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Title: Determining the optimal number of wearing-days given a fixed number of accelerometers in population-level study
Authors: Lee, PH 
Issue Date: 2019
Source: Journal of epidemiology, Nov. 2019, v. 29, no. 11, p. 432-443
Abstract: Background: In research using accelerometers to measure physical activity, the number of accelerometers that can be utilized in a study and the study duration are both constrained. It means that increasing the number of accelerometer wearing days for all subjects leads to a decrease in the total number of participants the study can recruit. We used simulations to find the optimal combination of the number of wearing days and number of participant given a fixed number of accelerometer days.
Methods: Two scenarios were studied here, including estimation of population physical activity level and the association between physical activity level and a health outcome. Another similar simulation was conducted by bootstrapping the National Health and Nutrition Examination Survey (NHANES) 2003-2006 accelerometer data (n = 4,069).
Results: The simulation results of the first scenario showed that the error was minimized when the number of wearing days was 1 to 2. Simulation results of the second scenario showed that the optimal number of wearing days increased with the total number of accelerometer days and decreased with intra-class correlation (ICC).
Conclusion: We developed a tool for researchers to determine the optimal combination of the number of the accelerometer wearing days and the total number of participants and showed that 1 to 2 accelerometer wearing days is optimal for estimation of population physical activity level.
Keywords: Accelerometry
Epidemiology
Measurement
Optimization
Statistics
Publisher: Japan Epidemiological Association
Journal: Journal of epidemiology 
ISSN: 0917-5040
EISSN: 1349-9092
DOI: 10.2188/jea.JE20180095
Rights: Copyright © 2018 Paul H. Lee. This is an open access article distributed under the terms of Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permitsunrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The following publication Lee, P. H. (2019). Determining the optimal number of wearing-days given a fixed number of accelerometers in population-level study. Journal of Epidemiology, 29(11), 432-443 is available at https://dx.doi.org/10.2188/jea.JE20180095
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