Table 6.
Logistic regression analyses. Summary for predicting the use of eight different measures to control gambling (N = 5,365–5,377).
| Predictors | Pre-committed to affordable amounts | Set temporary player break(s) | Set a permanent exclusion | Taken a self-test for gambling problem | Downloaded an economical overview | Set a time limit which restricts the gambling | Contacted help services for help | Let others control the economy | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CIa | OR | 95% CIa | OR | 95% CIa | OR | 95% CIa | OR | 95% CIa | OR | 95% CIa | OR | 95% CIa | OR | 95% CIa | |
| Gender (female = 0. male = 1) | 1.10 | (0.94–1.29) | 1.38 | (1.03–1.86) | 1.69 | (1.11–2.58) | 1.75 | (1.29–2.37) | 1.89 | (1.26–2.81) | 1.09 | (0.77–1.55) | 1.19 | (0.54–2.61) | 1.24 | (0.58–2.62) |
| Age (16–17)c | 0.81 | (0.29–2.21) | 2.64 | (0.74–9.51) | 1.41 | (0.31–6.35) | 2.38 | (0.38–14.84) | 0.82 | (0.14–4.89) | 2.91 | (0.58–14.50) | 3.30 | (0.23–47.83) | n.a.b | n.a. |
| Age (18–25)c | 1.86 | (1.32–2.61) | 2.30 | (1.17–4.50) | 1.32 | (0.59–2.97) | 4.38 | (1.47–13.06) | 0.87 | (0.39–1.95) | 3.72 | (1.40–9.86) | 4.53 | (0.60–34.26) | n.a.b | n.a. |
| Age (26–65)c | 1.24 | (0.92–1.67) | 1.29 | (0.69–2.41) | 0.93 | (0.46–1.91) | 5.24 | (1.83–14.95) | 1.13 | (0.55–2.31) | 1.87 | (0.73–4.79) | 1.36 | (0.19–9.70) | n.a.b | n.a. |
| Born outside Norway in a western country (no = 0. yes = 1) | 1.69 | (1.29–2.21) | 2.43 | (1.64–3.60) | 2.62 | (1.59–4.32) | 1.66 | (1.09–2.52) | 1.92 | (1.17–3.14) | 1.83 | (1.10–3.04) | 4.25 | (1.76–10.29) | 1.83 | (0.78–4.31) |
| Born outside Norway in a non-western country (no = 0. yes = 1) | 1.40 | (0.96–2.05) | 4.00 | (2.53–6.34) | 2.47 | (1.33–4.59) | 2.82 | (1.73–4.58) | 3.50 | (2.01–6.09) | 4.67 | (2.86–7.62) | 8.28 | (3.67–18.70) | 4.08 | (1.84–9.04) |
| Participated in low-risk games only (no = 0. yes = 1) |
0.29 | (0.23–0.36) | 0.36 | (0.21–0.60) | 0.47 | (0.24–0.94) | 0.46 | (0.28–0.74) | 0.42 | (0.20–0.86) | 0.32 | (0.16–0.65) | 1.74 | (0.53–5.73) | 1.69 | (0.45–6.27) |
| Participated in random games only (no = 0. yes = 1) |
0.85 | (0.72–1.00) | 0.99 | (0.73–1.34) | 0.89 | (0.58–1.37) | 0.77 | (0.57–1.04) | 0.35 | (0.23–0.53) | 0.80 | (0.56–1.16) | 0.52 | (0.21–1.25) | 0.34 | (0.14–0.83) |
| Game spending (low = 0. high = 1) |
1.68 | (1.36–2.09) | 2.04 | (1.47–2.84) | 2.96 | (1.97–4.44) | 1.19 | (0.84–1.68) | 1.35 | (0.92–1.98) | 1.28 | (0.84–1.97) | 2.04 | (0.96–4.34) | 2.60 | (1.34–5.07) |
| Gambled online (no = 0. yes = 1) |
9.68 | (7.77–12.05) | 4.87 | (3.16–7.49) | 2.35 | (1.39–3.96) | 6.14 | (3.79–9.94) | 6.81 | (3.42–13.55) | 4.13 | (2.48–6.88) | 1.99 | (0.67–5.91) | 1.37 | (0.47–3.96) |
| Moderate risk or problem gamblers (no = 0. yes = 1) |
1.44 | (1.12–1.85) | 4.98 | (3.65–6.80) | 5.70 | (3.74–8.69) | 3.64 | (2.60–5.10) | 2.69 | (1.81–4.01) | 3.10 | (2.10–4.57) | 8.77 | (3.95–19.48) | 19.86 | (8.56–46.09) |
| Self-report. impact. gamb. adv. Lower composite score = 0 Higher composite score = 1 |
1.08 | (0.93–1.25) | 1.02 | (0.77–1.34) | 0.89 | (0.60–1.31) | 0.74 | (0.57–0.98) | 1.07 | (0.76–1.49) | 1.24 | (0.88–1.75) | 1.75 | (0.73–4.19) | 1.82 | (0.77–4.33) |
| Beliefs in RG measures Lower composite score = 0 Higher composite score = 1 |
1.76 | (1.52–2.04) | 1.39 | (1.07–1.81) | 1.23 | (0.86–1.77) | 1.32 | (1.01–1.72) | 1.04 | (0.76–1.43) | 1.61 | (1.16–2.23) | 1.06 | (0.55–2.05) | 1.15 | (0.62–2.16) |
| Cox and Snell R Square | 0.203 | 0.091 | 0.051 | 0.066 | 0.057 | 0.051 | 0.029 | 0.042 | ||||||||
| Nagelkerke R Square | 0.307 | 0.262 | 0.227 | 0.198 | 0.222 | 0.196 | 0.322 | 0.409 | ||||||||
a
Significant relationships, p ≤ 0.05, are shown in bold.
b
Results not available due to small number of observations.
c
Reference group is age group 66–74.