Association between state level drinking and driving countermeasures and self reported alcohol impaired driving.
OBJECTIVE
In 1999, alcohol related motor vehicle crashes in the United States claimed 15786 lives and injured more than 300000 persons. Drinking and driving behavior is shaped by individual and environmental level influences. In this study, the association between each state's driving under the influence of alcohol (DUI) countermeasures and self reported alcohol impaired driving was explored.


METHODS
Mothers Against Drunk Driving's (MADD's) Rating the States 2000 survey, which graded states on their DUI countermeasures from 1996-99, was used as an index of each state's comprehensive DUI prevention activities. Information on alcohol impaired driving from residents of each state was obtained from the 1997 Behavioral Risk Factor Surveillance System (BRFSS) survey. The association between the MADD state grades and alcohol impaired driving was assessed using multiple logistic regression.


RESULTS
Of the 64162 BRFSS respondents who reported drinking any alcohol during the past month, 2.1% of women and 5.8% of men reported at least one episode of alcohol impaired driving in the past month. Those living in states with a MADD grade of "D" were 60% more likely to report alcohol impaired driving than those from states with a MADD grade of "A" (odds ratio 1.6, 95% confidence interval 1.3 to 2.1). The association existed for men and women.


CONCLUSIONS
These findings suggest that stronger state level DUI countermeasures are associated with lower rates of self reported alcohol impaired driving.
National Center for Injury Prevention and Control, Centers for Disease Control and Prevention CDC, Atlanta, Georgia 30341-3724, USA. ras1@cdc.gov
R A
RA
Shults
D A
DA
Sleet
R W
RW
Elder
G W
GW
Ryan
M
M
Sehgal
D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000328:Adult; D000367:Age Factors; D000435:Alcoholic Intoxication / Q000453:epidemiology*; D001334:Automobile Driving / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance; D012307:Risk Factors; D012737:Sex Factors; D014481:United States / Q000453:epidemiology