Table 1.
Characteristic |
TCM Nonusers |
TCM Users |
AdjustedaOR | 95% CI | ||
---|---|---|---|---|---|---|
Total | % | Total | % | |||
Patient no. |
5118 |
|
1240 |
|
|
|
Age |
59.65 ± 12.30 |
57.95 ± 11.46 |
|
|
||
<50 (reference) |
1315 |
25.69 |
343 |
27.66 |
1.00 |
|
50s |
1283 |
25.07 |
383 |
30.89 |
1.15 |
0.97-1.37 |
60s |
1274 |
24.89 |
275 |
22.18 |
0.84 |
0.69-1.02 |
> = 70s |
1246 |
24.35 |
239 |
19.27 |
0.79 |
0.64-0.97 |
Gender |
|
|
|
|
|
|
Female (reference) |
1957 |
38.24 |
631 |
50.89 |
1.00 |
|
Male |
3161 |
61.76 |
609 |
49.11 |
0.60 |
0.52-0.68 |
Insured amount (NT$/month) |
|
|
|
|
|
|
<20,000 (reference) |
3491 |
68.21 |
815 |
65.73 |
1.00 |
|
20,000-39,999 |
964 |
18.84 |
245 |
19.76 |
0.92 |
0.77-1.11 |
40,000-59,999 |
459 |
8.97 |
121 |
9.76 |
1.01 |
0.78-1.30 |
> = 60,000 |
204 |
3.99 |
59 |
4.76 |
1.21 |
0.87-1.70 |
Urban Level |
|
|
|
|
|
|
1 (reference) |
1456 |
29.19 |
348 |
28.74 |
1.00 |
|
2 |
1461 |
29.29 |
358 |
29.56 |
0.91 |
0.75-1.10 |
3 |
708 |
14.19 |
187 |
15.44 |
0.91 |
0.71-1.15 |
4 |
817 |
16.38 |
201 |
16.6 |
0.85 |
0.66-1.08 |
> = 5 |
546 |
10.95 |
117 |
9.67 |
0.80 |
0.58-1.08 |
Residential Area |
|
|
|
|
|
|
Northern (reference) |
667 |
13.03 |
149 |
12.02 |
1.00 |
|
Taipei |
1923 |
37.57 |
383 |
30.89 |
0.75 |
0.58-0.96 |
Central |
709 |
13.85 |
306 |
24.68 |
1.99 |
1.56-2.54 |
Southern |
931 |
18.19 |
215 |
17.34 |
1.12 |
0.86-1.44 |
Eastern |
89 |
1.74 |
28 |
2.26 |
1.40 |
0.83-2.36 |
Kao-Ping |
783 |
15.3 |
153 |
12.34 |
0.91 |
0.69-1.18 |
Insured unit |
|
|
|
|
|
|
Government, school employees (reference) |
530 |
10.93 |
158 |
13.4 |
1.00 |
|
Private enterprise employees |
1390 |
28.68 |
361 |
30.62 |
0.92 |
0.73-1.15 |
Member of occupational |
960 |
19.81 |
271 |
22.99 |
0.99 |
0.77-1.27 |
Farmers, fishermen |
1215 |
25.07 |
246 |
20.87 |
0.71 |
0.54-0.94 |
Low-income households Veterans, other regional | 752 | 15.51 | 143 | 12.13 | 0.80 | 0.60-1.07 |
TCM: traditional Chinese Medicine; OR: odds ratio; CI: confidence interval.
a: Adjusted ORs were from the model considering age, gender, insured amount, residential area, and insured unit.