研究文章
寄生虫流行地区哮喘的危险因素在巴伊亚,巴西
表3
单变量和多变量分析哮喘和寄生虫感染之间的联系。
|
|
Nonasthmatic
() |
哮喘
() |
单变量分析 |
多变量分析 |
|
33% |
45% |
或(95%置信区间) |
|
或(95%置信区间) |
|
|
| 钩虫 |
|
|
|
|
|
|
| 负 |
|
19 (9.1%) |
1.00 |
|
1.00 |
|
| 积极的 |
90例(79.6%) |
23 (20.4%) |
2.54 (1.32 - -4.91) |
0.005 |
1.41 (0.54 - -3.72) |
0.486 |
| 答:蛔虫 |
|
|
|
|
|
|
| 负 |
187例(89.0%) |
23 (11.0%) |
1.00 |
|
1.00 |
|
| 积极的 |
92例(82.9%) |
19 (17.1%) |
1.68 (0.87 - -3.24) |
0.122 |
0.26 (0.07 - -0.94) |
0.041 |
| 强度(epg) |
|
|
|
|
|
|
| 0 |
193例(89.4%) |
23 (10.6%) |
1.00 |
|
1.00 |
|
| 1 - 4999 |
60 (88.2%) |
8 (11.8%) |
1.12 (0.48 - -2.63) |
0.797 |
0.27 (0.07 - -1.12) |
0.071 |
| 5000 - 49999 |
23 (67.6%) |
11 (32.4%) |
4.01 (1.74 - -9.28) |
0.001 |
0.29 (0.05 - -1.83) |
0.187 |
| ≥50000 |
3 (100%) |
0 |
- - - - - - |
- - - - - - |
- - - - - - |
- - - - - - |
| t . trichiura |
|
|
|
|
|
|
| 负 |
173例(90.6%) |
18 (9.4%) |
1.00 |
|
1.00 |
|
| 积极的 |
106例(81.5%) |
24 (18.5%) |
2.18 (1.13 - -4.20) |
0.020 |
0.95 (0.36 - -2.54) |
0.918 |
| 强度(epg) |
|
|
|
|
|
|
| 0 |
175例(90.7%) |
18 (9.3%) |
1.00 |
|
1.00 |
|
| 1 - 999 |
96例(80.7%) |
23 (19.3%) |
2.33 (1.20 - -4.53) |
0.013 |
1.02 (0.38 - -2.74) |
0.968 |
| 1000 - 9999 |
7 (87.5%) |
1 (12.5%) |
1.39 (1.61 - -11.9) |
0.765 |
0.30 (0.01 - -8.03) |
0.474 |
| ≥10000 |
1 (100%) |
0 |
- - - - - - |
- - - - - - |
- - - - - - |
- - - - - - |
| 美国曼 |
|
|
|
|
|
|
| 负 |
113例(93.4%) |
8 (6.6%) |
1.00 |
|
1.00 |
|
| 积极的 |
166例(83.0%) |
34 (17.0%) |
2.89 (1.29 - -6.48) |
0.010 |
1.44 (0.48 - -4.29) |
0.517 |
| 强度(epg) |
|
|
|
|
|
|
| 0 |
114例(93.4%) |
8 (6.6%) |
1.00 |
|
1.00 |
|
| 1 - 99 |
104例(86.7%) |
16 (13.3%) |
2.19 (0.90 - -5.33) |
0.084 |
1.48 (0.45 - -4.84) |
0.520 |
| 100 - 399 |
34 (73.9%) |
12 (26.1%) |
5.03 (1.90 - -13.3) |
0.001 |
3.21 (0.76 - -13.63) |
0.114 |
| ≥400 |
27 (81.8%) |
6 (18.2%) |
3.17 (1.01 - -9.89) |
0.047 |
0.69 (0.10 - -4.82) |
0.706 |
| 任何寄生虫 |
|
|
|
|
|
|
| 负 |
49 (94.2%) |
3 (5.8%) |
1.00 |
|
1.00 |
|
| 积极的 |
230例(85.5%) |
39 (14.5%) |
2.77 (0.82 - -9.33) |
0.100 |
0.94 (0.19 - -4.56) |
0.935 |
|
|
注意:多变量分析调整年龄、性别、数量的粪便样本分析,和吸烟状况。
|
