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Table 5 Summary of quasi-poisson regression predicting PGSI scores

From: Isolating the impact of specific gambling activities and modes on problem gambling and psychological distress in internet gamblers

 

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

  1. 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