Research Article

Examining the Relationship between Heavy Alcohol Use and Assaults: With Adjustment for the Effects of Unmeasured Confounders

Table 1

Associations between heavy alcohol use and three outcome variables (violent behaviour, driving without wearing a seatbelt all of the time, and driving under the influence of alcohol). Estimates from standard logistic regression.

Violent behaviourDriving without seatbeltDriving while under the influence of alcohol
Odds ratio95% CIOdds ratio95% CIOdds ratio95% CI

Days of having 5+ drinks last month
01.001.001.00
11.220.961.561.130.911.412.50*2.272.76
21.43*1.061.931.35*1.021.793.30*2.963.68
3 to 41.45*1.161.821.53*1.201.954.60*4.135.12
5 to 81.98*1.582.471.38*1.081.775.77*5.156.47
9 to 302.49*2.013.101.53*1.211.936.88*6.097.77

Used tobacco last year
No1.001.001.00
Yes1.45*1.191.761.50*1.251.801.12*1.041.20

Used illicit drug last year
No1.001.001.00
Yes2.09*1.802.441.100.941.282.66*2.472.86

Age
181.001.001.00
190.860.691.080.870.661.151.030.881.19
200.70*0.550.900.970.731.291.110.951.30
210.65*0.520.831.020.771.351.29*1.111.49
22–230.56*0.450.701.30*1.011.681.43*1.251.63
24–250.49*0.390.621.180.901.551.43*1.241.64
26–290.37*0.280.501.110.811.501.43*1.231.67
30–340.31*0.220.430.950.701.311.38*1.181.62
35–490.17*0.120.240.68*0.500.931.22*1.051.42
50–640.10*0.060.170.49*0.330.721.100.931.30
65+0.14*0.050.380.48*0.280.820.66*0.520.84

Gender
Male1.001.001.00
Female0.68*0.590.790.44*0.370.520.69*0.640.73

Race
White1.001.001.00
Black2.05*1.692.470.60*0.470.760.81*0.730.91
Native American1.91*1.232.950.750.401.411.320.911.92
Native Pacific Islander3.880.9216.410.500.141.850.730.341.53
Asian1.000.611.640.730.351.490.48*0.400.58
Mixed race1.88*1.272.780.870.561.360.76*0.620.93
Hispanic1.29*1.031.600.48*0.380.610.78*0.700.87

Education
Less than high school1.001.001.00
High school graduate0.830.681.021.020.831.251.32*1.181.49
Some college0.55*0.440.690.59*0.470.741.68*1.491.90
College graduate0.36*0.260.500.28*0.210.392.16*1.902.45

Family income
<$20,0001.001.001.00
$20,000–$49,9991.070.911.260.930.761.141.28*1.161.40
$50,000–$74,9990.74*0.600.920.820.641.041.58*1.421.77
$75,000+0.78*0.630.970.77*0.610.981.70*1.531.88

Marital status
Married 1.001.001.00
Widowed 0.980.352.741.640.893.060.860.651.13
Divorced or separated 1.42*1.051.941.50*1.181.901.30*1.171.45
Never been married 1.38*1.071.771.26*1.021.551.24*1.141.36

Health status
Excellent1.001.001.00
Very good0.950.791.150.990.821.201.111.021.20
Good1.160.941.421.29*1.061.570.940.861.03
Fair1.160.881.541.60*1.212.120.78*0.670.90
Poor3.32*1.537.193.48*1.916.350.39*0.290.55

Major depressive episode
Never1.001.001.00
Ever, but not in the last 12 months1.51*1.132.011.110.781.581.58*1.411.77
In the last 12 months3.02*2.523.621.280.981.681.89*1.702.10

County metro status
Large metro1.001.001.00
Small metro1.050.891.230.950.801.131.12*1.041.20
Nonmetro1.220.991.501.32*1.081.601.020.941.12

Year of survey
20091.001.001.00
20100.920.771.091.000.851.190.950.891.03
20110.840.701.001.050.881.260.990.911.07

95% confidence interval.
.