Are Differences in Cognition or Depression in Elderly Age Groups Mitigated by Education and Health?

Session Number: 1463
Track: Quantitative Methods: Theory and Design
Session Type: Poster
Tags: quantitative methods, Statistics, Structural Equation Modeling
First Author or Discussion Group Leader: E. Lea Witta [Associate Professor - University of Central Florida]
Second Author or Discussion Group Leader: James A. Katt, Associate Professor [University of Central Florida]
Time: Oct 26, 2016 (07:00 PM - 09:00 PM)
Room: Poster 194

Other Authors: Christina Gillespie, Penn State,
Audience Level: Intermediate

Session Abstract: 

Previous studies have indicated that education and health influence cognition and emotional well-being (depression) in older adults. While we know that prior education has a significant influence on cognition (>80% explained) and Activities of Daily Living significantly influences Depression (approximately 30% explained), these studies have not evaluated the effects on separate age groups [ie., young-old (65-74), mid-old (75-84), old-old (>84)]. This evaluation examines these age groups using data from the Health and Retirement Survey housed at the University of Michigan. Using SmartPLS statistically significant differences were found in depression variance explained between young-old and mid-old and between young-old and old-old, but not in cognition. Other differences are explained.