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. 2021 Mar 26;23(3):e25786. doi: 10.2196/25786

Table 1.

Descriptive statistics for the overall sample at baseline (N=36).

Demographic and diagnostic measures Value, n (%)
Gender (male) 22 (61)
Age group (years)

18-24 1 (3)

25-34 14 (39)

35-49 17 (47)

50-64 4 (11)

65+ 0 (0)
Born in Australia 11 (31)
Smartphone operating system

Android 16 (44)

iOS (iPhone) 20 (56)
Employment

Work full time 25 (69)

Work part time or casual 6 (17)

Unemployed 2 (6)

Full-time student 1 (3)

Full-time home duties 0 (0)

Retired 1 (3)

Other (work cover because of injury) 1 (3)
Past-month problem with gambling activitiesa

Electronic gaming machines or pokies 27 (75)

Table games (eg, roulette and poker) 7 (19)

Horses, harness racing, or grayhound racing 15 (42)

Sports and event betting 14 (39)

Number games (eg, lotteries, keno, and bingo) 5 (14)

Informal private betting 34 (94)
Past-year problem gambling severity (Problem Gambling Severity Index)b

No-risk gambling (score of 0) 0 (0)

Low-risk gambling (scores of 1-2) 0 (0)

Moderate-risk gambling (scores of 3-8) 2 (6)

Problem gambling (scores of 8 or higher) 34 (94)
Hazardous alcohol use (Alcohol Use Disorders Identified Test-3)c 28 (78)
High psychological distress (Distress thermometer)d 29 (81)

aParticipants could indicate a problem with more than one gambling activity.

bThe Problem Gambling Severity Index was used, with scores ranging from 0 to 27.

cThe Alcohol Use Disorders Identified Test-3 [59] was used to measure hazardous alcohol use, defined as a score of 1 or more (range 0-4).

dThe Distress thermometer was used to measure psychological distress, defined as a score of 4 or more (range 0-10) [60].