Estimating Characteristics of Energy Expenditure using Measurement Error Models

• Activity Number: 255
• Type: Contributed
• Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
• Sponsor: Section on Survey Research Methods
• Author(s): Nicholas Koenen Beyler*+ and Sarah Nusser and Wayne A. Fuller and Alicia Carriquiry and Gregory Welk
• Companies: Iowa State University and Iowa State University and Iowa State University and Iowa State University and Iowa State University
• Keywords: Physical activity ; Energy expenditure ; Measurement error model ; PAMS

Abstract

One important aspect of physical activity research is the assessment of usual (i.e., long-term average) daily energy expenditure. Daily measurements of energy expenditure taken from a sample of individuals are prone to measurement errors and nuisance effects, which can lead to biased estimates of usual daily energy expenditure parameters. Fortunately, statistical models can be used to account and adjust for these errors in order to give more accurate estimates. In this paper we develop a method for estimating usual daily energy expenditure parameters from data collected using a self-report instrument and an objective monitoring device. Our method is an extension of existing methods that utilize measurement error models. We illustrate our method with preliminary data from the Physical Activity Measurement Survey (PAMS) collected using an armband monitor and a physical activity recall.