A blueprint for a new commercial driving epidemiology: An emerging paradigm grounded in integrative exposome and network epistemologies.

Excess health and safety risks of commercial drivers are largely determined by, embedded in, or operate as complex, dynamic, and randomly determined systems with interacting parts. Yet, prevailing epidemiology is entrenched in narrow, deterministic, and static exposure-response frameworks along with ensuing inadequate data and limiting methods, thereby perpetuating an incomplete understanding of commercial drivers' health and safety risks. This paper is grounded in our ongoing research that conceptualizes health and safety challenges of working people as multilayered "wholes" of interacting work and nonwork factors, exemplified by complex-systems epistemologies. Building upon and expanding these assumptions, herein we: (a) discuss how insights from integrative exposome and network-science-based frameworks can enhance our understanding of commercial drivers' chronic disease and injury burden; (b) introduce the "working life exposome of commercial driving" (WLE-CD)-an array of multifactorial and interdependent work and nonwork exposures and associated biological responses that concurrently or sequentially impact commercial drivers' health and safety during and beyond their work tenure; (c) conceptualize commercial drivers' health and safety risks as multilayered networks centered on the WLE-CD and network relational patterns and topological properties-that is, arrangement, connections, and relationships among network components-that largely govern risk dynamics; and (d) elucidate how integrative exposome and network-science-based innovations can contribute to a more comprehensive understanding of commercial drivers' chronic disease and injury risk dynamics. Development, validation, and proliferation of this emerging discourse can move commercial driving epidemiology to the frontier of science with implications for policy, action, other working populations, and population health at large.

Integrating complex systems science into road safety research and practice, part 1: review of formative concepts.

Many of our most persistent public health problems are complex problems. They arise from a web of factors that interact and change over time and may exhibit resistance to intervention efforts. The domain of systems science provides several tools to help injury prevention researchers and practitioners examine deep, complex and persistent problems and identify opportunities to intervene. Using the increase in pedestrian death rates as an example, we provide (1) an accessible overview of how complex systems science approaches can augment established injury prevention frameworks and (2) a straightforward example of how specific systems science tools can deepen understanding, with a goal of ultimately informing action.

A novel COVID-19 based truck driver syndemic? Implications for public health, safety, and vital supply chains.

U.S. long-haul truck drivers traverse great distances and interact with numerous individuals, rendering them vulnerable to acquiring and transmitting coronavirus disease 2019 (COVID-19). Together, the unique co-occurrence of pronounced health disparities and known COVID-19 infection, morbidity, and mortality risks suggest the possibility of a novel COVID-19 based truck driver syndemic due to advanced driver age and endemic health issues. In turn, COVID-19 sequelae may perpetuate existing health disparities. The co-occurrence of afflictions may also result in compromised safety performance. To curb the likelihood of a COVID-19 based truck driver syndemic, several action stepsare needed. First, key COVID-19 metrics need to be established for this population. Second, relationships between long-haul trucker network attributes and COVID-19 spread need to bedelineated. Third, mutually reinforcing interactions between endemic health disparities and COVID-19 vulnerability need to be elucidated. Finally, grounded in the aforementioned steps, policies and interventions need to be identified and implemented.

Embracing Causal Complexity in Health Disparities: Metabolic Syndemics and Structural Prevention in Rural Minority Communities.

Chronic discrimination and associated socioeconomic inequalities have shaped the health and well-being of Black Americans. As a consequence of the intersection of these factors with rural deprivation, rural Black Americans live and work in particularly pathogenic environments that generate disproportionate and interacting chronic comorbidities (syndemics) compared to their White and/or urban counterparts. Traditional prevention research has been unable to fully capture the underlying complexity of rural minority health and has generated mostly low-leverage interventions that have failed to reverse adverse metabolic outcomes among rural Black Americans. In contrast, novel research approaches-such as system dynamics modeling-that seek to understand holistic system structure and determine complex health outcomes over time provide a robust framework to develop a more accurate understanding of the key factors contributing to type 2 diabetes. This framework can then be used to establish more efficacious interventions to address disparities among minorities in rural areas. This paper advocates for a unified complex systems epistemology and methodology in advancing rural minority health disparities research. Toward this goal, we (1) provide an overview of rural Black American metabolic health research, (2) introduce a complex systems framework in rural minority health disparities research, and (3) demonstrate how community-based system dynamics modeling and simulation can help us plow new ground in rural minority health disparities research and action. We anticipate that this paper can serve as a catalyst for a long-overdue discourse on the relevance of complex systems approaches in minority health research, with practical benefits for numerous disproportionately burdened communities.

Obesity indices are predictive of elevated C-reactive protein in long-haul truck drivers.

BACKGROUND: Obesity rates in long-haul truck drivers have been shown to be significantly higher than the general population. We hypothesized that commercial drivers with the highest levels of general obesity and abdominal adiposity would have higher concentrations of high sensitivity C-reactive protein (CRP), a marker of inflammation. METHODS: Survey and anthropometric data were collected from 262 commercial drivers. Weight, circumference measures, and blood analysis for CRP (N = 115) were conducted and compared to National Health and Nutrition Examination Survey (NHANES) data. CRP values were non-normally distributed and logarithmically transformed for statistical analyses. RESULTS: BMI, waist circumference, sagittal abdominal diameter, and CRP were significantly higher than in the general population. Anthropometric indices that included height (BMI, waist-to-height ratio, and sagittal diameter-to-height ratio), were most predictive of CRP values. CONCLUSIONS: Abdominal obesity is prevalent in commercial vehicle drivers and is an important indicator of the presence of inflammation in this population. Am. J. Ind. Med. 59:665-675, 2016. © 2016 Wiley Periodicals, Inc.

The indispensable whole of work and population health: How the working life exposome can advance empirical research, policy, and action.

OBJECTIVES: The thesis of this paper is that health and safety challenges of working people can only be fully understood by examining them as wholes with interacting parts. This paper unravels this indispensable whole by introducing the working life exposome and elucidating how associated epistemologies and methodologies can enhance empirical research. METHODS: Network and population health scientists have initiated an ongoing discourse on the state of empirical work-health-safety-well-being research. RESULTS: Empirical research has not fully captured the totality and complexity of multiple and interacting work and nonwork factors defining the health of working people over their life course. We challenge the prevailing paradigm by proposing to expand it from narrow work-related exposures and associated monocausal frameworks to the holistic study of work and population health grounded in complexity and exposome sciences. Health challenges of working people are determined by, embedded in, and/or operate as complex systems comprised of multilayered and interdependent components. One can identify many potentially causal factors as sufficient and component causes where removal of one or more of these can impact disease progression. We, therefore, cannot effectively study them by an a priori determination of a set of components and/or properties to be examined separately and then recombine partial approaches, attempting to form a picture of the whole. Instead, we must examine these challenges as wholes from the start, with an emphasis on interactions among their multifactorial components and their emergent properties. Despite various challenges, working-life-exposome-grounded frameworks and associated innovations have the potential to accomplish that. CONCLUSIONS: This emerging paradigm shift can move empirical work-health-safety-well-being research to cutting-edge science and enable more impactful policies and actions.

Sexual mixing, drug exchanges, and infection risk among long-haul truck drivers.

Despite extensive anecdotal evidence on US long-haul truckers' risk interactions on the road, links between their sexual mixing and drug exchanges and their potential risk for STI/BBI acquisition and dissemination remain insufficiently documented. Grounded in social ecological theories and multi method ethnographic data, this paper examines the sexual transactions and drug exchanges of key members of US trucker risk networks within diverse trucking milieux. Research has uncovered four key trucker-centered populations and their diverse risk exchanges: (a) straight male truckers who engage in casual sex with women; (b) female sexworkers (known as "lot lizards") who solicit truckers; (c) intermediaries who broker sex and drug exchanges between truckers, drug dealers and sexworkers; and (d) male truckchasers who cruise for truckers in physical and virtual milieux to engage in sex. Concurrent sexual partnerships of truckers have the potential to amplify initial infections by linking individuals of disparate epidemiological settings, thereby enabling pathogens to travel rapidly and efficiently to disparate regions. The comprehensive delineation of the role of long-haul trucking in potential disease spread is required for the development of effective STI/HIV prevention programs for populations of interest.

Work Challenges and Health of Immigrant Hotel Housekeepers: Part 2.

BACKGROUND: Hotel housekeepers' major responsibility is to perform cleaning tasks. In the course of performing their duties, hotel housekeepers are disproportionately exposed to multiple workplace hazards (i.e., physical, chemical, biological, and psychosocial hazards) that put them at risk of adverse health consequences. This study aims to discover the occupational and health challenges encountered by immigrant hotel housekeepers in Orlando, Florida, and help hotel management to develop strategies to improve their occupational health. METHODS: This study adopted an interviewer-administered survey method for data collection. Data were collected from members of the United Here Union, Local 7373 in Orlando, Florida. Trained Spanish-English bilingual associates of the Union administered the surveys through interviews with participants. Descriptive statistics and stepwise multiple regression were employed to analyze data (n = 140) using SPSS 22. FINDINGS: This study shows that Florida hotel housekeepers participating in this study worked under great time pressures, endured excessive workloads, did not have enough time to rest and recover, and often skipped or shortened lunch breaks. Participants believed that their employers valued work productivity more than their safety and health. More than half of the respondents experienced racial discrimination at their workplaces. CONCLUSION/APPLICATION TO PRACTICE: The article brings an important contribution to the awareness of housekeepers' feelings toward their work and the need for effective safety and health policies and programs.

Trucking organization and mental health disorders of truck drivers.

There are over 3 million truck drivers employed in the commercial transportation and material moving occupations, one of the largest occupational groups in the United States. Workers in this large and growing occupational segment are at risk for a range of occupational health-induced conditions, including mental health and psychiatric disorders due to high occupational stress, low access and use of health care, and limited social support. The purpose of this study was to explore male truck drivers' mental health risks and associated comorbidities, using a cross-sectional and quantitative design. Data were collected from a random sample of 316 male truckers between the ages of 23 and 76 at a large truck stop located within a 100-mile radius of Greensboro, North Carolina, USA, using a self-administered 82-item questionnaire. Surveyed truckers were found to have significant issues affecting their mental health, such as loneliness (27.9%), depression (26.9%), chronic sleep disturbances (20.6%), anxiety (14.5%), and other emotional problems (13%). Findings have potential to help researchers develop interventions to improve the emotional and occupational health of truck drivers, a highly underserved population. Mental health promotion, assessment, and treatment must become a priority to improve the overall trucking environment for truckers, the transportation industry, and safety on US highways.

Occupational Health and Safety of Immigrant Hotel Housekeepers.

BACKGROUND: The accommodations sector is one of the largest employers of immigrant and minority workers in the United States. Hotel housekeepers represent the industry's largest workforce while facing difficult work conditions, health hazards, and psychological stress. This is one of the few empirical studies that address the working conditions of housekeepers in the United States and their perspective of health challenges they face. METHODS: A cross-sectional survey study was conducted with hotel housekeepers (N = 140) in Florida and in collaboration with the local labor union as a rapid assessment of occupational health and safety risk exposures, work-related injuries, coping mechanisms, and perceived management responses. Experienced union workers recruited study participants and administered interviewer-administered surveys. The analysis included descriptive statistics and multivariate regression. FINDINGS: Sampled hotel housekeepers were found to work under significant time pressures to complete excessive workloads and to experience chemical and biological exposures and physical and psychosocial strains. Poor work equipment/insufficient supplies had a negative impact on hotel housekeepers' health, these include heavy wet towels vacuum cleaners having a significant effect on (p < .001) sprains and strains. Poor cleaning supplies had a significant effect (p < .001) on chemical burns. Other significant findings are provided in the article. CONCLUSION/APPLICATION TO PRACTICE: While housekeeping work conditions include many challenges, relatively simple changes by hotels' management can provide potential relief and improve workers' health and safety outcomes, such as functional equipment, sufficient inventory, management support, and proper rest breaks-subsequently increasing workers' health and reducing accidents, and thus potentially improving productivity at a relatively low cost.

Exploring the Role of Social Network Structure in Disease Risk among U.S. Long-haul Truck Drivers in Urban Areas.

Objective: Using mixed methods, we explored properties of long-haul truckers' social networks potentially influencing STI/BBI acquisition and transmission. Methods: We recruited inner-city drug and sex network members (N = 88) for interviews. Blood and urine samples and vaginal swabs were collected to test for STIs/BBIs. Data were collected on participants' role in the network (trucker, sex worker, or intermediary), sexual and substance-use behaviors, and dyadic relationships with drug and/or sex contacts. We analyzed network data using UCINET. Results: Data revealed 2 major network clusters (58 male truckers, 6 male intermediaries, and 24 female sex workers; 27.3% STI/BBI positive). Overall, 18.8% of network members had more than one type of risky relationship with the same person (multiplexity), 11.4% of dyads were between 2 STI/ BBI positive people (assortative mixing), 36.4% were between one STI/BBI positive person and one negative person (disassortative mixing), 44.3% of people were connected to more than one person who was STI/BBI positive (concurrency), and 62.5% of nodes were just one path removed from an STI/BBI positive individual (bridging). Conclusion: Despite only 27.3% of the network being STI/BBI positive, our results revealed network characteristics (and potential intervention points) that amplify risk of disease spread within trucker-centered networks.

Work, physical activity, and metabolic health: Understanding insulin sensitivity of long-haul truck drivers.

BACKGROUND: Long-haul truck drivers are disproportionately exposed to metabolic risk; however, little is known about their metabolic health and the role of physical activity and other risk factors in metabolic outcomes. OBJECTIVE: This study compares truck drivers' insulin sensitivity, and associations between metabolic risk factors and insulin sensitivity, with those of the general population. METHODS: Survey, anthropometric, and biometric data were collected from 115 long-haul truckers, which were then compared to the general population data using the National Health and Nutrition Examination Survey (NHANES) dataset. The quantitative insulin sensitivity check index (QUICKI) was used to estimate insulin sensitivity. RESULTS: Truck drivers had lower QUICKI scores than the general population cohort. Sagittal abdominal diameter and exercise were predictive for QUICKI among combined cohorts. Waist circumference and perceived health were more predictive for QUICKI among truck drivers, and sagittal abdominal diameter and income were more predictive for QUICKI among the general population. CONCLUSIONS: Long-haul truckers appear to represent a subset of the general population regarding the impact of physical activity and other metabolic risk factors on QUICKI. Accordingly, comprehensive efforts which target these factors are needed to improve truckers' physical activity levels and other metabolic risks.

Occupational stressors and the mental health of truckers.

Trucking has been classified as one of the highest-risk occupations in the United States. Occupational stress is even greater for long-haul truckers who are away from home, family, friends, and other support networks for several days or weeks at a time. Occupational stressors and the mental health of truckers was studied using data collected as part of a large multisite ethno-epidemiological study of trucker networks. Findings from the current study show that truckers face many occupational stressors including constant time pressures, social isolation, disrespectful treatment from others, driving hazards such as weather changes, traffic, and road conditions, and violence or fear of violence. Facing such stressors may be a factor in the prevalence of risky behaviors including drug use and paying for sex. Therefore, mental health promotion and treatment for truckers is an important area of concern and must be examined within the broader context of the transportation environment.

Worksite-induced morbidities among truck drivers in the United States.

A critical review was conducted of social, psychological, and health science literature on the array of health risks and morbidities of truckers. Multilevel worksite-induced strains (e.g., long work hours and fatigue, shift work and sleep deprivation, postural fatigue and exposure to noise and vibration, sedentary lifestyle and unhealthy diet, exposure to diesel exhaust fumes, and other occupational stressors) were categorized into six primary morbidities for truckers: (1) psychological and psychiatric disorders; (2) detriments resulting from disrupted biological cycles; (3) musculoskeletal disorders; (4) cancer and respiratory morbidities; (5) cardiovascular disease; and (6) risk-laden substance use and sexual practices. Elevated morbidity risks suggest the need for the design and implementation of systematic epidemiological research and environmental interventions in the transport sector.

Syndemic frameworks to understand the effects of COVID-19 on commercial driver stress, health, and safety.

INTRODUCTION: U.S. commercial drivers are entrenched in a stressogenic profession, and exposures to endemic chronic stressors shape drivers' behavioral and psychosocial responses and induce profound health and safety disparities. To gain a complete understanding of how the COVID-19 pandemic will affect commercial driver stress, health, and safety over time, and to mitigate these impacts, research and prevention efforts must be grounded in theoretical perspectives that contextualize these impacts within the chronic stressors already endemic to profession, the historical and ongoing forces that have induced them, and the potentially reinforcing nature of the resulting afflictions. METHODS: Extant literature reveals how an array of macro-level changes has shaped downstream trucking industry policies, resulting in stressogenic work organization and workplace characteristics. Emerging evidence suggests that the COVID-19 pandemic exacerbates existing stressors and introduces novel stressors, with potentially exacerbatory impacts on health and safety disparities. RESULTS: As COVID-19 exerts an array of multi-level stressors on commercial drivers, syndemic frameworks can provide the appropriate theoretical lens to guide research and prevention. Syndemic frameworks can provide the grounding to allow foregoing commercial driver COVID-19 research to transcend the limitations of prevailing research frameworks by contextualizing COVID-19 stressors holistically within the complex system of endemic chronic stressors and interrelated health and safety afflictions. Syndemic-informed prevention efforts can then be implemented that simultaneously tackle multiple afflictions and the macro-level forces that result in the emergence of commercial drivers' health and safety disparities over time. CONCLUSIONS: The impacts of the COVID-19 pandemic on commercial drivers cannot be adequately understood or acted upon in isolation from the endemic chronic stressors and interrelated health and safety disparities that characterize the profession. Instead, commercial driver COVID-19 research and prevention needs syndemic frameworks to holistically understand the impacts of COVID-19 on commercial driver stress, health, and safety, and to identify high-leverage preventive actions.

The Hospitality Industry in the Face of the COVID-19 Pandemic: Current Topics and Research Methods.

This study reports on a systematic review of the published literature used to reveal the current research investigating the hospitality industry in the face of the COVID-19 pandemic. The presented review identified relevant papers using Google Scholar, Web of Science, and Science Direct databases. Of the 175 articles found, 50 papers met the predefined inclusion criteria. The included papers were classified concerning the following dimensions: the source of publication, hospitality industry domain, and methodology. The reviewed articles focused on different aspects of the hospitality industry, including hospitality workers' issues, loss of jobs, revenue impact, the COVID-19 spreading patterns in the industry, market demand, prospects for recovery of the hospitality industry, safety and health, travel behavior, and preference of customers. The results revealed a variety of research approaches that have been used to investigate the hospitality industry at the time of the pandemic. The reported approaches include simulation and scenario modeling for discovering the COVID-19 spreading patterns, field surveys, secondary data analysis, discussing the resumption of activities during and after the pandemic, comparing the COVID-19 pandemic with previous public health crises, and measuring the impact of the pandemic in terms of economics.

Understanding the effects of COVID-19 on the health and safety of immigrant hospitality workers in the United States.

The U.S. tourism and hospitality workforce is disproportionately represented by immigrants and minorities, particularly in low-wage jobs with adverse work conditions. Immigrant hotel and foodservice workers face excess chronic stress and related syndemic risks, exacerbated by social, political, and economic inequities. COVID-19 has suddenly intensified the stressful and already difficult circumstances of immigrant service sector workers. The travel and tourism sector is one of the hardest hit due to widespread travel restrictions and shelter-in-place orders designed to curb infection spread. Restrictions and lockdowns have devastated tourism-dependent destinations and displaced millions of vulnerable workers, causing them to lose their livelihoods. Compared to the general workforce, a sizeable increase in occupational stress has already been observed in the hospitality/tourism sector over the past 15-20 years. COVID-19 and related fears add further strains on immigrant hotel and foodservice workers, potentially exerting a significant toll on mental and physical health and safety.

The Impact of Work Organization, Job Stress, and Sleep on the Health Behaviors and Outcomes of U.S. Long-Haul Truck Drivers.

Background. Compared with other occupations, long-haul truck drivers (LHTD) engage in excessively unhealthy behaviors and experience disproportionately poor health outcomes. Health promotion efforts targeting LHTDs focus on improving individual-level behaviors; however, this occupation is replete with adverse work organization characteristics, high job stress, and compromised sleep health, which are hypothesized to cause poor health behaviors and outcomes among LHTDs. Therefore, the purpose of this study was to explore the connections between work characteristics, job stress, and sleep outcomes, and health behaviors and physical and mental health outcomes among LHTDs. Method. This was a cross-sectional study, using interviewer-administered surveys with LHTDs (n = 260). Bivariate correlation analysis was used to explore the associations among work organization, job stress, sleep health, and health behaviors and outcomes. Logistic regression analyses were used to determine whether these work organization, job stress, and sleep factors predicted health behaviors and outcomes. Results. Long work hours of more than 11 hours daily (odds ratio [OR] = 2.34) resulted in increased odds of high caffeine consumption. High job stress (OR = 0.48) and poor sleep quality (OR = 0.42) led to decreased odds for spending at least 1 hour daily for cooking/eating. Low sleep duration, less than 7 hours daily (OR = 2.55), led to increased odds of a physical health diagnosis. Both high job stress (OR = 3.58) and poor sleep quality (OR = 2.22) resulted in increased odds of a mental health diagnosis. Conclusion. Health promotion efforts targeting LHTDs need to be coupled with upstream policy, environmental, and systems-level change, especially at the governmental and trucking industry levels.

Work-Life Conflict among U.S. Long-Haul Truck Drivers: Influences of Work Organization, Perceived Job Stress, Sleep, and Organizational Support.

Work-life balance and job stress are critical to health and well-being. Long-haul truck driving (LHTD) is among the unhealthiest and most unsafe occupations in the U.S. Despite these disparities, there are no extant published studies examining the influence of work, stress and sleep outcomes on drivers' work-life balance. The current study investigated whether adverse work organization, stress, and poor sleep health among LHTDs are significantly associated with work-life conflict. Logistic regression was used to examine how work organization characteristics, job stress, and sleep influenced perceived stress and a composite measure of work-life conflict among a sample of 260 U.S. LHTDs. The pattern of regression results dictated subsequent analyses using structural equation modeling (SEM). Perceived job stress was the only statistically significant predictor for work-life balance. Fast pace of work, sleep duration and sleep quality were predictors of perceived job stress. SEM further elucidated that stress mediates the influences of fast work pace, supervisor/coworker support, and low sleep duration on each of the individual work-life balance indicators. There is an urgent need to address work conditions of LHTDs to better support their health, well-being, and work-life balance. Specifically, the findings from this study illustrate that scheduling practices and sleep outcomes could alleviate job stress and need to be addressed to more effectively support work-life balance. Future research and interventions should focus on policy and systems-level change.