A sensitivity analysis on the variability in accelerometer data processing for monitoring physical activity
A sensitivity analysis on the variability in accelerometer data processing for monitoring physical activity
Background: Accelerometers are gaining popularity for measuring physical activity, but there are many different ways to process accelerometer data. A sensitivity analysis was conducted to study the effect of varying accelerometer data processing protocols on estimating the association between PA level and socio-demographic characteristics using the National Health and Nutrition Examination Survey (NHANES) accelerometer data.
Methods: The NHANES waves 2003-2004 and 2005-2006 accelerometer data (. n=. 14,072) were used to investigate the effect of changing the accelerometer non-wearing time and valid day definitions on the demographic composition of the filtered datasets and the association between physical activity (PA) and socio-demographic characteristics (sex, age, race, educational level, marital status).
Results: Under different filtering rules (minimum number of valid day and definition of non-wear time), the demographic characteristics of the final sample varied. The proportion of participants aged 20-29 decreased from 18.9% to 15.8% when the minimum number of valid days required increased from 1 to 4 (. p for trend. <. 0.001), whereas that for aged ≥70 years increased from 18.9% to 20.6% (. p for trend. <. 0.001). Furthermore, with different filters, the effect of these demographic variables and PA varied, with some variables being significant under certain filtering rules but becoming insignificant under some other rules. Conclusions: The sensitivity analysis showed that the significance of the association between socio-demographic variables and PA could be varied with the definition of non-wearing time and minimum number of valid days.
Accelerometry, Data analysis, Lifestyles, Motor activity, NHANES
516-521
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
1 February 2015
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Lee, Paul H.
(2015)
A sensitivity analysis on the variability in accelerometer data processing for monitoring physical activity.
Gait and Posture, 41 (2), .
(doi:10.1016/j.gaitpost.2014.12.008).
Abstract
Background: Accelerometers are gaining popularity for measuring physical activity, but there are many different ways to process accelerometer data. A sensitivity analysis was conducted to study the effect of varying accelerometer data processing protocols on estimating the association between PA level and socio-demographic characteristics using the National Health and Nutrition Examination Survey (NHANES) accelerometer data.
Methods: The NHANES waves 2003-2004 and 2005-2006 accelerometer data (. n=. 14,072) were used to investigate the effect of changing the accelerometer non-wearing time and valid day definitions on the demographic composition of the filtered datasets and the association between physical activity (PA) and socio-demographic characteristics (sex, age, race, educational level, marital status).
Results: Under different filtering rules (minimum number of valid day and definition of non-wear time), the demographic characteristics of the final sample varied. The proportion of participants aged 20-29 decreased from 18.9% to 15.8% when the minimum number of valid days required increased from 1 to 4 (. p for trend. <. 0.001), whereas that for aged ≥70 years increased from 18.9% to 20.6% (. p for trend. <. 0.001). Furthermore, with different filters, the effect of these demographic variables and PA varied, with some variables being significant under certain filtering rules but becoming insignificant under some other rules. Conclusions: The sensitivity analysis showed that the significance of the association between socio-demographic variables and PA could be varied with the definition of non-wearing time and minimum number of valid days.
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Accepted/In Press date: 3 December 2014
Published date: 1 February 2015
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Publisher Copyright:
© 2014 Elsevier B.V.
Keywords:
Accelerometry, Data analysis, Lifestyles, Motor activity, NHANES
Identifiers
Local EPrints ID: 475202
URI: http://eprints.soton.ac.uk/id/eprint/475202
ISSN: 0966-6362
PURE UUID: 8c0b8744-7430-4ae9-8ff4-1d0153f68078
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Date deposited: 14 Mar 2023 17:32
Last modified: 17 Mar 2024 04:16
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Author:
Paul H. Lee
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