pain (LBP), shoulder pain (SP), and physical and psychosocial factors in baggage handlers, and to evaluate the implementation of an ergonomic intervention aiming to increase the use of loading assist devices. Methods: A questionnaire was utilized to characterize pain and psychosocial work conditions in 525 baggage handlers. The postures of 55 baggage handlers during 114 shifts were measured using inclinometry, half shift video-recordings were made for subsequent task analysis, and the number of aircraft handled was registered. Associations for psychosocial and biomechanical exposures with pain were assessed using regression analyses. An ergonomic intervention was implemented and evaluated using questionnaires and repeated interviews. Feasibility, intermediate outcomes, barriers and facilitators were assessed. Results: The prevalence rates of reported LBP and SP were 70% and 60%, respectively. Pain interfering with work (LBP - 30% and SP - 18%) and high pain intensity (LBP - 34% and SP - 28%) were associated with poor psychosocial working conditions. Extreme postures with arms elevated >60° occurred for 6.4% of the total time, and in trunk flexion >60° for 2.1% total time. In contrast, 71% of the total time was spent in a neutral trunk posture. The 90th percentile trunk forward flexion was 34.1°.  Daily shoulder pain increased in approximately one-third of all shifts and was positively associated with extreme work posture and the number of aircraft handled; this association was modified by influence and support. The intervention was delivered as planned, and dose received and satisfaction were rated as high. Motivated trainees facilitated implementation while lack of manager support, opportunities to observe and practice behaviors, follow-up activities, staff reduction, and job insecurity were barriers. Conclusion: The high prevalence rates of LBP and SP in baggage handlers were associated with psychosocial exposures, and daily shoulder pain was associated with higher biomechanical exposure. Barriers to implementation can be minimized by recruiting motivated trainees, securing strong organizational support, and carrying out follow-up activities.

No description available.

<p>Manganese (Mn) is an essential element and, at high doses, a neurotoxin that many workers are exposed to daily. Increased Mn body burden due to occupational exposures leads to a parkinsonian disorder that features symptoms such as mood disturbances, cognition deficits, and motor dysfunction. To understand exposed workers’ risk, biomarkers of exposure have been developed using blood, hair, bone, and toenails. None of these biomarkers take into account how much Mn is in the brain and instead rely on the assumption that Mn uptake in these materials is proportional and related to the levels in the brain. One way to measure Mn in the brain is through neuroimaging modalities, such as magnetic resonance imaging and positron emission tomography, however there remains a need to establish reliable neuroimaging biomarkers for Mn exposure and its toxicological effects. This thesis addresses this need.</p><p>First, we hypothesized that changes in Mn exposure would be reflected by changes in the MRI relaxation rate R1 and thalamic γ-aminobutyric acid (GABA). As part of a prospective cohort study, 17 welders were recruited and imaged on two separate occasions approximately two years apart. MRI relaxometry was used to assess changes of Mn accumulation in the brain. Additionally, GABA was measured using magnetic resonance spectroscopy (MRS) in the thalamic and striatal regions of the brain. Air Mn exposure ([Mn]air) and cumulative exposure indexes of Mn (Mn-CEI) for the past three months (Mn-CEI3M), past year (Mn-CEI12M), and lifetime (Mn-CEILife) were calculated using personal air sampling and a comprehensive work history, while toenails were collected for analysis of internal Mn body burden. Finally, welders’ motor function was examined using the Unified Parkinson’s Disease Rating Scale (UPDRS). Mn-CEI12M decreased significantly between the first and second scan (Wilcoxon Signed Rank, p = 0.02). ΔMn-CEI3M were correlated with R1 in the substantia nigra (spearman partial correlation, ρ = 0.50, p = 0.036) and thalamic GABA (ρ = 0.66, p = 0.001), but only GABA significantly decreased linearly with Mn-CEI3M (quantile regression, β = 15.22, p = 0.02). Finally, Mn-CEILife influences the change in R1 in the substantia nigra with Δ[Mn]Air, where higher Mn-CEILife lessened the ΔR1 per Δ[Mn]Air (F-test, p = 0.005). While R1 and GABA changed with Mn exposure, UPDRS was unaffected.</p><p>Secondly, we hypothesized that occupational exposure to Mn would lead to disturbances in dopamine release (DA), as measured with PET. Excess exposure to manganese (Mn) can lead to symptoms similar to Parkinson’s disease (PD). While symptoms of PD are due to loss of nigrostriatal dopaminergic neurons, there is no DA neuron loss with Mn toxicity. To assess how DA release may be affected by Mn exposure, 6 subjects (3 welders, 3 controls) were scanned with positron emission tomography and [11C]raclopride (a DA D2/D3 receptor antagonist displaceable by endogenous DA) at baseline and during an amphetamine challenge. There were no apparent differences in amphetamine-induced striatal DA release between groups. However, UPDRS motor scores were positively linearly related to [11C]raclopride binding potential (BPND) in the putamen, whereas Mn-CEILife was negatively related to baseline pre-commissural caudate and ventral striatum BPND. The pilot results suggest that [11C]raclopride PET might delineate the cause of mood and motor dysfunction in subjects exposed to Mn.</p><p>Third, we hypothesized that advanced data analysis techniques, such as machine learning, would increase our power in finding differences between groups of welders and controls based on exposure and biological outcomes. This study used data from previous studies in occupationally exposed welders and controls. Whole brain relaxometry using MRI measuring the relaxation rate R1 was acquired in 52 welders and 37 controls. Because measures of R1 in selected regions of the brain have been previously found to be proportional to Mn, we hypothesized that an advanced model taking into account the whole brain might be more predictive for Mn exposure. Additionally, because R1 is proportional to Mn in the region, we used a biokinetic model to estimate the amount of excess Mn in the brain from occupational exposures. Support vector machines (SVM) with a linear kernel were trained using leave-one-out cross-validation. Results indicated that models had recall and accuracy better than chance targeting air Mn exposure, years welding, age, and thalamic GABA. In comparison to all models, R1 appears to reliably predict thalamic GABA across all thresholds, which was previously shown to change with increased Mn exposure. This suggests that while R1 may be proportional to Mn, some Mn may not be free to contribute to signal, and instead thalamic GABA might better reflect the overall amount of free Mn in the brain. </p><p>Collectively, this thesis is a successful step towards establishing neuroimaging biomarkers of effect from occupational Mn exposure. The MRI relaxation rate R1, with adequate modeling, could eventually be used to measure total Mn brain burden while thalamic GABA might represent a better metric for measuring the neurochemical effects from recent exposures. However, future research should incorporate more endpoints, such as motor tests, mood assessments, and behavior assessments. </p><div><br></div><p><br></p>

Les expositions professionnelles représentent la 2nde étiologie de cancer du poumon. Parmi elles, les laines minérales (LM) utilisées comme substitut à l’amiante sont suspectées d’augmenter le risque de cancer du poumon en raison de leur structure proche de celle de l’amiante. Dans ce contexte, ce travail a pour objectif d'évaluer le rôle de l'histoire professionnelle et en particulier celui de l'exposition professionnelle aux LM dans la survenue de cancer du poumon en tenant compte des expositions à l'amiante, à la silice, autres substances très prévalentes dans le secteur de la construction. Une dernière partie a consisté à étudier le risque de cancer du poumon associé à l'exposition professionnelle aux poussières de ciment.Nous avons analysés les histoires professionnelles complètes des cas et témoins inclus dans l'étude cas-témoins en population générale ICARE, identifiés dans 10 départements français abritant un registre général de cancer. Au total, 2 276 cas de cancer du poumon chez les hommes et 2 780 témoins ont été inclus ainsi que 650 cas de cancers du poumon féminins et 775 témoins. Deux stratégies d'évaluation des expositions aux LM et à l'amiante ont été utilisées: une matrice emplois-expositions (MEE) et une matrice tâche-exposition élaborée par des hygiénistes industriels et tenant compte des données individuelles. Les expositions à la silice et au ciment ont toujours été évaluées par MEE. Nos résultats confirment le rôle important des expositions professionnelles comme déterminant du risque de cancer du poumon en mettant en évidence des associations avec de nombreuses professions et secteurs d'activité. L'hypothèse d'une association entre le risque de cancer du poumon et l'exposition professionnelle aux LM est suggérée sans toutefois pouvoir exclure une confusion résiduelle par l'amiante car ces deux expositions sont très corrélées. Par ailleurs, nos résultats confirment le rôle cancérogène de l'amiante et de la silice et suggèrent une association entre l'exposition aux poussières de ciment et le risque de cancer du poumon. / Occupational exposures are the second main risk factor of lung cancer. Asbestos has progressively been substituted by mineral wools (MW). Because of their similarity in shape with asbestos, they have been suspected of causing cancer of the respiratory system. In this context, the objectives of this work were to assess the role of occupational history in lung cancer risk; to investigate in details lung cancer risk associated with exposure to MW, carefully taking into account occupational exposures to asbestos and crystalline silica, two common potential carcinogenic exposure among construction workers; and to study the risk of lung cancer associated with occupational exposure to cement dusts.We analysed lifetime occupational history of cases and controls included in the ICARE study, a large multi-centre, population-based, case-control study. They were recruited in 10 French départements with a general cancer registry. The study included 6481 subjects (men: 2 276 lung cancer cases and 2 780 controls, women: 650 lung cancer cases and 775 controls). Two strategies of assessment of occupational exposure to MW and asbestos were used: a job-exposure matrix (JEM) and a task-exposure matrix constructed by trained hygienist and taking into account individual information. Occupational exposures to crystalline silica and cement dusts were both assessed using specific JEMs.Our results confirm the important role of occupational exposure as a determinant of lung cancer risk by showing associations between lung cancer risk and several occupations or industries. An association between MW exposure and lung cancer risk is suggested without being able to exclude a potential residual confounding by asbestos since these two exposures are deeply correlated. Our results also confirm asbestos and silica carcinogenicity and suggest an association between cement dusts and lung cancer risk.

<p>Aluminum (Al) is the third most abundant metal on the earth’s surface. An association of Al with Alzheimer’s disease has been suggested, but, given limited human evidence, is controversial. It is possible that exploration of long-term, or cumulative, exposure to Al will help clarify this debate. Therefore, our study hypothesis was that occupational exposure to Al, particularly long-term exposure, is associated with adverse cognitive and olfactory outcomes. </p><p>Biomarkers are important tools in epidemiologic research; however, the reliability and quality of various biomarkers may vary. Therefore, in Chapter 2, we reviewed current evidence on Al biomarkers with the goal to synthesize current understanding regarding their utility for use in research. Our review evaluated 78 papers which discussed various biomarkers of Al exposure. Limited evidence is currently available for Al in nails, hair, breastmilk, saliva and semen. Although they have more daily variation than other biomarkers, blood Al concentrations may differentiate between exposed and non-exposed groups. Unlike blood Al, Al concentrations in both urine and bone are not subject to daily fluctuations. Bone Al appears able to quantify long term Al exposure. Therefore, the use of <i>in vivo</i>neutron activation analysis (IVNAA), a novel bone biomarker, can potentially represent cumulative Al exposure. </p><p>In Chapter 3, we evaluated the hypothesis that the correlation between bone and CEI measurements will be higher than the correlation between bone with fingernail. A cross-sectional cohort of 61 ferroalloy and manufacturing factory workers from Zunyi, China were used in this secondary analysis. Correlations of bone Al with other Al measures (fingernail and cumulative exposure index (CEI)) were assessed for 43 of the factory workers who had bone Al samples. Fingernail samples were analyzed using inductively coupled plasma mass spectrometry. Bone measurements were taken with a compact IVNAA developed by our research team. CEI was calculated as CEI_i=, where C_iis estimated Al exposure based on job title (low/medium/high) and Y_iis the years employed. The CEI was calculated for the prior 5, 10, 15, 20 years and lifetime work history. Median Al values were: 34.4 mg/g (IQR=46) fingernail; 15 mg/g (IQR=28) bone; and 26 (IQR=21) total CEI. Adjusting for age and education, the linear regression model suggests that bone Al is reflective of 15 years of exposure based off the significant association between bone Al and 15-year CEI (b=0.91, <i>p</i><0.02). Other models with CEI were not statistically significant.</p><p>In Chapter 4, we evaluated the association between bone, CEI and fingernail Al measurements with olfactory and cognitive function. The relationship between cognitive and olfactory function was compared with bone Al (N=43), fingernail Al (FnAl) (N=56), 5 year Al CEI and lifetime Al CEI (N=61) measurements. Olfactory function was assessed with the University of Pennsylvania Smell Identification Test and cognitive function was assessed with the WHO/UCLA Auditory Verbal Learning Test (AVLT). Verbal fluency was assessed using Fruit Naming and Animal Naming. Additional variables were assessed via questionnaire. Linear regression models, adjusted for age, education, current alcohol consumption and current smoking status, showed a significant association between higher BnAl and higher recall on the AVLT interference list (b=0.04, 95% Confidence interval (CI)=0.01, 0.08) and higher 5-year CEI with higher recall on the fifth AVLT trial (b=-0.23, 95% CI=-0.45, -0.01). No significant association between FnAl and lifetime CEI with olfactory and cognitive function was observed. </p><p>In Chapter 5, we explored the potential for interactions of Al with another metal to impact the potential association of Al with cognitive and olfactory function. Interaction models used the natural log of fingernail Al with each of copper (Cu), manganese (Mn), lead (Pb) and zinc (Zn) for the 56 male workers. The linear regression models controlled for age, education current alcohol consumption, current smoking status, and all five fingernail metals. Higher ln(FnMn) was associated with lower recall for several AVLT trials. The interaction term for ln(FnAl) and ln(FnZn) was significantly associated with AVLT Trial 1 (β= 1.99, 95% CI=0.07, 3.93), AVLT Trial 5 (β= 2.71, 95% CI= 0.02, 5.41) and AVLT average (β=2.11, 95% CI=0.01, 4.21). </p>Overall, this research presents valuable information regarding noninvasive, <i>in vivo</i>assessment of BnAl and its relationship with other Al biomarkers and measures of cognitive function. To the best of our knowledge, this is the largest study to use INVAA BnAl measurements to quantify long-term aluminum exposures within an occupational population, the first to compare BnAl with an estimate of cumulative Al exposure. Additionally, we are not aware of prior studies which have examined the interaction of fingernail metals, including Al, with olfactory and cognitive tests. Our results suggest BnAl is significantly associated with the prior 15-years of Al exposure and that IVNAA to assess BnAl can be used in field epidemiology studies. For our study, there was limited evidence of an association of BnAl and 5-year CEI with cognitive function. Most comparisons did not show any evidence of an association of Al with cognitive or olfactory function, but a statistically significant interaction between Al and Zn with some measures of cognitive function was observed. It is recommended that our findings be confirmed with larger studies.

This work characterized burn-off emissions from automobiles. After an exhaustive literature review, engine temperatures were determined to reach a maximum temperature of approximately 110oC, while exhaust system components reached a maximum temperature around 600oC. Metal-drawing fluids were used to bend the exhaust system components during manufacturing. Because these components were not rinsed prior to incorporation into a vehicle, residues could be left on the surfaces. An experimental test chamber was constructed to conduct controlled testing of three metalworking fluids of various types to mimic real-world conditions. Real-time particle number measurements were made using a condensation particle counter and an optical particle counter. The temperature at which burn-off begins to occur was found to be around 120 to 150oC. This burn-off was found to be an evaporation-condensation phenomenon when metalworking fluid residues vaporize and condense forming fine (0.1µm to 2.5µm) and ultrafine (<0.1µm) aerosols. The temperature dependency of this phenomenon was observed to follow the Clausius-Clapeyron equation that states as temperature increases, vapor pressure increases. Most aerosol particles were observed to be in the range of less than 0.01µm to approximately 2.0µm.

Recent scholarly efforts have sought to examine the cumulative impact of deleterious adverse childhood exposures on various mental health outcomes. Lifetime prevalence rates for depressive disorders are approximately 20% among adolescents. Depression is ranked as the leading cause for disability and fourth leading contributor to the global burden of disease in the world. The purpose of this study was to determine the cumulative impact of adolescent adverse experiences on outcomes of depression, suicide ideation, and overall mental distress in a cohort of 125 adolescent girls receiving public assistance. The adverse exposures studied were personal victimization, household dysfunction, and community violence exposures. Across the three categories of exposures, adolescents reported that community exposures were the highest 92.8%, followed by household dysfunction 89.6 %, and lastly, personal victimization 80%. Over 40% reported experiencing more than seven adverse exposures. There was a doubling in the incidence of depression by the fourth year, and an almost ten percent increase in mental distress by the fourth year. Evidence of a significant direct association was found for those experiencing victimization with depression and suicide ideation. The total Adolescent Adverse Exposures (AAE) score was positively correlated with the CES-D scores in the last three years of the study, however not with suicide ideation. The cumulative impact or 'dose-response' relationship of such exposures on depression, suicide ideation, or change over time was not found. In contradiction with general beliefs and existing literature, a significant negative association was found with depression and having a parent incarcerated or experiencing the divorce of parents. This finding suggests given the homogeneity of this population, experiencing both poverty and high levels of exposure to victimization, that having an incarcerated parent or parental divorce may be potentially protective mitigating the stressful experiences of continued victimization. The results of this study offer evidence of high prevalence rates of adversity occurring in the lives of these already at risk adolescents. A call for efforts to reduce community violence and personal victimization in the context of poverty are needed to prevent the growing rates of depression and suicide ideation for these fragile families and adolescence.

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.

We describe the design and implementation of a high dynamic range (HDR) imaging system capable of capturing RGB color images with a dynamic range of 10,000,000 : 1 at 25 frames per second. We use a highly programmable camera unit with high throughput A/D conversion, data processing and data output. HDR acquisition is performed by multiple exposures in a continuous rolling shutter progression over the sensor. All the different exposures for one particular row of pixels are acquired head to tail within the frame time, which means that the time disparity between exposures is minimal, the entire frame time can be used for light integration and the longest expo- sure is almost the entire frame time. The system is highly configurable, and trade-offs are possible between dynamic range, precision, number of exposures, image resolution and frame rate.

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.