List comprehensions performance

[Neuruss]

I have a doubt regarding list comprehensions:
According to Mark Lutz in his book Learning Pyhon:

"...there is currently a substantial performance advantage to the
extra complexity in this case: based on tests run under Python 2.2,
map calls are roughly twice as fast as equivalent for loops, and list
comprehensions are usually very slightly faster than map. This speed
difference owes to the fact that map and list comprehensions run at C
language speed inside the interpreter, rather than stepping through
Python for loop code within the PVM."

but I also read in Python Performance Tips by Skip Montanaro that
Lists comprehensions are not generally faster than the for loop
version.

What I'd like to know is if using list comprehensions would give me a
performance advantage over traditional for loops or not.
I'm getting fond of list comprehensions, but I wonder if it's wise to
abuse of them...