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Table 5 Effect estimates for non-interacting variables resulting from the models with imputed data (n = 5098)

From: The role of socio-demographic factors in premature cervical cancer mortality in Colombia

 

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

(0.36–0.43)

0.52

(0.47–0.57)

 Urban

Ref.

 

Ref.

 

Region of residence

 Atlantic

1.20

(1.08–1.34)

1.10

(0.98–1.23)

 Central

1.25

(1.12–1.40)

1.24

(1.11–1.39)

 Pacific

1.34

(1.19–1.49)

1.28

(1.14–1.43)

 Amazon-Orinoquía

1.68

(1.41–2.01)

1.74

(1.45–2.09)

 Eastern

Ref.

 

Ref.

 
  1. IRR Incidence rate ratios, 95 % CI 95 % confidence intervals
  2. 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. Data sets including values from the multiple imputations for missing risk factor data were included in these analyses
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BMC Public Health

ISSN: 1471-2458

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