Mobile phone use while driving and the risk of collision: A study among preparatory year students at King Saud University, Riyadh, Saudi Arabia

"It's okay because I'm just driving": an exploration of self-reported mobile phone use among Mexican drivers

Introduction

Technological advancements have the potential to enhance people's quality of life, but their misuse can have a detrimental impact on safety. A notable example is the escalating issue of distracted driving resulting from the use of mobile phones behind the wheel, leading to severe crashes and injuries. Despite these concerns, both drivers' usage patterns and their risk-related associations remain scarcely documented in Mexico. Therefore, this descriptive study aimed to examine the mobile phone usage of Mexican drivers, its relationships to risk awareness and near-miss/crash involvement, and the self-reported underlying reasons for this behavior.

Methods

This cross-sectional study utilized a sample of 1,353 licensed Mexican drivers who took part in a nationwide series of interviews regarding their onboard phone use settings.

Results

A significant percentage of drivers (96.8%) recognize using a mobile phone while driving as high-risk behavior. However, only 7.4% reported completely avoiding its use while driving, with 22.4% identified as high-frequency users. Frequency was also found positively associated with the self-reported rate of near-misses and crashes. Furthermore, qualitative data analysis highlights the emergence of a 'sense of urgency' to attend to phone-related tasks in response to daily demands and life dynamics, offering a potential explanation for this behavior.

Conclusion

The results of this study suggest common patterns of onboard mobile use among Mexican drivers concerning driving situations and associated risks. This underscores the need for increased efforts to discourage onboard phone use in the country.

Traffic safety and public health in China - Past knowledge, current status, and future directions

Transportation-related harms have developed into a social disease, threatening public safety and health in China. We aimed to increase the global understanding of traffic safety and public health in China from past knowledge, current status, and future directions by collecting, collating, and analyzing the Chinese traffic incidents reported in the published literature. A systematic search of China National Knowledge Infrastructure, Weipu, and published articles referenced in PubMed, Web of Science and ProQuest between January 1, 1988 and April 30, 2023 was performed. China encountered the first recorded traffic accident as early as three thousand years ago in the Shang Dynasty. An increase in vehicle capacity and velocity increased the traffic risks during the transition from rickshaws and livestock to motor vehicles in varying traffic environments. Humans are not only the decisive factor of a large number of vehicles, traffic routes, and environmental variables, but also the victims at the end and starting point of traffic accidents. Injuries (mechanical force, burns) and diseases (traffic-related air pollution, noise) caused by traffic activities not only threaten public health, but also cause risks to safe driving. Analysis of traffic activities and biomarkers promotes the treatment of traffic injuries in ethology and medicine. China prepared for the construction of healthy transportation in the "decade of road safety" toward an estimation of worldwide road traffic injuries in 2030. Improvement of traffic safety concerning public health under the "Outline of the National Comprehensive Three-dimensional Transportation Network Planning" in China will propel the realization of worldwide traffic environmental advancement.

Car accidents and risky driving behaviors among young drivers from the Eastern Province, Saudi Arabia

Objective: In 2019, road traffic injuries were the second leading cause of death in Saudi Arabia, affecting people of all ages. While multiple factors contribute to crashes, studies highlight the role of risky driving in increasing the chances of car crashes occurring. This study examined the one-year frequency of car crashes and risky driving behaviors among young drivers of both sexes in the Saudi Arabia's Eastern Province, as well as the possible related factors and predictors that contribute toward high car crash rates.Methods: A cross-sectional study was conducted between November 2021 and February 2022 at AlAsala Colleges among young drivers aged 18 years and above. A total of 424 students were selected using stratified random sampling and answered an anonymous, self-administered, structured web-based questionnaire and the Arabic version of the Driver Behavior Questionnaire (DBQ).Results: Car crashes were reported by 26.4% of young male and 19.3% of young female drivers. Male drivers were more aggressive and exhibited more speeding-related behaviors than female drivers, regardless of slight sex differences in unsafe driving behavior. Driving experience, along with other driving characteristics and DBQ items, was found to be significantly associated with road crashes. Furthermore, the type of car, traffic violations, using a phone while driving via headphones, and a distraction-related factor, were all predictive of crash involvement.Conclusions: Young Saudi male drivers were slightly more likely to have car crashes and engage in risky driving practices than young female drivers. Various factors that are related with and predict crashes should be addressed by a collaborative multi-layered strategic plan, with interventions at several levels.

Risk of Accidents or Chronic Disorders From Improper Use of Mobile Phones: A Systematic Review and Meta-analysis

Background

Mobile phone use has brought convenience, but the long or improper use of mobile phones can cause harm to the human body.

Objective

We aimed to assess the impact of improper mobile phone use on the risks of accidents and chronic disorders.

Methods

We systematically searched in PubMed, EMBASE, Cochrane, and Web of Science databases for studies published prior to April 5, 2019; relevant reviews were also searched to identify additional studies. A random-effects model was used to calculate the overall pooled estimates.

Results

Mobile phone users had a higher risk of accidents (relative risk [RR] 1.37, 95% CI 1.22 to 1.55). Long-term use of mobile phones increased accident risk relative to nonuse or short-term use (RR 2.10, 95% CI 1.63 to 2.70). Compared with nonuse, mobile phone use resulted in a higher risk for neoplasms (RR 1.07, 95% CI 1.01 to 1.14), eye diseases (RR 2.03, 95% CI 1.27 to 3.23), mental health disorders (RR 1.16, 95% CI 1.02 to 1.32), and headaches (RR 1.25, 95% CI 1.18 to 1.32); the pooled risk of other chronic disorders was 1.20 (95% CI 0.90 to 1.59). Subgroup analyses also confirmed the increased risk of accidents and chronic disorders.

Conclusions

Improper use of mobile phones can harm the human body. While enjoying the convenience brought by mobile phones, people have to use mobile phones properly and reasonably.

Mobile applications for road traffic health and safety in the mirror of the Haddon's matrix

BACKGROUND

Road traffic accidents have been one of the leading causes of death. Despite the increasing trend of road traffic apps, there is no comprehensive analysis of their features and no taxonomy for the apps based on traffic safety theories. This study aimed to explore the characteristics of available mobile apps on road traffic health/safety and classify them with emphasis on Haddon's matrix.

METHODS

The researchers examined the mobile applications related to road traffic health/safety using qualitative content analysis. Google Play was searched using a combination of the keywords. Haddon's matrix was applied to analyze and classify those mobile apps residing in the categories of Road Traffic health & Safety, and Road Traffic Training.

RESULTS

Overall, 913 mobile apps met the inclusion criteria and were included in the final analysis. Classification of the apps based on their features resulted in 4 categories and 21 subcategories. A total number of 657 mobile apps were classified based on Haddon's matrix. About 45.67% of these apps were categorized as the road traffic health & safety group.

CONCLUSIONS

Haddon's matrix appears to have the potential to reveal the strengths and weaknesses of existing mobile apps in the road traffic accident domain. Future development of mobile apps in this domain should take into account the existing gap.

The use of mobile phone while driving: Behavior and determinant analysis in one of the largest metropolitan area of Italy

The use of mobile phones while driving is one of the main causes of road accidents and it is a phenomenon in continuous growth. The key aim of this study is to analyse simultaneously knowledge, attitudes, and behavior toward the use of mobile phones while driving in one of the largest and populous metropolitan areas of Italy, Naples. The data acquired from 774 questionnaires - administered to subjects evenly divided by gender and with an average age of 39 years - revealed that 69 % have used their mobile phone while driving at least once in their lifetime. Among those who used the phone, 63.6 % use it to make phone calls while 75.2 % only to answer them; 49.1 % read messages and only 33.3 % write them. It is also notable that 34.1 % do not stop to answer a call and only 10 % do not value the use of headsets while driving as fundamental. The results indicate that cell phone usage while driving is common in the study population, despite many having university-level education and satisfactory risks awareness. The multiple linear regression analysis shows how knowledge is not correlated to the behavior held. On the contrary, attitudes are strongly correlated to knowledge and behavior, meaning that good attitudes bring forth positive behavior. According to the collected data and statistical analysis, it is possible to identify factors that can greatly affect the use of mobile phone while driving and establish targeted prevention programs.

Mobile phone use while driving: Prevalence, task management strategies, risk perception and attitude among Qassim University students

Background:

Globally, motor vehicle accidents (MVAs) cause around 1.35 million deaths annually. Distracted driving, a risk factor for MVA, includes diversion of attention from driving because of use of mobile phone.

Objectives:

The aim of this study was to determine prevalence of mobile phone use and to explore task management strategies, risk perception and attitude towards mobile phone use while driving among Qassim University students.

Methods:

An online cross-sectional survey among 212 randomly selected medical (n = 83) and engineering students (n = 129) of Qassim University, Saudi Arabia, through semi-structured, self-administered questionnaire, designed using Google forms. The survey was conducted from February to March 2020.

Results:

The overall prevalence of mobile phone use while driving was 93.4% (medical students: 96.4%; engineering students: 91.5%). Around 49.5% participants 'often' or 'always' used mobile phone while driving. Among task management strategies, 169 (79.7%) participants were 'likely' or 'very likely' to lower their driving speed while 90 (42.5%) were 'likely' or 'very likely' to increase control over the steering while using mobile phone during driving. Regarding risk perception, 173 (81.6%) participants thought that they were 'unlikely' or 'very unlikely' to have MVA on looking at phone continuously for more than 2 s, and 185 (87.3%) participants thought that they were 'unlikely' or 'very unlikely' to have MVA by texting or browsing while driving. Thirty-six (17%) participants reported MVA because of distraction by mobile phone use while driving.

Conclusion:

High prevalence of mobile phone use during driving and low perceived risk of experiencing MVA because of mobile phone use was found among Qassim University students. Creating awareness on risks of mobile phone use while driving is recommended.

Erratum: Mobile phone use while driving and the risk of collision: A study among preparatory year students at King Saud University, Riyadh, Saudi Arabia

[This corrects the article on p. 102 in vol. 25, PMID: 29922110.].