# Fixed effects of independent variables highly correlated with the intercept. Is it an issue?

In a linear mixed model run with lmer() I got this output for the correlation between fixed effects. My independent variable is almost perfectly correlated (negatively) with the intercept. Is this a problem?.

I am not sure what this actually means and if I need to actually drop this variable from the model.

Correlation of Fixed Effects:
(Intr) Age  Status Tarsus Quality
Age       -0.061
Status2    0.115 -0.829
Tarsus    -0.991  0.041 -0.138
Quality   -0.049 -0.087  0.134 -0.033
GroupSize -0.067  0.024  0.145 -0.023  0.163