Table 2.
Results of models I, with age and gender as covariates among 25,372 community sample of adults
| |
|
|
|
|
|
95% C.I. for EXP(B) |
|
|---|---|---|---|---|---|---|---|
| B | S.E. | Wald | Sig. | Exp(B) | Lower | Upper | |
|
China |
|
|
|
|
|
|
|
| Diabetes |
.046 |
.057 |
0.636 |
.425 |
1.047 |
0.936 |
1.171 |
| Age |
.119 |
.002 |
4322.269 |
< .001 |
1.126 |
1.122 |
1.13 |
| Female gender |
.823 |
.038 |
474.844 |
< .001 |
2.277 |
2.115 |
2.452 |
|
Mexico |
|
|
|
|
|
|
|
| Diabetes |
.294 |
.149 |
3.866 |
.049 |
1.342 |
1.001 |
1.798 |
| Age |
.073 |
.008 |
78.043 |
< .001 |
1.075 |
1.058 |
1.093 |
| Female gender |
1.087 |
.134 |
66.085 |
< .001 |
2.966 |
2.282 |
3.855 |
|
Barbados |
|
|
|
|
|
|
|
| Diabetes |
.575 |
.151 |
14.59 |
< .001 |
1.778 |
1.323 |
2.389 |
| Age |
.064 |
.008 |
65.319 |
< .001 |
1.066 |
1.05 |
1.083 |
| Female gender |
.625 |
.143 |
19.177 |
< .001 |
1.869 |
1.413 |
2.472 |
|
Brazil |
|
|
|
|
|
|
|
| Diabetes |
.298 |
.121 |
6.036 |
.014 |
1.347 |
1.062 |
1.708 |
| Age |
.075 |
.006 |
164.576 |
< .001 |
1.078 |
1.066 |
1.09 |
| Female gender |
.973 |
.098 |
98.472 |
< .001 |
2.646 |
2.183 |
3.207 |
|
Chile |
|
|
|
|
|
|
|
| Diabetes |
.372 |
.176 |
4.494 |
.034 |
1.451 |
1.029 |
2.048 |
| Age |
.065 |
.008 |
69.835 |
< .001 |
1.067 |
1.051 |
1.083 |
| Female gender |
1.095 |
.134 |
66.678 |
< .001 |
2.99 |
2.299 |
3.89 |
|
Cuba |
|
|
|
|
|
|
|
| Diabetes |
.378 |
.138 |
7.532 |
.006 |
1.459 |
1.114 |
1.91 |
| Age |
.062 |
.006 |
112.843 |
< .001 |
1.064 |
1.052 |
1.076 |
| Female gender |
1.009 |
.112 |
80.636 |
< .001 |
2.742 |
2.2 |
3.417 |
|
Uruguay |
|
|
|
|
|
|
|
| Diabetes |
.323 |
.172 |
3.532 |
.060 |
1.382 |
0.986 |
1.936 |
| Age |
.06 |
.008 |
54.291 |
< .001 |
1.062 |
1.045 |
1.079 |
| Female gender | .785 | .133 | 34.711 | < .001 | 2.193 | 1.689 | 2.847 |