In a Study of the Analysis of Large Hierarchical Data

In a study of the Analysis of Large Hierarchical Data with Multilevel Logistic modelling using PROC Glimmix, Li et al determine the following results in their first approach to the analysis when considering factors associated with death from injury and exposure, gender, race or age Source: http:/ / www2.sas.com/ proceedings/ sugi31/ 151-31.pdf
In their second round of analysis, a range of data outputs were achieved including the following table
Source: http:/ / www2.sas.com/ proceedings/ sugi31/ 151-31.pdf
What do the data represent?

A) They tell whether predictors significantly predict the outcome, and in this example the predictor of exposure is not significant.
B) They tell whether predictors significantly predict the outcome, and in this example the predictor of gender is not significant.
C) They tell whether predictors significantly predict the outcome, and in this example the predictor of race is not significant.
D) They tell whether predictors significantly predict the outcome, and in this example the predictor of age is not significant.