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. 2020 Jul 31;26(3):385–392. doi: 10.4094/chnr.2020.26.3.385

Table 4.

Multinomial Logistic Regression Analysis for Gambling Subgroup–related Variables (N=1,200)

Variables Model (reference: rarely gambling subgroup)
Immediate gain gambling subgroup
Broad gambling subgroup
OR 95% CI p OR 95% CI p
GPSS/CAGI score 1.24 1.08~1.42 .002 1.12 0.99~1.27 .082
Age at first gambling experience (year) 1.49 1.20~1.85 <.001 1.13 1.00~1.28 .043
Most frequent type of gambling
Offline 0.23 0.06~0.84 .026 1.83 0.47~7.19 .385
Online 0.89 0.21~3.73 .875 3.67 0.83~16.27 .087
Illegal online
Frequency of gambling within 3 months 1.39 0.99~1.96 .055 1.03 0.78~1.36 .835
Time spent on gambling (minute) 1.00 0.99~1.00 .488 1.00 1.00~1.00 .707
Money spent on gambling (KRW) 1.00 1.00~1.00 .939 1.00 1.00~1.00 .575
Money lost on gambling (KRW) 1.00 0.90~1.00 .879 0.87 0.81~0.94 .824
Money won from gambling (KRW) 1.00 1.00~1.00 .203 1.00 1.00~1.00 .172
Type of institution
Youth support center 0.60 0.21~1.74 .346 0.79 0.31~1.97 .605
Juvenile shelter/alternative school 1.96 0.28~13.58 .498 3.85 0.73~20.30 .112
Probation center 0.35 0.11~1.10 .425 0.68 0.27~1.75 .425
Juvenile reformatory
-2 log likelihood 501.29
x2 (df) 26.00
Nagelkerke R2 .464

CAGI=Canadian Adolescent Gambling Index; CI=Confidence interval; GPSS=Gambling Problem Severity Scale; KRW=Korean Won; OR=Odds ratio.