Traditional and complementary medicine (TCM) usage and its association with Patient Assessment of Chronic Illness Care (PACIC) among individuals with metabolic syndrome in primary care

Table 8 Independent factors associated with TCM use among patients with Metabolic Syndrome from MLogR analysis

Variable	Adjusted B (S.E.)	Wald (df)^a	P-value*	Adjusted OR (95% CI)
Age	−0.02 (0.15)	1.46 (1)	0.227	0.98 (0.96, 1.01)
Gender
Male				1.00
Female	0.91 (0.25)	13.62 (1)	< 0.001	2.50 (1.55, 4.06)
Marital Status
Unmarried				1.00
Married	0.75 (0.39)	3.77 (1)	0.052	2.12 (0.99, 4.52)
Education Level
Low education level				1.00
High education level	0.80 (0.23)	11.06 (1)	0.001	2.16 (1.37, 3.41)
Household Income
B40				1.00
M40	0.10 (0.28)	0.13 (1)	0.722	1.10 (0.64, 1.91)
T20	0.52 (0.37)	1.97 (1)	0.161	1.65 (0.81, 3.49)
Waist Circumference
Normal				1.00
Abnormal	0.68 (0.58)	1.40 (1)	0.237	1.97 (0.64, 6.10)
Triglycerides
Normal				1.00
Abnormal	−0.46 (0.25)	3.49 (1)	0.062	0.63 (0.39, 1.02)
Component 1 PACIC-M Mean Score	−0.78 (0.63)	1.53 (1)	0.216	0.46 (0.13, 1.58)
Component 2 PACIC-M Mean Score	−0.10 (0.29)	0.11 (1)	0.740	0.91 (0.52, 1.60)
Component 3 PACIC-M Mean Score	−1.23 (1.30)	0.90 (1)	0.343	0.29 (0.99, 1.78)
Overall PACIC-M Mean Score	0.40 (0.16)	6.31 (1)	0.011	1.49 (1.10, 2.03)

*statistically significant at α ≤0.05
^astatistical test: multiple logistic regressions. The Hosmer-Lemeshow goodness-of-fit test showed the final model was fit (P = 0.475). There were no interaction or multicollinearity problems

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