Table 3 Part 1 binary logistic...

Table 3

Part 1 binary logistic regression: Odds ratios and 95% confidence intervals

Predictor	CLB OR [95% CI]	CLB p	GALB OR [95% CI]	GALB p	OGLC OR [95% CI]	OGLC p
F2P frequency	1.020 [0.890, 1.169]	0.774	0.932 [0.812, 1.070]	0.320	1.080 [0.930, 1.254]	0.315
F2P non-random expenditure	1.149 [1.012, 1.303]	0.031	1.301 [1.146, 1.478]	<0.001	1.187 [1.040, 1.356]	0.011
P2P frequency	0.928 [0.814, 1.058]	0.265	0.894 [0.780, 1.024]	0.107	0.904 [0.786, 1.040]	0.159
P2P access expenditure	1.175 [1.028, 1.343]	0.018	1.186 [1.035, 1.360]	0.014	1.149 [0.997, 1.325]	0.055
BP expenditure	1.467 [1.275, 1.688]	<0.001	1.267 [1.102, 1.457]	<0.001	1.229 [1.062, 1.422]	0.006
IGD score	1.012 [0.974, 1.053]	0.538	1.013 [0.974, 1.054]	0.515	0.991 [0.952, 1.033]	0.680
PGSI low	1.321 [0.737, 2.367]	0.350	1.386 [0.770, 2.494]	0.276	1.919 [1.024, 3.598]	0.042
PGSI moderate	3.813 [2.198, 6.615]	<0.001	2.144 [1.210, 3.798]	0.009	3.532 [1.932, 6.457]	<0.001
PGSI high	1.993 [0.952, 4.172]	0.067	2.594 [1.254, 5.365]	0.010	8.063 [3.812, 17.057]	<0.001

Predictor	CLB OR [95% CI]	CLB p	GALB OR [95% CI]	GALB p	OGLC OR [95% CI]	OGLC p
F2P frequency	1.020 [0.890, 1.169]	0.774	0.932 [0.812, 1.070]	0.320	1.080 [0.930, 1.254]	0.315
F2P non-random expenditure	1.149 [1.012, 1.303]	0.031	1.301 [1.146, 1.478]	<0.001	1.187 [1.040, 1.356]	0.011
P2P frequency	0.928 [0.814, 1.058]	0.265	0.894 [0.780, 1.024]	0.107	0.904 [0.786, 1.040]	0.159
P2P access expenditure	1.175 [1.028, 1.343]	0.018	1.186 [1.035, 1.360]	0.014	1.149 [0.997, 1.325]	0.055
BP expenditure	1.467 [1.275, 1.688]	<0.001	1.267 [1.102, 1.457]	<0.001	1.229 [1.062, 1.422]	0.006
IGD score	1.012 [0.974, 1.053]	0.538	1.013 [0.974, 1.054]	0.515	0.991 [0.952, 1.033]	0.680
PGSI low	1.321 [0.737, 2.367]	0.350	1.386 [0.770, 2.494]	0.276	1.919 [1.024, 3.598]	0.042
PGSI moderate	3.813 [2.198, 6.615]	<0.001	2.144 [1.210, 3.798]	0.009	3.532 [1.932, 6.457]	<0.001
PGSI high	1.993 [0.952, 4.172]	0.067	2.594 [1.254, 5.365]	0.010	8.063 [3.812, 17.057]	<0.001

Note(s): Significant predictors (p ≤ 0.05) in italic. Reference category for PGSI dummies: no risk (PGSI score = 0). All expenditure predictors log(x+1)-transformed prior to analysis. CLB = cosmetic loot boxes; GALB = game-affecting loot boxes; OGLC = other gambling-like content. N = 587

Source(s): Authors’ own work

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