Table 5.

Multinomial logistic regression outcomes: class-specific comparisons of odds ratios (95% CI) and p-values.

	CLASS 1	CLASS 2	CLASS 3
Intercept	1.0 (ref.)	2.052 (1.098, 3.834) 0.024	0.290 (0.109, 0.776) 0.013
Sex: Male vs. Female	1.0 (ref.)	0.881 (0.410, 1.894) 0.746	2.635 (1.237, 5.610) 0.012
Education Level: Primary School vs. No Formal Education	1.0 (ref.)	0.587 (0.235, 1.465) 0.254	1.901 (0.585, 6.177) 0.284
Education Level: Middle School vs. No Formal Education	1.0 (ref.)	0.689 (0.231, 2.058) 0.505	2.115 (0.557, 8.034) 0.271
Education Level: High School or Above vs. No Formal Education	1.0 (ref.)	0.264 (0.074, 0.937) 0.039	2.674 (0.712, 10.034) 0.144
Insurance Type: Comprehensive Employment-Based Medical Insurance vs. Basic Medical Insurance	1.0 (ref.)	0.623 (0.255, 1.523) 0.299	0.973 (0.403, 2.351) 0.952

95% CI, 95% confidence intervals; ref., reference.