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. Author manuscript; available in PMC: 2023 Apr 1.
Published in final edited form as: Alcohol Clin Exp Res. 2022 Mar 7;46(4):530–541. doi: 10.1111/acer.14797

Table 1.

Sample characterization

Frequent co-users Alcohol only
Female Male Female Male
N 8 16 41 47
Age 30.8 (8.2) 30.9 (7.2) 34.1 (10.8) 36.1 (10.2)
Income
 $0–29,999 50.0% 37.5% 43.9% 57.4%
 $30,000–59,999 50.0% 50.0% 36.6% 17.0%
 Over $60,000 0% 12.5% 19.5% 25.5%
Percent Hispanic 75.0% 50.0% 46.3% 46.8%
Race
 White 50.0% 56.3% 63.4% 63.8%
 Black 0.0% 6.3% 4.9% 6.4%
 Asian 12.5% 12.5% 4.9% 4.3%
 American Indian 25.0% 12.5% 26.8% 23.4%
 Native Hawaiian 0.0% 0.0% 0.0% 2.1%
Number drinking days 49.1 (23.8) 55.3 (23.0) 46.1 (23.9) 44.8 (27.1)
Drinks per drinking day 5.9 (2.8) 6.4 (2.4) 5.7 (3.5) 6.5 (4.8)
Drinks per day 3.7 (3.6) 3.9 (2.3) 3.2 (3.7) 3.4 (3.8)
Percent heavy drinking days 38% (37%) 37% (34%) 32% (26%) 30% (31%)
Percent heavy days while drinking 60% (34%) 58% (37%) 59% (31%) 56% (36%)
Drinks per drinking day: Co-use day 6.0 (2.7) 6.5 (2.5) - -
Drinks per drinking day: Alcohol only-use day 5.3 (1.7) 6.2 (2.8) 5.7 (3.5) 6.5 (4.8)
Percent nicotine users 50% 75%* 27%* 19%*
*

A larger proportion of male co-users used nicotine than both females and males who used alcohol only. Drinks per drinking day was computed by totaling the number of drinks consumed over the measured interval (90 days) and dividing by the total number of days in which alcohol was consumed, whereas drinks per day was computed by dividing the total number of drinks by the total number of days in the measured interval (i.e., 90). Similarly, percent heavy drinking days was computed by dividing the total number of days on which individuals had a binge episode and dividing by 90, whereas percent heavy days while drinking was computed by dividing the number of heavy drinking days by the number of days that a participant reported alcohol consumption.