Table 6.
Variable | βa | SE | Wald | df | P | OR | 95 % CI |
---|---|---|---|---|---|---|---|
Middle-aged | |||||||
Sex | 0.166 | 0.158 | 1.104 | 1 | 0.293 | 1.181 | 0.866–1.610 |
Education level (1) | −0.294 | 0.397 | 0.549 | 1 | 0.459 | 0.745 | 0.342–1.623 |
Education level (2) | −0.134 | 0.369 | 0.133 | 1 | 0.716 | 0.874 | 0.424–1.803 |
Education level (3) | −0.215 | 0.380 | 0.319 | 1 | 0.572 | 0.807 | 0.383–1.700 |
Income | 0.352 | 0.181 | 3.801 | 1 | 0.051 | 1.422 | 0.998–2.026 |
Residenceb | −0.432 | 0.158 | 7.501 | 1 | 0.006 | 0.649 | 0.447–0.884- |
Elderly | |||||||
Sex | −0.070 | 0.223 | 0.098 | 1 | 0.754 | 0.932 | 0.602–1.444 |
Education level (1) | 0.585 | 0.308 | 3.612 | 1 | 0.057 | 1.795 | 0.982–3.281 |
Education level (2) | 0.412 | 0.344 | 1.434 | 1 | 0.231 | 1.510 | 0.769–2.965 |
Education level (3) | 0.629 | 0.384 | 2.687 | 1 | 0.101 | 1.876 | 0.884–3.982 |
Income | 0.176 | 0.300 | 0.344 | 1 | 0.558 | 1.192 | 0.662–2.147 |
Residenceb | −0.505 | 0.217 | 5.391 | 1 | 0.020 | 0.604 | 0.394–0.924 |
aMultivariable logistic regression analysis; bcomparing rural residence with urban residence