Cancer diagnosis and related factors among rural-to-urban migrants, compared with local residents
| Adjusted OR for rural-to-urban migrants (95% CI) | |||
| Model 1 | Model 2 | Model 3 | |
| Past or current tobacco use | Physical exam during last year | Diagnosed with cancer | |
| Full sample | 2.014*** (1.585 to 2.558) | 0.565*** (0.476 to 0.671) | 0.414** (0.181 to 0.948) |
| N | 16 636 | 16 314 | 16 644 |
| By region | |||
| East | 2.735*** (1.796 to 4.166) | 0.589*** (0.426 to 0.815) | 0.279** (0.102 to 0.759) |
| N | 5369 | 5268 | 5371 |
| Central | 1.411** (1.026 to 1.942) | 0.644*** (0.511 to 0.812) | 0.859 (0.327 to 2.256) |
| N | 4691 | 4598 | 4694 |
| North and west | 1.588*** (1.196 to 2.108) | 0.494*** (0.401 to 0.609) | 0.547 (0.240 to 1.247) |
| N | 6576 | 6448 | 6579 |
| By gender | |||
| Male | 1.976*** (1.421 to 2.747) | 0.573*** (0.448 to 0.732) | 0.159*** (0.0503 to 0.505) |
| N | 7913 | 7791 | 7318 |
| Female | 2.142*** (1.591 to 2.885) | 0.564*** (0.440 to 0.722) | 0.830 (0.439 to 1.571) |
| N | 8723 | 8523 | 8727 |
| By occupation | |||
| Agricultural work | 1.435** (1.013 to 2.033) | 0.733** (0.540 to 0.996) | 0.835 (0.277 to 2.511) |
| N | 7630 | 7481 | 6865 |
| Non-agricultural work | 2.062*** (1.319 to 3.223) | 0.633*** (0.463 to 0.866) | 0.118*** (0.0286 to 0.490) |
| N | 4653 | 4597 | 3324 |
| By age | |||
| 45–55 years old | 2.271*** (1.481 to 3.482) | 0.612*** (0.469 to 0.799) | 0.177*** (0.0572 to 0.548) |
| N | 5769 | 5687 | 5528 |
| 55–65 years old | 1.518*** (1.141 to 2.018) | 0.499*** (0.373 to 0.669) | 0.599 (0.242 to 1.486) |
| N | 5782 | 5691 | 5259 |
| 65+ years old | 1.763*** (1.221 to 2.546) | 0.526*** (0.374 to 0.739) | 0.863 (0.374 to 1.992) |
| N | 5085 | 4936 | 4185 |
*P<0.1; **P<0.05; ***P<0.01. This table lists the adjusted OR for rural-to-urban migrants (95% CIs are in parentheses) from multiple logistic regression models where the sample is stratified by region, gender, occupation and age. Rows indicate the sample used in the model, and columns indicate the outcome tested in the model. N denotes the total number of people included in the model. Models included a constant term and indicators for province of residence, which are not shown in the table. SEs were clustered by household, and survey weights were used to account for the complex sampling scheme of CHARLS.
CHARLS, China Health and Retirement Longitudinal Study.