Research Article

Gender Differences in the Association between Childhood Socioeconomic Status and Cognitive Function in Later Life

Table 3

Growth curve model estimates for cumulative SES and total memory score by gender.

FemaleMale-statistics
Estimate (SE)Estimate (SE) value

Fixed effects
 Intercept (at age 75)9.275 (0.126)7.659 (0.135)
 Cumulative SES0.424 (0.035)0.584 (0.040)
 Age−0.160 (0.005)−0.135 (0.006)
 Cumulative SES ∗ age−0.008 (0.005)−0.012 (0.006)
 Sociodemographic factors
  Non-Hispanic black−1.261 (0.101)−0.966 (0.128)
  Hispanic−1.125 (0.140)−0.997 (0.168)
  Divorced/separated0.028 (0.106)0.085 (0.137)
  Widowed−0.306 (0.057)−0.348 (0.078)
  Never married−0.369 (0.189)−0.374 (0.225)
 Health factors
  Childhood health (good/fair/poor)−0.140 (0.075)−0.206 (0.088)
  Self-rated health (fair/poor)−0.163 (0.050)−0.110 (0.056)
  Number of ADLs−0.030 (0.023)−0.101 (0.029)
  Number of IADLs−0.617 (0.027)−0.475 (0.036)
  Number of depressive symptoms−0.010 (0.012)−0.026 (0.015)
  Number of chronic health conditions−0.326 (0.020)−0.291 (0.022)
 Health behaviors
  Never smoker−0.391 (0.107)−0.015 (0.129)
  Former smoker−0.339 (0.102)−0.038 (0.108)
  Never drinker−0.348 (0.052)−0.361 (0.056)
  Heavy drinker−0.050 (0.092)0.078 (0.099)
  Engaging in physical activity0.576 (0.045)0.514 (0.047)

Random effects
 Between-person variation3.998 (0.117)3.751 (0.131)
 Covariance−0.009 (0.008)−0.015 (0.010)
 Linear change0.000 (0.000)0.000 (0.000)
 Within-person variation6.622 (0.067)5.512 (0.069)

Pseudo -square
 Level-1 (within-person).090.073
 Level-2 (between-person).179.210

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