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. 2017 Feb 21;24(5):778–788. doi: 10.1007/s12529-016-9629-9

Table 1.

Baseline characteristics at recruitment for students with excessive alcohol consumption in a randomized brief intervention app trial

Characteristic Controls (n = 144) Wait list (n = 93) TeleCoach (n = 93) Total (n = 330) p valuesb
AUDITa 14.08 (5.00) 12.69 (4.10) 13.27(4.68) 13.46 (4.69) 0.074
Women (%) 66.7 72.0 69.9 69.1 0.669
Age: mean (SD) 25.72 (6.75) 24.67 (6.42) 25.66 (5.99) 25.41 (6.45) 0.427
Measures of alcohol consumption: means (SD)
 Quantity (standard glasses per week) 17.16 (7.87) 16.41 (6.28) 16.58 (7.84) 16.79 (7.43) 0.716
 Frequency (drinking occasions per week) 3.53 (1.39) 3.28 (1.21) 3.35 (1.20) 3.41 (1.29) 0.314
 Binge occasions (number per week) 1.87 (0.86) 1.95 (0.99) 1.87 (0.91) 1.89 (0.91) 0.788
 Average eBACc per week 0.037 (0.019) 0.041 (0.032) 0.035 (0.023) 0.038 (0.024) 0.227
 Peak eBACd within past month 1.947 (0.960) 2.024 (1.115) 1.844 (0.904) 1.940 (0.991) 0.464
 Motivation to reduce alcohol consumption (Scale 0–10) 4.85 (2.80) 4.83 (2.72) 4.83 (2.67) 4.84 (2.73) 0.997

aAUDIT scores were collected at recruitment to the parallel ongoing study B, 6 weeks before recruitment to study C

b P values are based on ANOVA models for AUDIT, age, quantity, frequency, binge occasions, average eBAC, and peak eBAC while Pearson’s chi-square statistic was used for the proportion of women

cEstimated average percentage per week

dEstimated average peak percentage Blood Alcohol Count (BAC) within the past month