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Table 5 Factors influencing undetectable and high alcohol intoxication levels

From: High levels of alcohol intoxication and strong support for restrictive alcohol policies among music festival visitors

D.V. BAC
0.001–0.09% vs:
0% ≥0.10%
χ2 O.R. 95% C.I. p-value χ2 O.R. 95% C.I. p-value
Age 6.97 0.97 0.95–0.99 0.008 7.70 1.03 1.00–1.04 0.006
Gender (female vs. male) 16.38 1.93 1.41–2.67 < 0.001 2.16 0.81 0.61–1.07 0.142
Risky alcohol use 17.78 0.49 0.35–0.68 < 0.001 8.96 1.58 1.17–2.12 0.003
Camping ticket 16.19 0.37 0.23–0.60 < 0.001 1.74 1.38 0.86–2.23 0.187
Entering the festival 12.84 0.53 0.38–0.75 < 0.001 3.40 1.30 0.99–1.74 0.065
Agree with S1 10.15 0.49 0.32–0.76 0.001 3.57 1.31 0.99–1.74 0.059
Agree with S2 0.55 0.82 0.49–1.38 0.457 0.001 0.99 0.70–1.41 0.973
Agree with S3 1.39 1.28 0.85–1.93 0.238 1.41 0.84 0.62–1.12 0.235
Agree with S4 0.15 1.09 0.70–1.71 0.695 0.93 0.85 0.61–1.19 0.335
Agree with S5 0.68 1.34 0.67–2.70 0.408 10.20 0.53 0.36–0.78 0.001
  1. Using multinomial logistic regression analysis, the influence of the following factors on blood alcohol concentration (BAC) levels were investigated: age, gender, self-reported risky alcohol use according to AUDIT-C (cut-off 4 for women, 5 for men), ticket type (camping ticket vs. 4-day or 1-day ticket without camping), entering versus exiting the festival, and agreeing with statements S1 to S5 (n = 1318). BAC categories of 0% and ≥ 0.10% were compared with the reference category 0.001–0.09%. All shown independent variables are dichotomous except for age (continuous)