Skip to main content
. 2019 Jan 25;15:9. doi: 10.1186/s12992-019-0449-y

Table 3.

Adjusted odds ratios for participants’ health-related outcomesa

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)**

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

--: 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