Limited Knowledge of Safe Driving Practice among Drivers with Diabetes in Armenia: Association with Greater Risk of Motor Vehicle Accidents

Petrosyan, Lilit; Ghazaryan, Zhanna; Muradyan, Greta; Aghajanova, Elena; Brabece, Marek; Žďárská, Denisa Janíčková; Halčiaková, Katarína; Polàk, Jan; Frier, Brian M.; Brož, Jan

doi:10.4236/jdm.2019.91002

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Drivers' knowledge of their health status and safety on the road is correlated with these human characteristics [8]. Another related RTA studies with respect to the degree of knowledge and adherence to the recommended safe practice for driving and the risk of road traffic accidents among people with diabetes mellitus in Armenia is reported by [9].…”

Section: Introductionmentioning

confidence: 99%

Effect of Safety Education Intervention on Knowledge of Road Accident Prevention among Drivers in Lagos State, Nigeria

Fowode,

Nwaogazie,

Anyanwu

2023

OJSST

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The aim of this study is to assess the impact of safety education intervention on knowledge of road traffic accident prevention among drivers in Lagos State, Nigeria. This study adopted a pre-test and post-test quasi-experimental research design. A purposive sampling technique was adopted to select a total of 384 commercial drivers in Lagos State, to whom the questionnaires were served. Questionnaires were administered and retrieved before the safety training was conducted, and post-test was conducted thereafter. A response rate of 87.76% was obtained for 384 questionnaires distributed to drivers. Descriptive statistics, Analysis of Variance (ANOVA) and Pearson Correlation were carried out. Mean score of 2.50 was used as a criterion to accept or reject results. The results indicate that safety education had a positive impact on the knowledge of preventive measures for road traffic accident. It is recommended amongst others that; further measures should be developed to educate and enlighten commercial drivers on how they can comfortably avoid Road Traffic Accidents (RTAs).

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Section: Introductionmentioning

confidence: 99%

Effect of Safety Education Intervention on Knowledge of Road Accident Prevention among Drivers in Lagos State, Nigeria

Fowode,

Nwaogazie,

Anyanwu

2023

OJSST

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Diabetes and driving safety: A survey among health care professionals in Saudi Arabia

Samargandy

ALJadani

2021

Primary Care Diabetes

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A Machine Learning-Based Intelligent Vehicular System (IVS) for Driver’s Diabetes Monitoring in Vehicular Ad-Hoc Networks (VANETs)

et al. 2023

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Diabetes is a chronic disease that is escalating day by day and requires 24/7 continuous management. It may cause many complications, precisely when a patient moves, which may risk their and other drivers’ and pedestrians’ lives. Recent research shows diabetic drivers are the main cause of major road accidents. Several wireless non-invasive health monitoring sensors, such as wearable continuous glucose monitoring (CGM) sensors, in combination with machine learning approaches at cloud servers, can be beneficial for monitoring drivers’ diabetic conditions on travel to reduce the accident rate. Furthermore, the emergency condition of the driver needs to be shared for the safety of life. With the emergence of the vehicular ad-hoc network (VANET), vehicles can exchange useful information with nearby vehicles and roadside units that can be further communicated with health monitoring sources via GPS and Internet connectivity. This work proposes a novel approach to the health care of drivers’ diabetes monitoring using wearable sensors, machine learning, and VANET technology. Several machine learning (ML) algorithms assessed the proposed prediction model using the cross-validation method. Performance metrics precision, recall, accuracy, F1-score, sensitivity, specificity, MCC, and AROC are used to validate our method. The result shows random forest (RF) outperforms and achieves the highest accuracy compared to other algorithms and previous approaches ranging from 90.3% to 99.5%.

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Limited Knowledge of Safe Driving Practice among Drivers with Diabetes in Armenia: Association with Greater Risk of Motor Vehicle Accidents

Cited by 3 publications

References 13 publications

Effect of Safety Education Intervention on Knowledge of Road Accident Prevention among Drivers in Lagos State, Nigeria

Effect of Safety Education Intervention on Knowledge of Road Accident Prevention among Drivers in Lagos State, Nigeria

Diabetes and driving safety: A survey among health care professionals in Saudi Arabia

A Machine Learning-Based Intelligent Vehicular System (IVS) for Driver’s Diabetes Monitoring in Vehicular Ad-Hoc Networks (VANETs)

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