Skip to main content

Table 4 Odds ratios of correlatives for belief on traditional medicine based on multi-level logit regression models

From: Belief in and use of traditional Chinese medicine in Shanghai older adults: a cross-sectional study

 

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

  1. *** p < 0.001, ** p < 0.01, * p < 0.05