Validation of a full-shift benzene exposure empirical model developed for work on offshore petroleum installations on the Norwegian continental shelf.

Workers on offshore petroleum installations might be exposed to benzene, a carcinogenic agent. Recently, a full-shift benzene exposure model was developed based on personal measurements. This study aimed to validate this exposure model by using datasets not included in the model. The exposure model was validated against an internal dataset of measurements from offshore installations owned by the same company that provided data for the model, and an external dataset from installations owned by another company. We used Tobit regression to estimate GM (geometric mean) benzene exposure overall and for individual job groups. Bias, relative bias, precision, and correlation were estimated to evaluate the agreement between measured exposures and the levels predicted by the model. Overall, the model overestimated exposure when compared to the predicted exposure level to the internal dataset with a factor of 1.7, a relative bias of 73%, a precision of 0.6, a correlation coefficient of 0.72 (p = 0.019), while the Lin's Concordance Correlation Coefficient (CCC) was 0.53. The model underestimated exposure when compared to the external dataset with a factor of about 2, with a relative bias of -45%, a precision of 1.2, a correlation coefficient of 0.31 (p = 0.544), and a Lin's CCC of 0.25. The exposure model overestimated benzene exposure in the internal validation dataset, while the precision and the correlation between the measured and predicted exposure levels were high. Differences in measurement strategies could be one of the reasons for the discrepancy. The exposure model agreed less with the external dataset.

Power Spectrum of Acceleration and Angular Velocity Signals as Indicators of Muscle Fatigue during Upper Limb Low-Load Repetitive Tasks.

Muscle fatigue is a risk factor for developing musculoskeletal disorders during low-load repetitive tasks. The objective of this study was to assess the effect of muscle fatigue on power spectrum changes of upper limb and trunk acceleration and angular velocity during a repetitive pointing task (RPT) and a work task. Twenty-four participants equipped with 11 inertial measurement units, that include acceleration and gyroscope sensors, performed a tea bag filling work task before and immediately after a fatiguing RPT. During the RPT, the power spectrum of acceleration and angular velocity increased in the movement and in 6-12 Hz frequency bands for sensors positioned on the head, sternum, and pelvis. Alternatively, for the sensor positioned on the hand, the power spectrum of acceleration and angular velocity decreased in the movement frequency band. During the work task, following the performance of the fatiguing RPT, the power spectrum of acceleration and angular velocity increased in the movement frequency band for sensors positioned on the head, sternum, pelvis, and arm. Interestingly, for both the RPT and work task, Cohens' d effect sizes were systematically larger for results extracted from angular velocity than acceleration. Although fatigue-related changes were task-specific between the RPT and the work task, fatigue systematically increased the power spectrum in the movement frequency band for the head, sternum, pelvis, which highlights the relevance of this indicator for assessing fatigue. Angular velocity may be more efficient to assess fatigue than acceleration. The use of low cost, wearable, and uncalibrated sensors, such as acceleration and gyroscope, in industrial settings is promising to assess muscle fatigue in workers assigned to upper limb repetitive tasks.

Shorter work boot shaft height improves ankle range of motion and decreases the oxygen cost of work.

Work boots featuring design elements implemented to protect the foot and lower limb are common in many industries. However, boot design can have negative unintended consequences such as increases in work related fatigue and injury risk. This study compared joint kinematics and the physiological cost of two commercially available steel-toed work boots with different shaft designs worn throughout a simulated work task. A boot with a lower-cut and scalloped shaft allowed greater sagittal plane range of motion at the ankle joint compared to a boot with a higher-cut straight shaft, particularly in the late stance phase of the gait cycle. This was coupled with a decreased physiological cost of treadmill walking (2.6 and 3.1% improvement in oxygen consumption and walking economy, respectively), likely caused by a more efficient gait pattern. A lower-cut and scalloped shaft could lead to decreases in work-related fatigue and the subsequent risk of injuries in workers. Practitioner summary: Gait kinematics and the physiological cost of work boots with different shaft heights has not previously been investigated. A randomised cross-over study design found that a boot with a lower shaft height and scalloped collar improved ankle range of motion and reduced the physiological cost experienced by the wearers. Abbreviations: ROM: range of motion; FS: full shaft; SS: scalloped shaft; COM: centre of mass; HR: heart rate; RPE: rating of perceived exertion; ES: effect size.

Urinary mutagenicity and other biomarkers of occupational smoke exposure of wildland firefighters and oxidative stress.

Background: Wildland firefighters conducting prescribed burns are exposed to a complex mixture of pollutants, requiring an integrated measure of exposure. Objective: We used urinary mutagenicity to assess if systemic exposure to mutagens is higher in firefighters after working at prescribed burns versus after non-burn work days. Other biomarkers of exposure and oxidative stress markers were also measured. Methods: Using a repeated measures study design, we collected urine before, immediately after, and the morning after a work shift on prescribed burn and non-burn work days from 12 healthy subjects, and analyzed for malondialdehyde (MDA), 8-isoprostane, 1-hydroxypyrene (OH-pyrene), and mutagenicity in Salmonella YG1041 +S9. Particulate matter (PM2.5) and carbon monoxide (CO) were measured by personal monitoring. Light-absorbing carbon (LAC) of PM2.5 was measured as a surrogate for black carbon exposure. Linear mixed-effect models were used to assess cross-work shift changes in urinary biomarkers. Results: No significant differences occurred in creatinine-adjusted urinary mutagenicity across the work shift between burn days and non-burn days. Firefighters lighting fires had a non-significant, 1.6-fold increase in urinary mutagenicity for burn versus non-burn day exposures. Positive associations were found between cross-work shift changes in creatinine-adjusted urinary mutagenicity and MDA (p = 0.0010), OH-pyrene (p = 0.0001), and mass absorption efficiency which is the LAC/PM2.5 ratio (p = 0.2245), respectively. No significant effect of day type or work task on cross-work shift changes in MDA or 8-isoprostane was observed. Conclusion: Urinary mutagenicity may serve as a suitable measure of occupational smoke exposures among wildland firefighters, especially among those lighting fires for prescribed burns.

Burnout-depression overlap: Nomological network examination and factor-analytic approach.

Burnout has been defined as a condition in which individuals are left exhausted by a long-term confrontation with unmanageable job stressors. The question of whether burnout reflects anything other than depressive responses to unresolvable stress remains an object of debate. In this 911-participant study (83% female; mean age: 42.36), we further addressed the issue of burnout-depression overlap. Burnout was assessed with the exhaustion subscale of the Maslach Burnout Inventory-General Survey (MBI-GS) and depression with the PHQ-8. The relationships of burnout and depression with three job-related variables - illegitimate work tasks, work-nonwork interference, and job satisfaction - and three "context-free" variables - social support, general health status, and trait anxiety - were examined. Burnout and depression were found to be strongly correlated, to cluster together, and to exhibit overlapping nomological networks. Remarkably, the average correlations of burnout and depression with job-related variables were almost identical. A principal component analysis and a principal axis factor analysis both showed that the items of the MBI-GS and of the PHQ-8 loaded on a single dimension. All in all, our findings are consistent with the view that burnout is a depressive condition. The distinction between burnout and depression may be an instance of the jangle fallacy.

Dust, endotoxin, fungi, and bacteria exposure as determined by work task, season, and type of plant in a flower greenhouse.

BACKGROUND: Greenhouse workers are exposed to dust, endotoxin, fungi, and bacteria potentially causing airway inflammation as well as systemic symptoms. Knowledge about determinants of exposure is a prerequisite for efficient prevention through knowledge-based reduction in exposure. The objective of this study was to assess the occupational exposure in a flower greenhouse and to investigate the impact of work tasks on the intensity and variability in exposure. METHODS: Seventy-six personal full-shift exposure measurements were performed on 38 employees in a Danish flower greenhouse producing Campanula, Lavandula, Rhipsalideae, and Helleborus. The samples were gravimetrically analysed for inhalable dust. Endotoxin was assessed by the Limulus Amoebocyte Lysate test and culture-based quantification of bacteria and fungi was performed. Information on the performed tasks during sampling was extracted from the greenhouse electronic task logging system. Associations between log-transformed exposure outcomes, season, and work tasks were examined in linear mixed-effects regression with worker identity as random effect. RESULTS: Measured concentrations ranged between 0.04 and 2.41mg m(-3) for inhalable dust and between 0.84 and 1097 EU m(-3) for endotoxin exposure, with the highest mean levels measured during Lavandula and Campanula handling, respectively. Personal exposure to fungi ranged between 1.8×10(2) and 3.4×10(6) colony-forming units (CFU) m(-3) and to bacteria between 1.6×10(1) and 4.2×10(5) CFU m(-3). Exposure to dust, endotoxin, fungi, and bacteria differed between seasons. Packing Lavandula, sticking, potting, and grading Rhipsalideae, and all examined tasks related to Campanula production except sticking increased dust exposure. Endotoxin exposure was increased during sticking Campanula and pinching or packing Rhipsalideae, and fungi exposure was elevated by subtasks performed in the research and development area for Campanula, and by potting, packing/dumping Campanula. Sticking and working with subtasks in the research and development area for Campanula increased bacteria exposure. CONCLUSION: This study revealed moderate dust exposure levels compared to the levels observed in other greenhouse productions and other occupations with organic dust exposure such as farming. However, high exposures to bacteria and fungi were detected during selected tasks and the proposed health-based endotoxin exposure limit of 90 EU m(-3) was exceeded in 30% of the samples, which may have health implications for the employees. Exposure levels were found to vary depending on the tasks performed, and thereby results can be used to direct task-based initiatives to reduce workplace exposures.

Benzene Exposure From Selected Work Tasks on Offshore Petroleum Installations on the Norwegian Continental Shelf, 2002-2018.

OBJECTIVES: Work on offshore petroleum installations may cause exposure to benzene. Benzene is a carcinogenic agent, and exposure among workers should be as low as reasonably practicable. We aimed to assess short-term (less than 60 min) benzene exposure from the most frequent work tasks on offshore installations on the Norwegian continental shelf and identify determinants of exposure. In addition, we aimed to assess the time trend in task-based benzene measurements from 2002 to 2018. METHODS: The study included 763 task-based measurements with a sampling duration of less than 60 min, collected on 28 offshore installations from 2002 to 2018. The measurements were categorized into 10 different tasks. Multilevel mixed-effect Tobit regression models were developed for two tasks: sampling and disassembling/assembling equipment. Benzene source, season, indoors or outdoors, design of process area, year of production start, sampling method, and work operation were considered as potential determinants for benzene exposure in the models. RESULTS: The overall geometric mean (GM) benzene exposure was 0.02 ppm (95% confidence intervals 95%(CI: 0.01-0.04). The pipeline inspection gauge (PIG) operation task was associated with the highest exposure, with a GM of 0.33 ppm, followed by work on flotation cells, disassembling/assembling, and sampling, with GMs of 0.16, 0.04, and 0.01 ppm, respectively. Significant determinants for the disassembling/assembling task were work operation (changing or recertifying valves, changing or cleaning filters, and breaking pipes) and benzene source. For sampling, the benzene source was a significant determinant. Overall, the task-based benzene exposure declined annually by 10.2% (CI 95%: -17.4 to -2.4%) from 2002 to 2018. CONCLUSIONS: The PIG operation task was associated with the highest exposure out of the ten tasks, followed by work on flotation cells and when performing disassembling/assembling of equipment. The exposure was associated with the type of benzene source that was worked on. Despite the decline in task-based exposure in 2002-2018, technical measures should still be considered in order to reduce the exposure.

Evaluation of a Digital COPD Education Program for Healthcare Professionals in Long-Term Care - A Mixed Methods Study.

Background: Lack of routines and competence among healthcare professionals have been reported as barriers to COPD management in long-term care. Online education could be used as a strategy to make COPD education more accessible. Purpose: The aim of this study was to evaluate a digital COPD education program for healthcare professionals in long-term care regarding feasibility, knowledge and working procedures. Methods: A randomized controlled feasibility trial with a convergent mixed methods design was conducted. Two municipalities in Sweden were randomized to intervention (n=20) or control (n=17). The intervention was a digital COPD education program accessible for three months. Data was collected through questionnaires on COPD-specific knowledge, conceptual knowledge, feasibility and usage of the COPD Web platform. Repeated individual interviews using a semi-structured interview guide was also performed. Quantitative and qualitative findings were merged using a mixed methods design. Results: The digital COPD education program appears feasible based on the expressed satisfaction of the healthcare workers and their reports that it supported them in their work. Across questionnaires, objective COPD-specific knowledge increased by 14 to 16 percentage points in the intervention group compared to 0 to 6 percentage points in the control group (p=0.001). The objective increase in COPD-specific knowledge was also captured in the interviews, where a perceived increase in knowledge led to increased security and focus on COPD management. Few changes in working procedures were expressed, but participants felt that attention was raised regarding COPD and the importance of preventive healthcare services. In addition, increased knowledge of healthcare services provided by other involved professions was emphasized, leading to discussions with other professions in relation to COPD management. Conclusion: A digital COPD education program is feasible and can increase the COPD-specific knowledge of healthcare professionals in long-term care, leading to increased focus on COPD-related issues. More comprehensive measures, including organizational changes, might be needed to change working procedures.

Design of a Fuzzy Logic Evaluation to Determine the Ergonomic Risk Level of Manual Material Handling Tasks.

In this work, we propose a fuzzy inference as a decision support system built in the MATLAB Fuzzy Logic Designer for evaluating manual material handling risk conditions. The input variables for the fuzzy decision were: (1) the total time duration of the manual material handling in one shift of 450 min, with 3 h considered the maximal exposition time; (2) 25 kg as a maximal mass reference which should never be exceeded; (3) the repetitiveness of the manual material handling task through the shift considering as the maximal frequency of four lifts per min. Results of 135 earlier direct ergonomic evaluations made using the method proposed by the ISO 11228-1 were used as validator results, and called "expected results". The experimentation intended to simulate an ergonomic evaluation in different boundary conditions of work and verify if the fuzzy interface could correctly replicate the results of the ergonomic evaluations. As validation, the list with the 135 expected results was compared against the evaluation made by the fuzzy logic interface, called "Work_Conditions". From the comparison, only three evaluations (0.02%) differed with respect to the expected results. Consequently, it is concluded that the fuzzy interface can be used as a tool for automating the determination of manual material handling ergonomic risk levels, with great precision.

Training method and system for stress management and mental health care of managers based on deep learning.

In recent years, with the rapid development of the economy, in order to stabilize in the market and expand their own business, various companies in the form of various indicators, tangible or intangible to improve the management of the work of workers, speed up the pace of work, take up more work time. This article studies its relationship with stress management from the perspective of psychological capital, in order to achieve prior control of work stress from the perspective of individual positive psychological capital, and provide a new perspective for work stress management in the field of human resource management, and at the same time Enterprises and colleges and universities improve the psychological capital of employees and provide new management models. The unreasonable distribution of work even affects the daily life of management workers and aggravates the working pressure of company management workers. The training process of deep learning is actually the process of repeated forward and reverse calculations of the deep neural network based on the provided data. This process can actually be abstracted, and the deep learning framework is designed to accomplish this task. The existence of a deep learning framework allows users not to fully understand the principles and training process of deep neural networks, but can effectively train the models they want. A long time of high mental state tension leads to a variety of physical and psychological discomfort. If the pressure cannot be alleviated and released, this article extends the health collection equipment of the deep learning to households, continuously records the health status of residents through the mobile Internet, and uses the information resources of the regional residents' health file platform to provide residents with health status evaluation, management and guidance, health care consultation, education and education. A series of personal health management services such as health risk factor assessment. The positive emotion index of managers increased from 18 to 27, and the negative emotion index decreased from 29 to 13. The positive emotion was significantly more than the negative emotion, and the emotional situation was improved.

Guidelines of the German Association of Engineers for Evaluating Human Work in the Digital Factory.

OCCUPATIONAL APPLICATIONSStarting with the first part of a guideline in 2001, a group of experts and the associated guideline committee of the German Association of Engineers (VDI) began with the production-logistical evaluation of human work related to simulation procedures and Digital Factory tools. This VDI guideline 3633 part 6 dealt with the first macro-ergonomic procedures available. Published in 2015, in VDI guideline 4499 part 4, micro-ergonomic problems related to human stress from work task were added. Nowadays, the still missing micro-ergonomic evaluation of effects by the work environment is on the way to be published as VDI guideline 4499 part 5. This article deals with these developments, which are considered state of the art in Germany at least at the time of their publication. In addition, some examples illustrate proven possibilities, but existing gaps are also discussed.

TECHNICAL ABSTRACTBackground Nowadays, simulation procedures and Digital Factory tools represent an essential part of planning production resources. Discrete event-driven simulation mainly concentrates on their production logistics evaluation. The increasing development of Digital Human Models brings ergonomic aspects into focus. These methods take into account the stress from the work task, but not from the work environment.Purpose Using simulation methods, little attention has been paid to macro-ergonomic analyzes. Micro-ergonomic human models primarily consider anthropometric and work-physiological aspects, but hardly any work-psychological or work-sociological issues. In addition, there is a lack of software procedures for evaluating the work environment in the Digital Factory. The purpose of this article is to summarize the achievements and to show existing gaps.Methods For developing a guideline part, an expert group of the German Association of Engineers (VDI) commissions a specific guideline committee. After approval by the expert group, the editorial processing is carried out by the VDI organization. Only then does a preliminary publication take place and, after any objections have been dealt with, the final VDI guideline part will be issued.Results VDI guidelines represent the state of the art in Germany, but do not have the status of a standard. The first guideline VDI 3633 part 6 dealt with the modeling of working humans in simulation procedures. In 2015, it was followed by the guideline VDI 4499 part 4, which was dedicated to ergonomic modeling of humans in the Digital Factory. The guideline VDI 4499 part 5 is currently about to be published. Its subject is the prediction of environmental influences on working humans.Conclusions The guideline parts developed show that there are still a major number of questions that require further research. The article briefly summarizes the knowledge gained.

Work Tasks as Determinants of Respirable and Inhalable Indium Exposure among Workers at an Indium-Tin Oxide Production and Reclamation Facility.

Increased global demand for touch screens, photovoltaics, and optoelectronics has resulted in an increase in the production of indium-tin oxide (ITO). Occupational exposure to indium compounds is associated with the development of indium lung disease. Although many previous epidemiologic investigations highlight an excess of lung abnormalities in workplaces where ITO is produced, few assessments of occupational exposure to respirable and inhalable indium are reported to date. The objective of this study was to identify the determinants of respirable and inhalable indium at an ITO production facility to target exposure interventions. In 2012 and 2014, we conducted exposure assessments at an ITO production facility and collected full-shift personal respirable (n = 159) and inhalable (n = 57) indium samples. We also observed workers and recorded information on task duration and location, materials used, and use of personal protective equipment (PPE). Tasks (n = 121) recorded in task diaries were categorized into 40 similar task groups using the Advanced REACH Tool and process-related information. Mixed-effects models were fit separately for log-transformed respirable and inhalable indium, with random effect of subject and fixed effects of task groups. Overall, respirable and inhalable indium measurements ranged from 0.1 to 796.6 µg m-3 and 1.6 to 10 585.7 µg m-3, respectively, and were highly correlated with Spearman correlation coefficient of 0.90. The final model for respirable indium explained 36.3% of total variance and identified sanding, powder transfer tasks in reclaim, powder transfer tasks in refinery, handling indium materials, and liquid transfer tasks in ITO production as tasks associated with increased respirable indium exposure. The final model for inhalable indium explained 24.6% of total variance and included powder transfer tasks in ITO production, cleaning cylinder or tile, and handling indium material tasks. Tasks identified as strong predictors of full-shift exposure to respirable and inhalable indium can guide the use of engineering, administrative, and PPE controls designed to mitigate occupational exposure to indium. Moreover, since the tasks were aligned with REACH activities, results from this study can also be used to inform REACH activity scenarios.

The relationship between physical work hazards and employee withdrawal: The moderating role of safety compliance.

We examined the relationship between physical work hazards and employee withdrawal among a sample of health care employees wherein safety compliance was hypothesized to moderate the relationship between physical work hazards and withdrawal. Health care workers (N = 162) completed an online questionnaire assessing physical work hazards, withdrawal, and indicators of workplace safety. Safety compliance moderated the relationship between patient aggression and withdrawal. Interaction plots revealed that for all significant moderations, the relationship between physical work hazards and withdrawal was weaker for those who reported high levels of compliance. Results shed initial light on the benefits of fostering safety compliance in health care contexts, which can contain exposure to physical work hazards.

Work-Related Injury and Management Strategies Among Certified Athletic Trainers.

CONTEXT: Health care workers have high rates of musculoskeletal injuries, but many of these injuries go unreported to workers' compensation and national surveillance systems. Little is known regarding the work-related injuries of certified athletic trainers (ATs). OBJECTIVE: To determine the 12-month incidence and prevalence of work-related injuries and describe injury-reporting and -management strategies. DESIGN: Cross-sectional study. SETTING: Population-based online survey. PATIENTS OR OTHER PARTICIPANTS: Of the 29 051 ATs currently certified by the Board of Certification, Inc, who "opted in" to research studies, we randomly selected 10 000. Of these, 1826 (18.3%) ATs currently working in the clinical setting were eligible and participated in the baseline survey. MAIN OUTCOME MEASURE(S): An online survey was e-mailed in May of 2012. We assessed self-reported work-related injuries in the previous 12 months and management strategies including medical care, work limitations or modifications, and time off work. Statistics (frequencies and percentages) were calculated to describe injury rates per 200 000 work hours, injury prevalence, injury characteristics, and injury-reporting and -management strategies. RESULTS: A total of 247 ATs reported 419 work-related injuries during the previous 12 months, for an incidence rate of 21.6 per 200 000 hours (95% confidence interval = 19.6, 23.7) and injury prevalence of 13.5% (95% confidence interval = 12.0%, 15.1%). The low back (26%), hand/fingers (9%), and knee (9%) were frequently affected body sites. Injuries were most often caused by bodily motion/overexertion/repetition (52%), contact with objects/equipment/persons (24%), or slips/trips/falls (15%). More than half of injured ATs (55.5%) sought medical care, 25% missed work, and most (77%) did not file a workers' compensation claim for their injury. Half of injured ATs were limited at work (n = 125), and 89% modified or changed their athletic training work as a result of the injury. CONCLUSIONS: More than half of AT work-related injuries required medical care or work limitations and were not reported for workers' compensation. Understanding how ATs care for and manage their work-related injuries is important given that few take time off work.

Don't Lose Your Brain at Work - The Role of Recurrent Novelty at Work in Cognitive and Brain Aging.

Cognitive and brain aging is strongly influenced by everyday settings such as work demands. Long-term exposure to low job complexity, for instance, has detrimental effects on cognitive functioning and regional gray matter (GM) volume. Brain and cognition, however, are also characterized by plasticity. We postulate that the experience of novelty (at work) is one important trigger of plasticity. We investigated the cumulative effect of recurrent exposure to work-task changes (WTC) at low levels of job complexity on GM volume and cognitive functioning of middle-aged production workers across a time window of 17 years. In a case-control study, we found that amount of WTC was associated with better processing speed and working memory as well as with more GM volume in brain regions that have been associated with learning and that show pronounced age-related decline. Recurrent novelty at work may serve as an 'in vivo' intervention that helps counteracting debilitating long-term effects of low job complexity.

An analytical ergonomic risk evaluation of body postures during daily cleaning tasks in horse stables.

BACKGROUND: Musculoskeletal disorders (MSDs) are a common reason for health problems and sick leave in many professions. A work arena where MSDs have not been sufficiently studied is stable work. Here many heavy and repetitive work tasks are performed manually with old-fashioned working tools. OBJECTIVE: The aim of this study was to use an analytical approach to identify, evaluate and grade ergonomic problems in physical work performed during daily activities in horse stables and relate these to MSDs among the workers and to the design of the tools. METHODS: Three common work tasks were studied to identify, evaluate and grade ergonomic problems; mucking out, sweeping and bedding replacement. Used methods were Hierarchical Task Analysis, Heuristic Evaluation and Rapid Entire Body Assessment. RESULTS: Several high-risk operations were found in mucking out boxes and disposal of bedding material. The problems consisted of awkward working postures such as a twisted and bent back, arms in an elevated position, wrists in extreme joint positions and handling of heavy loads. CONCLUSIONS: By using an analytical approach it is possible to identify presumptive ergonomic problems without extensive empirical research. In most high-risk operations, long-shafted tools or a wheelbarrow were used, which emphasize a need to develop tools with better ergonomic design to improve the working situation. The limitation is that the ergonomics problems found are not finally validated. The results show where deeper empirical research is needed, both regarding how MSDs occur and how tools and environment contribute to physical problems.