Table 4.

Logistic regression analysis predicting stigma and discrimination

Variable		Stigma			Discrimination
		OR	95% CI	p	OR	95% CI	p
Gender
	Man	1.000			1.000
	Woman	2.087	1.295–3.362	0.003**	0.968	0.690–1.358	0.850
Age
	19–39 yr	1.000			1.000
	≥40 yr	1.939	1.270–2.962	0.002**	1.185	0.856–1.639	0.306
Monthly income
	1,990,000–3,990,000 KRW	1.000			1.000
	≥4,000,000 KRW	1.150	0.751–1.763	0.520	1.989	1.444–2.739	<0.001***
Opioid (narcotic) analgesics misuse
	Yes	1.000			1.000
	No	8.172	2.481–26.920	0.001**	1.184	0.384–3.648	0.768
Drinking
	Yes	1.000			1.000
	No	1.269	0.762–2.113	0.360	1.102	0.774–1.570	0.590
Smoking
	Yes	1.000			1.000
	No	2.011	1.240–3.259	0.005**	1.608	1.083–2.386	0.018*
Therapeutic effect		1.364	0.890–2.091	0.154	1.374	0.998–1.893	0.052
Medical treatment		1.998	1.250–3.193	0.004**	1.105	0.752–1.626	0.611
Government support		8.251	1.100–61.914	0.040*	2.598	0.991–6.807	0.052
Causes of addiction
	1. Character, will, and bad habits	1.388	0.898–2.147	0.140	1.223	0.885–1.691	0.222
	2. Mental illness, loss of brain control	1.000			1.000

^*p<0.05;

^**p<0.01;

^***p<0.001.

OR, odd ratio; CI, confidence interval