Objective: The Multidimensional Driving Style Inventory (MDSI) has been widely used in assessing the associations between driving styles and traffic violations and accidents in different cultural contexts. Due to the lack of a valid instrument to assess driving style, studies concerning driving style and its influence factors are limited in China. Thus, this study aimed to adapt and validate a Chinese version of the MDSI.
Methods: Seven hundred and sixty drivers aged from 19 to 60 years old were asked to complete the MDSI and a personality scale (trait anger, sensation seeking, altruism, and normlessness). Exploratory factory analysis (EFA) and confirmatory factor analysis (CFA) were used to obtain the factorial structure of the MDSI. The external validity of the MDSI was then evaluated by examining the associations between driving styles and personality traits, demographic variables, and traffic violations and crashes.
Results: EFA revealed a 6-factor structure of the MDSI (i.e., risky, anxious, angry, distress reduction, careful, and dissociative driving styles). CFA confirmed that the model fit of the MDSI was acceptable. The MDSI factors were moderately or weakly correlated with trait anger, sensation seeking, altruism, and normlessness. Significant gender and age differences in driving styles were found. Moreover, drivers who had traffic violations or crashes in the past year scored higher on risky and angry driving styles and lower on careful driving style than those who had not have traffic violations or crashes.
Conclusions: The Chinese version of the MDSI proved to be a reliable, valid, and highly useful instrument. It could be used to assess Chinese drivers who are at risk due to their maladaptive driving styles.
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http://dx.doi.org/10.1080/15389588.2018.1542140 | DOI Listing |
Tex Heart Inst J
January 2025
Department of Cardiology, The Texas Heart Institute at Baylor College of Medicine, Houston, Texas.
At the Texas Heart Institute's 2024 Cardiometabolic Syndrome Conference, held on August 23, 2024, experts from diverse academic fields spoke about novel initiatives for addressing the worsening projections for cardiometabolic syndrome. Four major areas in which innovation is ongoing were highlighted: technology, policy, population health, and lifestyle and behavioral modification. This article presents a brief contextualization, summary, and analysis of the novel initiatives being implemented in each of these 4 areas to address cardiometabolic syndrome.
View Article and Find Full Text PDFLiver Int
February 2025
Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Background And Aims: Maternal obesity increases the risk of the paediatric form of metabolic dysfunction-associated steatotic liver disease (MASLD), affecting up to 30% of youth, but the developmental origins remain poorly understood.
Methods: Using a Japanese macaque model, we investigated the impact of maternal Western-style diet (mWSD) or chow diet followed by postweaning WSD (pwWSD) or chow diet focusing on bile acid (BA) homeostasis and hepatic fibrosis in livers from third-trimester fetuses and 3-year-old juvenile offspring.
Results: Juveniles exposed to mWSD had increased hepatic collagen I/III content and stellate cell activation in portal regions.
Sensors (Basel)
January 2025
Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy.
In recent years, the growing number of vehicles on the road have exacerbated issues related to safety and traffic congestion. However, the advent of the Internet of Vehicles (IoV) holds the potential to transform mobility, enhance traffic management and safety, and create smarter, more interconnected road networks. This paper addresses key road safety concerns, focusing on driver condition detection, vehicle monitoring, and traffic and road management.
View Article and Find Full Text PDFSci Eng Ethics
January 2025
Department of Philosophy and Religious Studies, North Carolina State University, Raleigh, NC, USA.
The incorporation of ethical settings in Automated Driving Systems (ADSs) has been extensively discussed in recent years with the goal of enhancing potential stakeholders' trust in the new technology. However, a comprehensive ethical framework for ADS decision-making, capable of merging multiple ethical considerations and investigating their consistency is currently missing. This paper addresses this gap by providing a taxonomy of ADS decision-making based on the Agent-Deed-Consequences (ADC) model of moral judgment.
View Article and Find Full Text PDFTransl Behav Med
January 2025
University of Pittsburgh School of Public Health, Department of Epidemiology, Pittsburgh, PA, USA.
Background: In previous efforts, health-related quality of life (HRQoL) improved for individuals at high risk of type 2 diabetes and cardiovascular disease after participation in community-based lifestyle interventions (LI) with a moderate-to-vigorous physical activity (MVPA) movement goal.
Purpose: It is unknown whether HRQoL improves with LI when the primary movement goal is to reduce sedentary behavior. HRQoL changes were examined among adults with overweight and prediabetes and/or metabolic syndrome randomized to a 12-month Diabetes Prevention Program-based Group Lifestyle Balance (DPP-GLB) community LI work with goals of weight-loss and either increasing MVPA (DPP-GLB) or reducing sedentary time (GLB-SED).
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