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Table 3 Adjusted odds ratios for participants’ health-related outcomesa

From: Assessment of the health status and health service perceptions of international migrants coming to Guangzhou, China, from high-, middle- and low-income countries

 

Perceived good health status

Became healthier since coming to China

Ever had health problems in China

Had medical insurance in China

Perceived health services in China as good

ORm

(95% CI)

ORm

(95% CI)

ORm

(95% CI)

ORm

(95% CI)

ORm

(95% CI)

Countries by income levels

 LICs

1.00

 

1.00

 

1.00

 

1.00

 

1.00

 

 MICs

0.55

(0.29, 1.04)

0.81

(0.54, 1.22)

2.20

(1.25, 3.85)**

1.12

(0.75, 1.67)

0.83

(0.60, 1.16)

 HICs

0.41

(0.21, 0.80)**

0.33

(0.19, 0.56)***

3.53

(1.93, 6.44)***

2.63

(1.67, 4.15)***

0.29

(0.19, 0.43)***

Socio-demographic characteristics

 Gender

–

     

–

 

–

 

  Male

  

1.00

 

1.00

     

  Female

  

0.52

(0.33, 0.81)**

1.44

(0.99, 2.09)+

    

 Age (years)

–

       

–

 

  18–25

  

1.00

 

1.00

 

1.00

   

  26–35

  

1.01

(0.64, 1.59)

0.89

(0.57, 1.40)

0.74

(0.50, 1.1)

  

  > 35

  

1.25

(0.72, 2.15)

0.67

(0.38, 1.20)

1.20

(0.74, 1.95)

  

 Education level

–

 

–

 

–

   

–

 

  Junior high or below

      

1.00

   

  Senior high school

      

1.74

(0.77, 3.89)

  

  College or above

      

2.75

(1.32, 5.72)**

  

 Current marital status

–

       

–

 

  Married

  

1.00

 

1.00

 

1.00

   

  Cohabitation

  

0.68

(0.33, 1.40)

1.95

(1.06, 3.61)*

2.57

(1.49, 4.43)**

  

  Single

  

0.76

(0.51, 1.14)

1.52

(0.99, 2.33)+

1.44

(1.00, 2.07)

  

Migration-related characteristics

 Visa type

–

 

–

     

–

 

  Tourist visa

    

1.00

 

1.00

   

  Business visa

    

1.80

(0.98, 3.28)

1.16

(0.69, 1.94)

  

  Work visa

    

1.43

(0.80, 2.57)

2.37

(1.45, 3.88)**

  

  Student visa

    

1.26

(0.67, 2.38)

3.57

(2.06, 6.19)***

  

  Others

    

1.71

(0.86, 3.43)

1.97

(1.09, 3.56)*

  

 Number of visits to China

–

 

–

   

–

   

  Once

    

1.00

   

1.00

 

  2–5 times

    

1.26

(0.79, 2.02)

  

0.83

(0.60, 1.16)

  6–10 times

    

1.40

(0.77, 2.55)

  

0.81

(0.52, 1.26)

  > 10 times

    

1.65

(0.96, 2.81)

  

0.81

(0.56, 1.15)

 Number of cumulative months of stay in China

–

 

  0–6

1.00

 

1.00

 

1.00

 

1.00

   

  7–12

1.12

(0.55, 2.30)

1.58

(0.96, 2.59)

1.21

(0.72, 2.03)

0.89

(0.56, 1.42)

  

  13–60

1.01

(0.56, 1.85)

1.21

(0.77, 1.91)

1.22

(0.76, 1.94)

1.41

(0.95, 2.09)

  

  61≤

0.45

(0.25, 0.79)**

1.02

(0.58, 1.77)

1.62

(0.95, 2.75)

1.07

(0.65, 1.75)

  

Social integration in China

 Had a Chinese name

–

         

  No

  

1.00

 

1.00

 

1.00

 

1.00

 

  Yes

  

0.76

(0.54, 1.08)

1.15

(0.78, 1.70)

1.15

(0.82, 1.62)

0.83

(0.63, 1.11)

 Had education experience in China

–

 

–

 

–

   

–

 

  No

      

1.00

   

  Yes

      

1.08

(0.74, 1.58)

  

 Proficiency in Mandarin

–

 

–

       

  Know nothing

    

1.00

 

1.00

 

1.00

 

  Know little

    

1.24

(0.72, 2.13)

0.94

(0.62, 1.42)

0.94

(0.66, 1.35)

  Fair (can deal with daily life)

    

1.75

(0.96, 3.18)

0.91

(0.56, 1.48)

1.02

(0.67, 1.55)

  Fluent

    

1.76

(0.88, 3.51)

0.66

(0.37, 1.17)

0.60

(0.36, 1.00)

 Proficiency in English

–

 

–

 

–

 

–

 

  Know nothing

1.00

         

  Know little

2.48

(0.98, 6.26)

        

  Fair (can deal with daily life)

3.66

(1.51, 8.89)**

        

  Fluent

5.27

(2.22, 12.48)***

        

Social network in China

 Number of Chinese acquaintances one knew in Guangzhou

        

  0–10

1.00

 

–

 

1.00

 

1.00

 

–

 

  11–50

1.70

(1.04, 2.78)*

  

1.04

(0.69, 1.56)

1.35

(0.96, 1.89)

  

  51≤

1.68

(1.03, 2.74)*

  

1.18

(0.78, 1.79)

1.32

(0.93, 1.88)

  

 Participation in hometown associations/the Chamber of Commerce in Guangzhou

  No

–

 

1.00

 

1.00

 

1.00

 

–

 

  Yes

  

1.68

(1.14, 2.49)**

1.24

(0.82, 1.89)

1.66

(1.14, 2.41)**

  
  1. a: Variables that were non-significant in univariate logistic regression models of all outcome variables were not listed in the table, namely currently has a job in China, number of years since the first visit to China, and number of fellow townsmen one knew in Guangzhou
  2. --: Variables that were non-significant in univariate logistic regression models. +: p < 0.1; *: p < 0.05; **: p < 0.01; ***: p < 0.001. Odds ratios (ORs) and 95% confidence intervals (CIs) with p < 0.05 are presented in bold