Aging trajectories of fluid intelligence in late life: The influence of age, practice and childhood IQ on Ravenʹs Progressive Matrices

AbstractBackground ing the trajectory of cognitive abilities in late life is difficult because of the long time required for significant change to occur and the confounding influences of baseline ability, cohort, dropout and practice. e m is to describe cognitive trajectories in late life by estimating the influence of age and practice and by accounting for the potential confounding attributable to ‘Flynn’ and ‘Mathew’ effects. s mine repeated measures of fluid intelligence (IQ) in 751 volunteersʹ ages 62 through 83 years sampled from the Aberdeen birth cohorts of 1921 and 1936 for whom archived childhood IQ data provided a rare insight into early life ability. Aging trajectories in fluid intelligence were estimated using Ravenʹs Standardized Progressive Matrices (RPM). Data were analyzed using linear mixed models. s imate that on average RPM decreases annually by over one-half point (age effect). There is also an initial increase of about two points from the first to second test occasion that the test is taken and this may be attributed to practice. Comparisons between birth cohorts suggest that the ‘Flynn’ effect influences our data and that its size was significantly larger in late life. We found no evidence of the ‘Mathew’ effect in late life. sions ive trajectory of fluid ability in late life is a mixture of practice and decline. The influence of practice appears to be greatest after the first repeat testing. Modeling late life decline in this way will enable intervention studies to be performed in normal and prodromal dementia populations more efficiently.