Table 2 The influencing factors of the two-week prevalence rate according to the univariate and multivariate analysis of individuals from Tibet in 2018
From: Illness prevalence rate in Tibet, China: data from the 2018 National Health Service Survey
Influence factor | Â | Crude OR | 95% CI | Adjusted OR | 95% CI | &p value |
|---|---|---|---|---|---|---|
Gender | Female | 1.000 | Â | 1.000 | Â | Â |
Male | 0.627 | (0.569,0.692) | 0.691 | (0.622,0.767) | < 0.001 | |
Age | 15–29 | 1.000 |  | 1.000 |  |  |
30–44 | 1.912 | (1.595,2.290) | 1.464 | (1.201,1.784) | < 0.001 | |
45–59 | 3.944 | (3.318,4.689) | 2.804 | (2.304,3.413) | < 0.001 | |
60- | 5.000 | (4.158,6.013) | 2.968 | (2.367,3.722) | < 0.001 | |
Residence | Urban | 1.000 | Â | 1.000 | Â | Â |
Rural | 0.574 | (0.514,0.640) | 0.610 | (0.541,0.689) | < 0.001 | |
Education | Illiterate | 1.000 | Â | 1.000 | Â | Â |
Primary school | 0.772 | (0.694,0.859) | 0.921 | (0.822,1.032) | 0.155 | |
Junior middle school | 0.481 | (0.401,0.576) | 0.876 | (0.717,1.072) | 0.199 | |
High school | 0.573 | (0.454,0.724) | 0.974 | (0.741,1.279) | 0.849 | |
University and above | 0.251 | (0.132,0.480) | 0.568 | (0.288,1.120) | 0.102 | |
Economic level | Low | 1.000 | Â | 1.000 | Â | Â |
Medium | 1.148 | (1.017,1.296) | 1.134 | (1.000,1.287) | 0.051 | |
High | 1.240 | (1.081,1.423) | 1.106 | (0.953,1.283) | 0.185 | |
Marital status | Married | 1.000 | Â | 1.000 | Â | Â |
Unmarried | 0.407 | (0.340,0.486) | 0.684 | (0.562,0.832) | < 0.001 | |
Widow | 2.182 | (1.856,2.565) | 1.279 | (1.070,1.529) | 0.007 | |
Divorce | 1.781 | (1.324,2.478) | 1.644 | (1.187,2.277) | 0.003 | |
Others | 1.134 | (0.648,1.984) | 1.023 | (0.575,1.819) | 0.940 | |
Employment status | Employed | 1.000 | Â | 1.000 | Â | Â |
Retired | 2.696 | (2.022,3.593) | 1.295 | (0.945,1.776) | 0.108 | |
Laid-off | 3.251 | (2.380,4.440) | 2.360 | (1.695,3.287) | < 0.001 | |
Unemployed | 1.868 | (1.655,2.110) | 1.238 | (1.075,1.424) | 0.003 | |
Student | 0.131 | (0.065,0.266) | 0.334 | (0.159,0.701) | 0.004 |