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A Cross-sectional Study of Drink Driving and Related Factors

Author: TangHongXiu
Tutor: YinPing
School: Huazhong University of Science and Technology
Course: Epidemiology and Biostatistics,
Keywords: Drinking Drink driving knowledge attitudes behavior related factors
CLC: R181.3
Type: Master's thesis
Year: 2012
Downloads: 8
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Objectives(1) To understand the drink driving situations in our country, such as the prevalence and related behaviors.(2) To understand public awareness of drinking-driving behaviors, its harmful results and related legal institutions.(3) To analyze related factors influencing the behavior of drinking-driving and provide some guidance for reducing the prevalence of drinking-driving.MethodsDuring February2012to May2012, a survey using sampling of stratified cluster was conducted in Wuhan, Xian, Nanjing among6870local residents aged18to70years old. The Survey on Knowledge, Attitudes, Behavior about Drink Driving Questionnaire was used to collect data on history of drinking, driving, related knowledge, attitudes, drinking-driving behavior.6232valid response were returned. Chi-square measures or Fisher’s accurate algorithms were used to compare categorical data. Logistic analysis was used to examine the factors influencing drinking-driving behavior.Results(l)Awareness rates of the lowest blood alcohol concentration of drinking-driving and drunk-driving, the influences of alcohol on driving,’people with drinking-driving behavior is subject to criminal penalties or not’,’how many years the license of a drunk driver would be revoked for’are respectively21.90%、13.62%、27.41%、91.77%、20.08%、9.85%.(2)Different awareness on drinking-driving and related knowledge was found among different gender, age, education, job, place of residence, income, marriage status groups.(3) The prevalence of drinking-driving among the drivers is17.29%,17.53%for males and16.78%for females.(4) Males (OR=1.67,95%CI=1.13~2.25) had a higher likelihood of drinking-driving than females; City dwellers (OR=1.64,95%CI=1.09~2.33) had a higher likelihood of drinking-driving than villagers; Higher drinking frequency (OR=2.49,95%CI=2.21~2.80) increased the likelihood of drinking-driving; Higher driving frequency(OR=1.42,95%CI=1.21~1.68) increased the likelihood of drinking-driving; Knowledge (OR=0.54,95%CI=0.38~0.78) on drinking-driving lowered the likelihood of drinking-driving; Those who took a car by drinking drivers (OR=6.19,95%CI=4.31~8.88) had a higher likelihood of drinking-driving than the counterparts; Using a seat belt (OR=0.48,95%CI=0.30~0.77) lowered the likelihood of drinking-driving.ConclusionsThe public awareness of drinking-driving and related knowledge should be improved. Different people have different ideas on drinking-driving, so gender, age, education, job, place of residence, income, marriage status should be considered when working for drinking-driving behavioral intervention. Drinking-driving behavior was influenced by gender, place of residence, drinking frequency, driving frequency, awareness of drinking-driving, taking a car by a drinking driver and using a seat belt. Those influenced factor should be considered to reduce the prevalence of dinking-driving.

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