Introduction: Commercial fishing work involves a variety of activities and is hazardous. While much is understood to mitigate fatalities in this industry, research must further explore nonfatal injury characteristics, factors related to injury, and potential injury prevention strategies. This paper determines if fishing experience is associated with injury risk and explores common work activities associated with injury. Method: Key informant interviews and a survey of fishermen were conducted to refine work activity codes and collect injury experiences. Independent sample t-tests compared the means of the years fishing by injury incident for all crab fishermen then stratified by position. Descriptive statistics explored the nature of injury in relation to work activity. Results: The level of experience was significantly lower for injured fishermen compared to fishermen who reported no injuries, but when stratified by position at the time of the injury, the association of injury to experience was only significant for owners. This stratified result demonstrates that the work activity, rather than experience, drives the apparent relationship of experience to injury. Being tired (24%) and weather (26%) were indicated as contributing factors at the time of injury. Conclusion: Modifying the work environment to better control hazards would benefit all fishermen, regardless of their experience, age, or position. Further work into effective interventions that fishermen would adopt is needed to reduce injury risk. Any formal or informal training of new fishermen should focus on the most hazardous activities, but more experienced fishermen would also benefit. Additionally, effective training or interventions for fatigue management, and decision support tools for weather- and navigation-related decisions would further reduce risk of at sea injuries. Practical Applications: Injury prevention training, for all fishermen, regardless of their position and years of experience, should cover the most hazardous tasks, fatigue risk management strategies, and weather decisions.

OBJECTIVES: The Risk Information System for Commercial Fishing (RISC Fishing) merged information on fishermen and vessel incident types from various databases. This descriptive study examined linked fisherman injury records (fatal and nonfatal) and vessel incident records in Oregon and Washington from 2000 to 2018 in the RISC Fishing database. The circumstances of incidents and any association with fishermen outcomes were explored to identify injury prevention opportunities. METHODS: The statistical analyses included a descriptive study of incidents related to the injury characteristics and frequency of outcomes by incident type. Further analyses included contingency tables and Pearson Chi-Square tests for selected variables to determine if there were associations between vessel incident outcomes (fatality, nonfatal injury, no injury). RESULTS: A total of 375 reported incidents with 93 cases of fatalities, 239 nonfatal injuries, and over 6,575 fishermen with no injury were described. Of fatalities, 90% were due to drowning, with only 2% of victims reported donning survival equipment. Deckhands experienced fatal and nonfatal injuries most frequently. The most common factors associated with nonfatal injuries included contact with objects (event), walking on vessel and hauling gear (work activities), and fractures and open wounds (nature). The most common final event leading to a vessel disaster with no injury being reported was sinking (76%). Distributions between the incident outcomes (fatality, nonfatal injury, and no injury) differed by vessel activity/type, fishery/gear, and event leading to the incident. CONCLUSION: Linked information of fishermen injury outcomes and vessel incident information showed that events and settings that involve fatalities are qualitatively different from incidents resulting in only nonfatal injuries or uninjured survivors. Vessel-level approaches for mitigating fatalities, such as ensuring vessel stability, improving navigation/operation decisions, and spotlighting survival equipment policies/rescue priorities could have a significant impact. Work task-specific prevention strategies for nonfatal injuries related to the larger vessels (catcher/processors and processors) and smaller vessels (with pot/trap gears) are paramount. The use of linked information provided in reports can provide a fuller incident picture to advance efforts to improve the working conditions of commercial fishermen.

BACKGROUND: Commercial fishing is a precarious industry with high fatal and nonfatal injury rates. The Risk Information System of Commercial [RISC] Fishing project at Oregon State University has been tracking both fatal and nonfatal injuries among Oregon and Washington commercial fishermen. We examined the utility of the RISC dataset variables in highlighting injury factors and prevention opportunities. METHOD: We identified 245 nonfatal commercial fishing injuries in Oregon and Washington (2000-2018) and assessed the top three injury events (contact with objects or equipment, transportation incidents, and slips/trips/falls) using a cross-sectional design. We generated a Haddon matrix for each event type and populated the matrices with injury-associated factors following our a-priori matrix. RESULTS: We observed 108 nonfatal injuries due to contact with objects. Contact injuries occurred during fishing (40%) with fishing gears (40%), often while hauling the fishing gear (22%). Common injury mechanisms included getting caught in running equipment or machinery (19%) or compressed by shifting objects or equipment (18%). Of the 58 transportation injuries most occurred in catchers (93%) and smaller vessels (1 to 3 crew) (55%). Vessel casualties were common as several vessels struck rocks/bottom (29%) or experienced fire and explosion (19%). The crew was abandoned to water (38%), often due to no raft or raft malfunctions (19%). Slip/trip/fall injuries (n = 43) typically happened during onboard traffic (49%). Such events were largely experienced by the catcher-processors (44%) including large vessels with > 100 crew (28%). CONCLUSION: The Haddon matrix demonstrated the injury-event timeline and helped to identify potential injury-associated factors. Our injury-specific risk matrices will let commercial fishing stakeholders determine priorities and work with the experts on prevention efforts.

During events like the COVID-19 pandemic or a disaster, researchers may need to switch from collecting biological samples to personal exposure samplers that are easy and safe to transport and wear, such as silicone wristbands. Previous studies have demonstrated significant correlations between urine biomarker concentrations and chemical levels in wristbands. We build upon those studies and use a novel combination of descriptive statistics and supervised statistical learning to evaluate the relationship between polycyclic aromatic hydrocarbon (PAH) concentrations in silicone wristbands and hydroxy-PAH (OH-PAH) concentrations in urine. In New York City, 109 participants in a longitudinal birth cohort wore one wristband for 48 h and provided a spot urine sample at the end of the 48-hour period during their third trimester of pregnancy. We compared four PAHs with the corresponding seven OH-PAHs using descriptive statistics, a linear regression model, and a linear discriminant analysis model. Five of the seven PAH and OH-PAH pairs had significant correlations (Pearson's r = 0.35-0.64, p ≤ 0.003) and significant chi-square tests of independence for exposure categories (p ≤ 0.009). For these five comparisons, the observed PAH or OH-PAH concentration could predict the other concentration within a factor of 1.47 for 50-80% of the measurements (depending on the pair). Prediction accuracies for high exposure categories were at least 1.5 times higher compared to accuracies based on random chance. These results demonstrate that wristbands and urine provide similar PAH exposure assessment information, which is critical for environmental health researchers looking for the flexibility to switch between biological sample and wristband collection.

BACKGROUND: Commercial fishing consistently has among the highest workforce injury and fatality rates in the United States. Data related to commercial fishing incidents are routinely collected by multiple organizations which do not currently coordinate or automatically link data. Each data set has the potential to generate a more complete picture to inform prevention efforts. Our objective was to examine the utility of using statistical data linkage methods to link commercial fishing incident data when personally identifiable information is not available. METHODS: In this feasibility study, we identified true matches and discrepancies between de-identified data sets using the Python Record Linkage Toolkit. Four commercial fishing data sets from Oregon and Washington were linked: the Commercial Fishing Incident Database, the Vessel Casualty Database, the Nonfatal Injuries Database, and the Oregon Trauma Registry. The data sets each covered different date ranges within 2000-2017, containing 458, 524, 184, and 11 cases respectively. Several data linkage classifiers were evaluated. RESULTS: The Naïve-Bayes classifier returned the highest number of true matches between these small data sets. A total of 41 true matches and 8 close matches were identified, of which 29 were determined to be duplicates. In addition, linkage highlighted 4 records that were not commercial fishing cases from Oregon and Washington. The optimum match parameters were the date, state, vessel official number, and number of people on board. CONCLUSIONS: Statistical data linkage enables accurate, routine matching for small de-identified injury and fatality data sets such as those in commercial fishing. It provides information needed to improve the accuracy of existing data records. It also enables expanding and sharpening details of individual incidents in support of occupational safety research.

Commercial fishing is a high-risk occupation, yet there is a lack of surveillance documenting health conditions, health behaviors, and health care coverage among US fishermen. We used publicly available data sources to identify exposures and health outcomes common among fishermen. We utilized the National Institute for Occupational Safety and Health-Worker Health Charts to estimate the prevalence of general exposures, psychosocial exposures, health behaviors, and health conditions from the national surveys National Health Interview Survey - Occupational Health Supplement (NHIS-OHS, 2015) and Behavioral Risk Factor Surveillance System (BRFSS) (2013-2015). We compared fishing workers with both agricultural workers and all-workers. Fishermen commonly reported general exposures, psychosocial exposures, non-standard work arrangements, frequent night shifts, and shift work. The prevalence of musculoskeletal conditions such as carpal tunnel syndrome (33%) and severe low-back pain (27%) was also high. Smoking (45%) and second-hand smoke exposure (25%) were widespread, and 21% reported no health care coverage. National household surveys such as NHIS-OHS, and BRFSS can be utilized to describe the health status of fishermen. This workforce would benefit from increased access to health care and health promotion programs. More comprehensive evaluations of existing data can help to identify occupation-specific health challenges.

The commercial fishing industry in the United States is one of the most hazardous work settings. Operations are characterized by hazardous machinery and equipment, strenuous labor, long work hours, harsh weather, and moving decks. Risk varies by vessel and types of gear. During 2000–2016, the fishing industry suffered a fatality rate of 115 deaths per 100,000 workers, compared with an average of 4 deaths per 100,000 workers among all U.S. workers.1 During this same time, 755 commercial fishermen died, with nearly half of these fatalities (364, 48%) occurring after a vessel disaster, 30% (227) after a fall overboard, and 13% (97) from traumatic injuries sustained onboard.1 The remaining 67 (9%) fatalities occurred either while diving or from injuries that occurred onshore or on the dock.1 Risk factors and recommendations have been made to prevent these fatalities by fishery and by region of the country.2–6

Background: The seafood processing industry is critical to Alaska's economy and hazardous to workers; however, limited research has addressed workers' safety and health. Safety and health program management is a decisive factor in preventing fatalities, injuries, and illnesses. We interviewed managers to gain their views on their safety and health programs. Methods: Semi-structured interviews were conducted with 14 upper-level managers who oversaw programs for Alaskan worksites. Interviews were audio-recorded and transcribed. Qualitative content analysis techniques, including inductive coding, were utilized to explore participants' experiences and views regarding: management and workers' roles; hazard control systems; safety and health training; regulatory and economic factors; and programs' challenges and successes. Results: The 14 participants represented 13 companies that operated 32 onshore plants and 30 vessels with processing capabilities. Participants reported managing programs for an estimated 68% of the Alaskan seafood processing industry's workforce. Based on participants' responses, we identified five factors that could be modified to improve safety and health industry-wide: manager training and knowledge sharing; worker training; organizational aspects related to safety culture; application of ergonomic principles; and work hours. Participants reported that fully engaging workers in programs was beneficial. Conclusions: Industry members should more widely share their best practices for protecting workers' safety and health. Occupational safety and health practitioners and researchers should support the development and evaluation of (a) training for non/limited-English-speaking-workers, (b) ergonomic interventions, and (c) fatigue risk management systems. Future research should engage worksite managers and workers to characterize their safety and health experiences and needs.

BACKGROUND: Alaska's onshore seafood processing industry is economically vital and hazardous. METHODS: Accepted Alaska workers' compensation claims data from 2014 to 2015 were manually reviewed and coded with the Occupational Injury and Illness Classification System and associated work activity. Workforce data were utilized to calculate rates. RESULTS: 2,889 claims of nonfatal injuries/illnesses were accepted for compensation. The average annual claim rate was 63 per 1000 workers. This was significantly higher than Alaska's all-industry rate of 44 claims per 1000 workers (RR = 1.42, 95%CI = 1.37-1.48). The most frequently occurring injuries/illnesses, were by nature, sprains/strains/tears (993, 36%); by body part, upper limbs (1212, 43%); and by event, contact with objects/equipment (1020, 37%) and overexertion/bodily reaction (933, 34%). Incidents associated with seafood processing/canning/freezing (n = 818) frequently involved: repetitive motion; overexertion while handling pans, fish, and buckets; and contact with fish, pans, and machinery. CONCLUSIONS: Ergonomic and safety solutions should be implemented to prevent musculoskeletal injuries/illnesses.

INTRODUCTION: The U.S. Coast Guard and Federal Occupational Safety and Health Administration have identified the Alaskan offshore seafood processing industry as high-risk. This study used Coast Guard injury reports to describe patterns of traumatic injury among offshore seafood processors, as well as identify modifiable hazards. METHODS: From the reports, we manually reviewed and abstracted information on the incident circumstances, injury characteristics and circumstances, and vessel. Traumatic injury cases were coded using the Occupational Injury and Illness Classification System, and a Work Process Classification System. Descriptive statistics characterized worker demographics, injuries, and fleets. RESULTS: One fatal and 304 nonfatal injuries among processors were reported to the Coast Guard during 2010-2015 across multiple fleets of catcher-processor and mothership vessels. The most frequently occurring injuries were: by nature of injury, sprains/strains/tears (75, 25%), contusions (50, 16%), and fractures (45, 15%); by body part affected, upper extremities (121, 40%), and trunk (75, 25%); by event/exposure resulting in injury, contact with objects and equipment (150, 49%), and overexertion and bodily reaction (76, 25%); and by source of injury, processing equipment and machinery (85, 28%). The work processes most frequently associated with injuries were: processing seafood on the production line (68, 22%); stacking blocks/bags of frozen product (50, 17%); and repairing/maintaining/cleaning factory equipment (28, 9%). CONCLUSIONS: Preventing musculoskeletal injuries, particularly to workers' upper extremities and trunks, is paramount. Some injuries, such as serious back injuries, intracranial injuries, and finger crushing or amputations, had the potential to lead to disability. PRACTICAL APPLICATIONS: Safety professionals and researchers can use the study findings to inform future intervention efforts in this industry. Hazard control measures should target: (a) overexertion from lifting and lowering objects and equipment; (b) equipment and boxes falling and striking workers; (c) workers being caught in running machinery during regular operations; and (d) slips, trips, and falls.

INTRODUCTION: In 2011, the International Agency for Research on Cancer classified radiofrequency (RF) electromagnetic fields (EMF) as possibly carcinogenic to humans (group 2B), although the epidemiological evidence for the association between occupational exposure to RF-EMF and cancer was judged to be inadequate, due in part to limitations in exposure assessment. This study examines the relation between occupational RF and intermediate frequency (IF) EMF exposure and brain tumor (glioma and meningioma) risk in the INTEROCC multinational population-based case-control study (with nearly 4000 cases and over 5000 controls), using a novel exposure assessment approach. METHODS: Individual indices of cumulative exposure to RF and IF-EMF (overall and in specific exposure time windows) were assigned to study participants using a source-exposure matrix and detailed interview data on work with or nearby EMF sources. Conditional logistic regression was used to investigate associations with glioma and meningioma risk. RESULTS: Overall, around 10% of study participants were exposed to RF while only 1% were exposed to IF-EMF. There was no clear evidence for a positive association between RF or IF-EMF and the brain tumors studied, with most results showing either no association or odds ratios (ORs) below 1.0. The largest adjusted ORs were obtained for cumulative exposure to RF magnetic fields (as A/m-years) in the highest exposed category (>/=90th percentile) for the most recent exposure time window (1-4 years before the diagnosis or reference date) for both glioma, OR=1.62 (95% confidence interval (CI): 0.86, 3.01) and meningioma (OR=1.52, 95% CI: 0.65, 3.55). CONCLUSION: Despite the improved exposure assessment approach used in this study, no clear associations were identified. However, the results obtained for recent exposure to RF electric and magnetic fields are suggestive of a potential role in brain tumor promotion/progression and should be further investigated.

Currently there is a lack of inexpensive, easy-to-use technology to evaluate human exposure to environmental chemicals, including polycyclic aromatic hydrocarbons (PAHs). This is the first study in which silicone wristbands were deployed alongside two traditional personal PAH exposure assessment methods: active air monitoring with samplers (i.e., polyurethane foam (PUF) and filter) housed in backpacks, and biological sampling with urine. We demonstrate that wristbands worn for 48 h in a non-occupational setting recover semivolatile PAHs, and we compare levels of PAHs in wristbands to PAHs in PUFs-filters and to hydroxy-PAH (OH-PAH) biomarkers in urine. We deployed all samplers simultaneously for 48 h on 22 pregnant women in an established urban birth cohort. Each woman provided one spot urine sample at the end of the 48-h period. Wristbands recovered PAHs with similar detection frequencies to PUFs-filters. Of the 62 PAHs tested for in the 22 wristbands, 51 PAHs were detected in at least one wristband. In this cohort of pregnant women, we found more significant correlations between OH-PAHs and PAHs in wristbands than between OH-PAHs and PAHs in PUFs-filters. Only two comparisons between PAHs in PUFs-filters and OH-PAHs correlated significantly (rs = 0.53 and p = 0.01; rs = 0.44 and p = 0.04), whereas six comparisons between PAHs in wristbands and OH-PAHs correlated significantly (rs = 0.44 to 0.76 and p = 0.04 to <0.0001). These results support the utility of wristbands as a biologically relevant exposure assessment tool which can be easily integrated into environmental health studies. Graphical abstract PAHs detected in samples collected from urban pregnant women.

OBJECTIVES: In absence of clear evidence regarding possible effects of occupational chemical exposures on brain tumour aetiology, it is worthwhile to explore the hypothesis that such exposures might act on brain tumour risk in interaction with occupational exposure to extremely low frequency magnetic fields (ELF). METHODS: INTEROCC is a seven-country (Australia, Canada, France, Germany, Israel, New Zealand and UK), population-based, case-control study, based on the larger INTERPHONE study. Incident cases of primary glioma and meningioma were ascertained from 2000 to 2004. Job titles were coded into standard international occupational classifications and estimates of ELF and chemical exposures were assigned based on job-exposure matrices. Dichotomous indicators of cumulative ELF (≥50th vs <50th percentile, 1-4 year exposure time window) and chemical exposures (ever vs never, 5-year lag) were created. Interaction was assessed on both the additive and multiplicative scales. RESULTS: A total of 1939 glioma cases, 1822 meningioma cases and 5404 controls were included in the analysis, using conditional logistic regression. There was no clear evidence for interactions between ELF and any of the chemical exposures assessed for either glioma or meningioma risk. For glioma, subjects in the low ELF/metal exposed group had a lower risk than would be predicted from marginal effects. Results were similar according to different exposure time windows, to cut-points of exposure or in exposed-only analyses. CONCLUSIONS: There was no clear evidence for interactions between occupational ELF and chemical exposures in relation to glioma or meningioma risk observed. Further research with more refined estimates of occupational exposures is recommended.

Many epidemiological studies assessing the relationship between exposure and disease are carried out without data on individual exposures. When this barrier is encountered in occupational studies, the subject exposures are often evaluated with a job-exposure matrix (JEM), which consists of mean exposure for occupational categories measured on a comparable group of workers. One of the objectives of the seven-country case-control study of occupational exposure and brain cancer risk, INTEROCC, was to investigate the relationship of occupational exposure to electromagnetic fields (EMF) in different frequency ranges and brain cancer risk. In this paper, we use the Canadian data from INTEROCC to estimate the odds of developing brain tumours due to occupational exposure to EMF. The first step was to find the best EMF exposure surrogate among the arithmetic mean, the geometric mean, and the mean of log-normal exposure distribution for each occupation in the JEM, in comparison to Berkson error adjustments via numerical approximation of the likelihood function. Contrary to previous studies of Berkson errors in JEMs, we found that the geometric mean was the best exposure surrogate. This analysis provided no evidence that cumulative lifetime exposure to extremely low frequency magnetic fields increases brain cancer risk, a finding consistent with other recent epidemiological studies.Journal of Exposure Science and Environmental Epidemiology advance online publication, 29 March 2017; doi:10.1038/jes.2017.2.

To estimate occupational exposures to electromagnetic fields (EMF) for the INTEROCC study, a database of source-based measurements extracted from published and unpublished literature resources had been previously constructed. The aim of the current work was to summarize these measurements into a source-exposure matrix (SEM), accounting for their quality and relevance. A novel methodology for combining available measurements was developed, based on order statistics and log-normal distribution characteristics. Arithmetic and geometric means, and estimates of variability and maximum exposure were calculated by EMF source, frequency band and dosimetry type. The mean estimates were weighted by our confidence in the pooled measurements. The SEM contains confidence-weighted mean and maximum estimates for 312 EMF exposure sources (from 0 Hz to 300 GHz). Operator position geometric mean electric field levels for radiofrequency (RF) sources ranged between 0.8 V/m (plasma etcher) and 320 V/m (RF sealer), while magnetic fields ranged from 0.02 A/m (speed radar) to 0.6 A/m (microwave heating). For extremely low frequency sources, electric fields ranged between 0.2 V/m (electric forklift) and 11,700 V/m (high-voltage transmission line-hotsticks), whereas magnetic fields ranged between 0.14 muT (visual display terminals) and 17 muT (tungsten inert gas welding). The methodology developed allowed the construction of the first EMF-SEM and may be used to summarize similar exposure data for other physical or chemical agents.

BACKGROUND: The US commercial fishing industry is hazardous, as measured by mortality data. However, research on non-fatal injuries is limited. Non-fatal injuries constitute the majority of occupational injuries and can result in workers' lowered productivity and wages, lost quality of life, and disability. In the United States, a Work Process Classification System (WPCS) has previously been applied in Alaskan freezer-trawl and freezer-longline fleets to identify causes of injuries and specific hazards, but not to other fishing fleets. OBJECTIVES: This descriptive epidemiologic study aimed to explore the application and modification of the WPCS in multiple Alaskan fleets, characterize non-fatal occupational injuries in these fleets, and identify work processes that could be targeted for further investigation and future injury prevention efforts. DESIGN: Traumatic, non-fatal injuries on-board Alaskan commercial fishing vessels were identified through United States Coast Guard investigative reports. Characteristics of injuries, as well as worker characteristics, were analysed. Injuries were coded using the WPCS. RESULTS: We successfully utilized the WPCS to code non-fatal injury cases (n = 136). The most frequent main work processes associated with non-fatal injuries included: on-board trawlers, handling frozen fish and processing the catch; on-board vessels using pot/trap gear, handling the gear and shooting/setting the gear; on-board longliners, traffic on board and hauling the gear; and on-board processor vessels, processing the catch, other work with the catch, and handling frozen fish. CONCLUSIONS: The study confirmed that a WPCS can be applied to multiple Alaskan fleets to identify hazardous tasks. Hazards were unique for each vessel gear type. Future injury prevention efforts should target work processes associated with the most frequent and most severe injuries. Future studies should establish time estimates for work processes in order to determine risk estimates. Efforts to improve non-fatal injury reporting, especially on smaller commercial fishing vessels, should be undertaken.

BACKGROUND: Commercial fishing is a high-risk occupation. The West Coast Dungeness crab fishery has a high fatality rate; however, nonfatal injuries have not been previously studied. The purpose of this report was to describe the characteristics of fatal and nonfatal traumatic occupational injuries and associated hazards in this fleet during 2002-2014. MATERIALS AND METHODS: Data on fatal injuries were obtained from a surveillance system managed by the National Institute for Occupational Safety and Health. Data on nonfatal injuries were manually abstracted from Coast Guard investigation reports and entered into a study database. Descriptive statistics were used to characterise demographics, injury characteristics, and work processes performed. RESULTS: Twenty-eight fatal and 45 nonfatal injuries were reported between 2002 and 2014 in the Dungeness crab fleet. Most fatalities were due to vessel disasters, and many nonfatal injuries occurred on-deck when fishermen were working with gear, particularly when hauling the gear (47%). The most frequently reported injuries affected the upper extremities (48%), and fractures were the most commonly reported injury type (40%). The overall fatality rate during this time period was 209 per 100,000 full-time equivalent workers and the rate of nonfatal injury was 3.4 per 1,000 full-time equivalent workers. CONCLUSIONS: Dungeness crab fishermen are at relatively high risk for fatal injuries. Nonfatal injuries were limited to reported information, which hampers efforts to accurately estimate nonfatal injury risk and understand fishing hazards. Further research is needed to identify work tasks and other hazards that cause nonfatal injuries in this fleet. Engaging fishermen directly may help develop approaches for injury prevention.

INTRODUCTION: To date, occupational exposure assessment of electromagnetic fields (EMF) has relied on occupation-based measurements and exposure estimates. However, misclassification due to between-worker variability remains an unsolved challenge. A source-based approach, supported by detailed subject data on determinants of exposure, may allow for a more individualized exposure assessment. Detailed information on the use of occupational sources of exposure to EMF was collected as part of the INTERPHONE-INTEROCC study. To support a source-based exposure assessment effort within this study, this work aimed to construct a measurement database for the occupational sources of EMF exposure identified, assembling available measurements from the scientific literature. METHODS: First, a comprehensive literature search was performed for published and unpublished documents containing exposure measurements for the EMF sources identified, a priori as well as from answers of study subjects. Then, the measurements identified were assessed for quality and relevance to the study objectives. Finally, the measurements selected and complementary information were compiled into an Occupational Exposure Measurement Database (OEMD). RESULTS: Currently, the OEMD contains 1624 sets of measurements (>3000 entries) for 285 sources of EMF exposure, organized by frequency band (0 Hz to 300 GHz) and dosimetry type. Ninety-five documents were selected from the literature (almost 35% of them are unpublished technical reports), containing measurements which were considered informative and valid for our purpose. Measurement data and complementary information collected from these documents came from 16 different countries and cover the time period between 1974 and 2013. CONCLUSION: We have constructed a database with measurements and complementary information for the most common sources of exposure to EMF in the workplace, based on the responses to the INTERPHONE-INTEROCC study questionnaire. This database covers the entire EMF frequency range and represents the most comprehensive resource of information on occupational EMF exposure. It is available at www.crealradiation.com/index.php/en/databases.

Primary injury prevention strategies are needed to improve worker safety in the fishing industry by reducing the occurrence of vessel disasters. In 2006, the United States Coast Guard (USCG) implemented a novel safety policy intervention for two fleets of freezer-trawlers and freezer-longliners in Alaska. The Alternate Compliance and Safety Agreement (ACSA) set standards for vessel stability, watertight integrity, hull condition, and other critical vessel components. To determine if ACSA has been an effective primary prevention intervention for improving safety in the fishing industry, a longitudinal study was conducted using retrospective data on vessel casualties during 2003-2012. On both types of vessels, reported rates of serious vessel casualties decreased after the vessels reached compliance with ACSA requirements, suggesting that ACSA has had a positive effect on vessel safety in the freezer-trawl and freezer-longline fleets. These results support the premise that primary prevention policies can contribute to worker safety by reducing the occurrence of vessel disasters. Future USCG safety policies should be patterned after ACSA and improved by following the recommendations outlined in this study.

This study investigated the effects of visual cues, muscular fatigue, task performance and experience of working on inclined surfaces on activity of postural muscles in the lower limbs associated with maintaining balance on three inclined surfaces - 0 degrees , 14 degrees and 26 degrees . Normalised electromyographic (NEMG) data were collected in 44 professional roofers bilaterally from the rectus femoris, biceps femoris, tibialii anterior and gastrocnemii medial muscle groups. The 50th and 95th percentile NEMG amplitudes were used as EMG variables. Results showed that inclination angle and task performance caused a significant increase in the NEMG amplitudes of all postural muscles. Visual cues were significantly associated with a decrease in the 95th percentile EMG amplitude for the right gastrocnemius medial and tibialis anterior. Fatigue was related to a significant decrease in the NEMG amplitude for the rectus femoris. Experience of working on inclined surfaces did not have a significant effect on the NEMG amplitude.

BACKGROUND: Occupational exposure to extremely low frequency magnetic fields (ELF) is a suspected risk factor for brain tumours, however the literature is inconsistent. Few studies have assessed whether ELF in different time windows of exposure may be associated with specific histologic types of brain tumours. This study examines the association between ELF and brain tumours in the large-scale INTEROCC study. METHODS: Cases of adult primary glioma and meningioma were recruited in seven countries (Australia, Canada, France, Germany, Israel, New Zealand, United Kingdom) between 2000 and 2004. Estimates of mean workday ELF exposure based on a job exposure matrix assigned. Estimates of cumulative exposure, average exposure, maximum exposure, and exposure duration were calculated for the lifetime, and 1-4, 5-9, and 10+ years prior to the diagnosis/reference date. RESULTS: There were 3,761 included brain tumour cases (1,939 glioma, 1,822 meningioma) and 5,404 population controls. There was no association between lifetime cumulative ELF exposure and glioma or meningioma risk. However, there were positive associations between cumulative ELF 1-4 years prior to the diagnosis/reference date and glioma (odds ratio (OR) ≥ 90th percentile vs < 25th percentile = 1.67, 95% confidence interval (CI) 1.36-2.07, p < 0.0001 linear trend), and, somewhat weaker associations with meningioma (OR ≥ 90th percentile vs < 25th percentile = 1.23, 95% CI 0.97-1.57, p = 0.02 linear trend). CONCLUSIONS: Results showed positive associations between ELF in the recent past and glioma. IMPACT: Occupational ELF exposure may play a role in the later stages (promotion and progression) of brain tumourigenesis.

BACKGROUND: Workers onboard freezer-trawl (FT) and freezer-longline (FL) vessels in Alaska may be at high risk for fatal and non-fatal injuries. METHODS: Traumatic occupational injuries onboard vessels in the FT and FL fleets were identified through two government data sources. RESULTS: The annual risk of fatal injuries was 125 per 100,000 FTEs in the FT fleet, and 63 per 100,000 FTEs in the FL fleet. The annual risk of non-fatal injuries was 43 per 1,000 FTEs in the FT fleet and 35 per 1,000 FTEs in the FL fleet. The majority of injuries in the FT fleet occurred in the factories and freezer holds, whereas the most common injuries in the FL fleet occurred on deck while working the fishing gear. CONCLUSIONS: The findings confirmed that workers in those fleets were at high risk for work-related injuries. Injury prevention should focus on removing hazards in the work processes injuring the most workers.

Translating basic science research into population-level health benefits is a challenge in all areas of public health, including occupational safety in the fishing industry. Translational research is a process for developing evidence-based interventions and implementing them in practice. The purpose of this study was to organize the literature on occupational safety in the fishing industry within the T0-T4 phases of translational research to identify areas of strength and consensus, as well as gaps for future translational research to address. A comprehensive search of the English language literature on the topic of occupational safety in the fishing industry was completed. Scientific investigations of safety problems in the fishing industry first appeared in the literature during the 1950s. The bulk of research has focused on descriptive epidemiology in the T0 phase of translational research. A positive trend in recent studies is the growing emphasis on translational research (i.e. the T1-T4 phases). These types of studies aim to move research-to-practice by investigating potential solutions to safety problems and by developing, implementing and evaluating interventions. Recommendations for future translational research include using consistent methods of injury classification and risk analysis, developing interventions targeted at specific problems in the highest-risk fisheries, and addressing the barriers and facilitators to widespread implementation of interventions. Workplace safety in the fishing industry will improve if future research concentrates on identifying and testing promising safety measures that are effective, practical and scalable. Translational research is the key to making progress toward the prevention of work-related injuries in the fishing industry. 2013.

INTRODUCTION: The purpose of this study was to identify the predictors of personal flotation device (PFD) use among workers in the Alaska commercial fishing industry. METHODS: This study analyzed data from a questionnaire administered to fishing industry workers on four types of commercial fishing vessels in Alaska. Workers' risk perceptions of falling overboard, attitudes regarding PFDs, and other factors were compared using Chi-square tests. A forward stepwise procedure was used to fit multivariate logistic regression models predicting PFD use. RESULTS: PFD usage ranged from 0% reporting always using a PFD among longliners to 51% among trawlers. Among the statistically significant predictors of PFD use identified in multivariate models, the belief that PFDs were an entanglement hazard was inversely associated with any use of PFDs among longliners (OR 0.38; 95% CI: 0.20, 0.73) and gillnetters (OR 0.38; 95% CI: 0.19, 0.76). The belief that PFDs interfered with work was inversely associated with high use of PFDs among crabbers (OR 0.16; 95% CI: 0.06, 0.45) and with always using PFDs among trawlers (OR 0.35; 95% CI: 0.16, 0.78). Other significant predictors were specific to each vessel type. CONCLUSIONS: Interventions to increase PFD use in the fishing industry should be tailored to each vessel type and focus on addressing the significant barriers to PFD use. Workers may increase PFD usage if they are familiarized with newer PFDs that have been tested and accepted by their peers.