Sleep, Dietary, and Exercise Behavioral Clusters Among Truck Drivers With Obesity: Implications for Interventions

A closer look at depression and sleep quality relation: A cross-sectional study of taxi drivers in Tabriz metropolis

Background and Aim

Taxi drivers play a significant role in urban mobility and safety as professional drivers. They typically have poor incomes, long work hours, lack of sleep, and high levels of stress, which increase the risk of physical and mental illnesses. The goal of this study was to explore the relationship between sleep disorders and depression among Tabriz metropolis taxi drivers.

Methods

Using the street intercept technique, a cross-sectional study was conducted with the participation of 402 taxi drivers in Tabriz during January and March 2020. Data collection tools included the Pittsburgh Sleep Quality Index (PSQI) and Patient Health Questionnaire as well as demographic information. Twenty taxi stops were used as sampling sites, and the method used was random sampling based on the number of drivers at each stop. Statistical analysis was performed using Stata 13.

Results

The majority of drivers worked an average of 6 days each week, with a mean tenure of 13.3 years. The sleep quality mean score for drivers was 5 (SD = 2.3). Approximately, 21% of them had sleep disorder (PSQI >6). Moderate depression was recognized in 13% of drivers and moderately severe depression has been found in 5% of them. Drivers were more likely to experience sleep disorders if they had mild (odds ratio [OR] = 3.9), moderate (OR = 16.4), or fairly severe depression symptoms (OR = 35.3). A seven times higher risk of depression was identified among drivers with sleep disorders.

Conclusion

It might be contended that a mutual relationship has been found between sleep disorders and depression, and disregarding this will deteriorate sleep turbulences. Considering the pivotal role of taxi drivers in urban mobility, accommodating initiatives that give a break time for drivers and improve their mental health is recommended.

Epidemiology of non-communicable diseases among professional drivers in LMICs: a systematic review and meta-analysis

This systematic review collected evidence on the burden of non-communicable diseases (NCDs) among professional drivers and reported on the most common factors that increase the risk of NCDs in this specific population in low- and middle-income countries (LMICs). The protocol for this systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO). We conducted a thorough search on PubMed/MEDLINE, EMBASE, Scopus, Global Health, Web of Science and Africa-wide information databases on 11 May 2023. We adapted the Joanna Briggs Institute (JBI) tool to assess the quality of the studies. We estimated the prevalence of hypertension, prediabetes, diabetes mellitus (DM), overweight and obesity among professional drivers using a random effect model to compute pooled and subgroup analyses. In addition, we conducted a narrative synthesis of the risk factors and recommendations presented in the included studies. Forty-one studies, including 48 414 study participants, met the criteria for inclusion. The pooled prevalence of hypertension, DM and obesity among professional drivers was 36.7% [95% confidence interval (CI): 31.8-41.6%], 15.2% (95% CI: 7.0-23.4%) and 27.2% (95% CI: 18.7-35.8%), respectively. Unsupportive environment, work stress, sedentary lifestyle, consumption of unhealthy foods and shift work were the most common modifiable risk factors reported. Our findings also show a significant burden of hypertension, DM and obesity among professional drivers in LMICs. The prevalence of DM and obesity was two- and three-fold higher than findings in general populations, respectively. Our findings indicate an urgent need for tailored interventions for different occupation-related risk factors for NCDs among professional drivers in LMICs.

Association between work-related factors and health behaviour clusters among Finnish private-sector service workers

PURPOSE

We examined how work-related factors associate with several health behaviours that appear together among the large, but less-studied, blue- and pink-collar worker group, which is characterized by low education and income levels.

METHODS

In 2019, we conducted a cross-sectional survey among private sector service workers (n = 5256) in Finland. We applied two-step cluster analysis to identify groups on the basis of leisure-time physical activity, sleep adequacy, frequency of heavy drinking, smoking status, and frequency of fruit, vegetable and berry consumption. We examined the associations with work-related factors, using multinomial regression analyses and adjusting for confounding factors.

RESULTS

We identified six clusters labelled as Moderately Healthy (28% of the participants), Healthy - Vigorous Exercise (19%), Sedentary Lifestyle (16%), Inadequate Sleep (15%), Mixed Health Behaviours (15%), and Multiple Risk Behaviours (8%). Those who perceived their work to be mentally or physically strenuous more commonly belonged to the Inadequate Sleep and Multiple Risk Behaviours clusters. Time pressure made belonging to the Inadequate Sleep, Mixed Health Behaviours, and Multiple Risk Behaviours clusters more likely. Those who were dissatisfied with their work more often belonged to the Healthy - Vigorous Exercise, Inadequate Sleep, and Multiple Risk Behaviours clusters.

CONCLUSION

In addition of finding several considerably differing health behaviour clusters, we also found that adverse working conditions were associated with clusters characterized by multiple risk behaviours, especially inadequate sleep. Private-sector service workers' working conditions should be improved so that they support sufficient recovery, and occupational health services should better identify co-occurring multiple risk behaviours.

Association between self-reported food intake and subjective sleep quality among truck drivers in a city in Southern Brazil

Introduction

Sleep is an activity of great importance for maintaining the homeostasis of the human body and some components may interfere with the quality of sleep, including the pattern of food consumption. Truck drivers may constitute a population particularly sensitive to this association, since they are routinely exposed to situations that may interfere with food intake and sleep quality. Thus, this study investigated the association between self-reported food intake and sleep quality in truck drivers.

Methods

This was a cross-sectional study, with drivers who traveled in a city in southern Brazil. Food intake was evaluated through the average of food intake over the last 30 days. Food intake was evaluated in two forms: division in food groups and evaluation only tryptophan-rich foods. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). In addition to the descriptive analysis, to identify possible associations between food intake and sleep quality, linear regression, crude and adjusted for confounding variables, were performed to obtain the Beta and Beta adjusted (Betaadj), respectively, and p-value.

Results

A total of 352 truck drivers, mostly males, mean age 48.4 (±11.6) years, with a frequent consumption of meat, fruits, vegetables, sweets, and energy drinks participated in this study. The frequent consumption of dairy products (Betaadj: --0.614. p-value 0.004) and fruits (Betaadj: --0.342. p-value 0.034) was associated with lower PSQI score, while the consumption of energy drinks was associated with a higher PSQI score (Betaadj: 0.923. p-value <0.001). The frequency of consumption of tryptophan-rich foods was not associated with sleep quality.

Conclusion

Fruits and dairy products are associated with better subjective sleep quality, while energy drinks are associated with worse sleep quality in truck drivers, whereas dietary tryptophan-rich foods intake was not associated with sleep quality.

A Retrospective Medical Record Review to Describe Health Status and Cardiovascular Disease Risk Factors of Bus Drivers in South Africa

Cardiovascular disease (CVD) is the leading cause of death globally. The occupational challenges of bus drivers may increase their risk of CVD, including developing obesity, hypertension, and diabetes. We evaluated the medical records of 266 bus drivers visiting an occupational medical practice between 2007 and 2017 in Johannesburg, South Africa, to determine the health status of bus drivers and investigate risk factors for CVD, and their impact on the ability to work. The participants were in majority male (99.3%) with a median age of 41.2 years (IQR 35.2); 23.7% were smokers, and 27.1% consumed alcohol. The median body mass index (BMI) was 26.8 m/kg² (IQR 7.1), with 63.1% of participants having above normal BMI. Smoking, BMI, and hypertension findings were in line with national South African data, but diabetes prevalence was far lower. Undiagnosed hypertension was found in 9.4% of participants, uncontrolled hypertension in 5.6%, and diabetes in 3.0%. Analysis by BMI category found that obesity was significantly associated with increased odds of hypertension. Uncontrolled hypertension was the main reason for being deemed 'unfit to work' (35.3%). Our research highlights the need for more regular screening for hypertension and interventions to address high BMI.

Research on urban path selection of construction vehicles based on bi-objective optimization

With the implementation of urban central rail transit and old city reconstruction projects, construction vehicles frequently enter and depart the urban area. And because of its large volume and other characteristics, it increases the risk probability and severity of urban traffic accidents. This study takes the transportation path selection of construction vehicles as the breakthrough point, weighs the transportation efficiency and safety of construction vehicles, establishes a bi-objective optimization model, involving constraints such as height limit, weight limit, speed limit, direction limit and traffic limit and uses genetic algorithm to solve it. Finally, through case analysis, the user preference is adjusted to conduct functional test and description of the model. The results indicate that the model has the function of transportation vehicle path optimization. In the meantime, compared with the safest route, the time-consuming of the optimal route decreases by 16% and the risk increases by 7.4%, while the time-consuming of it increases by 5% and the risk decreases by 15.4% compared with the shortest route. Moreover, the corresponding coefficients of time-consuming and safety preference can reach about 0.65, and the relevant stakeholders have high acceptance of the route. Further improvement of construction vehicle management mechanism based on path optimization is one of the limited ways to effectively improve the current situation of construction vehicle management.

Factors Associated with Colorectal Cancer Prevalence Among Long-Haul Truck Drivers in the United States

PURPOSE

To determine the age-adjusted association between colorectal cancer (CRC) risk factors and CRC prevalence among long-haul truck drivers (aged 21-85), after adjustment for age.

DESIGN

Pooled cross-sectional analysis using Commercial Driver Medical Exam (CDME) data. Setting. National survey data from January 1, 2005, to October 31, 2012.

PARTICIPANTS

47,786 commercial motor vehicle drivers in 48 states.

MEASURES

CRC prevalence was the primary outcome; independent variables included demographics, body mass index (BMI), and concomitant medical conditions.

ANALYSIS

Kruskal-Wallis tests to analyze continuous variables; Fischer's exact tests to analyze categorical variables; univariate and multivariable logistic regression for rare events (Firth method) to quantify the association between the independent variables of interest and CRC prevalence. Odds ratios (ORs) and 95% confidence intervals (CIs) were adjusted for age, gender, years with current employer, year of exam, and BMI in a multivariate logistic regression.

RESULTS

Many factors were statistically significant. Obesity (OR = 3.14; 95% CI = 1.03-9.61) and increasing age (OR = 1.10 per year; 95% CI = 1.07-1.13) were significantly associated with CRC prevalence. Truckers with 4 or more concomitant medical conditions were significantly more likely to have CRC (OR = 7.03; 95% CI = 1.83-27.03).

CONCLUSIONS

Our findings highlight mutable risk factors and represent an opportunity for intervention that may decrease CRC morbidity and mortality among truck drivers, a unique population in the United States estimated to live up to 16 years less than the general population.

A systematic review of trucking food, physical activity, and tobacco environments and tractor-trailer drivers’ related patterns and practices in the United States and Canada, 1993–2021

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The built environment is recognized to influence health patterns and practices.

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No review has explored trucking food, physical activity, and tobacco environments.

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Trucking built environment science is underdeveloped and requires validated tools.

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Future research should explore truckers’ views on built environment interventions.

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More emphasis on the trucking built environment and health equity is warranted.

Truckers in the United States (U.S.) and Canada are at high risk for noncommunicable disease. Although trucking built environments have been highlighted for intervention, no systematic review has assessed aspects of trucking environments that may influence food, physical activity (PA), and smoking patterns/practices. The purpose of this systematic review was to characterize the state of the science on trucking food, PA, and tobacco environments and to examine truckers’ food, PA, and tobacco patterns/practices. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used. Five databases were selected for searching in April 2020 and 2021 using key terms constructed by a librarian. Peer-reviewed research with data about U.S. and Canadian truckers’ (i.e., drivers operating 18-wheelers or tractor trailers) food, PA, and/or tobacco environments and related patterns/practices were included. Quality was assessed using the Mixed Method Appraisal Tool. Thirty-eight studies were identified. Results included data from at least 16,600 truckers and 282 trucking settings in the U.S. (n = 32) and Canada (n = 6). Most studies were classified as quantitative descriptive and of poor quality (average score 3 of 7). The few studies (n = 4) that measured trucking food and PA environments characterized trucking sites as poor. Fifteen (47%) presented data about truckers’ perceptions of food or PA environments and highlighted prominent environmental barriers. Truckers’ food, PA, and smoking patterns and practices suggested poor diet quality, sedentary practices, and a high prevalence of smoking. The science of trucking food, PA, and tobacco environments is underdeveloped and requires much more focus using validated measures.

Road safety and heavy goods vehicle driving in LMICs: Qualitative evidence from Nepal

BACKGROUND

Heavy goods vehicle drivers are an influential driving population in Nepal, with over 90% of goods in the country are transported by road. Due to the time spent on the road, drivers have long periods of exposure to the risk of crash involvement. The study explores the perceptions and experiences of heavy goods vehicle drivers and representatives from their professional association regarding road danger.

METHODS

We conducted semi-structured interviews with fifteen heavy goods vehicle drivers regularly driving on the East-West highway of Makwanpur District, Nepal. A focus group was conducted with eleven members from a major transportation entrepreneur's association in Nepal. The focus group and interviews were audio-recorded, transcribed, translated, and analyzed using thematic analysis.

RESULTS

Four themes were developed- assumptions of blame; perceptions of safety culture in the trucking industry; influence of road infrastructure; and behaviours of road users. The road and traffic environment, enforcement, and the safety culture in the heavy vehicle industry not only influenced the attitudes of the road users towards traffic safety but also legitimized and encouraged behaviours that affect safety. General and industry-related road safety improvements suggested by participants included: making provision for heavy good vehicles parking areas, separating the highway with a median strip, improving crash investigation capacity, conducting road safety awareness and training programs, strictly enforcing the speed limit and laws about driving under the influence of alcohol/drugs, and formulating strategies to create a safe, supportive working environment in the heavy vehicle industry.

CONCLUSION

Heavy goods vehicle drivers and members of the professional association can provide rich information regarding the barriers and facilitators of road risk in Nepal. Their perceptions and opinions can contribute to devising interventions at individual, societal, organizational, and governmental levels, and inform efforts to develop a positive safety culture within the heavy vehicle transport industry.

Effects of dietary patterns on driving behaviours among professional truck drivers: the mediating effect of fatigue

OBJECTIVE

To explore the impact of the dietary patterns of truck drivers on their driving behaviours and the mediation effect of fatigue between these factors.

METHODS

A sample of 389 male truck drivers from a transport company in Suzhou, China completed the Food Frequency Questionnaire (FFQ), the Multidimensional Fatigue Inventory (MFI), the Positive Driver Behaviours Scale (PDBS) and the Driver Behaviour Questionnaire (DBQ). The associations among dietary patterns, fatigue and driving behaviour were examined using pathway analysis.

RESULTS

Four dietary patterns were identified based on principal component analysis: animal-derived foods, staple foods, snacks and vegetables. The pathway analysis showed that the vegetable-rich pattern had a direct positive impact on positive driving behaviour (β=0.211, p<0.001); the animal-derived pattern had a direct positive impact on errors (β=0.094, p<0.05) and ordinary violations (β=0.071, p<0.05); the snacks pattern had a direct negative impact on positive driving behaviour (β=-0.191, p<0.001); fatigue mediated the effect of dietary patterns on driving behaviours (p<0.001); and the staple foods had an indirect effect on driving behaviours.

CONCLUSIONS

Overall, the driving behaviours of truck drivers are correlated with their dietary patterns. Drivers who preferred vegetables and staple foods had more positive driving behaviour, while the animal-derived food and snack patterns were related to dangerous driving behaviour. The experience of fatigue could explained the underlying mechanism between these factors.

Sleep duration and sleep efficiency in UK long-distance heavy goods vehicle drivers

OBJECTIVES

To profile sleep duration and sleep efficiency in UK long-distance heavy goods vehicle (HGV) drivers and explore demographic, occupational and lifestyle predictors of sleep.

METHODS

Cross-sectional analyses were carried out on 329 HGV drivers (98.5% men) recruited across an international logistics company within the midland's region, UK. Sleep duration and efficiency were assessed via wrist-worn accelerometry (GENEActiv) over 8 days. Proportions of drivers with short sleep duration (<6 hour/24 hours and <7 hour/24 hours) and inadequate sleep efficiency (<85%) were calculated. Demographic, occupational and lifestyle data were collected via questionnaires and device-based measures. Logistic regression assessed predictors of short sleep duration and inadequate sleep efficiency.

RESULTS

58% of drivers had a mean sleep duration of <6 hour/24 hours, 91% demonstrated <7-hour sleep/24 hours and 72% achieved <85% sleep efficiency. Sleeping <6 hour/24 hours was less likely in morning (OR 0.45, 95% CI 0.21 to 0.94) and afternoon (OR 0.24, CI 0.10 to 0.60) shift workers (vs night) and if never smoked (vs current smokers) (OR 0.45, CI -0.22 to 0.92). The likelihood of sleeping <7 hour/24 hours reduced with age (OR 0.92, CI 0.87 to 0.98). The likelihood of presenting inadequate sleep efficiency reduced with age (OR 0.96, CI 0.93 to 0.99) and overweight body mass index category (vs obese) (OR 0.47, CI 0.27 to 0.82).

CONCLUSIONS

The high prevalence of short sleep duration and insufficient sleep quality (efficiency) rate suggest that many HGV drivers have increased risk of excessive daytime sleepiness, road traffic accidents and chronic disease. Future sleep research in UK HGV cohorts is warranted given the road safety and public health implications.

Psychosocial and Diet-Related Lifestyle Clusters in Overweight and Obesity

This study explored intraindividual multidimensional profiles integrating psychosocial factors, namely, body image and satisfaction, weight-related self-stigma, positivity, and happiness, and behavioural-lifestyle factors, namely, adherence to a healthy diet, among Spanish adults with overweight or obesity. We further aimed to investigate the association of excess weight (i.e., measured body mass index, BMI) with the abovementioned multidimensional configurations. A convenience sample of 100 adult individuals (60% females) with excessive weight (69% overweight; 31% obesity) was recruited. They completed self-reports regarding the study variables, and their weight and height were measured. With a perspective centered on the individual, a cluster analysis was performed. Three distinct intraindividual psychosocial and diet-related profiles were identified: a group of healthy individuals with excess weight (46%); a group of individuals who were negatively affected by their excessive weight and showed the most distressed profile (18%); and a group of dysfunctional individuals who seemed to be excessively unrealistic and optimistic regarding their excessive weight and unhealthy lifestyles, but were troubled by their weight (36%). Furthermore, individuals in the affected cluster had higher obesity (mean BMI ± SD = 32.1 ± 3.7) than those in the clusters of healthy (28.0 ± 3.0) and dysfunctional individuals (28.1 ± 3.3) (p < 0.05). The results showed that there are specific psychosocial and lifestyle profiles in the adult population with excess weight and that there are relationships among psychological, behavioural, and body-composition factors. For clinical application purposes, it is important to account for the heterogeneity within individuals who are obese and to individualize the interventions, with a focus from weight change to the individual's overall well-being.

Metabolic Syndrome in Commercial Truck Drivers: Prevalence, Associated Factors, and Comparison With the General Population

INTRODUCTION

Commercial motor vehicle drivers, such as truck drivers, experience unique health, lifestyle, and occupational challenges directly associated with their profession.

METHODS

All participants in this multistate cross-sectional study completed questionnaire measurements. Participants were categorized with metabolic syndrome (MetS) if they had at least three of the five modified criteria used in the joint scientific statement on metabolic syndrome.

RESULTS

Overall MetS prevalence was 52.4% (n = 428) of the 817 participants. Prevalence of MetS criteria were waist circumference (n = 634, 77.0%), low HDL cholesterol (n = 580, 71.0%), elevated triglycerides (n = 552, 67.6%), elevated blood pressure (n = 175, 21.2%), and elevated hemoglobin A1c (n = 97, 11.9%). Truck drivers were 2.7 times more likely to have MetS compared to the general working population.

CONCLUSION

Truck drivers in the United States have a high prevalence of MetS compared to the general working population.

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.

Bridging the Gaps in Health Service Delivery for Truck Drivers of India Through Mobile Medical Units

Background:

Truck drivers in India suffer from many lifestyle-related health problems. Providing primary health care services to truck drivers is essential to improve their overall health and well-being. This paper reports the findings of a community-based mobile medical unit program providing nonemergency and basic primary care services to truck drivers along the major highways of India. Piramal Swasthya Management and Research Institute launched this community-based mobile medical unit program, in partnership with Shriram Transport Finance Corporation Limited (STFCL).

Materials and Methods:

The paper describes the program model, its coverage, the sociodemographic profile, and common health morbidities of the truck drivers availing the program services. 2-year routine program data (April 2017 to March 2019) were accessed and analyzed.

Results:

A total of 1,167,210 number of unique truck drivers availed the program services during the reference period, of which 61,331 had complete data. The majority of truck drivers were male (99.1%) and just a few women (0.88%) and transgender (0.003%). The mean age was 45.5 years ± 10.91 and nearly half (49%) were in the productive age group (31–45 years). Noncommunicable and other chronic diseases (34.74%), musculoskeletal problems (24.17%), communicable diseases (14.52%), oral cavity-related problems (1.23%), and other minor ailments (17.77%) were the major consultation categories.

Conclusion:

Truck drivers in India have significant health morbidities. Providing primary health care services to truck drivers through mobile medical units is a step toward achieving universal health coverage.

Prevalence of abdominal obesity and associated lifestyle factors in bus drivers in a city in Southern Brazil

BACKGROUND

Bus drivers are exposed to unique working conditions. The behavioral and health trends of these workers should be investigated.

OBJECTIVE

To estimate the prevalence of abdominal obesity and associated lifestyle factors in bus drivers in a city in Southern Brazil.

METHODS

A cross-sectional study with 103 bus drivers with mean age of 41 years (±8.5) was conducted. Abdominal obesity was measured through waist circumference using anthropometric tape. To evaluate the different lifestyle domains, the Brazilian version of the Canadian Fantastic Lifestyle questionnaire was used. To check the association between abdominal obesity and lifestyle, binary logistic regression was used, with odds ratio (OR) estimates and 95% confidence intervals (95% CI).

RESULTS

It was verified that 26.3% of drivers had abdominal obesity. In addition, bus drivers who had inadequate lifestyle in the "Nutrition" and "Type of behavior" domains were, respectively, 3.6 (95% CI: 1.3-9.5, p = 0.01) and 2.6 times (95% CI: 1.1-6.7; p = 0.04) more likely of having abdominal obesity when compared to those adequate in these lifestyle domains.

CONCLUSIONS

Approximately one in four drivers had abdominal obesity and the "Nutrition" and "Type of Behavior" domains were associated with abdominal obesity.

Cross-sectional study of the health of southern African truck drivers

OBJECTIVES

Lifestyle and working conditions of truck drivers predisposes them to risk-factors associated with communicable and non-communicable diseases, but little is known about the health status of African truck driver. This study aims to assess a cross-section of truckers in South Africa to describe their health information.

SETTING

The study took place across three truck-stop rest areas in the South African provinces of Free State and Gauteng.

PARTICIPANTS

Eligibility criteria included being males aged 18 years and older, full-time employment as a long-distance truck driver. A total of 614 male truck drivers participated; 384 (63%) were Zimbabwean and 325 (55%) completed high-school.

PRIMARY AND SECONDARY OUTCOME MEASURES

The trucker survey explored demographics; working conditions; sexual, eating and sleeping behaviours; mental health status, medical history and cardiac risk-factors. Medical assessments included physical measurements, glucose and lipid measurements, ECG, carotid intima-media thickness (CIMT) and cardiac ultrasound.

RESULTS

In the previous month, 554 (91%) participants were sexually active; 522 (86%) had sex with a regular partner; 174 (27%) with a casual partner; 87 (14%) with a sex worker. Average time driving was 10 hours/day, 20 days/month, 302 (50%) never worked night shifts and 74 (12%) worked nights approximately four times per week. 112 (18%) experienced daytime sleepiness and 59 (10%) were ever hospitalised from an accident. Forty-seven (8%, 95% CI 5.3 to 9.5) were HIV-positive, with half taking antiretrovirals. Forty-eight (8%) truckers had some moderate depression, while 21 (4%) suffered from post-traumatic stress disorder. Reported tuberculosis, myocardial infarction, and diabetes were <3%. Prominent cardiac risk-factors included smoking (n=63, 11%), consuming alcohol (>15 drinks/week) (n=54, 9%), overweight/obesity (n=417, 69%), and hypertension (n=220, 36%,95% CI 32.1 to 39.7). ECG results showed 23 (4.9%) and 29 (5.3%) drivers had left ventricular hypertrophy using the Cornell criterion and product, respectively. CIMT measurements indicated nine (4.2%) drivers had a carotid atherosclerotic plaque.

CONCLUSION

This first holistic assessment of health among southern African male truck drivers demonstrates substantial addressable cardiovascular risk factors, mental health issues and sexual risk behaviours.

Obesity in the Workplace: Impact, Outcomes, and Recommendations

OBJECTIVE

To conduct a comprehensive literature review to develop recommendations for managing obesity among workers to improve health outcomes and to explore the impact of obesity on health costs to determine whether a case can be made for surgical interventions and insurance coverage.

METHODS

We searched PubMed from 2011 to 2016, and CINAHL, Scopus, and Cochrane Registry of Clinical Trials for interventions addressing obesity in the workplace.

RESULTS

A total of 1419 articles were screened, resulting in 275 articles being included. Several areas were identified that require more research and investigation.

CONCLUSIONS

Our findings support the use of both lifestyle modification and bariatric surgery to assist appropriate patients in losing weight.

Process Evaluation of a Mobile Weight Loss Intervention for Truck Drivers

BACKGROUND

In a cluster-randomized trial, the Safety and Health Involvement For Truck drivers intervention produced statistically significant and medically meaningful weight loss at 6 months (-3.31 kg between-group difference). The current manuscript evaluates the relative impact of intervention components on study outcomes among participants in the intervention condition who reported for a postintervention health assessment (n = 134) to encourage the adoption of effective tactics and inform future replications, tailoring, and enhancements.

METHODS

The Safety and Health Involvement For Truck drivers intervention was implemented in a Web-based computer and smartphone-accessible format and included a group weight loss competition and body weight and behavioral self-monitoring with feedback, computer-based training, and motivational interviewing. Indices were calculated to reflect engagement patterns for these components, and generalized linear models quantified predictive relationships between participation in intervention components and outcomes.

RESULTS

Participants who completed the full program-defined dose of the intervention had significantly greater weight loss than those who did not. Behavioral self-monitoring, computer-based training, and health coaching were significant predictors of dietary changes, whereas behavioral and body weight self-monitoring was the only significant predictor of changes in physical activity. Behavioral and body weight self-monitoring was the strongest predictor of weight loss.

CONCLUSION

Web-based self-monitoring of body weight and health behaviors was a particularly impactful tactic in our mobile health intervention. Findings advance the science of behavior change in mobile health intervention delivery and inform the development of health programs for dispersed populations.

Perspectivas do uso de mineração de dados e aprendizado de máquina em saúde e segurança no trabalho

Resumo Introdução: a variedade, volume e velocidade de geração de dados (big data) possibilitam novas e mais complexas análises. Objetivo: discutir e apresentar técnicas de mineração de dados (data mining) e de aprendizado de máquina (machine learning) para auxiliar pesquisadores de Saúde e Segurança no Trabalho (SST) na escolha da técnica adequada para lidar com big data. Métodos: revisão bibliográfica com foco em data mining e no uso de análises preditivas com machine learning e suas aplicações para auxiliar diagnósticos e predição de riscos em SST. Resultados: a literatura indica que aplicações de data mining com algoritmos de machine learning para análises preditivas em saúde pública e em SST apresentam melhor desempenho em comparação com análises tradicionais. São sugeridas técnicas de acordo com o tipo de pesquisa almejada. Discussão: data mining tem se tornado uma alternativa cada vez mais comum para lidar com bancos de dados de saúde pública, possibilitando analisar grandes volumes de dados de morbidade e mortalidade. Tais técnicas não visam substituir o fator humano, mas auxiliar em processos de tomada de decisão, servir de ferramenta para a análise estatística e gerar conhecimento para subsidiar ações que possam melhorar a qualidade de vida do trabalhador.

Health and wellness of Canadian commercial motor vehicle drivers

Purpose

The purpose of this paper is to solicit perspectives from stakeholders concerning health, environmental and operational challenges among Commercial motor vehicle (CMV) drivers in Canada (truck and bus drivers).

Design/methodology/approach

Two focus groups and one interview were conducted with key industry, government and advocacy groups representing or working with CMV drivers. Perspectives pertaining to working conditions, health issues, driver recruitment and retention, and other key issues in the CMV sector were obtained.

Findings

The findings show that undesirable working conditions are primary issues that impact recruitment and retention, as well as health and wellness (H&W), and productivity of drivers in both the truck and bus sectors. Compared to our US counterparts, finding parking areas and rest stops were seen as a major issue for Canadian truckers (particularly in the north). Unfortunately, there is limited or out-dated information on drivers and companies in Canada. Stakeholders stated the need for more information from both carriers/companies and from drivers themselves (particularly long-haul drivers).

Research limitations/implications

This study identifies gaps and key priority research areas pertaining to the H&W of the CMV sector in Canada that require further investigation.

Originality/value

CMV drivers are considered a vulnerable sector of the population. While drivers themselves have reported on undesirable work conditions leading to poor health, prior studies have not assessed the awareness or perspective of stakeholders involved in the CMV sector. This is the first study to capture stakeholder perspectives of the working conditions and health outcomes of CMV drivers.

Sleep quality, obstructive sleep apnea, and psychological distress in truck drivers: a cross-sectional study

PURPOSE

Sleep disorders are highly prevalent in truck drivers. The aim of this study is to evaluate the prevalence of self-reported obstructive sleep apnea (OSA) and poor sleep quality in truck drivers, and to analyze the relationship between sleep problems and mental health.

METHODS

A total of 526 male truck drivers (mean age 45.9; DS 9.4) responded to a questionnaire about risk factors for OSA (STOP-Bang), sleep quality perception (Pittsburg sleep questionnaire inventory, PSQI), excessive daytime sleepiness (Epworth sleepiness scale, ESS), and psychological disorders (general health questionnaire, GHQ-12).

RESULTS

It was found that 51.1% of the drivers were at risk of OSA, 17.3% had bad sleep quality, and 8.9% had excessive daytime sleepiness (EDS). The association between psychological distress, OSA (OR = 1.67; CI 95% 0.99-2.83; p = 0.057), bad sleep quality (OR = 2.58; CI 95% 1.52-4.37; p < 0.001), and EDS (OR = 1.65; CI 95% 0.83-3.30; p = 0.151) was assessed.

CONCLUSIONS

The high prevalence of sleep problems, especially suspected OSA, and low quality of sleep in truck drivers can worsen the general and psychological wellbeing of the workers. Educational programs focusing on sleep hygiene and behavioral interventions are needed to promote adequate sleep habits and improve individual and public health.

Does stress influence sleep patterns, food intake, weight gain, abdominal obesity and weight loss interventions and vice versa?

Decades of research have reported only weak associations between the intakes of specific foods or drinks and weight gain and obesity. Randomized controlled dietary intervention trials have only shown very modest effects of changes in nutrient intake and diet composition on body weight in obese subjects. This review summarizes the scientific evidence on the role mental stress (either in or not in association with impaired sleep) may play in poor sleep, enhanced appetite, cravings and decreased motivation for physical activity. All these factors contribute to weight gain and obesity, possibly via decreasing the efficacy of weight loss interventions. We also review evidence for the role that lifestyle and stress management may play in achieving weight loss in stress-vulnerable individuals with overweight.

Uptake of health services among truck drivers in South Africa: analysis of routine data from nine roadside wellness centres

BACKGROUND

Long-distance truck drivers are occupationally susceptible to poor health outcomes. Their patterns of healthcare utilisation and the suitability of healthcare services available to them are not well documented. We report on truck driver healthcare utilisation across South Africa and characterise the client population of the clinics serving them for future service development.

METHODS

We analysed anonymised data routinely collected over a two-year period at nine Roadside Wellness Centres. Associations between services accessed and socio-demographic characteristics were assessed using univariable and multivariable logistic regression models.

RESULTS

We recorded 16,688 visits by 13,252 individual truck drivers (average of 1.26 visits/person) who accessed 17,885 services for an average of 1.07 services/visit and 1.35 services/person. The mean age of truck drivers was 39 years. Sixty-seven percent reported being in stable relationships. The most accessed services were primary healthcare (PHC)(62%) followed by HIV (32%). Low proportions (≤6%) accessed STI,TB and malaria services. Most visits were characterised by only one service being accessed (93%, n = 15,523/16,688). Of the remaining 7% of visits, up to five services were accessed per visit and the combination of TB /HIV services in one visit remained extremely low (<1%, n = 14/16,688). Besides PHC services at the beginning of the reporting period, all service categories displayed similar seasonal utilisation trends(i.e. service utilisation peaked in the immediate few months post clinics opening and substantially decreased before holidays). Across all service categories, younger truck drivers, those with a stable partner currently, and those of South African origin were the main clinic attendees. Older truck drivers (≥40 years) were more likely to access TB and PHC services, yet less likely to access HIV and STI services. Those with stable partners were less likely to access STI and TB services but more likely to access malaria and PHC services. South African attendees were more likely to access PHC, while attendees from other nationalities were more likely to access HIV and malaria services.

CONCLUSIONS

This utilisation analysis shows that tailored services assist in alleviating healthcare access challenges faced by truck drivers, but it underscores the importance of ensuring that service packages and clinics speak to truck drivers' needs in terms of services offered and clinic location.

Multiple Conditions Increase Preventable Crash Risks Among Truck Drivers in a Cohort Study

OBJECTIVE

This study aims to quantify the crash risk for truck drivers with multiple comorbid medical conditions, after adjusting for confounders.

METHODS

This retrospective cohort of 38,184 drivers evaluated concomitant medical conditions and subsequent crash data between January 1, 2005, and October 31, 2012. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated for any cause and preventable crashes of varying severity.

RESULTS

Drivers with three or more medical conditions had a significantly increased risk of preventable Department of Transportation (DOT) reportable crashes (HR = 2.53, 95% CI = 1.65 to 3.88) and preventable crashes with injuries (HR = 2.23, 95% CI = 1.09 to 5.31) after adjustment for covariates. Similarly, adjusted HRs were 2.55 (95% CI = 1.37 to 4.73) for any cause DOT-reportable crashes and 3.21 (95% CI = 1.18 to 8.75) for any cause crashes with injuries.

CONCLUSIONS

Having three concomitant medical conditions may be a statistically significant risk factor for preventable and any cause DOT-reportable crashes and crashes with injuries.

Truck Drivers' Use of the Internet: A Mobile Health Lifeline

Because of their social isolation, irregular and unpredictable schedules, limited access to health care, and long periods of travel, long-haul truckers may benefit from the use of mobile health applications on Internet-capable devices. The purpose of this study was to determine Internet access and usage among a sample of long-haul truck drivers. In this cross-sectional study, truck drivers completed a pencil and paper survey with questions on demographics, work and health histories, and Internet access and usage for both personal and job reasons. A total of 106 truck drivers were recruited from trucking industry trade shows, by word of mouth, and directly from trucking companies. Overall, the truck drivers' use of the Internet was limited. Their usage for personal and job-related reasons differed. Social connectivity and access to health and wellness information were important during personal usage time. Job-related Internet use was highly practical, and applied to seeking information for directions and maps, fuel stops and pricing, and communicating with employers or transmitting documents. Age and experience were associated with Internet use. Younger, less-experienced drivers used the Internet more than older, experienced drivers. Targeted mobile health messaging may be a useful tool to inform truck drivers of health conditions and plans, and may provide links to primary care providers needing to monitor or notify drivers of diagnostic results or treatment plans.