Chronic Conditions and Receipt of Treatment among Urbanized Rural Residents in China
Table 4
Regressions on concern of seeking medical treatment ().
Model 1
Model 2
Model 3
Model 4
Urban residents (reference group)
Rural-to-urban migrants
0.57
0.61
0.52
0.56
[0.23, 1.44]
[0.22, 1.71]
[0.22, 1.24]
[0.21, 1.48]
Urbanized rural residents
[1.47, 2.62]
[1.50, 2.71]
[1.29, 2.68]
[1.21, 3.18]
Age
0.98*
0.98*
0.98
0.98
[0.96, 1.00]
[0.96, 1.00]
[0.96, 1.00]
[0.96, 1.00]
Female
1.03
1.03
1.03
1.03
[0.65, 1.64]
[0.63, 1.70]
[0.63, 1.67]
[0.58, 1.83]
Married
3.01*
3.57**
3.39*
4.02**
[1.20, 7.56]
[1.48, 8.62]
[1.33, 8.63]
[1.64, 9.83]
Years of schooling
1.00
0.99
1.01
1.00
[0.89, 1.13]
[0.88, 1.11]
[0.90, 1.14]
[0.89, 1.13]
Professional/managerial occupation
0.42
0.47
0.56
0.59
[0.02, 8.23]
[0.03, 8.68]
[0.03, 11.91]
[0.03, 12.69]
Household wealth
0.85
0.84*
0.89
0.89
[0.72, 1.00]
[0.72, 0.98]
[0.75, 1.05]
[0.76, 1.04]
Number of chronic conditions
1.62**
1.66***
[1.23, 2.13]
[1.27, 2.17]
Pain-related conditions
3.67**
3.89**
[1.68, 7.99]
[1.75, 8.65]
Cardiovascular conditions
2.24
2.39
[0.77, 6.48]
[0.84, 6.86]
Respiratory conditions
2.60*
2.57*
[1.19, 5.68]
[1.09, 6.08]
Other conditions
0.27
0.30
[0.07, 1.09]
[0.07, 1.35]
Urban basic medical insurance
0.57
0.53
[0.29, 1.11]
[0.28, 1.02]
New Rural Cooperative Medical Scheme
0.73
0.67
[0.40, 1.34]
[0.33, 1.38]
Commercial health insurance
0.41
0.42
[0.05, 3.19]
[0.06, 2.85]
Wald F statistics
19.15 (9, 19)
34.24 (12, 19)
18.58 (12, 19)
26.04 (15, 19)
Survey design effects (strata, cluster, and individual weight) are adjusted in the model estimations. Logistic regressions are estimated. Odds-ratios are reported; 95% confidence intervals in brackets. , , and .