Association Between Adult Attention Deficit Hyperactivity Disorder and Helmet Use Among Motorcycle Riders

Unhelmeted Riding, Drunk Riding, and Unlicensed Riding among Motorcyclists: A Population Study in Taiwan during 2011-2016

This study aimed to investigate the association between drunk riding, unhelmeted riding, unlicensed riding, and running-off-road (ROR) crashes. Multiple logistic regression was used to calculate the adjusted odds ratio (AOR) by using the National Taiwan Traffic Crash Dataset for 2011-2016. The results revealed that unhelmeted riding was associated with 138% (AOR = 2.38; CI (confidence interval) = 2.34-2.42) and 47% (AOR = 1.47; CI = 1.45-1.49) higher risks of drunk riding and unlicensed riding, respectively. The risk of unhelmeted riding increased with blood alcohol concentrations (BACs), and riders with the minimum BAC (0.031-0.05%) had nearly five times (AOR = 4.99; CI = 4.74-5.26) higher odds of unlicensed riding compared with those of riders with a negative BAC. Unhelmeted riding, drunk riding, and unlicensed riding were associated with 1.21 times (AOR = 1.21; CI = 1.13-1.30), 2.38 times (AOR = 2.38; CI = 2.20-2.57), and 1.13 times (AOR = 1.13; CI = 1.06-1.21) higher odds of ROR crashes, respectively. The three risky riding behaviours (i.e., unhelmeted riding, drunk riding, and unlicensed riding) were significantly related to ROR crashes. The risk of unhelmeted riding and ROR crashes increased with BACs.

Assessing and Improving Fitness to Drive in the Elderly People: A Scoping Review of Policies and Guidelines

Background

This study has been conducted to analyze the processes, models, and policies to assess fitness to drive and improving driving in the elderly in the world.

Methods

The Arkesy and O'Malley frameworks were employed. Articles with at least one aspect of driving eligibility in the elderly were included. Expected data were collected using appropriate keywords from PubMed, Web of Science, Scopus, Embase, IranDoc, SID, and MagIran. Data were analyzed using the Content Analysis method.

Results

Out of 675 records, 24 papers and reports were included in the study that all of them were High-Income Countries (HICs). Among the studies that referred to the baseline age, the highest frequency was 70 yr old (4 studies). Vision assessment was the main item to judge driving fitness (mentioned in 75% of the studies). The in-person (5 studies) was the most common method of renewal. General practitioners were the principal performers to measure driving fitness (7 studies). Thirteen studies referred to the road tests as part of the driver's license renewal process. In most all reports and papers, there were policies on empowering the elderly driver, including providing safe driving tips, optional driving skills tests, holding retraining courses, etc. The most frequently supporting policies included introducing alternative transportation.

Conclusion

Most HICs have worthwhile experience in measuring and improving the fitness to drive in the elderly and enforce different laws according to social and political conditions. Utilizing these experiences by considering economic and social differences can be useful and practical for middle and low-income countries.

Barriers and factors associated with the use of helmets by Motorcyclists: A scoping review

Road Traffic Injuries (RTIs) have imposed a great global burden on public health. Motorcyclists and pedestrians comprise the most significant proportion of this burden. Several studies have demonstrated a link between helmet wearing and a decline in the impact of RTIs in motorcyclists. In this study, we aimed to review the barriers to helmet utilization by motorcyclists. This scoping review has been conducted in accordance with the guidelines for the systematic review of observational studies and the PRISMA Checklist. The search was conducted by using related keywords in EMBASE, PubMed, Scopus, and Cochrane Library. Four independent reviewers carried out the screening. The main outcomes of interest were barriers to helmet usage among motorcyclists, drawn from the finally included studies. Fifty-three records were selected for data extraction. According to these reports, the barriers and factors associated with helmet usage among motorcyclists were categorized into five entities as: legislations/enforcement strategies, helmet disadvantages (discomfort, visual/auditory blockage, and thermal dysregulation), risky behaviors (riding while drunk or high on drugs), sex and/or age factors, and the location and time of the injury event (rural vs. urban locations, day vs. night riding). From the perspective of policymakers, the findings of this review are of utmost importance and could be used in addressing the challenge of inadequate compliance with helmet use.

The Prevalence of Helmet Use and Predictive Factors Among Motorcyclists in Shahrekord, Iran in 2018

Background and aims: Motorcycle accidents are a major concern for countries. One of the most important risk factors for motorcyclists is the lack of helmet use. This study aimed to measure the rate of the helmet use and predictive factors in Shahrekord, Iran. Methods: Using simple random sampling method, this cross-sectional study was conducted in 2018 with a sample size of 350 motorcyclists. A researcher-made questionnaire was used to collect data, and the SPSS software version 24 was used to analyze the data. Results: The mean age of participants was 28.8 ± 10.1 years. Out of 350 participants, 15.1% and 1.4% of motorcyclists and their passengers used helmets. The most important predictors of helmet use were age more than 35 years, high education, and having a driving license. The most important reason for using the helmet was protection against injuries in accidents. Conclusion: According to our results, the rate of helmet use was low. Thus, more efforts should be made to intervene and train for the helmet use among community members with an emphasis on younger people, individuals with governmental jobs, and people with lower education level.

ADHD and accidents over the life span - A systematic review

Studies have demonstrated an increased risk of accidents and injuries in children, adolescents and adults with attention-deficit/hyperactivity disorder (ADHD). However, little is known about how accident risk may alter over the lifespan. Additionally, it would be important to know if the most common types of accidents and injuries differ in ADHD patients over different age groups. Furthermore, there is increasing evidence of an ameliorating effect of ADHD medication on accident risk. Lastly, the underlying risk factors and causal mechanisms behind increased accident risk remain unclear. We therefore conducted a systematic review focusing on the above described research questions. Our results suggested that accident/injury type and overall risk changes in ADHD patients over the lifespan. ADHD medication appeared to be similarly effective at reducing accident risk in all age groups. However, studies with direct comparisons of accident/injuries and effects of medication at different age groups or in old age are still missing. Finally, comorbidities associated with ADHD such as substance abuse appear to further increase the accident/injury risk.

Association between Adult Attention-Deficit/Hyperactivity Disorder and Driving Behaviors among Iranian Motorcyclists

Objective

To investigate the association between attention-deficit/hyperactivity disorder (ADHD) score and driving behaviors among motorcycle drivers in Iran.

Methods

This multi-center cross-sectional study was conducted on 1747 motorcyclists in three cities of Iran. We used a random sampling method in this study and gathered data using two standard questionnaires. Data were presented using descriptive statistics, also t-test, and ANOVA used for analysis.

Results

The mean age of participants was 27.41±8.80 years. ADHD scores of the participants ranged from 0 to 87, with a mean score 31±15.86. All risky driving behaviors (RDBs) were significantly associated with a higher mean of ADHD score. For example, driving with illegal speed (p<0.001), not wearing a crash helmet (p=0.016), driving while exhausting (p<0.001), talking with other passengers (p<0.001), being fined by the police in the past year (p=0.028), and maneuvering while driving (p<0.001) were related to a higher mean of ADHD score.

Conclusion

All RDBs were significantly associated with the ADHD score among motorcyclists in Iran. In this regard, health care providers should inform people with ADHD about the negative consequences associated with driving and ADHD. Public health policymakers should consider management of ADHD through a comprehensive approach to improve driving performance and competencies among motorcyclists in order to decrease RDBs and traffic accidents.

Adult ADHD screening scores and hospitalization due to pedestrian injuries: a case-control study

BACKGROUND

The aim of this study was to investigate the association between adult ADHD screening scores and hospitalization due to pedestrian injuries in a sample of Iranian pedestrians.

METHODS

Through a case-control study, a case population of 177 pedestrians injured by the vehicles in road traffic crashes were compared with 177 controls who lacked a record of intentional or unintentional injuries enrolled from various wards of Imam Reza University Hospital which is a specialty teaching hospital located in the same city with similar referral level. The cases and controls had an age range of 18-65 years and were matched on gender and age. ADHD symptom profile was assessed using the Persian Self-report Screening Version of the Conner's Adult ADHD Rating Scales (CAARS-S:SV). The association of ADHD screening score and pedestrian injuries was investigated using multiple binary logistic regression to investigate the independent effect of ADHD index score on belonging to case group. Both crude and adjusted odds ratios were reported.

RESULTS

Men comprised 86.4% of the study subjects. The crude odds ratios for all the four ADHD subscales to be associated with pedestrian injuries were 1.05, 1.08, and 1.04 for the subscales A (attention deficit), B (hyperactivity/impulsiveness) and ADHD index respectively. However, the association for subscale A was not statistically significant with a borderline p-value. The final multivariate analysis showed that variables associated with pedestrian injuries in the road traffic crashes were ADHD Index score (OR = 1.06, 95% CI: 1.01-1.12); economic status (including household income and expenditure capacity); educational level and total walking time per 24 h.

CONCLUSIONS

Adult ADHD screening score can predict pedestrian injuries leading to hospitalization independently from sex, age, economic status, educational level and pedestrian exposure to traffic environment (average walking time).

Evaluating the relationship between adult attention-deficit/hyperactivity disorder and riding behavior of motorcyclists

BACKGROUND

Motorcycling is one of the main causes of injury, and motorcyclists are vulnerable to road traffic injuries. Attention Deficit Hyperactivity Disorder (ADHD) in adults is presumably one of the determinants of road traffic injuries and motorcyclists' risky behavior. Despite the few studies on the relationship between motorcycle injuries and adult ADHD, their association has not been investigated using standardized instruments. This study aimed to analyze the relationship between motorcyclists' adult ADHD and risky riding behaviors.

METHODS

This community-based, cross-sectional study was performed on 340 motorcyclists in Bukan city, west Azerbaijan province, Iran in 2015 and 2016 using a cluster-random sampling in seven areas of the city. According to the city map used by Bukan's Health Centers, the city was divided into 14 clusters. Then, seven clusters (out of 14) were selected randomly. To reach the anticipated sample size, the data were collected from these seven clusters. In this study, the data collection instruments were: standard Motorcycle Rider Behavior Questionnaire (MRBQ), Conners' Adult ADHD Rating Scales (CAARS) questionnaire and a checklist designed by the researchers. The Stata 13 software package was used to analyze the collected data. Pearson correlation coefficient and multiple linear regression were performed to study the linear relationship between ADHD screening and MRBQ scores.

RESULTS

All 340 participants were male and the mean age was 30.2 years (SD=9.1). In addition, 22.1% of motorcyclists had a history of motorcycle crash. Bivariate analysis showed a significant association between risky riding behaviors and age, motorcycling records, and mean of riding hours per day (P-value less than 0.05). Multivariate analysis confirmed the correlation between ADHD and risky riding behaviors in all subscales (A, B, D) (p less than 0.05).

CONCLUSIONS

Those with a high ADHD screening score are more likely to have risky riding behaviors.