METHODS: Thus, in this study, we used the Psychomotor Vigilance Test (PVT-192) and a short survey to address driving fatigue behavior and identify the influences of driving fatigue on driving performance in real life (on the road) with actual oil and gas tanker drivers. The total participants in the experimental study were 58 drivers.
RESULTS: For the analysis, a Wilcoxon Signed Ranks Test, Z value and Spearman's rho were used to measure the significant difference between the pre and post-tests of PVT and the correlation between the fatigue variables and driving performance.
DISCUSSION: During the experiment's first and second days, this study's results indicated that driving fatigue gradually escalated. Likewise, there was a negative correlation based on the test of the relationship between the PVT data and the driving performance survey data. Additionally, the drivers suffer from accumulative fatigue, which requires more effort from the transportation company management to promote the drivers awareness of fatigue consequences.
METHODOLOGY: The test was conducted for two different road conditions, tarmac and dirt roads. HAV exposure was measured using a Brüel & Kjær Type 3649 vibration analyzer, which is capable of recording HAV exposures from steering wheels. The data was analyzed using I-kaz Vibro to determine the HAV values in relation to varying speeds of a truck and to determine the degree of data scattering for HAV data signals.
RESULTS: Based on the results obtained, HAV experienced by drivers can be determined using the daily vibration exposure A(8), I-kaz Vibro coefficient (Ƶ(v)(∞)), and the I-kaz Vibro display. The I-kaz Vibro displays also showed greater scatterings, indicating that the values of Ƶ(v)(∞) and A(8) were increasing. Prediction of HAV exposure was done using the developed regression model and graphical representations of Ƶ(v)(∞). The results of the regression model showed that Ƶ(v)(∞) increased when the vehicle speed and HAV exposure increased.
DISCUSSION: For model validation, predicted and measured noise exposures were compared, and high coefficient of correlation (R(2)) values were obtained, indicating that good agreement was obtained between them. By using the developed regression model, we can easily predict HAV exposure from steering wheels for HAV exposure monitoring.
Methods: Patients presenting to the emergency department from August to October 2014 due to MVA-related injuries were recruited. After a period of at least one month, they were followed-up and screened using the validated Malay Post Traumatic Stress Disorder Checklist Civilian version. A score of 30 was chosen as the cut-off point for PTSD.
Results: In total, 112 patients presented to the emergency department following MVAs during the study period. Of these, 60.7% agreed for the follow-up. Among the respondents, the mean age was 26 years, 91.2% were males, 66.2% were married, 85.3% were Malays and 88.3% were Muslims. The calculated incidence of PTSD was 7.4%. There was no significant difference noted between the PTSD and non-PTSD groups.
Conclusion: A considerable number of MVA victims in Malaysia may develop PTSD after the accident. Further research is needed to explore the factors that contribute or protect to develop the condition.
Materials and Methods: This is a retrospective study. Parameters such as patient data, injury details, osteosynthesis implant system information, stability of fracture fragments, occlusion and complications were evaluated at different time intervals and logistic regression applied to determine the association of these factors with complications.
Results: Five hundred and ninety-three patients with mandibular fractures were included in this study (male 87.9% and female 12.1%), age range of 13-72 years (median = 22 years). Most fractures were caused by motor vehicle accidents (85.8%), assault (6.2%) and falls (4.7%). Parasymphyseal fractures were the most common (50.1%), followed by angle (35.2%) and body of mandible (25%). Median time interval between injury and intervention was 7 days (IQR 4-10). Median duration of follow-up from date of surgery was 72 days (IQR 30-230). 76.9% (456) were completely free of complications. Most complications (46%) occurred in the intermediate post-surgical period (1-6 weeks). Median interval period between surgery and complication was 15 days (IQR 7-67.5). Nerve injury and surgical site infection were the most common complications at 6.7% and 5.7%, respectively. There was a significant difference between the plating system in terms of complication outcome (p = 0.017).
Conclusion: Whilst the miniplate dimensions may be similar across different manufacturers, the complication outcome may differ between systems.