Using Serial Trichotomization to Determine Fitness to Drive in Medically At-Risk Drivers.

IMPORTANCE: Clinical tests that identify fit and unfit drivers with 100% sensitivity and specificity would reduce uncertainty and improve efficiency of occupational therapists performing comprehensive driving evaluations (CDEs). OBJECTIVE: To examine whether serial trichotomization of clinical tests predicts pass-fail outcomes with 100% sensitivity and specificity in a sample of medically at-risk drivers and in drivers with and without cognitive impairment (CI) referred for a CDE. DESIGN: Retrospective data collection and analysis of scores on the Montreal Cognitive Assessment; Trail Making Test, Part A and Part B; and the Useful Field of View® Subtests 1 to 3 and outcomes on the CDE (pass-fail or indeterminate requiring lessons and retesting). Receiver operating characteristic curves of clinical tests were performed to determine 100% sensitivity and specificity cut points in predicting CDE outcomes. Clinical tests were arranged in order from most to least predictive to identify pass-fail and indeterminate outcomes. SETTING: A driving assessment clinic. PARTICIPANTS: Among 142 medically at-risk drivers (M age = 69.2 yr, SD = 14.1), 66 with CI, 46 passed and 39 failed the CDE; 57 were indeterminate. OUTCOMES AND MEASURES: On-road pass-fail outcomes. RESULTS: Together, the six clinical tests predicted 62 pass and 49 fail outcomes in the total sample; 21 pass and 34 fail outcomes in participants with CI; and 58 pass and 14 fail outcomes in participants without CI. CONCLUSIONS AND RELEVANCE: Serial trichotomization of clinical tests increases the accuracy of making informed decisions and reduces the number of drivers undergoing unnecessary on-road assessments. Plain-Language Summary: Clinical tests and their cut points that identify fit and unfit drivers vary substantially across settings and research studies. Serial trichotomization is one method that could help control for this variation by combining clinical test scores showing 100% sensitivity and specificity to identify pass (fit drivers) and fail outcomes (unfit drivers) and to reduce the number of drivers undergoing unnecessary on-road assessments.

Health Comparisons Between Truck Drivers and the General Population Using the Canadian Community Health Survey.

BACKGROUND: This study examined and compared risk factors and health conditions of truck drivers compared with the general Canadian population. METHODS: This study used the Canadian Community Health Survey consisting of 991 male truck drivers and 29,958 male respondents of the general population. RESULTS: Compared with the general population, truck drivers were older, less educated, had lower incomes, worked more hours, and were more likely to be widowed/separated/divorced. In addition, truck drivers had significantly higher rates of cardiovascular disease and obesity and were more likely to be sedentary, smoke, drive when fatigued, and eat unhealthy compared with the general population. CONCLUSIONS: Multicomponent interventions are needed to address the poor lifestyle practices of truckers to reduce the high rates of morbidity.

Body Mass Index and Waist Circumference Correlates With Lifestyle and Health in Long-Haul Truck Drivers.

INTRODUCTION: This study examined and compared the association between body mass index (BMI) and BMI with waist circumference (WC) on lifestyle measure and health outcomes in Canadian long-haul truck drivers (LHTDs). METHODS: Two hundred LHTDs completed a survey on diet and physical activity, and participated in objective measures of height, weight, WC, and blood pressure. RESULTS: More than half of the sample was classified as obese (57%). Body mass index risk was significantly associated with poorer health ( P < 0.05), increased systolic and diastolic blood pressure, increased body fat ( P < 0.001), and sleep apnea ( P < 001). When BMI + WC was used, additional significant associations were observed with age, years of experience, eating breakfast, and hypertension and malignancy. CONCLUSION: Body mass index + WC is a more sensitive measure in assessing cardiometabolic risk in LHTDs than using BMI alone.

An Agenda for Advancing Research and Prevention at the Nexus of Work Organization, Occupational Stress, and Mental Health and Well-Being.

Work characteristics and worker well-being are inextricably connected. In particular, the characteristics of work organization shape and perpetuate occupational stress, which contributes to worker mental health and well-being outcomes. Consequently, the importance of understanding and addressing connections between work organization, occupational stress, and mental health and well-being-the focus of this Special Issue-increasingly demand attention from those affected by these issues. Thus, focusing on these issues in the long-haul truck driver (LHTD) sector as an illustrative example, the purpose of this commentary is as follows: (1) to outline current research approaches and the extant knowledge base regarding the connections between work organization, occupational stress, and mental health; (2) to provide an overview of current intervention strategies and public policy solutions associated with the current knowledge base to protect and promote worker mental health and well-being; and (3) to propose a two-pronged agenda for advancing research and prevention for workers during the 21st century. It is anticipated that this commentary, and this Special Issue more broadly, will both echo numerous other calls for building knowledge and engaging in this area and motivate further research within complementary current and novel research frameworks.

Clinical Tests Predicting On-Road Performance in Older Drivers with Cognitive Impairment.

Background. The Trail Making Test Part B (Trails B) and Useful Field of View® (UFOV) can predict on-road outcomes in drivers with cognitive impairment (CI); however, studies have not included drivers referred for comprehensive driving evaluations (CDEs), who typically have more severe CI. Purpose. We determined the predictive ability of Trails B and UFOV on pass/fail on-road outcomes in drivers with CI (Montreal Cognitive Assessment <26) referred for CDEs. Method. Retrospective data collection from two driving assessments centers (N = 100, mean age = 76.2 ± 8.8 years). Findings. The Trails B (area under the curve [AUC] = .70) and UFOV subtests 2 (AUC = .73) and 3 (AUC = .76) predicted pass/fail outcomes. A cut-point ≥467 ms on UFOV subtest 3 better-predicted pass/fail outcomes with 78.9% sensitivity and 73.5% specificity. In comparison, a cut-point ≥3.58 min on Trails B had lower sensitivity (73.7%) and specificity (61.8%). Implications. The UFOV subtest 3 may be more useful than the Trails B for predicting pass/fail outcomes in drivers with more severe CI referred for CDEs.

Driving Errors Predicting Pass/Fail On-Road Assessment Outcomes Among Cognitively Impaired Older Drivers.

Older drivers with cognitive impairment (CI)/dementia make significantly more driving errors than healthy controls; however, whether driving errors are predictive of pass/fail outcomes in older drivers with CI/dementia are unclear. This study determined the driving errors that predicted failing an on-road assessment in drivers with CI. We retrospectively collected comprehensive driving evaluation data of 80 participants (76.1 ± 9.3 years) from an Ontario driving assessment center. Adjustment to stimuli (area under the curve [AUC] = 0.88), lane maintenance (AUC = 0.84), and speed regulation errors (AUC = 0.85) strongly predicted pass/fail outcomes. Worse performance on the Trails B (time) and Useful Field of View® (Subtest 2, Subtest 3, and risk index) were significantly correlated with adjustment to stimuli (p < .05), lane maintenance (p < .05), and speed regulation errors (p < .05). Adjustment to stimuli, lane maintenance, and speed regulation errors may be critical indicators of failing an on-road assessment in older drivers with CI. Prioritizing these errors may help identify at-risk drivers.

Do motorcycle helmets reduce road traffic injuries, hospitalizations and mortalities in low and lower-middle income countries in Africa? A systematic review and meta-analysis.

BACKGROUND: Studies in Africa have examined the association between helmet use and injury prevention, however, there has been no systematic review to synthesize the literature within an African context nor has there been any meta-analysis examining the effect of helmet use on injury prevention. METHODS: The review was performed in accordance with the Joanna Briggs Institute for Systematic Reviews. Articles were searched using several databases (e.g. CINAHL, OVID Medline) and select gray literature (e.g. TRID) sources. Articles were included if they were quantitative studies published in English between 2000 and 2019 and examined the association between motorcycle helmet use with head injuries, hospitalizations, and deaths in low- and lower-middle income countries in Africa with comprehensive motorcycle helmet laws. A meta-analysis was performed using pooled effect sizes assessing the impact of helmet use on reducing head injuries. RESULTS: After screening 491 articles, eight studies met the inclusion criteria. Helmet use ranged from 0 to 43%. The mean age of being involved in a crash was 30 years with males being two times more likely to be involved in motorcycle crashes than females. Drivers (riders) were more likely to be involved in a crash, followed by passengers and then pedestrians. Helmet use reduced injury severity and provided an 88% reduction in serious head injuries (OR 0.118, 95% CI: 0.014-0.968, p = 0.049). CONCLUSIONS: In our study, helmet usage significantly reduced the likelihood of fatal head injuries. African countries with no helmet laws should consider adopting helmet use policies to reduce severe head related injuries from motorcycle crashes.

Health and Safety Practices and Perceptions of COVID-19 in Long-Haul Truck Drivers.

OBJECTIVE: To examine long-haul truck drivers (LHTD) perceptions of COVID-19 and their use of health and safety practices. METHODS: 146 LHTD completed an online survey to collect data on their experiences with COVID-19. Data were analyzed using descriptive and inferential statistics, and thematic analysis for open-ended responses. RESULTS: LHTD were aged from 22 to 79 years (mean age 48.1 ±â€Š11.8); 82.2% were men. Almost half of the sample were not concerned about COVID-19. Those not concerned were significantly less likely to employ health and safety practices (eg, wearing masks, social distancing), were less educated and healthier. They also perceived COVID-19 to not be real or a serious threat to their health. CONCLUSIONS: Tailored education approaches are needed to provide evidence-based data on COVID-19 risks and complications.

The Impact of COVID-19 on the Work Environment in Long-Haul Truck Drivers.

OBJECTIVE: To describe and compare the working conditions of long-haul truck drivers (LHTD) before and during the Coronavirus (COVID-19) pandemic and to assess the perceptions of LHTDs on accessing food, restrooms, and parking. METHODS: An online survey was disseminated between August 2020 and March 2021 to various trucking organizations across Canada to collect data on health and wellness during COVID-19. Data were analyzed using descriptive and inferential statistics, and thematic analysis for open-ended responses. RESULTS: The sample included 146 LHTD (mean age 48.1 ±â€Š11.8; 82.2% were men). Participants reported issues with finding parking, washrooms, and food. Compared with before COVID-19, LHTD worked significantly more hours and consumed more caffeine; and more than 50% reported being fatigued. CONCLUSIONS: Improving the working conditions of LHTD is critical to support their health and wellbeing, both during and after the pandemic.

Predictors of self-rated oral health in Canadian Indigenous adults.

OBJECTIVES: The purpose of this study was to: (1) compare oral health indicators between Indigenous adults and the general population and (2) examine the predictors of poor self-rated oral health in the Indigenous population. METHODS: Data from the 2017-2018 cycle of the Canadian Community Health Survey was used and included 943 Indigenous and 20,011 non-Indigenous adults. Independent variables included demographic information, lifestyle behaviours, dental concerns and care utilization, and transportation access. The dependent variable was self-rated oral health. A logistic regression was performed to determine predictors of poor self-rated oral health. RESULTS: More than half of the Indigenous sample were aged between 35 and 64 years (57.3%); 57.8% were female. Compared to the general population, the Indigenous group were significantly more likely to have no partner, have less post-secondary education, and have an income of less than $40,000. Almost a fifth of the Indigenous sample self-rated their oral health as poor (18.5%) compared to 11.5% in the general population. Indigenous participants reported significantly poorer general health, had poorer oral care practices, and lifestyle behaviours than the general population (all p < .001). Indigenous adults having poor self-rated oral health was predicted by poorer general health, being a smoker, male, bleeding gums, persistent pain, feeling uncomfortable eating food, avoiding foods, and not seeking regular dental care. CONCLUSIONS: There are many predictors of poor self-rated oral health, many of which are preventable. Providing culturally adapted oral health care may improve the likelihood of Indigeneous adults visiting the dentist for preventative care.

Long-Haul Truck Driver Training Does Not Meet Driver Needs in Canada.

INTRODUCTION: Training standards for long-haul truck drivers (LHTD) are rapidly evolving in Canada, yet the opinions of the drivers themselves have not been adequately considered. The purpose was to survey LHTD on their work training history and to examine LHTD perceptions of driver training and licensing protocols. METHODS: LHTD were recruited across two Western Canadian provinces from seven different truck stops. The sample completed 207 surveys and 67 semi-structured interviews. RESULTS: The average age of the participants was 52.5 ± 11.5 years (range 24-79); 96% were men. Approximately 33% of the LHTD had at least one crash. Those who did not receive formal driver training were significantly more likely to crash than those who had received training. Participants stated that current training standards are inadequate for the industry, particularly for new drivers. According to participants, entry-level curriculums should consist of both classroom and practical training, as well as on-road observation with a senior mentor. LHTD reported that many new drivers are not equipped to drive in various contexts and settings (e.g., mountains, slippery roads). CONCLUSIONS: LHTD are not confident in the current training guidelines for novice truck drivers. Revisions to the training curriculum and standardization across Canada should be considered. PRACTICAL APPLICATION: A federal mandatory entry-level training program is needed in Canada to ensure that all new LHTD ascertain the necessary skills to drive safely. Such a program requires government involvement and input from LHTD to facilitate appropriate licensure and consistent training for all drivers.

The SIMARD-MD is not an Effective Driver Screening Tool for Determining Fitness-To-Drive.

BACKGROUND: Studies have reported poor sensitivity and specificity of the Screen for the Identification of Cognitively Impaired Medically At-Risk Drivers, a modification of the DemTech (SIMARD-MD) to screen for drivers with cognitive impairment. The purpose of this study was to determine whether the SIMARD-MD can accurately predict pass/fail on a road test in drivers with cognitive impairment (CI) and healthy drivers. METHODS: Data from drivers with CI were collected from two comprehensive driving assessment centres (n=86) and compared with healthy drivers (n=30). All participants completed demographic measures, clinical measures, and a road rest (pass/fail). Analyses consisted of correlations between the SIMARD-MD and the other clinical measures, and a receiver-operating-characteristic (ROC) curve to determine the predictive ability of the SIMARD-MD. RESULTS: All healthy drivers passed the road test compared with 44.2% of the CI sample. On the SIMARD-MD, the CI sample scored significantly worse than healthy drivers (p < .001). The ROC curve showed the SIMARD-MD, regardless of any cut-point, misclassified a large number of CI individuals (AUC=.692; 95% CI = 0.578, 0.806). CONCLUSIONS: Given the high level of misclassification, the SIMARD-MD should not be used with either healthy drivers or those with cognitive impairment for making decisions about driving.

Examining the Association Between Alcohol Consumption and Health Conditions in Community Dwelling Older Adults.

The Canadian low-risk drinking guidelines were developed for adults, however, the applicability to older adults was not considered in the development of the guidelines. The objectives of this study were to: (1) to examine alcohol use in community dwelling older males and females using the current Canadian guidelines; (2) to test lower limits of alcohol use on various health factors; and (3) to determine health factors associated with high-risk drinking in older males and females. Data on community dwelling older adults (aged 65 +) was used from the Canadian Injury Prevention Survey (n = 2274). Descriptive statistics and comparative analysis were used to compare alcohol consumption categories. Logistic regressions were performed to examine the relationships between health factors and alcohol consumption categories. 70% of the sample reported having at least one drink per week; 4.5% of males and 6.8% of females were high-risk drinkers according to the current guidelines. There were no significant associations between the current alcohol categories with demographics, behavioral risk factors or health conditions. Using the new guidelines, 21% of males and females were classified as high-risk drinkers, respectively. Diabetes and having an illness or disability before retirement was protective of high-risk drinking in males while having diabetes and poorer physical health was protective of high-risk drinking in females. The prevalence of high-risk drinkers is dependent on what alcohol classifications are used. Further studies are needed to determine the causal relationships between health-related factors and alcohol using standardized definitions of alcohol consumption.

Vaccine hesitancy among parents of preschoolers in Canada: a systematic literature review.

OBJECTIVES: The purpose was to synthesize the available literature on what factors influence vaccine hesitancy of parents of preschoolers in Canada. METHODS: Databases (e.g., CINAHL, PubMed, OVID, Proquest) were searched for relevant research articles produced between January 2009 and October 2019. Articles were required to examine vaccine uptake in children aged 0-7, in the English language, and focused within a Canadian context. Articles were excluded if they focused on uptake of the influenza vaccine and if the study population was children with chronic health conditions. A total of 367 articles were reviewed and 12 met the criteria for inclusion in this review. SYNTHESIS: This review found that between 50% and 70% of children are completely vaccinated at 2 years old, with up to 97% having received at least one vaccine, and 2-5% receiving no vaccines. This review found that trust and access to health care providers is significantly associated with vaccine uptake, likely more important than parents' vaccine knowledge, and may compensate for challenges related to socio-economic status and family dynamics. CONCLUSION: Vaccine programs need to be created that are accessible to all families, with an awareness of the significant impact of trust on vaccine uptake. Future research should include consistent measures of vaccine uptake, and data from First Nation communities, and should examine how increased trust between health care providers and parents of preschool children would increase vaccine uptake in Canada.

Impact of limited rest areas on truck driver crashes in Saskatchewan: a mixed-methods approach.

BACKGROUND: Long-haul truck drivers (LHTDs) suffer from long work hours often resulting in fatigue. Although several studies have reported that fatigue can contribute to crashes, no study has identified the location and patterns of fatigue-related crashes and solicited truck driver feedback on potential mitigation strategies. The purpose of this study is 1) to map the location of fatigue-related crashes and 2) examine the perceptions of truck drivers concerning fatigue-related crashes. METHODS: Using databases from the Saskatchewan Government Insurance, information on LHTD demographics, crashes and their causes, as well as crash location was analyzed. All fatigue-related crashes were then documented and mapped. Additionally, we interviewed 67 LHTDs (mean age = 53.0 ± 12.9; range 23-89; 95% were men) asking questions about fatigue, access to truck stops/rest areas, and provided recommendations for improvement. All interviews were subsequently analyzed using thematic analyses. RESULTS: On average, there were 20 fatigue-related crashes per year over the 10-year period. Fatigue-related crashes were common across Saskatchewan, however, there was a concentration of crashes along major roadways between major cities. There was a significant association between crashes with age and experience. Despite many LHTDs being fatigued, there was a lack of truck stops/rest areas along highway routes. LHTDs suggested having access to truck stops/rest areas 250-400 km apart with running water and washrooms available. CONCLUSIONS: Additional truck stops and rest areas are needed in Saskatchewan to ensure LHTDs have more opportunities for rest to reduce fatigue in general, as well as to reduce the risk of fatigue-related crashes.

Medical Conditions and Crash Risk in Commercial Motor Vehicle Drivers.

OBJECTIVE: The purpose of this study was to examine the association between diagnosed medical conditions and prospective crashes in commercial motor vehicle (CMV) drivers. METHODS: Three databases (demographics, medical conditions, and crashes) from the Saskatchewan Government Insurance (SGI) were linked and filtered to examine whether various medical diagnoses were associated with prospective crashes from 2007 to 2017. Univariate and cox proportional hazard analysis were calculated for medical conditions and their association with crash risk. RESULTS: Crashes occurred on average within 2 years following a medical diagnosis. Between 16% and 21% of drivers with diabetes, vision impairment, sleep apnea and cardiovascular disease crashed post diagnosis. CONCLUSIONS: Licensing authorities and policy makers should consider further assessment if a CMV driver has been diagnosed with either diabetes or multiple sclerosis.

Risk Factors for Depressive Symptoms in Long-Haul Truck Drivers.

Work-related stress is a salient risk factor for depression. While long-haul truck drivers (LHTDs) face a myriad of occupational pressures and demands, little research has examined predictors of depressive symptoms in this occupational group. The purpose of this study was to identify predictors of depressive symptoms in LHTDs. A cross-sectional study was used to examine depressive symptoms, health and working conditions in a sample of 107 LHTDs (mean age of 50.7 ± 12.3; 95.6% were men) at truck stops from five Western Canadian cities. The findings show that 44% of LHTDs reported symptoms of depression in the past 12 months. Severe work-related stress, the use of psychiatric medications and broken sleep were significant predictors of depressive symptomology accounting for 41% of the variance. The findings suggest that LHTDs experience a host of occupational stressors that are embedded within the transportation industry that may increase the risk for depressive symptoms. Mental health promotion efforts that improve sleep quality, decrease work-related demands and pressures, and increase the use of psychiatric medication may reduce rates of depressive symptoms among LHTDs.

A public health approach to mobilizing community partners for injury prevention: A scoping review.

OBJECTIVES: Reducing injuries in adults requires work with diverse stakeholders across many sectors and at multiple levels. At the local level, public health professionals need to effectively bring together, facilitate, and support community partners to initiate evidence-based efforts. However, there has been no formal review of the literature to inform how these professionals can best create action among community partners to address injuries in adults. Thus, this scoping review aims to identify theories, models or frameworks that are applicable to a community-based approach to injury prevention. METHODS: Searches of scientific and less formal literature identified 13,756 relevant items published in the English language between 2000 and 2016 in North America, Europe and Australia. After screening and review, 10 publications were included that (1) identified a theory, framework or model related to mobilizing partners; and (2) referred to community-based adult injury prevention. RESULTS: Findings show that use of theories, frameworks and models in community-based injury prevention programs is rare and often undocumented. One theory and various conceptual models and frameworks exist for mobilizing partners to jointly prevent injuries; however, there are few evaluations of the processes to create community action. CONCLUSIONS: Successful community-based injury prevention must build on what is already understood about creating partnership action. Evaluating local public health professional injury prevention practice based on available theories, models and frameworks will identify successes and challenges to inform process improvements. We propose a logic model to more specifically guide and evaluate how public health can work locally with community partners.

A Literature Review of Psychotropic Medications and Alcohol as Risk Factors for Falls in Community Dwelling Older Adults.

Psychotropic medications and alcohol are potential risk factors for falls in older adults. However, there has been no appraisal of the literature on whether these medications, both singly and in combination with alcohol, are associated with falls in community dwelling older adults (those aged 60 years and older living independently without care). Four databases (PubMed, EMBASE, CINAHL and SCOPUS) and the grey literature (i.e. WHO, Public Health Agency of Canada) were searched using the following terms: benzodiazepine, anti-psychotics, anti-depressants, anti-epileptic, lithium, memantine, anti-hypertensives: drug or medication, aged or elderly or older adult or senior, accidental falls or falls or falling, and alcohol. Studies were included if (1) they were primary studies; (2) included community dwelling persons aged 60 years and older; (3) alcohol use was an independent variable; (4) studied medications of interest; (5) falls was the outcome variable; and (6) published in English. Articles published until July 2018 were included. The search yielded 29 studies. The findings show that both benzodiazepines and antidepressants (particularly SSRIs) are associated with fall risk while antipsychotics, anti-hypertensives, anti-epileptics and alcohol are not. No statements were made about lithium or memantine due to a lack of research studies. Future studies with adequate power to detect significant associations between psychotropic medications and falls are needed, especially among individual benzodiazepine and antidepressant medications.

Clinical Complexity and Use of Antipsychotics and Restraints in Long-Term Care Residents with Parkinson's Disease.

BACKGROUND: Patients with Parkinson's disease (PD) and/or Parkinsonism are affected by a complex burden of comorbidity. Many ultimately require institutional care, where they may be subject to the application of physical restraints or the prescription of antipsychotic medications, making them more vulnerable to adverse outcomes. OBJECTIVES: The objectives of this paper are to: 1) describe the clinical complexity of older institutionalized persons with PD; and 2) examine patterns and predictors of restraint use and prescription of antipsychotics in this population. METHODS: Population-based cross-sectional cohort study. Residents with PD and/or Parkinsonism living in long-term care (LTC) facilities in 6 Canadian provinces and 1 Northern Territory and Complex Continuing Care (CCC) facilities in Manitoba and Ontario, Canada. The RAI MDS 2.0 instrument was used to assess all LTC residents and CCC residents. Clinical characteristics and the prevalence of major comorbidities were examined. Multivariate modeling was used to identify the characteristics of PD residents most associated with the prescription of antipsychotics and the use of restraints in LTC and CCC facilities. RESULTS: Residents with PD in LTC and CCC exhibit a high prevalence of dementia, major psychiatric disorders, stroke, heart failure, chronic obstructive pulmonary disease and diabetes mellitus. More than 90% of LTC and CCC residents with PD had cognitive impairment; with more than half having moderate to severe impairment. Residents with PD were more likely to receive antipsychotics than those without PD. Antipsychotic use was associated with psychosis and aggressive behaviours, but also with unsteady gait and higher comorbidity and medication count. Similarly, although more common in CCC than LTC facilities, both psychosis and aggressive behaviours were associated with restraint use, as was greater cognitive and functional impairment, and urinary incontinence. Younger age, male gender, and lower physician access were all associated with greater antipsychotic and restraint use. CONCLUSIONS: LTC and CCC residents with PD are very complex medically. Use of antipsychotics and restraints is common, and their use is often associated with factors other than psychosis or aggression.