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. 2019 Oct 25;19:1372. doi: 10.1186/s12889-019-7738-5

Table 5.

Summary of quasi-poisson regression predicting PGSI scores

B SE t Lower CI Upper CI p
(Intercept) 0.79 0.32 2.46 0.16 1.41 .014
Online Gambling Frequency
 Lottery −0.03 0.06 −0.57 −0.14 0.08 .567
 EGM 0.25 0.06 4.12 0.13 0.37 < .001
 Sports betting −0.04 0.06 −0.70 − 0.16 0.07 .483
 eSports betting 0.08 0.07 1.04 −0.07 0.22 .300
 Race wagering 0.07 0.06 1.24 − 0.04 0.18 .217
 Poker −0.07 0.08 −0.94 − 0.23 0.08 .346
 Casino games 0.00 0.07 0.05 −0.14 0.15 .963
Venue Gambling Frequency
 Lottery 0.03 0.06 0.61 −0.07 0.14 .539
 EGM 0.30 0.06 5.00 0.18 0.42 < .001
 Sports betting 0.13 0.06 2.07 0.01 0.26 .039
 eSports betting −0.03 0.08 −0.35 −0.19 0.13 .726
 Race wagering 0.02 0.06 0.38 −0.10 0.14 .703
 Poker −0.04 0.08 −0.47 −0.21 0.13 .638
 Casino games 0.16 0.08 1.96 −0.00 0.31 .050
Age −0.02 0.00 −4.83 −0.02 −0.01 < .001
Gender (ref. Male) 0.08 0.08 0.97 −0.08 0.24 .331
Ethnicity (ref. European)
 Asian 0.23 0.11 2.05 0.01 0.46 .040
 Other 0.09 0.16 0.52 −0.25 0.40 .603
 Indigenous Australian 0.11 0.22 0.50 −0.34 0.51 .619
Relationship Status (ref. Not in a romantic relationship)
 Casually dating (i.e., not exclusive) −0.00 0.17 −0.01 −0.34 0.32 .995
 Exclusively dating −0.03 0.17 −0.19 −0.37 0.29 .850
 Engaged 0.23 0.22 1.01 −0.23 0.64 .311
 Living together 0.13 0.15 0.90 −0.16 0.41 .368
 Married or defacto 0.09 0.10 0.96 −0.09 0.28 .335
Education (ref. Postgraduate qualification)
 University or college degree −0.05 0.12 −0.42 −0.28 0.19 .672
 Trade/technical certificate/diploma 0.01 0.14 0.06 −0.26 0.28 .956
 Year 12 or equivalent −0.05 0.14 −0.32 −0.32 0.23 .746
 Year 10 or less 0.03 0.17 0.19 −0.31 0.37 .849
Work Status (ref. Work full-time)
 Work part-time or casual 0.14 0.11 1.33 −0.07 0.34 .185
 Full-time student 0.08 0.18 0.46 −0.27 0.42 .647
 Full-time home duties 0.07 0.16 0.41 −0.26 0.38 .681
 Unemployed −0.19 0.13 −1.46 −0.45 0.06 .146
Household Income (ref. Less than $25,000 per year)
 $25,000–$49,999 − 0.31 0.15 −2.02 −0.61 −0.01 .043
 $50,000–$74,999 −0.31 0.16 −1.90 −0.62 0.01 .058
 $75,000–$99,999 −0.51 0.17 −2.96 −0.84 −0.17 .003
 $100,000–$124,999 −0.54 0.19 −2.85 −0.90 − 0.17 .004
 $125,000–$149,999 − 0.42 0.20 −2.07 − 0.81 − 0.02 .039
  > $150,000 − 0.34 0.19 −1.83 − 0.70 0.02 .067
 I prefer not to say −0.62 0.19 −3.19 −1.00 −0.24 .001
Other Language at Home (ref. Yes) −0.00 0.12 −0.04 − 0.25 0.24 .968

Adj. R2v = .34. Bolding of model parameters indicates that the coefficient was a significant unique predictor. Levels within categorical predictors were collapsed when there were only a small proportion of participants that endorsed an option (e.g., Ethnicity – Other includes Middle Eastern, African, Latin, Central and South American, and Pacific Islander participants). A single participant selected “Other” as their gender and was omitted from the regression