Advanced Modeling Based on the Least Squares of Minor Injuries Leading to Hospitalization of Motorcyclists in Tabriz City
Road traffic accidents are a serious public health problem in the world, with mortality due to road traffic accidents occurring in low and middle income countries. In low and middle income countries with high incomes, pedestrians, motorcyclists and cyclists account for a high share of vehicle users, and half of the casualties are traffic accidents in motorcyclists. The purpose of this study was to determine the predictive value of a structural equation model based on least squares for injuries leading to motorcyclist hospitalization in a casecontrol study. The present study was a case-control study with 300 cases and 156 controls, and 50 clusters from among 150 clusters were selected randomly by cluster sampling. The findings of this study showed that considering the superiority of the SEM model on PLS, the results showed that motor behavior behaviors of motorcyclists, adults, adults, motorcyclist behavior and demographic characteristics were considered as predictive variables for the response variable. Also, there was a direct, positive and significant relationship between driving time in dark hours (P = 0.001, OR = 01.01), high child (P = 0.077, OR = 0.61, talking with cell phone number 010 (OR = 0.22), OR = 2.2 and MRBQ (motor behavior of motorcyclists) (P = 0.92, 1/28). Also, there is a reverse and meaningful relationship between marital status variables (P = 0.002, OR=0.43) and education level (OR = 0/29) (P = 0.001) .The results showed that in the present data, the model of structural equations based on the least squares, which is better model, is suggested, which results Can be considered for traffic data.
Traffic Management Studies, Volume:13 Issue:51, 2019
31 - 52
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