A cross-sectional observational study of helmet use among motorcyclists in Wa, Ghana

Helmet utilisation and its associated factors among motorcyclists in northern Ghana: an analytical cross-sectional survey

BACKGROUND

Motorcycle crashes are a major source of road traffic deaths in northern Ghana. Helmet use has been low. The last time it was formally assessed (2010), helmet use was 30.0% (34.2% for riders and 1.9% for pillion riders). We sought to determine the current prevalence of helmet use and its associated factors among motorcyclists in northern Ghana.

METHODS

Cross-sectional observations of motorcycle helmet use were conducted among 3853 motorcycle riders and 1097 pillion riders in the Northern Region at 12 different locations near intersections, roundabouts and motorcycle bays. Modified Poisson regression was used to assess the factors associated with helmet use.

RESULTS

The prevalence of helmet use was 22.1% overall: 26.7% among motorcycle riders and 5.7% among pillion riders. On the multivariable regression analysis, the prevalence of helmet use among motorcycle riders was 69% higher during the day compared with the night, 58% higher at weekend compared with weekday, 46% higher among males compared with females, but it was 18% lower on local roads compared with highways, 67% lower among young riders compared with the elderly and 29% lower when riding with pillion rider(s).

CONCLUSION

Despite small increases in motorcycle helmet use among pillion riders, helmet use has declined overall over the past decade. Immediate actions are needed to promote helmet use among motorcyclists in northern Ghana. This calls for a multisectoral approach to address the current low helmet use, targeting young riders, female riders, pillion riders, evening riding and riding on local roads.

The prevalence of helmet use in motorcyclists around the world: a systematic review and meta-analysis of 5,006,476 participants

Road traffic injuries present a significant public health burden, especially in developing countries. This systematic review and meta-analysis synthesized global evidence on motorcycle helmet use prevalence by including 299 records across 249 articles involving 5,006,476 participants from 1982 to 2022. The findings revealed a declining trend in helmet use prevalence over the past four decades, with an overall prevalence of 48.71%. The meta-regression analysis did not find any statistically significant change in the overall prevalence. Subgroup analysis showed higher helmet use prevalence in observation/survey records (54.29%) compared to crashed patient records (44.84%). Riders/Motorcyclists demonstrated a higher likelihood of wearing helmets than passengers in both observation/survey records (62.61 vs. 28.23%) and crashed patient records (47.76 vs. 26.61%). Countries with mandatory helmet use laws had higher helmet usage prevalence compared to those without (52.26 vs. 37.21%). The African continent had the lowest helmet use rates, while Latin America and the Caribbean regions had higher rates. This study provides a comprehensive overview of global helmet use prevalence, emphasizing disparities between high and low-income countries, variations in law enforcement, and trends over four decades. Targeted interventions are necessary to improve helmet-wearing habits, especially among passengers and regions with low usage rates. Effective legislation and awareness campaigns are crucial for promoting helmet use and reducing road traffic injuries burden.

Perceptions, barriers, and strategies regarding helmet use by female pillion riders in Pakistan: A qualitative study

INTRODUCTION

Despite the existence of a national motorcycle helmet law that applies to both riders and pillion riders, the use of helmets among female pillion riders is low in Pakistan. This study aimed to explore perceptions, barriers, and strategies related to helmet use by female pillion riders.

METHODS

Data was collected from nine focus group discussions held with female pillion riders and male riders working at the Aga Khan University. Focus group discussions were transcribed verbatim and checked for accuracy before being imported into NVivo2. Transcriptions were analyzed using a thematic analysis approach.

RESULTS

Four overarching themes emerged, including: (1) motorcycle as mode of transportation, (2) law on helmet use and its enforcement, (3) barriers to helmet use among female pillion riders, and (4) strategies to improve helmet use among female pillion riders. Female participants never wore a helmet or considered wearing it even though "safety" was the most important benefit of helmet usage expressed. The motorcycle is an economical mode of transportation for families, particularly those in the middle and lower socioeconomic groups. Helmet laws are not strictly enforced for pillion riders, including females. Possible barriers to helmet use among female pillion riders included discomfort in wearing a helmet, uninvited attention from others, concerns about physical appearance, and substandard quality and design of helmets. Suggested strategies for implementing helmet use among female pillion riders encompassed awareness generation through media, complementary distribution of helmets, strict law enforcement in the form of fines, and the influence of religious leaders regarding social norms and cultural barriers.

CONCLUSION

Motorcycles are a risky mode of transport, and there are several social and cultural barriers regarding helmet use by female pillion riders. Enforcing helmet laws for female pillion riders, raising awareness about helmet laws, and making helmet use among pillion riders a norm are some essential steps to take to promote helmet use among female pillion riders in Pakistan.

Determinants of motorcycle helmet availability and cost in retail outlets: outcomes of a market survey in northern Ghana

BACKGROUND

Morbidity and mortality from road traffic crashes are steadily increasing globally and they remain a major public health challenge. This burden is disproportionately borne by low-and middle-income countries, especially Sub-Saharan Africa where motorcycle helmet use is low and where there are challenges of affordability and availability of standard helmets. We sought to assess the availability and cost of helmets in retail outlets in northern Ghana.

METHODS

A market survey of 408 randomly sampled automobile-related retail outlets in Tamale, northern Ghana was conducted. Multivariable logistic regression was used to identify factors associated with helmet availability and gamma regression was used to identify factors associated with their cost.

RESULTS

Helmets were available in 233 (57.1%) of surveyed retail outlets. On multivariable logistic regression, street vendors were 48% less likely and motorcycle repair shops 86% less likely to sell helmets than automobile/motorcycle shops. Outlets outside the Central Business District were 46% less likely to sell helmets than outlets inside that district. Nigerian retailers were five times more likely to sell helmets than Ghanaian retailers. Median helmet cost was 8.50 USD. Helmet cost decreased by 16% at street vendors, 21% at motorcycle repair shops, and 25% at outlets run by the owner. The cost increased by older age of retailer (1% per year of age), education level of retailer (12% higher for secondary education, 56% higher for tertiary education, compared to basic education), and sex (14% higher for male retailer).

CONCLUSION

Motorcycle helmets were available in some retail outlets in northern Ghana. Efforts to improve helmet availability should address outlets in which they are less commonly sold, including street vendors, motorcycle repair shops, outlets run by Ghanaians, and outlets outside the Central Business District.

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.

Effective factors of improved helmet use in motorcyclists: a systematic review

BACKGROUND

Road traffic injuries (RTI) are one of the most prominent causes of morbidity and mortality, especially among children and young adults. Motorcycle crashes constitute a significant part of RTIs. Policymakers believe that safety helmets are the single most important protection against motorcycle-related injuries. However, motorcyclists are not wearing helmets at desirable rates. This study systematically investigated factors that are positively associated with helmet usage among two-wheeled motorcycle riders.

METHODS

We performed a systematic search on PubMed, Scopus, Web of Science, Embase, and Cochrane library with relevant keywords. No language, date of publication, or methodological restrictions were applied. All the articles that had evaluated the factors associated with helmet-wearing behavior and were published before December 31, 2021, were included in our study and underwent data extraction. We assessed the quality of the included articles using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for observational studies.

RESULTS

A total of 50 articles were included. Most evidence suggests that helmet usage is more common among drivers (compared to passengers), women, middle-aged adults, those with higher educations, married individuals, license holders, and helmet owners. Moreover, the helmet usage rate is higher on highways and central city roads and during mornings and weekdays. Travelers of longer distances, more frequent users, and riders of motorcycles with larger engines use safety helmets more commonly. Non-helmet-using drivers seem to have acceptable awareness of mandatory helmet laws and knowledge about their protective role against head injuries. Importantly, complaint about helmet discomfort is somehow common among helmet-using drivers.

CONCLUSIONS

To enhance helmet usage, policymakers should emphasize the vulnerability of passengers and children to RTIs, and that fatal crashes occur on low-capacity roads and during cruising at low speeds. Monitoring by police should expand to late hours of the day, weekends, and lower capacity and less-trafficked roads. Aiming to enhance the acceptance of other law-abiding behaviors (e.g., wearing seat belts, riding within the speed limits, etc.), especially among youth and young adults, will enhance the prevalence of helmet-wearing behavior among motorcycle riders. Interventions should put their focus on improving the attitudes of riders regarding safety helmets, as there is acceptable knowledge of their benefits.

10 city analysis of child passenger helmet use

INTRODUCTION

Road traffic injuries are the leading cause of death in children over age five. Most of these deaths occur in low- and middle-income countries. Vulnerable road users, such as motorcyclists and their passengers, are at higher risk. Helmets have significantly decreased morbidity and mortality for motorcyclists; however, they are often unused. The second phase of the Bloomberg Philanthropies Initiative for Global Road Safety was launched in 2015 to improve road safety in 10 cities. This study focuses on child passenger helmet use data from that study to understand the prevalence of helmet use and factors that are associated with helmet use.

METHODS

The 10 cities selected were Accra, Addis Ababa, Bandung, Bangkok, Bogota, Fortaleza, Ho Chi Minh City, Mumbai, Sao Paulo, and Shanghai. Eight rounds of roadside observational data were collected from February 2015 to April 2019. Observers noted correct child motorcycle passenger helmet use and other site observations including weather patterns, traffic volume, and road surface conditions. A multivariable Poisson regression model was used to examine correct helmet use trends over time. A multivariable logistic regression model was fitted for correct child passenger helmet use in all cities controlling for weather, observation time, number of passengers, and driver's correct helmet use.

RESULTS

This dataset contained 99,846 motorcycle child passenger observations across the 10 cities. The highest prevalence of correct child passenger helmet use was in Sao Paulo at 97.33%. Six cities had under 25% correct helmet use for child passengers. Examining helmet use over time, only five cities had a significant increase, four cities had no change, and Ho Chi Minh City demonstrated a decrease. In the multivariable regression model, child passengers had higher odds of wearing helmets in adverse weather conditions, early mornings, if the driver wore a helmet, and if there were fewer passengers.

CONCLUSIONS

The prevalence of correct child passenger helmet utilization shows large variation globally and is concerningly low overall. Enhanced enforcement in combination with media campaigns may have contributed to increasing helmet use prevalence over time. Further research is needed to understand reasons for low child passenger helmet use in most cities.

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.

Factors affecting road safety compliance in a low- and middle-income country: An observational study from Lebanon

Road traffic injury is a major public health problem in Lebanon. This study aims to assess compliance with safety measures including seatbelt and helmet use in adults and children, and the prevalence of distracted driving among road users across Lebanon different governorates. It further aims to investigate predictors of compliance with seatbelt and helmet use. A cross-sectional observational field study was conducted at multiple governorates in Lebanon. Data collected included information on vehicles, road users and passengers. Univariate and multivariable logistic regression analyses were performed to identify trends in compliance with safety measures and distracted driving, and predictors of compliance. A total of 13,790 road users were observed. The rate of seatbelt and helmet use were 37.4% and 38.9%, respectively, among adults. Distracted behavior was present in 23.7% of car drivers and 22.8% of motorcyles adult riders. Compliance with seatbelt use was lower outside the capital city Beirut [OR = 5.236 (4.566-6.004), P <0.001], in males [OR = 1.688 (1.52-1.874), P <0.001], in drivers of taxi/vans [OR = 1.929 (1.71-2.175), P <0.001] or trucks [OR = 3.014 (2.434-3.732), P <0.001], and vehicles of lower price [OR = 3.291 (2.836-3.819), P <0.001]. Children vehicle passengers were 87.9% while motorcycles pillion riders were 12.1%. The rates for child car restraint and helmet use were 25.8% and 20.1%, respectively. Predictors of failure to use a child restraint system in vehicles were the youngest age group (0-5 years) [OR = 2.06, CI (1.40-3.02), P<0.001], sitting in the back seat [OR = 1.56, CI (1.09-2.23), P<0.001], ridding in the afternoon [OR = 1.43, CI (1.05-1.94), P = 0.02], and being outside Beirut [OR = 2.12, CI (1.41-3.17), P<0.00]. Public awareness efforts and better enforcement of road safety legislations are needed to increase the alarmingly low rates of compliance with safety measures and safeguard lives on the road.

Studies of the effectiveness of transport sector interventions in low- and middle-income countries: An evidence and gap map

Background

There are great disparities in the quantity and quality of infrastructure. European countries such as Denmark, Germany, Switzerland, and the UK have close to 200 km of road per 100 km2, and the Netherlands over 300 km per 100 km2. By contrast, Kenya and Indonesia have <30, Laos and Morocco <20, Tanzania and Bolivia <10, and Mauritania only 1 km per 100 km2. As these figures show, there is a significant backlog of transport infrastructure investment in both rural and urban areas, especially in sub-Saharan Africa. This situation is often exacerbated by weak governance and an inadequate regulatory framework with poor enforcement which lead to high costs and defective construction.The wellbeing of many poor people is constrained by lack of transport, which is called "transport poverty". Lucas et al. suggest that up to 90% of the world's population are transport poor when defined as meeting at least one of the following criteria: (1) lack of available suitable transport, (2) lack of transport to necessary destinations, (3) cost of necessary transport puts household below the income poverty line, (4) excessive travel time, or (5) unsafe or unhealthy travel conditions.

Objectives

The aim of this evidence and gap map (EGM) is to identify, map, and describe existing evidence from studies reporting the quantitative effects of transport sector interventions related to all means of transport (roads, rail, trams and monorail, ports, shipping, and inland waterways, and air transport).

Methods

The intervention framework of this EGM reframes Berg et al's three categories (infrastructure, prices, and regulations) broadly as infrastructure, incentives, and institutions as subcategories for each intervention category which are each mode of transport (road, rail trams and monorail, ports, shipping, and inlands waterways, and air transport). This EGM identifies the area where intervention studies have been conducted as well as the current gaps in the evidence base.This EGM includes ongoing and completed impact evaluations and systematic reviews (SRs) of the effectiveness of transport sector interventions. This is a map of effectiveness studies (impact evaluations). The impact evaluations include experimental designs, nonexperimental designs, and regression designs. We have not included the before versus after studies and qualitative studies in this map. The search strategies included both academic and grey literature search on organisational websites, bibliographic searches and hand search of journals.An EGM is a table or matrix which provides a visual presentation of the evidence in a particular sector or a subsector. The map is presented as a matrix in which rows are intervention categories (e.g., roads) and subcategories (e.g., infrastructure) and the column outcome domains (e.g., environment) and subcategories as (e.g., air quality). Each cell contains studies of the corresponding intervention for the relevant outcome, with links to the available studies. Included studies were coded according to the intervention and outcomes assessed and additional filters as region, population, and study design. Critical appraisal of included SR was done using A Measurement Tool to Assess Systematic Reviews (AMSTAR -2) rating scale.

Selection Criteria

The search included both academic and grey literature available online. We included impact evaluations and SRs that assessed the effectiveness of transport sector interventions in low- and middle-income countries.

Results

This EGM on the transport sector includes 466 studies from low- and middle-income countries, of which 34 are SRs and 432 impact evaluations. There are many studies of the effects of roads intervention in all three subcategories-infrastructure, incentives, and institutions, with the most studies in the infrastructure subcategories. There are no or fewer studies on the interventions category ports, shipping, and waterways and for civil aviation (Air Transport).In the outcomes, the evidence is most concentrated on transport infrastructure, services, and use, with the greatest concentration of evidence on transport time and cost (193 studies) and transport modality (160 studies). There is also a concentration of evidence on economic development and health and education outcomes. There are 139 studies on economic development, 90 studies on household income and poverty, and 101 studies on health outcomes.The major gaps in evidence are from all sectors except roads in the intervention. And there is a lack of evidence on outcome categories such as cultural heritage and cultural diversity and very little evidence on displacement (three studies), noise pollution (four studies), and transport equity (2). There is a moderate amount of evidence on infrastructure quantity (32 studies), location, land use and prices (49 studies), market access (29 studies), access to education facilities (23 studies), air quality (50 studies), and cost analysis including ex post CBA (21 studies).The evidence is mostly from East Asia and the Pacific Region (223 studies (40%), then the evidence is from the sub-Saharan Africa (108 studies), South Asia (96 studies), Latin America & Caribbean (79 studies). The least evidence is from Middle East & North Africa (30 studies) and Europe & Central Asia (20 studies). The most used study design is other regression design in all regions, with largest number from East Asia and Pacific (274). There is total 33 completed SRs identified and one ongoing, around 85% of the SR are rated low confidence, and 12% rated as medium confidence. Only one review was rated as high confidence. This EGM contains the available evidence in English.

Conclusion

This map shows the available evidence and gaps on the effectiveness of transport sector intervention in low- and middle-income countries. The evidence is highly concentrated on the outcome of transport infrastructure (especially roads), service, and use (351 studies). It is also concentrated in a specific region-East Asia and Pacific (223 studies)-and more urban populations (261 studies). Sectors with great development potential, such as waterways, are under-examined reflecting also under-investment.The available evidence can guide the policymakers, and government-related to transport sector intervention and its effects on many outcomes across sectors. There is a need to conduct experimental studies and quality SRs in this area. Environment, gender equity, culture, and education in low- and middle-income countries are under-researched areas in the transport sector.

Mobile phone use among e-cyclists at red traffic lights: An observation study in a city of China

OBJECTIVE

The observation study sought to explore the influencing factors associated with mobile phone use when e-cyclists were waiting for red lights at intersections, which provided a theoretical foundation for solving the potential traffic threat and developing management plans for e-cyclists.

METHODS

Data regarding e-cyclists were collected through camera conducted at the entrance of multiple intersections in Zhenjiang, China in July 2020. The data was reviewed by playing frame by frame. A statistical analysis was performed with the statistical package SPSS software. After conducting univariate logistic analysis on study variables, the multivariate analysis was adopted based on the binary logit regression model.

RESULTS

Among the 1166 e-cyclists observed, 15.01% (n = 175) e-cyclists had operated their mobile phones while waiting for red lights. Young e-cyclists, delivery cyclists were more likely to be involved with mobile phone use. Furthermore, mobile phone use was more observed at intersections in suburban areas and with long waiting time. E-cyclists, who was carrying a child, rarely used mobile phone. All intersections during off-peak times showed an increase in mobile phone use. The results also show that neither e-cyclists themselves nor traffic managers are aware of the risks of mobile phone use and the impact on traffic safety while waiting for a red light.

CONCLUSIONS

The findings of this research revealed the factors influencing mobile phone use of e-cyclists while waiting for a red light, and indicated that education and behavioral intervention need to be strengthened to improve riding safety at intersections. These results will be helpful in developing programs of electric bicycle management.

The effectiveness of different types of motorcycle helmets - A scoping review

BACKGROUND

Protective helmets may reduce the risk of death and head injury in motorcycle collisions. However, there remains a large gap in knowledge regarding the effectiveness of different types of helmets in preventing injuries.

OBJECTIVE

To explore and evaluate the effectiveness of different types of motorcycle helmets; that is the association between different helmet types and the incidence and severity of head, neck, and facial injuries among motorcyclists. Also, to explore the effect of different helmet types on riders.

METHODS

A systematic search of different scientific databases was conducted from 1965 to April 2019. A scoping review was performed on the included articles. Eligible articles were included regarding defined criteria. Study characteristics, helmet types, fixation status, retention system, the prevention of injury or reduction of its severity were extracted.

RESULTS

A total of 137 studies were included. There was very limited evidence for the better protection of full-face helmets from head and facial injury compared to open-face and half-coverage helmets. There was however scarce evidence for the superiority of a certain helmet type over others in terms of protection from neck injury. The retention system and the fixation status of helmets were two important factors affecting the risk of head and brain injury in motorcyclists. Helmets could also affect and limit the riders in terms of vision, hearing, and ventilation. Multiple solutions have been discussed to mitigate these effects.

CONCLUSION

Full-face helmets may protect head and face in motorcycle riders more than open-face and half-coverage helmets, but there is not enough evidence for better neck protection among these three helmet types. Helmets can affect the rider's vision, hearing, and ventilation. When designing a helmet, all of these factors should be taken into account.

Helmet use among motorcycle riders in Ho Chi Minh City, Vietnam: results of a five-year repeated cross-sectional study

OBJECTIVE

In Vietnam, motorcycle riders comprise about three-quarters of road traffic fatalities, the most common cause of which is head injuries that can be prevented by wearing a helmet. This study aims to assess helmet-wearing behaviors in Ho Chi Minh City, the largest city in Vietnam.

METHODS

Eight rounds of observational studies were conducted in six randomly selected locations between July 2015 and April 2019. Given the multinomial nature of the outcome measure (not wearing a helmet; wearing a substandard helmet; wearing an unstrapped standard helmet; wearing a strapped standard helmet), a multinomial model was developed to estimate the level and trend of helmet use and identify the related individual and environmental factors.

FINDINGS

A total of 479,892 motorcycle riders were observed, over 90 % of whom were wearing helmets (range over the eight rounds: 92.5 %-96.0 %). However, the prevalence of correct helmet use (defined as wearing a strapped standard helmet) gradually declined from 80.8 % in round 1-55.6 % in round 8. Results from a multinomial model showed the probability of wearing a strapped standard helmet had declined by 22.4 percentage points from round 3 to round 8 while holding other factors constant (95 % CI: 21.8-23.0). The prevalence of correct use is 11.3 percentage points higher for adults than for children (95 % CI: 10.5-12.1). During the same period, unstrapped standard helmet use increased by 24.5 percentage points (95 % CI: 24.1-24.9); substandard helmet use declined but remained high.

CONCLUSION

The upward trend of incorrect helmet wearing behaviors and wearing substandard helmets sends a rallying call for multisectoral interventions.

Change in helmet use behavior enforced by CCTV cameras with automatic helmet use detection system on an urban arterial road

OBJECTIVE

Many developing countries experience a high death toll among motorcycle users (both drivers and passengers), primarily due to a relatively low rate of helmet use resulting from ineffective helmet law enforcement. The objectives of this study are to explore the change in helmet use behavior due to helmet use enforcement by closed-circuit television (CCTV) camera technology with an automatic helmet use detection system and to identify the factors associated with helmet use along an urban arterial road in the city of Khon Kaen, Thailand.

METHODS

Data collection was carried out on 49,128 samples by video cameras installed at 5 signalized intersections during 2 periods, namely, before and during the CCTV camera enforcement. The study applied logistic regression analysis to determine factors associated with helmet use and to compare the ratio of helmet use for each variable according to the odds ratio.

RESULTS

The study found that CCTV camera enforcement could increase helmet usage at all study intersections by 5.3%. The results imply that 4 factors, including riding status, number of passengers, day of week, and traffic conditions, significantly affected helmet use both before and during the CCTV camera enforcement. Remarkably, 2 more variables, age and police inspection, significantly affected helmet use during the CCTV camera enforcement period.

CONCLUSIONS

This study confirms that CCTV camera enforcement can be an important driving force for changing helmet use behavior, particularly for child passengers. Moreover, CCTV camera enforcement can support enforcement by extending coverage to a 24-h period and to intersections without police inspection.

Turn signal use among car drivers and motorcyclists at intersections: a case study of Da Nang, Vietnam

Turn signal neglect is a major cause of traffic crashes, particularly rear-end collisions. However, little research has investigated the use of turn signals among motorists, particularly in developing countries with high levels of motorcycle use. This research aimed to investigate the prevalence and factors associated with turn signal use at intersections among car drivers and motorcyclists in Da Nang, Vietnam. Cross-sectional roadside observations were undertaken at 24 sites across Da Nang City during weekday and weekend periods. A total of 17,142 vehicles were observed, including 2392 cars and 14,750 motorcycles. Turn signal use among car drivers (68.27%) was found to be significantly higher than motorcyclists (40.13%). Binary logistic regression modelling showed that turn signal neglect at intersections was associated with making a right turn, not carrying passengers, travelling outside of the city centre, travelling on weekdays, and the absence of separate car lanes, pedestrian crossings and traffic lights. Despite national legislation regulating turn signal use in Vietnam, the use of turn signals is relatively low compared with developed countries. The findings highlight the need for both greater and more targeted enforcement of existing legislation combined with extensive road safety education.

A comparative study on machine learning based algorithms for prediction of motorcycle crash severity

Motorcycle crash severity is under-researched in Ghana. Thus, the probable risk factors and association between these factors and motorcycle crash severity outcomes is not known. Traditional statistical models have intrinsic assumptions and pre-defined correlations that, if flouted, can generate inaccurate results. In this study, machine learning based algorithms were employed to predict and classify motorcycle crash severity. Machine learning based techniques are non-parametric models without the presumption of relationships between endogenous and exogenous variables. The main aim of this research is to evaluate and compare different approaches to modeling motorcycle crash severity as well as investigating the effect of risk factors on the injury outcomes of motorcycle crashes. Motorcycle crash dataset between 2011 and 2015 was extracted from the National Road Traffic Crash Database at the Building and Road Research Institute (BRRI) in Ghana. The dataset was classified into four injury severity categories: fatal, hospitalized, injured, and damage-only. Three machine learning based models were developed: J48 Decision Tree Classifier, Random Forest (RF) and Instance-Based learning with parameter k (IBk) were employed to model the severity of injury in a motorcycle crash. These machine learning algorithms were validated using 10-fold cross-validation technique. The three machine learning based algorithms were compared with one another and the statistical model: multinomial logit model (MNLM). Also, the relative importance analysis of the attribute was conducted to determine the impact of these attributes on injury severity outcomes. The results of the study reveal that the predictions of machine learning algorithms are superior to the MNLM in accuracy and effectiveness, and the RF-based algorithms show the overall best agreement with the experimental data out of the three machine learning algorithms, for its global optimization and extrapolation ability. Location type, time of the crash, settlement type, collision partner, collision type, road separation, road surface type, the day of the week, and road shoulder condition were found as the critical determinants of motorcycle crash injury severity.

Road safety risk factors for non-motorised vehicle users in a Chinese city: an observational study

OBJECTIVE

The objective of this study is to describe and analyse the prevalence of speeding, helmet use and red-light running among riders of non-motorised vehicles (NMVs) in Shanghai, China, with a focus on electric bikes (ebikes).

METHODS

Observational studies were conducted in eight randomly selected locations in Shanghai. Descriptive statistics and a Cox proportional hazard (PH) model were used in the analyses.

FINDINGS

A total of 14 828 NMVs were observed in November 2017. At the free flow sites, the average speed was 22.5 km/hour for ebikes and 13.4 km/hour for bicycles. 95.5% of ebikes run above 15 km/hour, the legal speed limit for NMVs in China and 83.8% above 20 km/hour, the maximum design speed for ebikes. Helmet wearing rate was 13.5% for ebike drivers and 9.4% for passengers. Riders of commercial ebikes were nearly three times more likely to wear a helmet than personal ebikes. 22.4% of ebikes were observed to run a red light. The Cox PH model showed that ebikes (vs bicycles), males (vs females), clear weather (vs cloudy, rainy and snowy), helmet users (vs nonusers) are associated with a higher hazard for running a red light.

CONCLUSION

To our knowledge, this study is among the first comprehensive evaluation of road user behaviours for NMVs in China. An effective intervention package including regulating ebike production to national standards, strengthening speed enforcement and passing legislation on mandatory helmet use for ebike users may be able to help.

Severity of motorcycle crashes in Dar es Salaam, Tanzania

OBJECTIVE

Motorcycles are a common mode of transportation in low- and middle-income countries. Tanzania, in particular, has experienced an increased use of motorcycles in the last decade. In Dar es Salaam, motorcycles provide door-to-door travel and often operate where more conventional services are uneconomical or physically impossible to maneuver. Although motorcycles play a crucial role in improving mobility in the city, they have several safety issues. This study focuses on identifying factors influencing the severity of motorcycle crashes.

METHOD

A multinomial logit analysis was conducted to identify factors influencing the severity of motorcycle crashes in Dar es Salaam, Tanzania. The severity categories were fatal, severe injury, minor injury, and property damage only (PDO). The analysis was based on a total of 784 motorcycle crashes that occurred from 2013 to 2016.

RESULTS

The following factors were found to increase the probability of a fatality: Speeding, driving under the influence, head-on impact, presence of horizontal curves, reckless riding, off-peak hours, violations, and riding without a helmet. The results indicate that crashes occurring on weekdays, during peak hours, at intersections, involving a rear-end impact, in daylight, on street roads, and under clear weather conditions decrease the probability of a fatality. However, minor injury and PDO crashes were found to be associated with crashes occurring during peak hours, at intersections, and on street roads, as well as failure to yield right-of-way.

CONCLUSIONS

Several countermeasures are recommended based on the study findings. The recommended countermeasures focus on the holistic safety improvement strategies constituting the three Es of highway safety, namely, engineering, education, and enforcement.

Seatbelt wearing rate in a Chinese city: Results from multi-round cross-sectional studies

OBJECTIVE

Road traffic crashes impose a heavy burden in China's most populous city, Shanghai. Since early 2016, Shanghai police have started deploying high-resolution cameras and an object-detection algorithm in seatbelt enforcement. Around the same time, an international consortium on road safety launched a series of capacity trainings for law enforcement accompanied by infrastructure renovation and social marketing campaigns in Shanghai. Our objective is to assess the level and trend of seatbelt use in Shanghai over 2015-2017.

METHODS

Ongoing observational studies evaluate seatbelt use within the city. Data are collected at eight randomly selected locations throughout the city, stratified by road type and geographic locations. Data collection covers most times of the day on both business days and weekends, providing a full representation of varying traffic models during both rush hours and non-rush hours. At each site, trained field workers observe seatbelt use of occupants in all passing motorized vehicles. A multivariate logistic regression model was developed to analyze the data.

FINDINGS

From October 2015 to December 2017, six rounds of data collection were completed with a total sample size of 77,641 drivers and passengers of motor vehicles. The seatbelt use rate has steadily increased over time, from 60.8% (95% CI: 59.9%-61.7%) in round 1 to 84.9% (84.3%-85.4%) in round 6 (p-value < 0.01). The increase is substantial and statistically significant for both drivers and passengers (p-value < 0.01). Results from the multivariate logistic regression show an annual growth rate of seatbelt use of 8.8% (8.4%-9.1%); the wearing rate was 49.8% (49.0%-50.5%) lower among passengers than drivers; 3.5% (2.9%-4.1%) lower in peri-urban areas than central urban areas; 16.3% (14.3%-18.4%) higher among 18-24-year and 18.9% (17.0%-20.9%) higher among 25-59-year olds than other age groups.

CONCLUSION AND POLICY IMPLICATIONS

Seatbelt use in Shanghai has been boosted during a short period of time through a combined strategy that includes training of police, social marketing campaign, and the deployment of computer vision assisted enforcement. Large cities in China and other countries facing similar challenges with seatbelt wearing may learn from Shanghai's experience.

The determinants of motorcyclists helmet use: Urban arterial road in Khon Kaen City, Thailand

INTRODUCTION

Currently, Thailand incurs the highest death toll of motorcyclists in the world. The aim of this study was to explore the factors influencing helmet use of motorcyclists in Khon Kaen City, Thailand by using the Logistic regression analysis.

METHOD

The samples, consisting of 27,977 riders and 6,947 riding passengers, were collected by CCTV installed at several signalized intersections along urban arterial roads.

RESULTS

The observation results reveal that only 67% of motorcyclists wore the helmets. The analysis results reveal that the helmet use of motorcyclists was significantly associated with the riding status, number of passengers, apparent age, motorcycle class, time of day, the presence of police booths at intersections and, especially, red light running behavior. The riders tended to wear helmets at 2.7 times higher rates than passengers. Adult motorcyclists tended to wear the helmets at 2.8 times higher rates than children. The motorcyclists riding the motorcycles over 125 cc tended to wear the helmets 1.9 times higher than those riding motorcycles under 125 cc. The motorcyclists riding in the morning and the afternoon tended to wear the helmets 5.0 and 3.8 times higher than in the evening. The motorcyclists riding through intersections with police booths tended to wear the helmets 2.2 times higher than those riding through intersection without police booths. However, the red light running riders intend to wear the helmets 0.6 times less than the legal riders.

CONCLUSIONS

The outcome of this study could determine the factors influencing motorcyclist's helmet use.

PRACTICAL IMPLICATIONS

It will be useful for a development of 100% helmet use program designed to lessen the fatality of motorcyclists along the urban arterial roads.

Visualization and analysis of mapping knowledge domain of road safety studies

Mapping knowledge domain (MKD) is an important application of visualization technology in Bibliometrics, which has been extensively applied in psychology, medicine, and information science. In this paper we conduct a systematic analysis of the development trend on road safety studies based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) articles published between 2000 and 2018 using the MKD software tools VOSviewer and Sci2 Tool. Based on our analysis, we first present the annual numbers of articles, origin countries, main research organizations and groups as well as the source journals on road safety studies. We then report the collaborations among the main research organizations and groups using co-authorship analysis. Furthermore, we adopt the document co-citation analysis, keywords co-occurrence analysis, and burst detection analysis to visually explore the knowledge bases, topic distribution, research fronts and research trends on road safety studies. The proposed approach based on the visualized analysis of MKD can be used to establish a reference information and research basis for the application and development of methods in the domain of road safety studies. In particular, our results show that the knowledge bases (classical documents) of road safety studies in the last two decades have focused on five major areas of "Crash Frequency Data Analysis", "Driver Behavior Questionnaire", "Safety in Numbers for Walkers and Bicyclists", "Road Traffic Injury and Prevention", and "Driving Speed and Road Crashes". Among the research topics, the five dominant clusters are "Causation and Injury Severity Analysis of Road Accidents", "Epidemiologic Study and Prevention of Road Traffic Injury", "Intelligent Transportation System and Active Safety", "Young drivers' driving behavior and psychology", and "Older drivers' psychological and physiological characteristics". Finally, the burst keywords in research trends include Cycling, Intelligent Transportation Systems, and Distraction.

Prediction of safe driving Behaviours based on health belief model: the case of taxi drivers in Bandar Abbas, Iran

BACKGROUND

Road accidents are among the main causes of mortality. As safe and secure driving is a key strategy to reduce car injuries and offenses, the present research aimed to explore safe driving behaviours among taxi drivers based on the Health Belief Model (HBM).

METHODS

This study was conducted on 184 taxi drivers in Bandar Abbas who were selected based on a multiple stratified sampling method. Data were collected by a questionnaire comprised of a demographic information section along with the constructs of the HBM. Data were analysed by SPSS ver19 via a Pearson's correlation coefficient and multiple regressions.

RESULTS

The mean age of the participants was 45.1 years (SD = 11.1). They all had, on average, 10.3 (SD = 7/5) years of taxi driving experience. Among the HBM components, cues to action and perceived benefits were shown to be positively correlated with safe driving behaviours, while perceived barriers were negatively correlated. Cues to action, perceived barriers and perceived benefits were shown to be the strongest predictors of a safe drivers' behaviour.

CONCLUSIONS

Based on the results of this study in designing health promotion programmes to improve safe driving behaviours among taxi drivers, cues to action, perceived benefits and perceived barriers are important. Therefore, advertising, the design of information campaigns, emphasis on the benefits of safe driving behaviours and modification barriers are recommended.

Prevalence rate of helmet use among motorcycle riders in Kumasi, Ghana

OBJECTIVES

This study investigated the prevalence rate and identified the associated factors influencing helmet use in Kumasi, Ghana.

METHODS

The data used in this study were collected from motorcycle riders in the Kumasi metropolis through questionnaire survey. The contributing factors influencing helmet use were determined using a logistic regression model.

RESULTS

The results show that the rate of helmet use was about 47% and the influential factors include rider's gender, marital status, educational attainment, ownership of a helmet, and motorcycle license. The most important reasons influencing noncompliance with helmet use as reported by the riders include discomfort, distance traveled, not owning a helmet, and forgetfulness.

CONCLUSION

The findings highlight the need for policymakers to set up policy guidelines to enforce compliance with helmet use. For instance, any effort seeking to increase helmet use may first have to deal with helmet ownership, which also relates to the cost of helmet. In addition, helmet producers should conform to high quality standards in order to avoid discomfort while wearing a helmet.

Prevalence and risk factor for injury in sub-Saharan Africa: a multicountry study

INTRODUCTION

Injury-related morbidity is a neglected health concern in many low-income and middle-income countries. Most injury data in Africa have been collected from hospital-based studies, and few studies have occurred across multiple countries. Using data from a novel cohort, we examined the prevalence and incidence of serious injuries and associated risk factors across five sites in sub-Saharan Africa (SSA).

METHODS

A common baseline and follow-up survey was administered to participants. The study population included 1316 persons at baseline and 904 persons at follow-up. Frequencies were calculated, and logistic regression models were used to assess risk factors for injury.

RESULTS

A total of 233 (17.7%) persons reported a serious injury at baseline and 60 (6.6%) reported a serious injury 6 months later at follow-up. Sixty-nine per cent of participants responded to the follow-up questionnaire. At baseline and follow-up, the most common cause of serious injury at urban sites was transport related, followed by poison/overdose. In rural Uganda, sharp instruments injuries were most common, followed by transport-related injuries. Living at an urban site was associated with an increased odds for serious injury compared with those at the rural site (OR: 1.83, 95% CI 1.15 to 2.90). Participants who consumed above a moderate amount of alcohol were at a higher risk of serious injury compared with those who did not consume alcohol (OR: 1.86, 95% CI 1.02 to 3.41). High level of education was an important risk factor for injury.

CONCLUSION

At baseline and follow-up, common causes of serious injury were transport related, sharp instrument and poison/overdose. Alcohol consumption, urban location and education are important risk factors for injury. It is feasible to collect longitudinal injury data using a standardised questionnaire across multiples sites in SSA. Longitudinal data collection should be leveraged to obtain robust data on risk factors for injury in SSA.

A population-based case-control study of hospitalisation due to head injuries among bicyclists and motorcyclists in Taiwan

INTRODUCTION

According to official statistics in Taiwan, the main body region of injury causing bicyclist deaths is the head, and bicyclists are 2.6 times more likely to be fatally injured than motorcyclists. There is currently a national helmet law for motorcyclists but not for bicyclists.

OBJECTIVES

The primary aim of this study was to determine whether bicyclist casualties have higher odds of head-related hospitalisation than motorcyclists. This study also aims to investigate the determinants of head injury-related hospitalisation among bicyclists and motorcyclists.

METHODS

Using linked data from the National Traffic Accident Dataset and the National Health Insurance Research Database for the period 2003-2012, this study investigates the crash characteristics of bicyclist and motorcyclist casualties presenting to hospitals due to motor vehicle crashes. Head injury-related hospitalisation was used as the study outcome for both road users to evaluate whether various factors (eg, human attributes, road and weather conditions, vehicle characteristics) are related to hospital admission of those who sustained serious injuries.

RESULTS

Among 1 239 474 bicyclist and motorcyclist casualties, the proportion of bicyclists hospitalised for head injuries was higher than that of motorcyclists (10.0% vs 6.5%). However, the multiple logistic regression model shows that, after adjustment of this result for other factors such as helmet use, bicyclists were 18% significantly less likely to be hospitalised for head injuries than motorcyclists (AOR 0.82, 95% CI 0.79 to 0.85). Other important determinants of head injury-related hospitalisation for bicyclists and motorcyclists include female riders, elderly riders, crashes occurring in rural areas, moped riders, riding unhelmeted, intoxicated bicyclists and motorcyclists, unlicensed motorcyclists, dusk and dawn conditions and single-vehicle crashes.

CONCLUSIONS

Our finding underscores the importance of helmet use in reducing hospitalisation due to head injuries among bicyclists while current helmet use is relatively low.

Road accident fatality risks for "vulnerable" versus "protected" road users in northern Ghana

BACKGROUND

Road traffic injuries (RTIs) are a serious epidemic that claims more than a million lives across the globe each year. The burden of RTIs is particularly pronounced in Africa and other low- and middle-income countries. The unfavorable disparity of the burden of road trauma in the world is largely attributable to unsafe vehicles, lack of appropriate road infrastructure, and the predominance of vulnerable road users (VRUs) in developing countries. However, little research exists in northern Ghana to highlight the scale and risk of death among road users.

OBJECTIVE

The objective of this research was to establish the relative risk of death among road users in northern Ghana.

METHODS

Crash data from police reports between 2007 and 2011 were analyzed for the Upper Regions of Ghana. Conditional probabilities and multivariable logistic regression techniques were used to report proportions and adjusted odds ratios (AORs), respectively.

RESULTS

Generally, crashes in northern Ghana were extremely severe; that is, 35% of all injury related collisions were fatal. The proportion of fatal casualties ranged between 21% among victims of sideswipe collisions and 41% among pedestrians and victims of rear-end collisions. Though males were 6 times more likely to die than females overall, females were more likely to die as pedestrians (90% of all female casualty deaths) and males were more likely to die as riders/drivers (78% of all male casualty deaths). Pedestrians were 3 times more likely to die (odds ratio [OR] = 3.1; 95% confidence interval [CI], 2.4 to 4.1) compared with drivers/riders. Compared with drivers, the odds of death among cyclists was about 4 times higher (AOR = 3.6; 95% CI, 2.3 to 5.6) and about 2 times higher among motorcyclists (AOR = 1.6; 95% CI, 1.2 to 2.2). Compared with casualties aged between 30 and 59 years, children under 10 years and those aged 60 years and above were independently 2 times more likely to die in traffic collisions.

CONCLUSION

Provision of requisite road infrastructure is vital for the safety of VRUs in northern Ghana. Cycle paths and lanes (for cyclists) as well as sidewalks (for pedestrians) in particular will separate VRUs from motorists and improve their safety. Enforcement of traffic laws particularly regarding helmet use, speeding, and alcohol use will be beneficial. Introduction of the demerit points system in the enforcement of traffic regulations may have significant deterrent effects on road users who have the penchant for violating traffic regulations. Road safety education is also required to create responsible road users.

Examination of factors associated with use rates after transition from a universal to partial motorcycle helmet use law

OBJECTIVES

Motorcycle riders account for a disproportionately high number of traffic injuries and fatalities compared to occupants of other vehicle types. Though research has demonstrated the benefits of helmet use in preventing serious and fatal injuries in the event of a crash, helmet use has remained relatively stable in the United States, where the most recent national estimates show a 64% use rate. Use rates have been markedly lower among those states that do not have a universal helmet law for all riders. In 2012, the state of Michigan repealed its longstanding mandatory helmet use law. In order to gain insights as to the effects of this legislative change, a study was conducted to examine short-term changes in helmet use and identify factors associated with use rates.

METHODS

A statewide direct observation survey was conducted 1 year after the transition from a universal helmet law to a partial helmet law. A random parameters logistic regression model was estimated to identify motorcyclist, roadway, and environmental characteristics associated with helmet use. This modeling framework accounts for both intravehicle correlation (between riders and passengers on the same motorcycle) as well as unobserved heterogeneity across riders due to important unobserved factors.

RESULTS

Helmet use was shown to vary across demographic segments of the motorcyclist population. Use rates were higher among Caucasian riders, as well as among those age 60 and above. No significant difference was observed between male and female riders. Use was also found to vary geographically, temporally, and with respect to various environmental characteristics. Geographically, helmet use rates tended to be correlated with historical restraint use trends, which may be reflective of riding environment and general differences in the riding population. To this end, rates were also highly variable based upon the type of motorcycle and whether the motorcyclist was wearing high-visibility gear.

CONCLUSIONS

The study results demonstrate the short-term reduction in helmet use following transition from a universal to partial motorcycle helmet law. The reduction in use is somewhat less pronounced than has been experienced in other states, which may be reflective of general differences among Michigan motorcyclists because the state has also generally exhibited higher use rates of seat belts and other forms of occupant protection. The study results also highlight potential target areas for subsequent education and public awareness initiatives aimed at increasing helmet use.

Factors associated with the use of motorcycle helmets in two Colombian cities

The aim of this study was to identify the prevalence and some characteristics associated with the use of motorcycle helmets in two Colombian cities. The researcher used quantitative and qualitative techniques. The prevalence of the use of a motorcycle helmet among motorcyclists was greater in Ibague (98.1%) than in Valledupar (82.4%); among passengers in the city of Valledupar, it did not reach 2%. Men were 2.1 times more likely to wear helmets than women (IC 95:1.6-2.7). Using qualitative techniques, the factors explaining the reasons for use/non-use of helmets (being hygienic, climatic, esthetic and safety reasons) were identified for Valledupar. The use of the helmet is a protective measure in the event of traffic accidents; however, the prevalence of usage is not ideal. It is important for traffic and health authorities as well as the civil society to organize, in order to design and implement measures aimed at strengthening the use of this road safety gear.

The Preventive Effect of Head Injury by Helmet Type in Motorcycle Crashes: A Rural Korean Single-Center Observational Study

Introduction. The goal of this study was to determine the preventive effect on head injury by helmet type: full face helmet (FFH), open face helmet (OFH), and half-coverage helmet (HCH). Methods. This is a retrospective observational study of motorcycle crash victims between June 2012 and May 2015 in a rural town in Korea. We performed multiple linear regression to predict the effect of each type of helmet compared to unhelmeted status in preventing head injury using dependent variables based on the Abbreviated Injury Scale (AIS) and applied logistic regression modeling to compare the incidence of head injury. Results. Of the 738 patients, the number of FFH patients was 33.5%, followed by unhelmeted (27.8%), OFH (17.6%), and HCH (13.0%) patients. The FFH and OFH group had a lower head maximum AIS than unhelmeted group (coefficient: -0.368, 95% CI: -0.559 to -0.177 and coefficient: -0.235, 95% CI: -0.459 to -0.010, resp.) and only FFHs experienced a reduction effect of severe and minor head injury (OR: 0.206, 95% CI: 0.080 to 0.533 and OR: 0.589, 95% CI: 0.377 to 0.920, resp.). Conclusions. FFHs and OFHs reduce the risk of head injury, and FFHs have a more preventive effect on head injury in motorcycle crashes.

Mobile phone use among motorcyclists and electric bike riders: A case study of Hanoi, Vietnam

Motorcyclist injuries and fatalities are a major concern of many developing countries. In Vietnam, motorcycles are involved in more than 70% of all road traffic crashes. This paper aims to explore the prevalence and factors associated with mobile phone use among motorcyclists and electric bike riders, using a case study of Hanoi, Vietnam. A cross-sectional observation survey was undertaken at 12 sites, in which each site was surveyed during a two-hour peak period from 16:30 to 18:30 for two weekdays and one weekend day. A total of 26,360 riders were observed, consisting of 24,759 motorcyclists and 1601 electric bike riders. The overall prevalence of mobile phone use while riding was 8.4% (95% CI: 8.06-8.74%) with calling having higher prevalence than screen operation: 4.64% (95% CI: 4.39-4.90%) vs. 3.76% (95% CI: 3.52-3.99%) respectively. Moreover, the prevalence of mobile phone use was higher among motorcyclists than electric bike riders: 8.66% (95%CI: 8.30-9.01%) vs. 4.43% (95% CI: 3.40-5.47%) respectively. Logistic regression analyses revealed that mobile phone use while riding was associated with vehicle type, age, gender, riding alone, weather, day of week, proximity to city centre, number of lanes, separate car lanes, red traffic light duration, and police presence. Combining greater enforcement of existing legislations with extensive education and publicity programs is recommended to reduce potential deaths and injuries related to the use of mobile phones while riding.

Prevalence of alcohol-impaired driving and riding in northern Ghana

OBJECTIVE

The objective of this study was to determine the roadside prevalence of alcohol-impaired driving among drivers and riders in northern Ghana. The study also verifies motorists' perceptions of their own alcohol use and knowledge of the legal blood alcohol concentration (BAC) limit in Ghana.

METHOD

With the assistance of police, systematic random sampling was used to collect data at roadblocks using a cross-sectional study design. Breathalyzers were used to screen whether motorists had detectable alcohol in their breath and follow-up breath tests were conducted to measure the actual breath alcohol levels among positive participants.

RESULTS

In all, 9.7% of the 789 participants had detectable alcohol, among whom 6% exceeded the legal BAC limit of 0.08%. The prevalence of alcohol-impaired driving/riding was highest among cyclists (10% of all cyclists breath-tested) followed by truck drivers (9%) and motorcyclists (7% of all motorcyclists breath-tested). The occurrence of a positive BAC among cyclists was about 8 times higher (odds ratio [OR] = 7.73; P < .001) and it was 2 times higher among motorcyclists (OR = 2.30; P = .039) compared to private car drivers. The likelihood for detecting a positive BAC among male motorists/riders was higher than that among females (OR = 1.67; P = .354). The odds for detecting a positive BAC among weekend motorists/riders was significantly higher than on weekdays (OR = 2.62; P = .001).

CONCLUSION

Alcohol-impaired driving/riding in Ghana is high by international standards. In order to attenuate the harmful effects of alcohol misuse such as alcohol-impaired driving/riding, there is the need to educate road users about how much alcohol they can consume and stay below the legal limit. The police should also initiate random breath testing to instill the deterrence of detection, certainty of apprehension and punishment, and severity and celerity of punishment among drink-driving motorists and riders.

Motorcycle helmet use in Calicut, India: User behaviors, attitudes, and perceptions

OBJECTIVES

The objectives of this study include assessing the motorcycle helmet use pattern in Calicut, India, and analyzing the factors influencing helmet use including motorcyclists' perceptions.

METHODS

Field observational studies at 15 locations were conducted to determine the helmet use rate among motorcyclists and pillion passengers. A structured questionnaire interview survey was conducted with 709 motorcyclists to evaluate the users' perceptions and opinions regarding the use of motorcycle helmets.

RESULTS

There was a considerable difference in the level of motorcycle helmet use observed between the locations within and outside the city limits, where different levels of helmet law enforcement were exercised. The helmet use was observed at a maximum of 89% within the city and a minimum of 23% in some locations outside the city. The decreasing percentage of helmet use while moving toward the locations outside the city was confirmed statistically through t tests (t = 1.771, df = 13, P < .05). It was found that only 42% of users revealed that helmets are comfortable and 42% expressed that helmets affect hearing ability. It is important to note that 57% of users are of the opinion that there is no need to use a helmet if you drive slowly and carefully. The price of the helmet was not a deterrent for helmet use. In addition, it was observed that only 45% of helmets used by the motorist were standard helmets with an Indian Standards Institute (ISI) mark.

CONCLUSION

The widely varying helmet use pattern observed in the study area may be attributed due to the users' behaviors; that is, using a helmet only when the helmet law is strictly enforced rather than using a helmet as a protective device. Further, some of the problems and beliefs associated with helmet use prevent motorcyclists from using a helmet. Hence, the road safety of motorcyclists can be improved only through addressing the identified measures comprehensively.

Correlates and Barriers Associated with Motorcycle Helmet Use in Wa, Ghana

OBJECTIVE

This study was conducted to investigate the correlates and barriers to helmet use among motorcycle riders in Wa, a motorcycle-predominant town in Ghana. An additional objective was to determine the association between helmet use and riders' knowledge, attitudes, and beliefs toward helmets.

METHODS

Cross-sectional surveys including both observation of helmet use and interviews were conducted among motorcycle riders at 6 randomly selected fuel stations and 4 motorcycle service centers within and outside the Central Business District of Wa. Questions covered riders' sociodemographic and riding characteristics, helmet use, reasons for use or nonuse of helmets, and knowledge, attitudes, and beliefs about helmets. Analyses were based on frequencies and testing of strength of association using adjusted odds ratios (with 95% confidence intervals) in binary logistic regression.

RESULTS

The prevalence of helmet use among the 271 sampled riders was 46% (95% confidence interval [CI], 40.2-52.0). Gender, age, marital status, and occupation were significant sociodemographic correlates of helmet use in Wa. Compared to currently married riders, unmarried riders were 5 times less likely to use a helmet. No significant association existed between riders' educational attainment and helmet use. Helmet use was also positively correlated with helmet ownership and license holding. The leading reasons stated for helmet nonuse among nonusers were not traveling a long distance and helmets block vision and hearing. Protection from injury, legal requirement, and coping with the police for fear of being accosted for helmet nonuse were identified as common reasons for helmet use. Positive attitudes and beliefs were also significantly correlated with helmet use.

CONCLUSIONS

Despite the existence of a legislation mandating the use of helmets on all roads as well as the high level of awareness among riders on this legislation and the benefits of helmets, the incidence of helmet use among motorists continue to be low in Wa, Ghana. This means that efforts to identify strategies to increase helmet use need to continue. The evidence provided by this study suggests that stakeholders in road safety need to put in interventions to ensure a rigorous enforcement of the helmet use legislation and improvement in helmet design. These should be combined with the development of targeted educational programs with the aim of changing unfavorable attitudes and beliefs toward helmet use.