Table 4.
Effect estimates for non-interacting variables from of cervical cancer mortality models with complete data (n = 4247)
| Associations with cervical cancer mortality | ||||
|---|---|---|---|---|
| Model 1 Educational level |
Model 2 Type of health insurance |
|||
| IRR | (95 % CI) | IRR | (95 % CI) | |
| Urban or Rural residence | ||||
| Rural | 0.39 | (0.35–0.43) | 0.52 | (0.47–0.57) |
| Urban | Ref. | Ref. | ||
| Region of residence | ||||
| Atlantic | 1.13 | (1.00–1.28) | 1.04 | (0.92–1.18) |
| Central | 1.30 | (1.15–1.47) | 1.28 | (1.14–1.44) |
| Pacific | 1.39 | (1.23–1.57) | 1.34 | (1.18–1.51) |
| Amazon-Orinoquía | 1.61 | (1.32–1.97) | 1.64 | (1.34–2.01) |
| Eastern | Ref. | Ref. | ||
IRR Incidence rate ratios, 95 % CI 95 % confidence intervals
Model 1 assessed differences in cervical cancer mortality rates by educational level and Model 2 evaluated differences in mortality rates by type of health insurance. Both multivariable models included fixed effects for age group, urban or rural residence, and region of residence, as well as interactions with age. Only women with complete data for the risk factors of interest were included in these analyses