  Let \xi_t, t\in[0,T], be a strong Markov process with values in a complete
separable metric space (X,\rho) and with transition probability function
  P_{s,t}(x,dy), 0\le s\le t\le T, x\in X. For any h\in[0,T] and a>0, consider
the function \alpha(h,a)=sup\bigl{P_{s,t}\bigl(x,{y:\rho(x,y)\ge a}\bigr):x\in
X,0\le s\le t\le (s+h)\wedge T\bigr}. It is shown that a certain growth
condition on \alpha(h,a), as a\downarrow0 and h stays fixed, implies the almost
sure boundedness of the p-variation of \xi_t, where p depends on the rate of
growth.
