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Table 2 Fit statistics for global cognitive function group trajectories in middle-aged and older adults from CHARLS

From: Associations between social and intellectual activities with cognitive trajectories in Chinese middle-aged and older adults: a nationally representative cohort study

Fit statistic Number of classes
1 2 3 4 5 6
BIC* − 35,903.71 − 32,658.89 − 32,120.03 − 32,098.63 − 32,099.94 − 32,116.00
AIC* − 35,886.18 − 32,623.83 − 32,074.44 − 32,039.02 − 32,029.82 − 32,031.85
Class proportion Class 1, 100% Class 1, 38.29% Class 1, 18.89% Class 1, 12.49% Class 1, 13.36% Class 1, 13.24%
  Class 2, 61.71% Class 2, 38.93% Class 2, 21.54% Class 2, 18.36% Class 2, 17.61%
   Class 3, 42.17% Class 3, 31.55% Class 3, 20.40% Class 3, 19.34%
    Class 4, 34.42% Class 4, 36.26% Class 4, 0.40%
     Class 5, 11.62% Class 5, 36.18%
      Class 6, 13.23%
APP   Class 1, 0.92 Class 1, 0.87 Class 1, 0.80 Class 1, 0.79 Class 1, 0.79
  Class 2, 0.94 Class 2, 0.80 Class 2, 0.67 Class 2, 0.56 Class 2, 0.56
   Class 3, 0.89 Class 3, 0.67 Class 3, 0.50 Class 3, 0.48
    Class 4, 0.84 Class 4, 0.79 Class 4, 0.58
     Class 5, 0.48 Class 5, 0.67
      Class 6, 0.47
  1. CHARLS China Health and Retirement Longitudinal Study, AIC Akaike’s information criterion, BIC Bayesian information criteria, APP average posterior probabilities
  2. *A lower absolute value suggests a better model fit
  3. No less than 5% of total count in a class
  4. A higher value is better (preferably > 0.7 in a class)