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. 2019 Nov 6;12(4):317–324. doi: 10.1093/inthealth/ihz085

Table 3.

Linear regression models that explain BCI adjusted by age (rate×100 000) in the studied geodemographic units: Colombia, 2007–2011

Variable Model
Aa p-Value Ba p-Value Ca p-Value
Monetary poverty (%), 2011 250.7 0.48 NA NA NA NA
HDI, 2010 −171 378 0.32 NA NA NA NA
Illiteracy rate in women (%), 2011 −3141.7 0.01 −2867.7 <0.0001 −2808.3 <0.0001
Maximum schooling in women 15–49 y of age, 2011 8070.6 0.23 NA NA NA NA
Maternal mortality rate×100 000, 2010 −149.1 0.12 NA NA NA NA
Total breastfeeding duration (m), 2010 −2344.3 0.01 −2563 <0.0001 −3354.1 <0.0001
Adherence to a FDP, 2010b 2505.4 0.91 NA NA −10 149 0.51
Adherence to a TSP, 2010b NA NA NA NA −30 466.5 0.03
Adherence to a SP, 2010b NA NA NA NA −43 612.3 0.02
R2 0.81 0.76 0.84
R2 (adjusted) 0.73 0.73 0.79
Intercept 166 610 101 325 160 237
n 24 24 24

Dependent variable: breast cancer incidence adjusted by age (rate×100 000).

NA: does not apply.

R2: coefficient of determination (%).

a

Coefficient β.

b

Based on factor analysis with z-scores centered.