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Activity Number:
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45
- Recent Development in Mobile/Wearable Device Data Analysis
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Type:
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Invited
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Date/Time:
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Sunday, August 7, 2022 : 4:00 PM to 5:50 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract #319312
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Title:
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A Novel Functional Data Analysis Approach to Modeling Longitudinal Changes in Physical Activity Patterns
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Author(s):
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Jingjing Zou* and Tuo Lin and Chongzhi Di and John Bellettiere and Marta Jankowska and Sheri J. Hartman and Dorothy D. Sears and Andrea LaCroix and Cheryl Rock and Loki Natarajan
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Companies:
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University of California at San Diego (UCSD) and University of California San Diego and Fred Hutchinson Cancer Research Center and UCSD and Beckman Research Institute, City of Hope and University of California, San Diego and Arizona State University and University of California, San Diego and UCSD and University of California, San Diego and University of California at San Diego (UCSD)
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Keywords:
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Activity trackers;
accelerometer;
functional data analysis;
Riemann manifold;
longitudinal analysis;
functional principal component analysis
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Abstract:
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The wide usage of wearable accelerometer-based activity trackers in recent years has provided a unique opportunity for in-depth research on physical activity (PA) and its relationship with health outcomes and interventions. Past analysis of activity tracker data relies heavily on aggregating minute-level PA records into day-level summary statistics, in which important information of diurnal PA patterns is lost. We propose a novel functional data analysis approach based on theory of Riemann manifolds for modeling PA records and longitudinal changes in PA temporal patterns. We model smoothed minute-level PA of a day as one-dimensional Riemann manifolds and longitudinal changes in PA in different visits as deformations between manifolds. With the proposed approach, we conduct comprehensive analyses on data from two clinical trials, RfH and MENU at UCSD, focusing on the effect of interventions on longitudinal changes in PA patterns and how different patterns of changes in PA influence weight loss, respectively. For both studies, important modes of variation in PA were identified to be significantly associated with lifestyle interventions/health outcomes.
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Authors who are presenting talks have a * after their name.
