Work and Chronic Disease: Comparison of Cardiometabolic Risk Markers Between Truck Drivers and the General US Population

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.

Applying the Worker Well-Being Framework to Identify Factors that Impact Turnover Among Long-Haul Truck Drivers

BACKGROUND

Drivers in the long-haul trucking industry have chronic health conditions, engage in unhealthy behaviors, and leave the industry at high rates. Previous work has not considered the health and safety outcomes resulting from the conditions of work in the trucking industry and their role in turnover. The goal of this study was to understand the expectations of an incoming workforce, explore how work conditions impact their well-being, and identify strategies for retention.

METHODS

Semi-structured interviews were conducted among current long-haul drivers and supervisors at trucking companies, and students and instructors at trucking schools (n = 33). Participants were asked about why they decided to enter the industry, their health challenges related to being in the trucking industry and whether these challenges were related to turnover, and strategies for retention.

FINDINGS

Health conditions, differences in job expectations, and work demands were associated with leaving the industry. Workplace policies and culture (e.g., lack of supervisor support, schedules that limited home time, company size, and lack of benefits) were associated with workers' intention to leave an organization. Strategies identified to improve retention included integrating health and wellness into onboarding, creating realistic job expectations for those entering the industry, establishing relationships with drivers and dispatchers, and developing policies to limit time away from family.

CONCLUSION/APPLICATION TO PRACTICE

Turnover in the trucking industry is a persistent problem and leads to a shortage of skilled workers, increases the workload, and reduces productivity. Understanding the relationship between the conditions of work and well-being provides a more holistic approach to address the health, safety, and well-being of long-haul truck drivers. Health conditions, differences in job expectations, and work demands were associated with leaving the industry. Workplace policies and culture (e.g., supervisor support, schedules that limited home time, lack of benefits) were associated with workers' intention to leave an organization. These conditions provide an opportunity for occupational health interventions to promote the physical as well as psychological health of long-haul truck drivers.

Metabolic syndrome among commercial truck drivers: The relationship between condition prevalence and crashes

BACKGROUND

Metabolic syndrome (MetS) is especially prevalent among US truck drivers. However, there has been limited research exploring associations between MetS conditions with roadway crashes among truck drivers. The objective of this paper is to assess relationships between specific combinations of individual MetS components and crashes and near-misses.

METHODS

Survey, biometric, and anthropometric data were collected from 817 truck drivers across 6 diverse US states. Survey data focused on demographics and roadway safety outcomes, and anthropometric/biometric data corresponded to five MetS conditions (waist circumference blood pressure, hemoglobin A1c, triglycerides, and high-density lipoprotein [HDL] cholesterol). Logistic regression was used to calculate odds ratios of lifetime crashes and near-miss 1-month period prevalence associated with: 1) specific MetS conditions regardless of presence or absence of other MetS conditions, and 2) specific MetS conditions and counts of other accompanying MetS conditions.

RESULTS

Hypertension was the MetS characteristic most strongly associated with lifetime crash and 1-month near-miss outcomes, while high triglycerides, low HDL cholesterol, and large waist circumference were most commonly present among groups of conditions associated with crashes and near-misses. Overall, an increasing number of specific co-occurring MetS conditions were associated with higher reporting of roadway crashes.

CONCLUSIONS

Specific combinations and higher prevalence of MetS conditions were associated with increased frequency of reported crashes. Moreover, when the co-occurrence of MetS conditions is aggregated, a dose-response relationship with crashes appears. These results suggest that policy changes and interventions addressing MetS may increase driver health and reduce crash risk.

Louisiana trucking companies' implementation of workplace health promotion programs: Explanatory sequential mixed method case study

BACKGROUND

Trucking companies may be key partners for workplace health promotion programs to improve heavy and tractor-trailer drivers' health and wellbeing.

OBJECTIVE

To identify barriers and facilitators to implementing workplace health promotion programs among Louisiana trucking companies' leadership and staff.

METHODS

A case study approach following an explanatory sequential mixed method research design was used. A quantitative survey, based on the Theoretical Domains Framework (TDF), was adapted and distributed online to a convenience sample. Survey respondents were recruited for an interview to gain additional insight on multi-level barriers to implementing workplace health promotion programs. Quantitative data was analyzed using descriptive statistics to describe barriers and facilitators following TDF constructs. Qualitative data were independently coded among two researchers following the TDF and the Consolidated Framework for Implementation Research (CFIR) to determine themes.

RESULTS

Eleven workplace leaders or staff took the survey. Two engaged in a follow-up interview. Regarding the quantitative results, most (82%) believed workplace health promotion programs would save their company money, although were not offering them. No TDF constructs were indicated as barriers given mixed results; however, several were facilitators: Social/Professional Role and Identity; Emotion; Action Planning; Knowledge; Motivation and Goals; and Beliefs about Consequences. Qualitative results captured several Inner (e.g., time, money) and Outer Setting contextual (e.g., truckers' needs and resources) factors considered important to trucking companies' implementation of health promotion programs.

CONCLUSION

Results suggest leadership and staff of Louisiana trucking companies value workplace health promotion programs, although are challenged by limited resources and the broader trucking environment.

Drivers with and without Obesity Respond Differently to a Multi-Component Health Intervention in Heavy Goods Vehicle Drivers

Physical inactivity and obesity are widely prevalent in Heavy Goods Vehicle (HGV) drivers. We analysed whether obesity classification influenced the effectiveness of a bespoke structured lifestyle intervention ('SHIFT') for HGV drivers. The SHIFT programme was evaluated within a cluster randomised controlled trial, across 25 transport depots in the UK. After baseline assessments, participants within intervention sites received a 6-month multi-component health behaviour change intervention. Intervention responses (verses control) were stratified by obesity status (BMI < 30 kg/m², n = 131; BMI ≥ 30 kg/m², n = 113) and compared using generalised estimating equations. At 6-months, favourable differences were found in daily steps (adjusted mean difference 1827 steps/day, p < 0.001) and sedentary time (adjusted mean difference -57 min/day, p < 0.001) in drivers with obesity undertaking the intervention, relative to controls with obesity. Similarly, in drivers with obesity, the intervention reduced body weight (adjusted mean difference -2.37 kg, p = 0.002) and led to other favourable anthropometric outcomes, verses controls with obesity. Intervention effects were absent for drivers without obesity, and for all drivers at 16-18-months follow-up. Obesity classification influenced HGV drivers' behavioural responses to a multi-component health-behaviour change intervention. Therefore, the most at-risk commercial drivers appear receptive to a health promotion programme.

Unravelling the Complexity of Irregular Shiftwork, Fatigue and Sleep Health for Commercial Drivers and the Associated Implications for Roadway Safety

Fatigue can be a significant problem for commercial motor vehicle (CMV) drivers. The lifestyle of a long-haul CMV driver may include long and irregular work hours, inconsistent sleep schedules, poor eating and exercise habits, and mental and physical stress, all contributors to fatigue. Shiftwork is associated with lacking, restricted, and poor-quality sleep and variations in circadian rhythms, all shown to negatively affect driving performance through impaired in judgment and coordination, longer reaction times, and cognitive impairment. Overweight and obesity may be as high as 90% in CMV drivers, and are associated with prevalent comorbidities, including obstructive sleep apnea, hypertension, and cardiovascular and metabolic disorders. As cognitive and motor processing declines with fatigue, driver performance decreases, and the risk of errors, near crashes, and crashes increases. Tools and assessments to determine and quantify the nature, severity, and impact of fatigue and sleep disorders across a variety of environments and populations have been developed and should be critically examined before being employed with CMV drivers. Strategies to mitigate fatigue in CMV operations include addressing the numerous personal, health, and work factors contributing to fatigue and sleepiness. Further research is needed across these areas to better understand implications for roadway safety.

Research gaps and needs for preventing worker fatigue in the transportation and utilities industries

BACKGROUND

The transportation and utilities industries include establishments engaged in the movement of passengers and freight, or the provision of public power, water, and other services. Along with the warehousing industry, they make up the US National Occupational Research Agenda's Transportation, Warehousing and Utilities (TWU) industry sector. In 2018 the sector composed 5% of the US workforce, with approximately 8 million workers. TWU workers experienced 19% of all fatalities among U.S. workers in 2018 and 7% of total occupational injuries and illnesses.

METHODS

Around-the-clock operations, heavy workloads, long and irregular shifts, complicated schedules, and time pressures characterize work across the US TWU sector. However, there are considerable differences in worker priorities and concerns between TWU industries. Major areas of concern within the sector include disparities in work schedules; required training for employee fatigue awareness and prevention; physical and mental job demands; and safety culture.

RESULTS

Strategies for fatigue mitigation are critical to reduce the prevalence of injuries, safety-critical events, and crashes in TWU workers. Further research on the incidence and characterization of fatigue among TWU workers will guide the development of effective mitigation strategies. The influence of work scheduling on missed sleep opportunities and disrupted circadian rhythms should be determined. Evaluation of fatigue mitigation strategies can lead to the adoption of the most effective ones for each TWU industry.

CONCLUSION

Implementation of effective strategies is critical for the health, safety, wellbeing, and productivity of workers in the TWU sector.

Pre-injury health status of truck drivers with a workers' compensation claim

Truck drivers are a vulnerable population due to the high number of workplace injuries and fatalities predominant in their occupation. In Australia, the road freight transportation industry has been identified as a national priority area in terms of creating preventative measures to improve the health and safety of its workers. With an environment conducive to poor nutritional food choices and unhealthy lifestyle behaviours, many barriers exist to creating a safe and healthy workforce. Thus, the current study aimed to describe the pre-injury hospital-recorded health conditions and health service use of truck drivers with a worker’s injury compensation claim/s when compared to workers in other industries. Data was obtained from a compensation claims database and linked with hospital admissions data recorded five years prior to the injury claim. Health and lifestyle behaviour data for the occupational code of truck drivers was compared to other occupational drivers, as well as to all other occupations. Analysis was conducted via logistic regression. The results found that when compared to other occupational drivers, truck drivers were significantly more likely to have a hospital-recorded diagnosis of diabetes and/or hypertension, as well as being significantly more likely to have a hospital record of tobacco use and/or alcohol misuse/abuse. The findings show that there is a need to review and revise existing health strategies to promote the health and wellbeing of truck drivers, especially given their challenging work environment.

Physical Activity, Sedentary Time, and Cardiometabolic Health in Heavy Goods Vehicle Drivers

OBJECTIVE

Physical inactivity, prolonged sitting, and unhealthy dietary habits are common in Heavy Goods Vehicle (HGV) drivers. These factors increase risk of long-term health conditions.

METHODS

329 HGV drivers across 25 UK depots completed a health assessment, including questionnaire completion, and objectively measured anthropometrics, blood biomarkers, physical activity (PA), and sedentary behavior.

RESULTS

The sample demonstrated a high-risk cardiometabolic health profile. 88.1% were overweight or had obesity, and 11.9% had pre-diabetes or diabetes. 28.3% had hypertension, 83.6% had clinically elevated circulating low-density lipoprotein-cholesterol concentrations (>2mmol/l), and 66.6% had high total cholesterol levels (>4mmol/l). On workdays drivers accumulated 12 hours/day of sitting, 1.7 hours/day of light PA, and 9.8 mins/day of moderate-to-vigorous PA. Associations between light PA and cardiometabolic markers were observed.

CONCLUSION

This sample presents high levels of inactivity, overweight, and obesity, and unhealthy cardiometabolic health profiles.

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.

Truckies and the Australian transport industry: Managers' perspectives about enablers and inhibitors to workplace health promotion

BACKGROUND

There is little published research about managers' views about implementing and embedding workplace health promotion interventions.

OBJECTIVE

To shed light on research-to-practice challenges in implementing workplace health promotion interventions in the Australian road transport industry.

METHODS

In this Participatory Action Research project, managers from small-to-midsized companies in the Australian road transport industry were asked their views about enablers and barriers to implementing nutrition and physical activity interventions in their workplace.

RESULTS

Managers identified practical assistance with resources, ideas, and staffing as being key enablers to implementation. Barriers included time restraints, worker age and lack of interest, and workplace issues relating to costs and resources.

CONCLUSION

Manager perspectives add new insights about successful implementation of workplace health promotion. A Participatory Action Research approach allows managers to develop their own ideas for adapting interventions to suit their workplace. These findings add to a small body of knowledge about managers' views regarding implementing workplace health promotion in small-to-midsized road transport companies - a relatively unexplored group. Managers highlight the importance of time constraints and worker availability when designing interventions for the road transport industry. Managers require a good understanding of the workplaces' socio-cultural context for successful health promotion and health behaviour change.

Commercial truck drivers should be a priority population for COVID-19 vaccinations

As COVID‐19 vaccines become available, supply is expected to initially fall short of demand. In response, the Advisory Committee on Immunization Practices (ACIP) has issued guidance on which groups should be prioritized to receive vaccines. For the first phase of vaccine allocation, the ACIP recommended healthcare personnel and long‐term care facility residents as recipients. This recommendation was based on risks endemic to these populations, as well as ethical principles related to benefits and harms, mitigating health inequalities, and promoting justice. Commercial truck drivers have played a vital and underappreciated role during the COVID‐19 pandemic. Despite the indispensable role that commercial drivers play in distributing vaccines, they have not been recommended for vaccine allocation in the next phase (1b) by the ACIP. However, the rationale and ethical principles cited for the first vaccine phase suggest that these workers should be recommended for inclusion. By doing so, the acquisition and transmission of COVID‐19 may be mitigated, which would benefit both these workers and the US public. Further, persistent vulnerabilities render commercial truck drivers susceptible to severe COVID‐19 infection; therefore, vaccination during the next phase is imperative to curb the exacerbation of extant health inequities. Finally, because present‐day COVID‐19 vulnerabilities in these workers have been shaped by unjust policies over the past several decades, and because COVID‐19 public health policies have excluded and potentially exacerbated the impacts of the pandemic for these workers, allocating vaccines to commercial truck drivers is a necessary step toward promoting justice.

Relationship between sleep disorders, HIV status and cardiovascular risk: cross-sectional study of long-haul truck drivers from Southern Africa

OBJECTIVES

Long-haul truck drivers (TDs) may have lifestyles that promote cardiovascular disease (CVD), including diet, sleep and activity issues. Most studies conducted among truckers investigated the relationship between poor sleep and cardiometabolic health, but none assessed whether suspected obstructive sleep apnoea (OSA) and shortened sleep were associated with markers of cardiometabolic risk. We determined whether sleep disorders and circadian misalignment were associated with chronic inflammation and CVD risk in TDs from Southern Africa.

METHODS

Participants were recruited at roadside wellness centres in Gauteng and Free State Provinces, South Africa. OSA risk was assessed using the Berlin Questionnaire, while sleep duration and sleep quality were assessed using items from the Pittsburgh Sleep Quality Index. Clinical information, neck circumference (NC), metabolic profile, elevated BP, HIV status and C-reactive protein (CRP) were collected. CVD risk was assessed using the Framingham Risk Score (FRS).

RESULTS

Out of 575 participants aged on average 37.7 years, 17.2% were at OSA risk, 72.0% had elevated BP, 9.4% had HIV and 28.0% were obese. Mean sleep duration was 7.4±1.8 hours, and 49.6% reported working night shift at least once a week. Shortened sleep, OSA risk, age, body mass index, NC and years as full-time TD were associated with greater FRS independently of HIV status and night shift. Working night shift was associated with higher CRP levels in HIV+ compared with HIV- participants.

CONCLUSIONS

Circadian misalignment in HIV, and OSA and short sleep duration in all truckers were associated with increased CVD risk. Truckers should be given careful attention in terms of health management and sleep education.

Cardiometabolic risk factors and mental health status among truck drivers: a systematic review

OBJECTIVE

This study aimed to systematically review and summarise the literature on cardiometabolic risk factors, lifestyle health behaviours and mental health status of truck drivers globally to ascertain the scale of these health concerns.

DESIGN

Systematic review reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

DATA SOURCES

PubMed, Scopus, PsycINFO and Web of Science were searched in January 2019 and updated in January 2020, from the date of inception to 16 January 2020.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Papers were included if they (1) reported independent data on truck drivers, (2) included quantitative data on outcomes related to cardiometabolic markers of health, mental health and/or health behaviours, (3) were written in English and (4) were published in a peer-reviewed journal. Grey literature was ineligible for this review.

DATA EXTRACTION AND SYNTHESIS

One reviewer independently extracted data and assessed methodological quality using a checklist based on the National Heart, Lung and Blood Institute Quality Assessment tool. 20% were independently assessed for eligibility and quality by a second reviewer. Due to heterogeneity of the outcomes, results were narratively presented.

RESULTS

3601 titles and abstracts were screened. Seventy-three studies met the inclusion criteria. Truck driving is associated with enforced sedentarism, long and irregular working hours, lack of healthy foods, social isolation and chronic time pressures. Strong evidence was observed for truck drivers to generally exhibit poor cardiometabolic risk profiles including overweight and obesity, hypertension, hypercholesterolaemia, high blood glucose, poor mental health and cigarette smoking.

CONCLUSIONS

Improving truck driver health is vital for the longevity of the trucking industry, and for the safety of all road users. The workplace plays a vital role in truck driver health; policies, regulations and procedures are required to address this health crisis.

PROSPERO REGISTRATION NUMBER

CRD42019124499.

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.

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.

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.

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 stress and health problems of professional drivers: a hazardous formula for their safety outcomes

Background

Several empirical studies have shown that professional drivers are a vulnerable occupational group, usually exposed to environmental stressors and adverse work conditions. Furthermore, recent studies have associated work-related stress with negative job performances and adverse health outcomes within this occupational group, including cardiovascular diseases and unsafe vehicle operation.

Objective

The aim of this study was to describe the working conditions and the health status of this occupational group, and to evaluate the association between the Demand-Control model of job stress and their self-reported health and safety outcomes.

Methods

A pooled sample of 3,665 Colombian professional drivers was drawn from five different studies. The Job Content Questionnaire and the General Health Questionnaire were used to measure work stress and self-reported mental health, respectively. Additionally, professional drivers self-reported health problems (hypertension, dyslipidemia, diabetes and overweight) and health-related risky behaviors (smoking and sedentary behavior).

Results

Regarding the Job Demands-Control (JDC) model, it was found that approximately a third part of Colombian professional drivers suffer from high job strain (29.1%). Correlational and multivariate analyses suggest that de JDC model of stress is associated with the professional drivers' mental health, traffic accidents and fines, but not with other physical and behavioral health-related outcomes, which are highly prevalent among this occupational group, such as hypertension, dyslipidemia, diabetes, overweight, smoking and sedentary behavior.

Conclusion

The results of this study suggest that (a) stressful working conditions are associated with health and lifestyle-related outcomes among professional drivers, and (b) that evidence-based interventions are needed in order to reduce hazardous working conditions, job stress rates and their negative impact on the health of this occupational group.

Occupational health disparities among U.S. long-haul truck drivers: the influence of work organization and sleep on cardiovascular and metabolic disease risk

OBJECTIVE

The organization of work has undergone vast transformations over the past four decades in the United States and has had profound impacts on worker health and wellbeing. The profession of commercial truck driving is one of the best examples. Particularly for long-haul truck drivers, changes in work organization have led to disproportionately poor physiological, psychological, and sleep health outcomes.

METHODS

The present study examined disparities in cardiometabolic disease risk among long-haul truck drivers and the general population, and the influence of work organization and sleep in generating these outcomes. Researchers collected survey data from 260 drivers, and blood assay samples from 115 of those drivers, at a large highway truck stop in North Carolina. Comparisons were made for cardiovascular and metabolic risk against the 2011-2012 National Health and Nutrition Examination Survey (NHANES). In addition, logistic regression was used to explore predictive relationships between work organization and sleep and risk for cardiovascular and metabolic disease.

RESULTS

There were statistically significant mean differences between the long-haul truck driver sample and the NHANES sample for both cardiovascular (3.71 vs. 3.10; p <0.001) and metabolic (4.31 vs. 3.09; p <0.001) disease risk. The truck driver sample was less physically active and had lower HDL cholesterol along with greater levels of smoking, BMI, and metabolic syndrome diagnosis. More years of driving experience and poor sleep quality were statistically significant predictors for both cardiovascular and metabolic disease risk.

CONCLUSIONS

Study findings implicate elements of the occupational milieu experienced by long-haul truck drivers that induce disproportionate cardiometabolic disease risk. Sleep quality, largely compromised by poor work conditions and workplace environments, plays a significant role in increased risks for cardiometabolic disease. There is an urgent need for longitudinal studies of this critical occupational sector as well as intervention research centered on policy and systems level change.

Can subjective sleep problems detect latent sleep disorders among commercial drivers?

INTRODUCTION

Long-haul truck drivers experience poor sleep health and heightened accident rates, and undiagnosed sleep disorders contribute to these negative outcomes. Subjective sleep disorder screening tools may aid in detecting drivers' sleep disorders. This study sought to evaluate the value of subjective screening methods for detecting latent sleep disorders and identifying truck drivers at-risk for poor sleep health and safety-relevant performance.

MATERIALS AND METHODS

Using cross-sectional data from 260 long-haul truck drivers, we: 1) used factor analysis to identify possible latent sleep disorders; 2) explored the construct validity of extracted sleep disorder factors by determining their associations with established sleep disorder risk factors and symptoms; and 3) explored the predictive validity of resulting sleep disorder factors by determining their associations with sleep health and safety-relevant performance.

RESULTS

Five latent sleep disorder factors were extracted: 1) circadian rhythm sleep disorders; 2) sleep-related breathing disorders; 3) parasomnias; 4) insomnias; 5) and sleep-related movement disorders. Patterns of associations between these factors generally corresponded with known risk factors and symptoms. One or more of the extracted latent sleep disorder factors were significantly associated with all the sleep health and safety outcomes.

DISCUSSION

Using subjective sleep problems to detect latent sleep disorders among long-haul truck drivers may be a timely and effective way to screen this highly mobile occupational segment. This approach should constitute one component of comprehensive efforts to diagnose and treat sleep disorders among commercial transport operators.

Cardiovascular disease risk differences between bus company employees and general workers according to the Korean National Health Insurance Data

Background

Bus drivers are known to be highly at risk of cardiovascular diseases. In this study, we assessed the cardiovascular disease prevalence of bus company employees in Seoul, South Korea, and compared the results to those of general workers.

Methods

We analyzed the 2014 Korean National Health Insurance (NHI) data and defined hypertension, diabetes, dyslipidemia, ischemic heart disease, and cerebrovascular disease based on the KCD-6 medical diagnoses. We used bus company employees as surrogate participants of bus drivers due to the characteristics of Korean NHI data. We identified bus company employees in Seoul based on one’s workplace which the insurance is registered. The prevalence of five diseases was compared between the bus company employees and general workers. We also calculated the odds ratios (OR) of five diseases between the bus company employees and general workers. To compensate the vast demographical differences between the two groups, we performed propensity score matching.

Results

Bus company employees have higher OR for having hypertension (OR 1.33, 95% CI: 1.28–1.39), diabetes mellitus (1.14, 95% CI: 1.08–1.22), and dyslipidemia (1.23, 95% CI: 1.17–1.29) than the general workers or propensity score matched controls. However, the OR of having ischemic heart disease were not significant. The OR of cerebrovascular disease were lower in bus company employees than in the general workers after adjusting the covariates, but similar in the propensity score matched model.

Conclusion

This study showed that the ORs of cardiovascular disease risk factors are high in bus company employees when compared to the general working population. Further studies with the longitudinal design should be conducted to confirm the causal association.

A retrospective analysis of cardiometabolic health in a large cohort of truck drivers compared to the American working population

BACKGROUND

Truck drivers face many health challenges, including lifestyle, diet, inactivity, stressors, and social support.

METHODS

A repeated cross-sectional analysis compared 88,246 truck drivers with data from (n = 11 918) the National Health and Nutrition Examination Survey (NHANES). Trends over time for body mass index (BMI), high blood pressure, diabetes mellitus, heart disease, and sleep disorders were analyzed, adjusting for potential confounders.

RESULTS

Truck drivers had significantly worsening health metrics between 2005 and 2012 compared to NHANES participants. Truck drivers were significantly more likely to be obese and morbidly obese with prevalence odds ratios (POR) and 95% confidence intervals (95%CI) of 1.99 (1.87, 2.13) and 2.34 (2.16, 2.54), respectively. Measured blood pressure, self-reported high blood pressure, diabetes mellitus, and heart disease all significantly increased. Also, sleep disorders increased among truck drivers from 2005 to 2012 (POR = 6.55, 95%CI 5.68, 7.55).

CONCLUSION

These data suggest disproportionate increases in poor health among truck drivers from 2005 to 2012.

Work, sleep, and cholesterol levels of U.S. long-haul truck drivers

Long-haul truck drivers in the United States experience elevated cardiovascular health risks, possibly due to hypercholesterolemia. The current study has two objectives: 1) to generate a cholesterol profile for U.S. long-haul truck drivers; and 2) to determine the influence of work organization characteristics and sleep quality and duration on cholesterol levels of long-haul truck drivers. Survey and biometric data were collected from 262 long-haul truck drivers. Descriptive analyses were performed for demographic, work organization, sleep, and cholesterol measures. Linear regression and ordinal logistic regression analyses were conducted to examine for possible predictive relationships between demographic, work organization, and sleep variables, and cholesterol outcomes. The majority (66.4%) of drivers had a low HDL (<40 mg/dL), and nearly 42% of drivers had a high-risk total cholesterol to HDL cholesterol ratio. Sleep quality was associated with HDL, LDL, and total cholesterol, and daily work hours were associated with LDL cholesterol. Workday sleep duration was associated with non-HDL cholesterol, and driving experience and sleep quality were associated with cholesterol ratio. Long-haul truck drivers have a high risk cholesterol profile, and sleep quality and work organization factors may induce these cholesterol outcomes. Targeted worksite health promotion programs are needed to curb these atherosclerotic risks.