Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/81658
| 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 |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lee_Determining_Optimal_Wearing-Days.pdf | 4.27 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
49
Last Week
1
1
Last month
Citations as of Sep 24, 2023
Downloads
53
Citations as of Sep 24, 2023
SCOPUSTM
Citations
3
Citations as of Sep 28, 2023
WEB OF SCIENCETM
Citations
3
Citations as of Sep 28, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.