Thin seams and small mines are associated with higher exposures to respirable crystalline silica in US underground coal mines.

OBJECTIVES: Previous radiologic and histopathologic studies suggest respirable crystalline silica (RCS) overexposure has been driving the resurgence of pneumoconiosis among contemporary US coal miners, with a higher prevalence of severe disease in Central Appalachia. We sought to better understand RCS exposure among US underground coal miners. METHODS: We analysed RCS levels, as measured by respirable quartz, from coal mine dust compliance data from 1982 to 2021. RESULTS: We analysed 322 919 respirable quartz samples from 5064 US underground coal mines. Mean mine-level respirable quartz percentage and mass concentrations were consistently higher for Central Appalachian mines than the rest of the USA. Mean mine-level respirable quartz mass concentrations decreased significantly over time, from 0.116 mg/m3 in 1982 to as low as 0.017 mg/m3 for Central Appalachian mines, and from 0.089 mg/m3 in 1983 to 0.015 mg/m3 in 2020 for the rest of the USA. Smaller mine size, location in Central Appalachia, lack of mine safety committee and thinner coal seams were predictive of higher respirable quartz mass concentrations. CONCLUSIONS: These data substantially support the association between RCS overexposure and the resurgence of coal workers' pneumoconiosis in the USA, particularly in smaller mines in Central Appalachia.

Work-related crashes in rideshare drivers in the United States.

INTRODUCTION: Motor vehicle crashes (MVCs) are the leading cause of work-related deaths in the United States. The increasing popularity of the competitive rideshare market and the lack of oversight over workforce health and safety limits understanding of the current occupational hazards and associated risk factors faced by this precarious workforce. The objective of this analysis was to determine what the personal, social and occupational risk factors for work-related crashes in rideshare drivers are in the United States and suggest further research required to understand occupational health risks and opportunities for interventions. MATERIAL AND METHODS: We conducted a survey of a convenience sample of rideshare and taxi drivers using an online questionnaire. Rideshare respondents (n = 277) were recruited through an email that was distributed to people who subscribe to TheRideshareGuy.com. We examined the general characteristics of rideshare drivers by history of work-related MVCs and logistic regression models were used to determine major predictors of MVCs. RESULTS: Of 276 rideshare drivers that reported their crash history, one-third (n = 91, 33%) reported being involved in a work-related crash. Results from a multivariable logistic regression model showed rideshare MVCs were more likely in older drivers (aOR for 10 year increases in age, 1.55, p = 0.001), if drivers undertook 10 or more rideshare trips per day (aOR 1.84, p = 0.041), frequently or very frequently were driving on unfamiliar roads (aOR 1.72, p = 0.048) and driving whilst tired (aOR 3.03, p = 0.003). CONCLUSION: Precarious workers and health and safety is emerging as a major area of research focus. There is a unique opportunity to explore the occupational health risks in rideshare drivers to provide interventions that encourage growth of a healthy and fit rideshare workforce and promote work practices and future regulations aimed at improving safe work practices. PRACTICAL APPLICATIONS: This analysis paints a complex picture of personal and occupational factors that are associated with MVCs in rideshare drivers suggesting that additional policy development related to occupational health and safety of rideshare drivers could be constructive.

Resting diffusing capacity and severity of radiographic disease predict gas exchange abnormalities with exercise in former US coal miners.

BACKGROUND: The US Department of Labor (DOL) does not fund diffusing capacity (DLCO) or metabolic measurements from cardiopulmonary exercise testing (CPET) for coal miners' disability evaluations. Although exercise arterial blood gas testing is covered, many miners are unable to perform maximal tests, and sampling at peak exercise can be challenging. We explored the relationship between resting DLCO, radiographic disease severity, and CPET abnormalities in former US coal miners. METHODS: We analyzed data from miners evaluated between 2005 and 2015. Multivariable linear and logistic regression analyses were used to examine relationships between percent predicted (pp) forced expiratory volume in 1 s (FEV1pp), DLCOpp, VO2maxpp, A-a oxygen gradient (A-a)pp, dead space fraction (Vd/Vt), disabling oxygen tension (PO2), and radiographic findings of pneumoconiosis. RESULTS: Data from 2015 male coal miners was analyzed. Mean tenure was 28 years (SD 8.6). Thirty-twopercent had an abnormal A-a gradient (>150 pp), 20% had elevated Vd/Vt (>0.33), and 34% a VO2max < 60 pp. DLCOpp strongly predicted a disabling PO2, with an odds ratio (OR) of 2.33 [2.09-2.60], compared to 1.18 [1.08-1.29] for FEV1. Each increase in subcategory of small opacity (simple) pneumoconiosis increased the odds of a disabling PO2 by 42% [1.29-1.57], controlling for age, body mass index, pack-years of tobacco smoke exposure, and years of coal mine employment. CONCLUSIONS: DLCO is the best resting pulmonary function test predictor of CPET abnormalities. Radiographic severity of pneumoconiosis was also associated with CPET abnormalities. These findings support funding DLCO testing for impairment and suggest the term "small opacity" should replace "simple" pneumoconiosis to reflect significant associations with impairment.

Measuring lung diffusing capacity: an opportunity for improved medical surveillance and disability evaluation of coal miners.

OBJECTIVES: Spirometry is the primary lung function test utilised for medical surveillance and disability examination for coal mine dust lung disease. However, spirometry likely underestimates physiologic impairment. We sought to characterise abnormalities of single-breath diffusing capacity for carbon monoxide (DLCO) among a population of former coal miners. METHODS: Data from 3115 former coal miners evaluated at a West Virginia black lung clinic between 2006 and 2015 were retrospectively analysed to study the association between diffusion impairment (abnormally low DLCO), resting spirometry and the presence and severity of coal workers' pneumoconiosis on chest radiography. We developed ordinary least squares linear regression models to evaluate factors associated with per cent predicted DLCO (DLCOpp). RESULTS: Diffusion impairment was identified in 20.2% of subjects. Ten per cent of all miners with normal spirometry had diffusion impairment including 7.4% of never smokers. The prevalence of diffusion impairment increased with worsening radiographic category of pneumoconiosis. Mean DLCOpp decreased with increasing small opacity profusion subcategory in miners without progressive massive fibrosis. Linear regression analysis also showed significant decreases in DLCOpp with increasing small opacity profusion and presence of large opacities. CONCLUSIONS: Diffusion impairment is common among former coal miners, including among never smokers, miners without radiographic pneumoconiosis and miners with normal spirometry. These findings demonstrate the value of including DLCO testing in disability examinations of former coal miners and an important role for its use in medical surveillance of working miners to detect early chronic lung disease.

Relationship between Civilian Injuries Caused during Contact with Law Enforcement and Community-Level Sociodemographic Characteristics.

Civilian injuries caused during contact with law enforcement personnel erode community trust in policing, impact individual well-being, and exacerbate existing health inequities. We assessed the relationship between ZIP code-level rates of civilian injuries caused during legal interventions and community-level sociodemographic characteristics using Illinois hospital data from 2016 to 2022. We developed multivariable Poisson regression models to examine whether legal intervention injury rates differed by race-ethnicity and community economic disadvantage across three geographic regions of Illinois representing different levels of urbanization. Over the study period, 4976 civilian injuries were treated in Illinois hospitals (rate of 5.6 per 100,000 residents). Compared to non-Hispanic white residents, non-Hispanic Black residents demonstrated 5.5-10.5 times higher injury rates across the three geographic regions, and Hispanic-Latino residents demonstrated higher rates in Chicago and suburban Cook County, but lower rates in the rest of the state. In most regions, models showed that as the percent of minority residents in a ZIP code increased, injury rates among non-Hispanic Black and Hispanic-Latino residents decreased. As community economic disadvantage increased at the ZIP code level, civilian injury rates increased. Communities with the highest injury rates involving non-Hispanic white residents were significantly more economically unequal and disadvantaged. While the injury rates were consistently and substantially higher among non-Hispanic Black residents throughout the state, the findings illustrate that the association between overall civilian injuries caused during contact with law enforcement and community sociodemographic characteristics varied across regions. Data on local law enforcement agency policies and procedures are needed to better identify appropriate interventions.

Risk factors associated with indicators of dehydration among migrant farmworkers.

OBJECTIVE: Farmworkers are at increased risk of adverse health outcomes related to occupational heat exposure and inadequate access to water, shade, or rest breaks. Presently, there is a dearth of studies examining the prevalence of dehydration and related factors in U.S. farmworkers. Our objectives were to characterize hydration status during typical workdays and to identify risk factors associated with increased dehydration in migrant farmworkers employed in Florida. METHODS: Urine samples were collected and analyzed for urine specific gravity (USG) 2-3 times per person per day over five days in May 2021 and 2022. Data collection included demographic characteristics, wet-bulb-globe-temperature (WBGT), and information on working conditions (task type, duration, and crop units harvested), fluid intake, clothing worn, and heat safety behaviors. Multivariable mixed regression models were used to evaluate risk factors associated with change in USG levels (continuous) during a work shift. RESULTS: A total of 111 farmworkers participated in this study providing 1020 cumulative USG measurements, of which 96.8% of end-of-shift USG samples were above 1.020 indicating potential dehydration. In multivariable models, dehydration assessed using change in USG levels significantly declined with age (ß = -0.078; 95%CI: 0.150, -0.006) but showed significant increase with body mass index (ß = 0.016; 95%CI: 0.003, 0.028), WGBT (ß = 0.054; 95%CI:0.044, 0.064), mean shift duration, and state of primary residence. We did not find significant associations of dehydration with type of clothing worn, intake of employer-provided water, or crop units harvested during a shift in this sample of farmworkers. CONCLUSION: Our findings underscore the need for additional research to evaluate adverse outcomes related to dehydration and to better understand recovery patterns from chronic dehydration across workweeks and harvest seasons in migrant farmworkers.

Trends in non-fatal and fatal opioid overdoses during the first two years of the coronavirus disease-2019 pandemic.

PURPOSE: This study assessed opioid-involved overdose rates by age, sex, and race-ethnicity across strict pandemic mitigation phases and how this varied across data systems. METHODS: We examined opioid-involved overdoses using medical examiner and hospital data for Cook County, Illinois between 2016-2021. Multivariable segmented regression was used to assess weekly overdose rates across subgroups of age, sex and race/ethnicity and strict pandemic mitigation phases. RESULTS: The overall rate of weekly opioid-involved overdoses increased when assessing the medical examiner (ß = 0.01; 95% CI = 0.01,0.02; P ≤ .001) and emergency department visits data sources (ß = 0.15; 95% CI = 0.09,0.20; P ≤ .001) but not for the hospital admissions data source. We found differences in overdose rates across subgroups and phases of pandemic mandates. Fatal overdoses increased during lockdown-1 while admissions and emergency department (ED) visits for opioid-involved overdoses generally decreased across all phases of pandemic mitigation mandates except for the period following lockdown-1. Across pandemic mitigation phases, Hispanics and individuals under 25 years did not demonstrate any change in admissions and ED visits for overdoses. CONCLUSIONS: We underscore the importance of utilizing multiple sources of surveillance to better characterize opioid-involved overdoses and for public health planning.

What can entropy metrics tell us about the characteristics of ocular fixation trajectories?

In this study, we provide a detailed analysis of entropy measures calculated for fixation eye movement trajectories from the three different datasets. We employed six key metrics (Fuzzy, Increment, Sample, Gridded Distribution, Phase, and Spectral Entropies). We calculate these six metrics on three sets of fixations: (1) fixations from the GazeCom dataset, (2) fixations from what we refer to as the "Lund" dataset, and (3) fixations from our own research laboratory ("OK Lab" dataset). For each entropy measure, for each dataset, we closely examined the 36 fixations with the highest entropy and the 36 fixations with the lowest entropy. From this, it was clear that the nature of the information from our entropy metrics depended on which dataset was evaluated. These entropy metrics found various types of misclassified fixations in the GazeCom dataset. Two entropy metrics also detected fixation with substantial linear drift. For the Lund dataset, the only finding was that low spectral entropy was associated with what we call "bumpy" fixations. These are fixations with low-frequency oscillations. For the OK Lab dataset, three entropies found fixations with high-frequency noise which probably represent ocular microtremor. In this dataset, one entropy found fixations with linear drift. The between-dataset results are discussed in terms of the number of fixations in each dataset, the different eye movement stimuli employed, and the method of eye movement classification.

Injuries Among Hispanic/Latinx Agricultural Workers Seen in Illinois Hospitals.

OBJECTIVE: Agriculture is a dangerous industry, with evidence indicating a disproportionate burden among Hispanic/Latinx workers. There is a need to expand the utilization of different data systems to improve the surveillance of precarious workers within agriculture. This analysis describes inclusion criteria to identify farm-related injuries and illnesses in hospital data utilizing ICD-10 codes to better assess health equity issues involving Hispanic/Latinx workers and their associated costs. METHODS: Discharge data of agriculture-related injuries and illnesses treated in Illinois hospitals and emergency departments from 2018 to 2021 were extracted using ICD-10 diagnosis and location of injury codes. Injury cause, nature, severity, and course of clinical care are stratified by ethnicity. Multivariable models were developed to assess differences in injury severity, level of care required, and cost of care. RESULTS: We identified 3,745 farm-related injuries and illnesses treated in Illinois hospitals between 2018 and 2021, of which 196 involved Hispanic/Latinx individuals. Hispanic/Latinx patients were substantially younger and disproportionately covered by workers' compensation insurance or uninsured. Compared to non-Hispanic/Latinx individuals, Hispanic/Latinx patients suffered injuries from different mechanisms, particularly involving animals and cutting/piercing instruments. While non-Hispanic/Latinx individuals demonstrated more severe injuries based on the descriptive statistics, after controlling for confounding (particularly age), we did not observe ethnic disparities in injury severity or level of care required. However, the cost of care was equivalent to or higher among Hispanic/Latinx persons. CONCLUSION: The case definition used for this analysis identified agriculture-related cases and provided insights on the course of clinical care by ethnicity. This strategy would likely yield valuable information in states with larger and more diverse agricultural workforces. More targeted research to appropriately scope the issue and inform interventions is needed to understand differential exposure and reduce agricultural workplace hazards and address the financial burden resulting from farm-related injuries.

Disparities in fatal and non-fatal opioid-involved overdoses among middle-aged non-Hispanic Black Men and Women.

The gap in fatal opioid overdose rates has been closing between non-Hispanic Black and non-Hispanic White individuals. The rising opioid-involved mortality rates among non-Hispanic Black adults has been identified by SAMHSA as a critical public health issue. However, further research is needed that utilizes comprehensive surveillance data on both fatal and non-fatal opioid-involved overdoses to better assess the changing trends and evaluate factors contributing to changing disparities. We conducted an analysis of medical examiner and hospital data for years 2016-2021 from the largest county in Illinois (Cook) to (1) evaluate disparities in non-fatal and fatal opioid-involved overdoses between middle-aged non-Hispanic Black adults and Black adults of other age groups stratified by sex, (2) to assess if disparities exist across middle-aged adults of different race-ethnicities specifically non-Hispanic White and Hispanic-Latino adults, and (3) evaluate factors contributing to the disparities. Fatal opioid overdose rates among middle-aged Black men 45-64 years old were on average 5.3 times higher than Black men of other age groups, and 6.2 times higher than middle-aged non-Black men. Similarly, fatal opioid overdose rates among middle-aged Black women were on average 5.0 times higher than Black women of other age groups, and 4.9 times higher than middle-aged non-Black women. Hospital utilization rates for opioid-involved overdoses showed similar disparities between age groups and race-ethnicities. Findings indicate that stark disparities in rates of opioid-involved overdoses among middle-aged Black men and women are likely attributed to exposure to more lethal opioids, drug variability in local markets, differences in concurrent drug exposures, and lower access to harm reduction, emergent and preventative health services.

Hydrogen Bonding Compensation on the Convex Solvent-Exposed Helical Face of IA3, an Intrinsically Disordered Protein.

Saccharomyces cerevisiae IA3 is a 68 amino acid peptide inhibitor of yeast proteinase A (YPRA) characterized as a random coil when in solution, folding into an N-terminal amphipathic alpha helix for residues 2-32 when bound to YPRA, with residues 33-68 unresolved in the crystal complex. Circular dichroism (CD) spectroscopy results show that amino acid substitutions that remove hydrogen-bonding interactions observed within the hydrophilic face of the N-terminal domain (NTD) of IA3-YPRA crystal complex reduce the 2,2,2-trifluoroethanol (TFE)-induced helical transition in solution. Although nearly all substitutions decreased TFE-induced helicity compared to wild-type (WT), each construct did retain helical character in the presence of 30% (v/v) TFE and retained disorder in the absence of TFE. The NTDs of 8 different Saccharomyces species have nearly identical amino acid sequences, indicating that the NTD of IA3 may be highly evolved to adopt a helical fold when bound to YPRA and in the presence of TFE but remain unstructured in solution. Only one natural amino acid substitution explored within the solvent-exposed face of the NTD of IA3 induced TFE-helicity greater than the WT sequence. However, chemical modification of a cysteine by a nitroxide spin label that contains an acetamide side chain did enhance TFE-induced helicity. This finding suggests that non-natural amino acids that can increase hydrogen bonding or alter hydration through side-chain interactions may be important to consider when rationally designing intrinsically disordered proteins (IDPs) with varied biotechnological applications.

Poor adherence to dust, noise and safety regulations predict injury rates in underground coal mines.

BACKGROUND: While safety in US coal mining has improved over the past two decades, general occupational health research shows that risk of injury varies across individual worksites and is influenced by worksite safety cultures and practices. METHODS: In this longitudinal study, we evaluated whether mine-level characteristics reflecting poor adherence to health and safety regulations in underground coal mines are associated with higher acute injury rates. We aggregated Mine Safety and Health Administration (MSHA) data by year for each underground coal mine for the period 2000-2019. Data included part-50 injuries, mine characteristics, employment and production, dust sampling, noise sampling, and violations. Multivariable hierarchical generalised estimating equations (GEE) models were developed. RESULTS: Based on the final GEE model, despite an average annual decline in injury rates by 5.5%, the following indicators of inadequate adherence to health and safety regulations were associated with increased average annual injury rates: +2.9% for each 10% increase in dust samples exceeding the permissible exposure limit; +0.6% for each 10% increase of permitted 90 dBA 8-hour noise exposure dose; +2.0% for every 10 substantial-significant MSHA violations in a year; +1.8% for each rescue/recovery procedure violation; +2.6% for each safeguard violation. If a fatality occurred in a mine, injury rates increased by 11.9% in the same year, but declined by 10.4% in the following year. The presence of safety committees was associated with a 14.5% decline in injury rates. DISCUSSION: In US underground coal mines, injury rates are associated with poor adherence to dust, noise and safety regulations.

GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality.

We present GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking (ET) dataset collected at 250 Hz with an ET-enabled virtual-reality (VR) headset. GazeBaseVR comprises 5,020 binocular recordings from a diverse population of 407 college-aged participants. Participants were recorded up to six times each over a 26-month period, each time performing a series of five different ET tasks: (1) a vergence task, (2) a horizontal smooth pursuit task, (3) a video-viewing task, (4) a self-paced reading task, and (5) a random oblique saccade task. Many of these participants have also been recorded for two previously published datasets with different ET devices, and 11 participants were recorded before and after COVID-19 infection and recovery. GazeBaseVR is suitable for a wide range of research on ET data in VR devices, especially eye movement biometrics due to its large population and longitudinal nature. In addition to ET data, additional participant details are provided to enable further research on topics such as fairness.

Trends in assault-related hospitalizations during the SARS-CoV-2 pandemic.

INTRODUCTION: Violence remains a priority issue in the United States (US) requiring public health input to discern the magnitude and impact of violence on the health system. Concerns over violence and the injuries resulting from violence have increased following the SARS-CoV-2 pandemic which exacerbated an array of individual and economic stressors related to violence including increased unemployment, alcohol intake, social isolation, anxiety and panic and decreased access to health services. The aim of this study was to analyze the trends in violence-related injuries in the state of Illinois during the SARS-CoV-2 lockdown periods and post-lockdown in order to inform future public health policy. MATERIAL AND METHODS: Outpatient and inpatient assault related injuries treated in Illinois hospitals from 2016 through March 2022 were analyzed. Segmented regression models evaluating change in time trends were adjusted for seasonality, serial correlation, overall trend and economic variables. RESULTS: The annual rate of assault related hospitalizations per one million Illinois residents decreased from 3857.8 pre-pandemic to 3458.7 pandemic period. However, during the pandemic there was an increase in deaths and in the proportion of injuries involving open wounds, internal injuries, and fractures, while there was a reduction in less serious injuries. Segmented regression time series models demonstrated significant increase in firearm violence in all four pandemic periods examined. Firearm violence increased particularly in subgroups including African-American victims, 15-34-year-olds, and Chicago residents. CONCLUSION: During SARS-CoV-2, we saw an overall reduction in assault related hospitalization, however, findings demonstrated an increase in serious injuries which may be associated with social and economic stressors of the pandemic, increased gun-violence while decrease in less serious injuries may be linked to hospital avoidance for non-lethal injuries during the peak waves of the pandemic. Our findings have implications for ongoing surveillance, service planning and management of the increased gunshot and penetrating assault cases and further demonstrate the need for public health input into the violence epidemic in the US.

Increased odds of mortality from non-malignant respiratory disease and lung cancer are highest among US coal miners born after 1939.

OBJECTIVES: Coal miners suffer increased mortality from non-malignant respiratory diseases (NMRD), including pneumoconioses and chronic obstructive pulmonary disease, compared with the US population. We characterised mortality trends from NMRD, lung cancer and ischaemic heart disease (IHD) using data from the Federal Black Lung Program, National Coal Workers' Health Surveillance Program and the National Death Index. METHODS: We compared mortality ORs (MORs) for NMRD, lung cancer and IHD in former US coal miners to US white males. MORs were computed for the study period 1979-2017 by birth cohort (<1920, 1920-1929, 1930-1939, ≥1940), with a subanalysis restricted to Central Appalachia. RESULTS: The study population totalled 235 550 deceased miners, aged >45 years. Odds of death from NMRD and lung cancer across all miner birth cohorts averaged twice those of US males. In Central Appalachia, MORs significantly increased across birth cohorts. There was an eightfold increase in odds of death from NMRD among miners born after 1940 (MORBC≥1940 8.25; 95% CI 7.67 to 8.87). Miners with progressive massive fibrosis (PMF) were younger at death than those without PMF (74 vs 78 years; p<0.0001). We observed a pattern of reduced MORs from IHD in coal miners compared with national and regional counterparts. CONCLUSION: US coal miners have excess mortality from NMRD and lung cancer compared with total US and Appalachian populations. Mortality is highest in the most recent birth cohorts, perhaps reflecting increased rates of severe pneumoconiosis.

Factors affecting inter-rater agreement in human classification of eye movements: a comparison of three datasets.

Manual classification of eye-movements is used in research and as a basis for comparison with automatic algorithms in the development phase. However, human classification will not be useful if it is unreliable and unrepeatable. Therefore, it is important to know what factors might influence and enhance the accuracy and reliability of human classification of eye-movements. In this report we compare three datasets of human manual classification, two from earlier datasets and one, our own dataset, which we present here for the first time. For inter-rater reliability, we assess both the event-level F1-score and sample-level Cohen's κ, across groups of raters. The report points to several possible influences on human classification reliability: eye-tracker quality, use of head restraint, characteristics of the recorded subjects, the availability of detailed scoring rules, and the characteristics and training of the raters.

Description of Opioid-involved Hospital Deaths that Do Not Have a Subsequent Autopsy.

BACKGROUND: Surveillance systems rely on death records to monitor the most severe outcome of the opioid epidemic. However, few studies have linked data from hospital systems with death records to determine potential undercount of opioid-involved deaths occurring in hospitals. This study describes characteristics of decedents less likely to have an autopsy following an opioid-involved death in hospitals and estimates the resulting undercount. METHODS: A probabilistic data linkage of hospital and medical examiner data involving 4,936 opioid-involved deaths among residents of Cook County, Illinois, US from 2016 to 2019. We included only hospital deaths that met a national case definition and presented with clinical signs of opioid overdose. RESULTS: Decedents had higher odds of not having an autopsy if they were 50+ years, admitted to the hospital (aOR = 3.7: 2.1, 6.5), hospitalized for 4+ days (aOR = 2.2: 1.5, 3.1), and had a comorbid diagnosis of malignant cancer (aOR = 4.3: 1.8, 10.1). However, decedents exposed to heroin and synthetic opioids (aOR = 0.39: 0.28, 0.55), and concurrent exposure to stimulants (aOR = 0.44: 0.31, 0.64) were more likely to have an autopsy). Compared to estimates from the US Centers for Disease Control and Prevention (CDC), we observed undercounts of opioid overdose deaths ranging from 6% to 15%. CONCLUSIONS: Surveillance systems may undercount decedents that do not meet the typical profile of those more likely to have an autopsy, particularly older patients with chronic health conditions. Our undercount estimate likely exists in addition to the estimated 20%-40% undercount reported elsewhere. See video abstract at, http://links.lww.com/EDE/B990 .

Systematic scoping review of occupational health injuries and illnesses among Indigenous workers.

Indigenous populations in the USA, Australia, New Zealand (NZ) and Canada total more than 13 million, but continue to be marginalised in their respective regions. The goal of this comprehensive review of all studies evaluating adverse occupational health outcomes among Indigenous populations in these countries was to identify gaps in the literature and future research directions. A systematic scoping review of research published between 1970 and 2020 was undertaken using the methodological framework initially proposed by Arksey and O'Malley. Country, Indigenous participants, study type, exposure, adverse health outcome, occupation and industry were identified for each paper. Of the 1272 research papers identified, only 51 articles met the inclusion criteria of this scoping review. Almost half of the studies (n=24, 47.1%) were published after 2010. Only 13 (25.5%) studies specifically focused on Indigenous persons at the time of the study design, and less than half of the studies (47.1%) included more than 100 Indigenous participants. Most studies used the following general terms without mention of specific indigenous groups: Indigenous (Australia), Maori (NZ), Aboriginal (Canada) and American Indian or Alaskan Native (USA). Only one study acknowledged asking respondents their preferred terminology. Over the past 50 years, there has been a paucity of research directly or indirectly evaluating occupational health outcomes of Indigenous populations in these four countries. There is a need for better sampling strategies and inclusion of demographic questions that capture Indigenous status in surveys, workers' compensation data and other commonly used data sources to develop adequate baseline data for targeted future interventions.

Barriers and Facilitators of Implementing Injury Prevention Practices by Massage Therapists.

OBJECTIVE: Massage therapy involves pervasive ergonomic hazards with the majority of massage therapists (MTs) experiencing adverse musculoskeletal health issues. A variety of barriers and facilitators exist that can impact the efficacy of safety programs. METHODS: A longitudinal study to characterize individual and organizational barriers and facilitators that influence the implementation of self-care techniques designed to reduce musculoskeletal health issues. RESULTS: MTs who reported time as abarrier implemented 0.9 fewer selfcare items despite wanting to make these changes (P  = 0.003) and 1.4 fewer self-care items when management was identified as a barrier (P < 0.001). Almost 20% of the MTs reported switching jobs which was associated with implementing 1.1 fewer self-care items (P = 0.002). CONCLUSIONS: Our findings show that organizational factors plays a critical role in workplace safety which can be used to improve working conditions faced by MTs.

Prevalence and severity of abnormal lung function among US former coal miners with and without radiographic coal workers' pneumoconiosis.

OBJECTIVES: Examination of lung function abnormalities among coal miners has historically focused on actively working miners. This likely underestimates the true burden of chronic respiratory disease. The objective of this study was to characterise patterns and severity of lung function impairment among a population of former coal miners. METHODS: Cross-sectional data from 2568 former coal miners evaluated at eight US Black Lung clinics in a 12-month period were retrospectively analysed for patterns of prebronchodilator spirometric abnormality and severity of lung function impairment. Spirometry data from a subset of former miners with chest radiographs were analysed based on the presence and severity of coal workers' pneumoconiosis (CWP). RESULTS: Abnormal spirometry was identified in 56.6% of subjects. The age-standardised prevalence of airflow obstruction among miners aged ≥45 years was 18.9% overall and 12.2% among never smokers. Among 1624 subjects who underwent chest radiography, the prevalence and severity of abnormal spirometry increased with worsening radiographic category for pneumoconiosis. Of never-smoking former miners without radiographic CWP, 39.0% had abnormal spirometry; 25.1% had abnormally low forced expiratory volume in 1 s (FEV1), and 17.1% had moderate to severe FEV1 impairment. CONCLUSIONS: Abnormal spirometry is common among former coal miners. While ever-smoking former miners had higher rates of airflow obstruction, never-smoking former miners also demonstrated clinically significant airflow obstruction, including those without radiographic pneumoconiosis. These findings demonstrate the importance of recognising physiological as well as imaging manifestations of coal mine dust lung diseases in former miners.