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Objectives: This study aimed to investigate the impact of a 6-month health intervention on truck drivers' cardiovascular reactivity to stress and whether cardiovascular reactivity was predictive of depression, anxiety, or fatigue symptoms at 6-month follow-up., Methods: Two hundred thirty-eight truck drivers completed a 6-month cluster randomized controlled trial to increase physical activity and completed a stress protocol (Stroop and mirror-tracing tasks) with measurements of heart rate, systolic blood pressure, and diastolic blood pressure taken, alongside fatigue, anxiety, and depressive symptoms assessment. Measures were taken at 0 and 6 months., Results: Analyses showed a negative relationship between 0-month diastolic blood pressure reactivity and 6-month persistent fatigue. Trends toward negative relationships between systolic blood pressure reactivity and future anxiety and fatigue symptoms at 6 months were evident., Conclusions: Our findings may have serious implications, as fatigue can be a major cause of road traffic collisions in truck drivers., Competing Interests: Conflicts of interest: None declared., (Copyright © 2022 American College of Occupational and Environmental Medicine.)

Objectives: Sleep variability levels are unknown in heavy goods vehicle (HGV) drivers yet are associated with adverse health outcomes and reduced driver vigilance when high., Methods: Two hundred and thirty-three HGV drivers recruited across 25 UK depots provided sleep variability, sleep duration, and sleep efficiency data via wrist-worn accelerometry (GENEActiv) over 8 days. Sleep variability indicators included social jetlag (the difference in midpoint of the sleep window between work and nonworkdays) and intraindividual variability of sleep window onset time, out-of-bed time, and sleep duration., Results: Fifty-three percent of drivers experienced social jetlag (≥1 hour), and 27% experienced high (>2 hours) social jetlag. Drivers with the highest sleep variability had the shortest sleep duration and lowest sleep efficiency during workdays., Conclusions: Drivers with high sleep variability may experience more fatigue when driving given the poor sleep outcomes during workdays observed., Competing Interests: Conflict of interest: None declared., (Copyright © 2022 American College of Occupational and Environmental Medicine.)

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., Competing Interests: The authors report no conflicts of interest., (Copyright © 2022 American College of Occupational and Environmental Medicine.)

Objective: The aim of this study was to examine the effects of implementing a lifestyle health behavior intervention on cardiovascular risk markers in a sample of lorry drivers., Methods: Fifty-seven males participated in the pre-post evaluation of a multicomponent 12-week intervention., Results: Favorable changes in several cardiovascular health indicators were observed, including fasting blood glucose (-0.6 mmol/L), LDL-Cholesterol (-0.7 mmol/L), total cholesterol (-0.7 mmol/L), waist-hip ratio (-0.10), and waist circumference (-2.5 cm) (P < 0.01). The proportion of participants with a more than 10% risk of a cardiovascular event in the next 10 years was reduced by 12% (P < 0.05). A 21%, 12%, and 7.5% reduction in drivers with pre-diabetes (P < 0.001), undiagnosed diabetes (P < 0.05), and the metabolic syndrome (P < 0.05), respectively, was observed., Conclusion: This study highlights the feasibility of implementing a multicomponent health intervention within the transport setting and provides preliminary evidence of its beneficial effects on some markers of health.