Moving, Thinking, and Sleeping: Novel Insights into Physical and Cognitive Health from Accelerometry Data

Saturday, November 5, 2022

12:00 PM – 1:30 PM ET

Location: 243 CC

CE: 1.5

Chair(s)

Jennifer Schrack, PhD, FGSA

Associate Professor
Epidemiology
Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, United States

Slides

Discussant(s)

Amal Wanigatunga, PhD, MPH

Assistant Professor
Epidemiology
Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, United States

Individual Symposium Abstract First Author(s)

Jennifer Schrack, PhD, FGSA

Associate Professor
Epidemiology
Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, United States

Slides
Amal Wanigatunga, PhD, MPH

Assistant Professor
Epidemiology
Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, United States
Francesca Marino, BS

PhD Student
Epidemiology
Johns Hopkins Bloomberg School of Public Health
Washington, District of Columbia, United States
Fangyu Liu, MHS

PhD Candidate
Epidemiology
Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, United States

Physical activity and sleep are well-established predictors of health and longevity with aging. Wrist accelerometers, that produce high-frequency time series data, capture multiple aspects of daily physical activity and sleep 24-hours/day. Historically, the majority of accelerometry-based activity research has employed summary metrics to understand the associations of total daily physical activity and sleep with physical and cognitive health. Although these measures are important for understanding conformity with physical activity and sleep recommendations, they underutilize the potential of these data. Further, the summary metrics may differ by accelerometer type/brand, making it difficult to translate results across device types and studies. This symposium will examine the associations between accelerometry-derived physical activity and various aging-related health outcomes, and compare the measurement properties of two commonly used accelerometers for measuring sleep. Ms. Marino will discuss the association of physical activity volume and fragmentation with the presence of the Apolipoprotein-4 genotype in the Baltimore Longitudinal Study of Aging (BLSA), overall and by time of day. Dr. Wanigatunga will present evidence on the association of physical activity patterns with beta amyloid plaques in the BLSA. Dr. Schrack will present the association of physical activity fragmentation and diurnal patterns with peripheral artery disease in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Finally, Ms. Liu will compare measurement of sleep variables derived from two commonly used accelerometers. Collectively, these presentations highlight ways to utilize the richness of accelerometry data to illuminate more sensitive associations between movement and health outcomes to advance prevention science and promote health aging.

Learning Objectives:

After attending this session, participants will be able to describe how patterns of daily physical activity provide novel insights into physical and cognitive health.
After attending this session, participants will be able to discuss how the Actigraph and Actiwatch accelerometers compare in terms of sleep measurement.
After attending this session, participants will be able to describe how examining patterns of daily physical activity may illuminate associations between movement and health not seen with traditional measures.

Presentations:

12:00 PM – 1:30 PM ET

Ankle Brachial Index (ABI) and Accelerometer Patterns of Daily Physical Activity in HCHS/SOL
Individual Symposium Abstract First Author: Jennifer A. Schrack, PhD, FGSA – Johns Hopkins Bloomberg School of Public Health
12:00 PM – 1:30 PM ET

Objectively Measured Physical Activity Patterns Over 24-Hours by APOE-ε4 Carrier Status
Individual Symposium Abstract First Author: Amal A. Wanigatunga, PhD, MPH – Johns Hopkins Bloomberg School of Public Health
12:00 PM – 1:30 PM ET

Differences in Physical Activity Amount and Fragmentation Over 24 Hours by B-Amyloid Status and Age
Individual Symposium Abstract First Author: Francesca Marino, BS – Johns Hopkins Bloomberg School of Public Health
12:00 PM – 1:30 PM ET

Comparison of Sleep Parameters From Wrist-Worn Accelerometers in Older Adults
Individual Symposium Abstract First Author: Fangyu Liu, MHS – Johns Hopkins Bloomberg School of Public Health