Table 4.

Odds ratios of correlatives for belief on traditional medicine based on multi-level logit regression models

	Model I	Model II	Model III	Model IV	Model V
Demographics
Gender (male = 1, female = 0)	0.895	0.839*	0.790**	0.888	0.758***
Age (range: 50–100)	0.991**	0.990**	0.995	0.997	0.999
Residence (urban = 1, rural = 0)	0.737*	0.687**	0.530***	0.805	0.579***
Medical factors
Hypertension (yes = 1, no = 0)		0.984			0.950
Cardiovascular diseases (yes = 1, no = 0)		1.160			1.143
Stroke (yes = 1, no = 0)		0.838			0.886
Pneumonia/ … / asthma (yes = 1, no = 0)		1.020			1.042
Diabetes (yes = 1, no = 0)		0.968			1.006
Depression (yes = 1, no = 0)		1.253			1.373
Cancer (yes = 1, no = 0)		2.100**			1.823*
Prostatitis (yes = 1, no = 0)		1.740**			1.628**
Osteoporosis/osteoarthritis (yes = 1, no = 0)		0.846			0.848
Fracture (yes = 1, no = 0)		1.511*			1.440*
Parkinson’s disease (yes = 1, no = 0)		0.550			0.556
Nervous system disease (yes = 1, no = 0)		0.706*			0.743
Socioeconomics
Education (primary school or below = 0)
Middle school			1.210		1.225
High/polytechnic school			1.499**		1.485**
Colleague or above.			1.702***		1.618**
Monthly income (range: 0–10,000 yuan)			1.066		1.053
Main occupation (professional/administrative = 0)
Clerk/service			0.774		0.820
Physical labor			0.729		0.767*
Other			0.649		0.733
Relational and contextual factors
Spouse accompany (yes = 1, no = 0)				1.161	1.078
Number of strong ties to confide				1.054***	1.052***
Knowing medical staff (yes = 1, no = 0)				1.540***	1.420***
Number of community facilities				1.023	1.015
GDP per capita in the district (unit: 10,000 yuan)				0.981	1.031
Medical staff per 10,000 residents in the district				1.018	1.002
Individual-level Intercept	2.181*	2.567**	2.018	0.695	0.911
Log Likelihood	− 2288.98	− 2269.16	− 2252.12	− 2259.44	− 2215.69
District-level Intercept	0.21	0.20	0.18	0.25	0.22
Sample size	3415	3415	3408	3415	3408

*** p < 0.001, ** p < 0.01, * p < 0.05