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Table 2 Percentage of respondents reporting gambling-related harms measured using PGSI and SOGS in 2011 and 2015

From: Attitudes towards gambling, gambling participation, and gambling-related harm: cross-sectional Finnish population studies in 2011 and 2015

  

Females

Males

Source

 

2011

2015

p

Ï•

2011

2015

p

Ï•

SOGS #4

1. Gamble more than you intended to

6.7

10.1

≤.001

.060

15.2

17.0

.123

.024

PGSI #1 / SOGS #1

2. Go back another day to win back money (chasing)

5.1

5.1

.944

.001

12.0

10.1

.035

−.033

PGSI #9 / SOGS #6

3. Felt guilty

2.8

6.4

≤.001

.085

7.0

7.4

.637

.007

PGSI #4

4. Need to gamble with larger amounts of money to maintain excitement

1.4

1.5

.898

.003

4.8

4.8

.943

.001

PGSI #7 / SOGS #5

5. People criticized your gambling

1.4

1.2

.496

−.011

3.6

3.3

.616

−.008

PGSI #2 / SOGS #3

6. Feel you have a problem

0.8

1.6

.024

.035

3.4

4.4

.117

.025

PGSI #3

7. Betting more than can afford to lose

1.3

1.7

.315

.016

4.2

4.2

1.000

.000

SOGS #7

8. Felt like you would like to stop gambling but didn’t think you could

1.2

2.4

.004

.044

2.1

2.4

.535

.011

SOGS #2

9. Claimed to be winning money gambling but weren’t really

0.9

0.4

.061

−.030

3.8

1.5

≤.001

.074

SOGS #9

10. Money arguments centred on gambling

0.8

1.2

.173

.022

1.3

1.5

.975

.005

PGSI #6

11. Gambling causing health problems

0.5

0.4

.667

−.007

1.6

2.0

.427

.014

PGSI #5 / SOGS #12-20

12. Borrowing money or selling something to finance gambling

0.4

0.5

.819

.007

1.0

0.7

.185

−.020

PGSI #8

13. Gambling causing financial problems

0.2

0.4

.588

.010

1.2

1.1

.772

.006

SOGS #11

14. Lost time from work or school

0.4

0.4

1.000

.000

0.8

0.9

1.000

.002

SOGS #8

15. Hidden betting slips

0.2

0.7

.046

.033

0.7

0.8

.604

.009

SOGS #10

16. Borrowed money and not paid them back

0.2

0.5

.221

.020

0.3

0.6

.249

.021

  1. Significance (p) between time is determined by Fisher’s exact tests for weighted data based on gender, age and region of residence; Estimate of effect size (ϕ = phi coefficient); data in 2011 (n = 2367 females and n = 2117 males, non-weighted) and 2015 (n = 2210 females and n = 2305 males, non-weighted); SOGS the South Oaks Gambling Screen, PGSI the Problem Gambling Severity Index