Socio-Psychological Profile of Drivers Deprived of Their Driving Licenses for Driving Under the Influence of Substances
Year: 2024
Type: article
Study design: Observational Study
Abstract: Introduction. Road traffic accidents caused by driving under the influence of alcohol, drugs, or other intoxicating substances lead to serious demographic and socio-economic losses. Therefore, it is necessary to improve measures aimed at preventing such cases of traffic offense. The aim of the study was to identify the characteristics of the socio-psychological profile of drivers deprived of their driving licenses as a result of driving while intoxicated. Materials and methods. The study was conducted on a sample of 427 people aged 20 to 72. The data were recorded using the digital system for psychophysiological testing, “NS-Psychotest,” developed by Neurosoft LLC. Statistical data were calculated using IBM SPSS 23 software. Descriptive statistics, T-test, ANOVA, Pearson’s Chi-square test, and K-means cluster analysis were used. Results. Statistically significant differences were found in memory capacity and character accentuations between men and women (p £ 0.01), as well as in the severity of neurotic symptoms, stress and distress levels, cognitive functions and character accentuations between different age groups (p £ 0.05). Cluster sampling identified three profiles: a) respondents with neurotic symptoms and high stress levels; b) respondents with slowed reaction time and cognitive impairment; c) respondents with a relatively high level of psychotic and paranoid symptoms. Conclusion. Socio-psychological profiles of drivers deprived of their driving licenses for driving under the influence of substances were described. The obtained results will be useful in the elaboration of a differentiated approach to secondary prevention of impaired driving.
Source: City Healthcare
Language: English
Topic: Traffic and Road Safety
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405867852