c for BMI < 22.5, continuous trend observed NA = not available.
Data are age and sex adjusted; Mean ± standard deviation; Linear regression model was used to test trend for continuous variables.
Trend over time was examined using Cuzick's test for trend for continuous variables and the chi-square trend test for categorical variables.
a p-trend calculated from Mantel-Haenszel χ2 for categorical variables and Cuzick's non-parametric test for trend for continuous variables.
When we modeled the continuous values, the P trend for increasing parity was significant only for ductal tumors; however, the effect of AFB was strongest for lobular tumors.
Differences between groups were calculated by AN(C OVA with P for trend for continuous variables and by χ test with P for linear by linear test for categorical variables.
For the statistical analysis, Fisher's exact test was applied to detect statistical difference between dichotomous variables, while the Kruskal-Wallis test was used to test for significant trend for continuous data.
We evaluated possible effect modifiers of the dose response (facility of monitoring, sex, attained age, age at first monitoring and time since first monitoring) using tests of heterogeneity, for categorical variables, and tests of linear trend, for continuous variables.
ART: antiretroviral therapy; WAZ: Weight-for-age z-score (only for children younger than 10 years); IQR: interquartile range a p-trend calculated from Mantel-Haenszel χ2 for categorical variables and Cuzick's non-parametric test for trend for continuous variable.
