2013
DOI: 10.1016/j.jflm.2012.12.003
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Estimation of blood alcohol concentration in deaths due to roadside accidents

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Cited by 11 publications
(5 citation statements)
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“…These findings are similar with the findings of Jani C B et al [5] and Rao Y et al [11] who indicated higher incidence of cases in evenings and nights. However the study differs with the findings of Arora P et al [8] who indicated maximum crashes during day time. This can be due to the fact that more number of people returns from their place of work and activity at that time.…”
Section: Discussioncontrasting
confidence: 99%
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“…These findings are similar with the findings of Jani C B et al [5] and Rao Y et al [11] who indicated higher incidence of cases in evenings and nights. However the study differs with the findings of Arora P et al [8] who indicated maximum crashes during day time. This can be due to the fact that more number of people returns from their place of work and activity at that time.…”
Section: Discussioncontrasting
confidence: 99%
“…are commonly involved along with pedestrians. Passengers of cars are less commonly involved, consistent with findings of other authors [6,8,12,13] . Drivers implicated is due to the reason that under the influence of alcohol there is a decrease in driving ability and reaction time which leads to more careless driving behavior and subsequent accidents.…”
Section: Discussionsupporting
confidence: 90%
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“…e results show that driver age ≥65, speeding, alcohol, drugs, overtaking, driving at night, improper operation, and emergency turning are related to serious roadside accidents, while road conditions (such as wet, oily, or sandy surfaces) have a minimal relationship with the severity of roadside accidents [61][62][63]. Arora et al investigated the relationship between traffic accidents and alcohol consumption in India, and the results showed that 23% of the fatal traffic accidents involve drivers who had been drinking and most of the victims were between 21 and 40 years old [64]. Moreover, Islam et al applied ML models (see (20)) and the mixed generalized ordered probit (MGOP) model (see (30) and ( 31)) to estimate the differences between drivers of different ages in terms of crash injuries [65,66].…”
Section: Severity Of Roadside Accidentsmentioning
confidence: 99%
“…It is also an important risk factor for many chronic diseases, notably high blood pressure and other cardiovascular diseases, [5][6][7] poor mental health, [8,9] unsafe driving, and traffic accidents. [10][11][12][13][14] Around 4.9% of the world's adult population is believed to suffer from alcohol use disorder. [15] Harmful alcohol use stems from regular, heavier drinking, defined as drinking more than 40 g of pure alcohol per day for men and 20 g of pure alcohol per day for women.…”
Section: Introductionmentioning
confidence: 99%