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Symposium

Behavioral and Social Sciences

Novel Methods and Data in Population Aging Research

Wednesday, November 13, 2024
2:00 PM – 3:30 PM PST
Location: Room 618
CE: 1.5

Causal inference in population health research on aging is critical for understanding determinants of healthy aging and informing potential avenues of intervention. Such research faces a number of methodological challenges including data availability, detection bias, selection bias, confounding, and reverse causation. Novel statistical methods and approaches to leveraging data have been developed to address these issues. This session features cutting-edge research that incorporates novel methods and data to address key methodological challenges in aging research. Speakers will address (1) the use of hypothetical intervention approaches to address confounding and reverse causation to understand the impact of loneliness on memory function in older adults, (2) a multiple-exposure data reduction approach to identify important determinants of exercise in an aging population, (3) ways to uncover and account for detection bias in electronic health record studies of dementia, (4) pooling of cohorts to address gaps in data availability across the lifecourse, and (5) challenges and opportunities related to extending findings from selected aging samples to broader populations of interest.

Epidemiology of Aging Interest Group Sponsored Symposium

Learning Objectives:

  • After attending this session, participants will be able to describe important methodological challenges in population aging research.
  • After attending this session, participants will be able to identify novel study designs, data sources, and statistical tools to overcome key challenges in causal inference in population aging research.

Presentations:

  • 2:00 PM – 3:30 PM PST
    Hypothetical Interventions on Loneliness and Memory Function Among US Middle-Aged and Older Adults

    Individual Symposium Abstract First Author: Ryo Ikesu, MD (he/him/his) – University of California Los Angeles

  • 2:00 PM – 3:30 PM PST
    Exploring Novel Determinants of Exercise Behavior: A Lagged Exposure-Wide Approach

    Individual Symposium Abstract First Author: Harold H. Lee, PhD (he/him/his) – Penn State

  • 2:00 PM – 3:30 PM PST
    Reassessing Positive Results: Detection Bias in Epidemiologic Dementia Studies of Electronic Health Record Data

    Individual Symposium Abstract First Author: Jingxuan Wang, MPhil (he/him/his) – University of California San Francisco

  • 2:00 PM – 3:30 PM PST
    Pooling Cohorts Across the Life Course to Identify Novel Early-Life Determinants of Health Outcomes in Later-Life

    Individual Symposium Abstract First Author: Katrina Kezios, PhD, MPH (she/her/hers) – Columbia University

  • 2:00 PM – 3:30 PM PST
    Extending Findings From Aging Cohorts to Broader Populations of Interest: Considering Transportability

    Individual Symposium Abstract First Author: Eleanor Hayes-Larson, PhD, MPH (she/her/hers) – USC Leonard Davis School of Gerontology