Time in Nature Associated with Decreased Fatigue in UK Truck Drivers

Investigation of factors predicting quality of life of drivers working on long-haul transport: pain, fatigue, stress and work role functions

This cross-sectional study aimed to investigate the factors that affect the quality of life of drivers. Data were collected from 62 drivers working on long-haul transport who completed the short form-12 (SF-12), perceived stress scale (PSS), Nordic musculoskeletal questionnaire (NMQ), work role function questionnaire-27 (WRFQ-27) and visual analog scale (VAS). According to the regression analysis, the physical health-related quality of life of drivers was predicted by age, marital status, unemployment, having an extra job, pain and stress (R2 = 0,663). Due to intense working conditions, employers need to take various precautions against drivers' stress, fatigue, pain and job requirements. In addition, it is important for these people to be directed to occupational therapy services in order to increase their occupational balance and quality of life.

Working conditions of commercial drivers: a scoping review of psychosocial work factors, health outcomes, and interventions

BACKGROUND

Psychosocial work factors significantly influence both organisational and worker health. Poor management of these factors can create precarious working conditions, risking drivers' health. This review maps evidence on the health impact of these factors and health interventions targeting the working conditions and unhealthy habits of commercial drivers.

METHOD

The search was conducted in four main databases (PubMed, Central, JSTOR and Dimensions Ai) and other sources like Google Scholar. In All, 28,039 articles were retrieved and through a rigorous screening process, 68 records were included in this scoping review.

RESULTS

This review found that drivers work in precarious conditions like long driving hours, low job resources and social support, low job control, poor remuneration, workplace abuse and sexual harassment, work-family conflict, lone driving hour, irregular shift work, lack or insufficient breaks during work hours and difficult access to social protection and sanitation facilities. These precarious working conditions may expose drivers to mental health issues, cardiovascular diseases, HIV/AIDs, stroke, chronic fatigue, kidney and bladder issues and musculoskeletal pains. Most health promotion interventions target behaviour at the individual level, such as the benefits of a healthy diet and exercise, with little effort to improving working conditions.

CONCLUSION

Employers in the road transport sector need to implement health promotion interventions that focus on drivers' well-being. Additionally, improving working conditions and enforcing occupational health and safety standards in the road transport sector are essential for creating a safe and healthy workplace for all commercial drivers.

A multicomponent structured health behaviour intervention to improve physical activity in long-distance HGV drivers: the SHIFT cluster RCT

Background

Long-distance heavy goods vehicle drivers are exposed to a multitude of risk factors associated with their occupation. The working environment of heavy goods vehicle drivers provides limited opportunities for a healthy lifestyle, and, consequently, heavy goods vehicle drivers exhibit higher than nationally representative rates of obesity and obesity-related comorbidities, and are underserved in terms of health promotion initiatives.

Objective

The aim of this trial was to test the effectiveness and cost-effectiveness of the multicomponent Structured Health Intervention For Truckers (SHIFT) programme, compared with usual care, at both 6 months and 16–18 months.

Design

A two-arm cluster randomised controlled trial, including a cost-effectiveness analysis and process evaluation.

Setting

Transport depots throughout the Midlands region of the UK.

Participants

Heavy goods vehicle drivers.

Intervention

The 6-month SHIFT programme included a group-based interactive 6-hour education session, health coach support and equipment provision [including a Fitbit® (Fitbit Inc., San Francisco, CA, US) and resistance bands/balls to facilitate a ‘cab workout’]. Clusters were randomised following baseline measurements to either the SHIFT arm or the control arm.

Main outcome measures

Outcome measures were assessed at baseline, with follow-up assessments occurring at both 6 months and 16–18 months. The primary outcome was device-measured physical activity, expressed as mean steps per day, at 6-month follow-up. Secondary outcomes included device-measured sitting, standing, stepping, physical activity and sleep time (on any day, workdays and non-workdays), along with adiposity, biochemical measures, diet, blood pressure, psychophysiological reactivity, cognitive function, functional fitness, mental well-being, musculoskeletal symptoms and work-related psychosocial variables. Cost-effectiveness and process evaluation data were collected.

Results

A total of 382 participants (mean ± standard deviation age: 48.4 ± 9.4 years; mean ± standard deviation body mass index: 30.4 kg/m2 ± 5.1 kg/m2; 99% male) were recruited across 25 clusters. Participants were randomised (at the cluster level) to either the SHIFT arm (12 clusters, n = 183) or the control arm (13 clusters, n = 199). At 6 months, 209 (54.7%) participants provided primary outcome data. Significant differences in mean daily steps were found between arms, with participants in the SHIFT arm accumulating 1008 more steps per day than participants in the control arm (95% confidence interval 145 to 1871 steps; p = 0.022), which was largely driven by the maintenance of physical activity levels in the SHIFT arm and a decline in physical activity levels in the control arm. Favourable differences at 6 months were also seen in the SHIFT arm, relative to the control arm, in time spent sitting, standing and stepping, and time in moderate or vigorous activity. No differences between arms were observed at 16–18 months’ follow-up. No differences were observed between arms in the other secondary outcomes at either follow-up (i.e. 6 months and 16–18 months). The process evaluation demonstrated that the intervention was well received by participants and that the intervention reportedly had a positive impact on their health behaviours. The average total cost of delivering the SHIFT programme was £369.57 per driver, and resulting quality-adjusted life-years were similar across trial arms (SHIFT arm: 1.22, 95% confidence interval 1.19 to 1.25; control arm: 1.25, 95% confidence interval 1.22 to 1.27).

Limitations

A higher (31.4%) than anticipated loss to follow-up was experienced at 6 months, with fewer (54.7%) participants providing valid primary outcome data at 6 months. The COVID-19 pandemic presents a major confounding factor, which limits our ability to draw firm conclusions regarding the sustainability of the SHIFT programme.

Conclusion

The SHIFT programme had a degree of success in positively impacting physical activity levels and reducing sitting time in heavy goods vehicle drivers at 6-months; however, these differences were not maintained at 16–18 months.

Future work

Further work involving stakeholder engagement is needed to refine the content of the programme, based on current findings, followed by the translation of the SHIFT programme into a scalable driver training resource.

Trial registration

This trial is registered as ISRCTN10483894.

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 10, No. 12. See the NIHR Journals Library website for further project information.

Parks and the Pandemic: A Scoping Review of Research on Green Infrastructure Use and Health Outcomes during COVID-19

Green infrastructure (GI) has long been known to impact human health, and many academics have used past research to argue for the potential importance of GI as a mechanism for maintaining or improving health within the context of the COVID-19 pandemic. This scoping review addresses the question: What evidence, if any, have researchers found of a relationship between green infrastructure use and health during the COVID-19 pandemic? Specifically, evaluating the (a) association of GI use with COVID-19 disease outcomes and (b) association of GI use with other health outcomes as impacted by the COVID-19 pandemic. Twenty-two studies were identified that measured GI use and studied it in relation to health outcomes during the pandemic. The studies were reviewed for the specific measures and types of GI use, level of analysis, specific types of health outcomes, and the conclusions reached with regard to GI use and health. Studies exploring COVID-19-specific health outcomes showed mixed results, while non-COVID health outcomes were more consistently improved through GI use, particularly with regard to improved mental health. While the evidence strongly suggests that GI use has played a protective role in non-COVID-19 physical and mental health during the pandemic, questions remain with regard to possible impacts on COVID transmission and mortality.

Modelling the Relationship between the Nature of Work Factors and Driving Performance Mediating by Role of Fatigue

Driving fatigue is a serious issue for the transportation sector, decreasing the driver’s performance and increasing accident risk. This study aims to investigate how fatigue mediates the relationship between the nature of work factors and driving performance. The approach included a review of the previous studies to select the dimensional items for the data collection instrument. A pilot test to identify potential modification to the questionnaire was conducted, then structural equation modelling (SEM) was performed on a stratified sample of 307 drivers, to test the suggested hypotheses. Based on the results, five hypotheses have indirect relationships, four of which have a significant effect. Besides, the results show that driving fatigue partially mediates the relationship between the work schedule and driving performance and fully mediates in the relationship between work activities and driving performance. The nature of work and human factors is the most common reason related to road accidents. Therefore, the emphasis on driving performance and fatigue factors would thereby lead to preventing fatal crashes and life loss.