Table 3.
Variable | Logistic regression model | |||
---|---|---|---|---|
Men | Women | |||
OR | 95 % CI | OR | 95 % CI | |
Amalgam fillings | ||||
No | 1.00 | - | 1.00 | - |
Yes | 1.07 | 0.962-1.196 | 1.132 | 1.022-1.254 |
Age | 1.09 | 1.084-1.096 | 1.085 | 1.080-1.090 |
Income (NT$) | ||||
Dependent | 1.278 | 1.156-1.413 | 1.455 | 1.335-1.585 |
1–20,000 | 1.162 | 1.052-1.284 | 1.452 | 1.297 -1.625 |
20,001-40,000 | 1.00 | - | 1.00 | - |
>40,000 | 0.945 | 0.656-1.360 | 1.770 | 1.113-2.815 |
Region | ||||
Area 1a | 0.838 | 0.740-0.950 | 0.650 | 0.579-0.730 |
Area 2b | 1.00 | - | 1.00 | - |
Area 3c | 1.302 | 1.142-1.484 | 0.991 | 0.878-1.118 |
Area 4d | 1.409 | 1.234-1.610 | 1.087 | 0.963-1.228 |
Area 5e | 0.801 | 0.692-0.929 | 0.695 | 0.606-0.796 |
Area 6f | 0.881 | 0.685-1.134 | 0.611 | 0.466-0.800 |
Odds ratio was adjusted for age, income, and residential region
aArea 1 (Taipei): Taipei City and County, Yilan County, Keelung City, Kinmen County, and Lienhiang County)
bArea 2 (Northern): Taoyuan County, Hsinchu County, Miaoli County, and Hsinchu City
cArea 3 (Central): Taichung City, Taichung County, Changhua County, and Nantou County
dArea 4 (Southern): Tainan City and County, Chiayi City and County, Yunlin County
eArea 5 (Kao-Ping): Kaohsiung City and County, Pingtung County, Penghu County
fArea 6 (Eastern): Hualin and Taitung County