Purpose: To investigate the tracking in physical fitness (PF) viewed as a w
hole, a multidimensional trait of the subject, and to establish the stabili
ty of each factor of PF in adolescence from the perspective of a panel stud
y using the structural equation modeling approach. Methods: From a sample o
f 454 boys followed from 12 to 18 yr of age of the Leuven Growth Study, we
considered only three consecutive measurement occasions with a mean age of
12.76, 14.69. and 17.73 yr. Physical fitness was evaluated by means of a ba
ttery composed of the following tests: plate tapping, sit and reach, vertic
al jump, arm pull, leg lifts, bent arm hang, and shuttle run. Structural eq
uation models were fitted to the data, namely autoregressive models with la
tent variables. These models were used to quantify the tracking of PF as a
whole and also of the individual marker variables of fitness. Results: Stab
ility estimates of PF as a whole are rather high, beta (21) = 0.86 and beta
(32) = 0.68, with an explained variance of 74% and 73%, respectively. Trac
king coefficients represented by disattenuated autocorrelations among the f
itness factor gave high results: r(1,2) = 0.861 r(1,3) = 0.78: and r(2,3) =
0.85. Conclusions: Physical fitness as a whole is highly stable in adolesc
ent years and very predictable from early years. The same is observed for e
ach factor of fitness. Moreover, autoregressive models within the context o
f structural equation modeling are better suited than simple Pearson or Spe
arman autocorrelations to study the tracking problem of PF.