Skip to main content
GSA 2023 Main banner
Icon Legend
This session is not in your schedule.
This session is in your schedule. Click again to remove it.
Back
Symposium

Health Sciences

Synthesis and Application of Quantitative Methods for Modeling Change in Multimorbidity and Related Health Domains

Thursday, November 9, 2023
4:30 PM – 6:00 PM ET
Location: Room 125

The longitudinal examination of multimorbidity (≥ 2 chronic conditions) and related health outcomes (e.g., cognition, disability, mortality) has the potential to identify disparities and intervention points in the age-related progression of chronic disease. This symposium will organize discussion of methodological and applied research projects that review and demonstrate the use of longitudinal methods to address critical questions in the study of multimorbidity and related health domains. The lead presentation "Longitudinal Methods for Assessing Progression of Multimorbidity and Related Health Outcomes" will review the use and limitations of several longitudinal methods that can be used to study the progression of multimorbidity and linked health outcomes. Following presentations will demonstrate the application of specific longitudinal methods to key research questions in the study of multimorbidity. "Emerging Cohort Disparities in Multimorbidity in U.S. Adults Entering Early Older Adulthood" presents evidence of cohort disparities in multimorbidity trajectories using mixed-effects regression to estimate age, period, and cohort effects, "Personalized and Typical Concurrent Risk: Joint Models of Recurrent Outcomes and Mortality by Race/Ethnicity" applies joint models of self-rated health, disability, and mortality to examine disparities among minoritized groups, and "Sequence Analysis of Cardiometabolic Multimorbidity and Association With Subsequent Dementia" identifies common patterning of cardiometabolic conditions over a 5-year period and their relationship with prospective dementia classification. This symposium will encourage attendees to apply the presented methods to their own multimorbidity research questions and demonstrate how these methods are being applied to address key gaps in our understating of multimorbidity progression in older adulthood.

This is a Measurement, Statistics, and Research Design Interest Group Sponsored Symposium.

Learning Objectives:

  • After attending this symposium, participants will be aware of the major longitudinal quantitative methods that are applicable to the study of multimorbidity and related health conditions.
  • After attending this symposium, participants will have learned how to choose methods that are appropriate for specific research questions in the longitudinal study of multimorbidity.
  • After attending this symposium, participants will have increased their understanding of the dynamic longitudinal associations between multimorbidity and key health domains/outcomes including cognition, disablement, and mortality.

Presentations:

  • 4:30 PM – 6:00 PM ET
    Longitudinal Methods for Assessing Progression of Multimorbidity and Related Health Outcomes

    Individual Symposium Abstract First Author: Nicholas J. Bishop, PhD (he/him/his) – University of Arizona

  • 4:30 PM – 6:00 PM ET
    Sequence Analysis of Cardiometabolic Multimorbidity and Association With Subsequent Dementia

    Individual Symposium Abstract First Author: Corey Nagel, PhD, MPH, RN – University of Arkansas for Medical Sciences

  • 4:30 PM – 6:00 PM ET
    Personalized and Typical Concurrent Risk: Joint Models of Recurrent Outcomes and Mortality by Race/Ethnicity

    Individual Symposium Abstract First Author: Heather Allore, PhD, FGSA (she/her/hers) – Yale University

  • 4:30 PM – 6:00 PM ET
    Emerging Cohort Disparities in Multimorbidity in US Adults Entering Early Older Adulthood

    Individual Symposium Abstract First Author: Nicholas J. Bishop, PhD (he/him/his) – University of Arizona