Table 2 Association of viariables with skeletal fluorosis was evaluated by bivaiate logistic regression model.
Variables | Tibetans | Kazaks | ||||
|---|---|---|---|---|---|---|
Cases (n%) | Controls (n%) | P | Cases (n%) | Controls (n%) | P | |
n = 123 | n = 185 | n = 98 | n = 192 | |||
Fluoride intake (mg) | 7.051(4.371, 10.968) | 5.305(3.727, 8.617) | 0.019 | 5.201(3.501, 9.073) | 6.51(3.849, 11.784) | 0.106 |
Urine Fluoride (mg/L) | 2.636(1.801, 4.138) | 2.172(1.406, 3.512) | 0.013 | 3.093(1.844, 4.495) | 3.215(2.084, 4.585) | 0.528 |
Age (years) | 59 ± 12 | 49 ± 12 | <0.001 | 55 ± 10 | 52 ± 12 | 0.043 |
Gender | ||||||
female | 59(48%) | 114(61.6%) | 0.018 | 54(55.1%) | 127(66.1%) | 0.066 |
male | 64(52%) | 71(38.4%) | 44(44.9%) | 65(33.9%) | ||
Occupation | ||||||
herdsman | 101(82.1%) | 152(82.2%) | 0.687 | 1(1.0%) | 1(0.5%) | 0.909 |
farmer | 0(0%) | 2(1.1%) | 92(93.9%) | 179(93.2%) | ||
other | 22(17.9%) | 31(16.8%) | 5(5.1%) | 12(6.3%) | ||
Disposable income per capita (RMB) | ||||||
income ≤ 1000 | 56(45.6%) | 92(49.73%) | 0.827 | 4(4.1%) | 9(4.7%) | 0.723 |
1000 < income ≤ 2000 | 39(31.7%) | 50(27.03%) | 32(32.6%) | 68(35.4%) | ||
2000 < income ≤ 3000 | 9(7.3%) | 15(8.11%) | 28(28.6%) | 43(22.4%) | ||
income > 3000 | 19(15.4%) | 28(15.14%) | 34(34.7%) | 72(37.5%) | ||
Ca supplement | ||||||
with | 2(1.6%) | 1(0.5%) | 0.566 | 6(6.1%) | 26(13.5%) | 0.056 |
without | 121(98.4%) | 184(99.5%) | 92(93.9%) | 166(86.5%) | ||
Altitude (metre) | 3985(3929, 3985) | 3929(3929, 3985) | 0.01 | 571(552, 571) | 571(552, 571) | 0.705 |
MMP-2rs243865 | ||||||
CC | 88(71.5%) | 136(73.5%) | 0.53 | 59(60.2%) | 107(55.7%) | 0.766 |
CT | 32(26%) | 41(22.2%) | 34(34.7%) | 74(38.5%) | ||
TT | 3(2.4%) | 8(4.3%) | 5(5.1%) | 11(5.7%) | ||
MMP-2rs2287074 | ||||||
GG | 66(53.7%) | 77(41.6%) | 0.013 | 39(39.8%) | 61(31.8%) | 0.154 |
AG | 53(43.1%) | 88(47.6%) | 47(48.0%) | 92(47.9%) | ||
AA | 4(3.3%) | 20(10.8%) | 12(12.2%) | 39(20.3%) | ||
