Table 4.
Results of multilevel logistic regression analyses using the 12 components of the urbanization index among Chinese participants (2009)
| Male participants | Female participants | |||||
|---|---|---|---|---|---|---|
| Urbanization componentsa | OR | 95% CI | p-value | OR | 95% CI | p-value |
| Population Density | 1.13 | 0.88, 1.46 | 0.330 | 1.07 | 0.87, 1.32 | 0.498 |
| Economic Component | 0.90 | 0.64, 1.27 | 0.551 | 0.99 | 0.75, 1.31 | 0.960 |
| Traditional Market | 1.21 | 0.93, 1.58 | 0.161 | 1.27 | 1.01, 1.58 | 0.036 |
| Modern Market | 1.08 | 0.80, 1.47 | 0.606 | 1.23 | 0.95, 1.59 | 0.117 |
| Transportation | 0.90 | 0.71, 1.15 | 0.398 | 1.09 | 0.90, 1.32 | 0.391 |
| Sanitation | 0.90 | 0.61, 1.32 | 0.576 | 0.83 | 0.60, 1.15 | 0.272 |
| Communications | 0.85 | 0.63, 1.13 | 0.262 | 0.75 | 0.59, 0.95 | 0.017 |
| Housing | 1.51 | 1.01, 2.28 | 0.047 | 1.39 | 1.01, 1.93 | 0.046 |
| Education | 1.05 | 0.77, 1.42 | 0.762 | 1.17 | 0.90, 1.52 | 0.252 |
| Diversity | 0.84 | 0.64, 1.10 | 0.203 | 0.81 | 0.64, 1.01 | 0.064 |
| Health | 0.87 | 0.69, 1.11 | 0.261 | 0.80 | 0.66, 0.98 | 0.031 |
| Social Service | 1.16 | 0.92, 1.48 | 0.217 | 1.04 | 0.85, 1.28 | 0.689 |
Models were adjusted for age (in years), educational attainment (primary education or less, junior high school, high school and attained further education), household income, health-related behavior and cardiometabolic risk factors
aResults are expressed per one-SD increase