Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.

BACKGROUND:Accelerometer-based activity monitors are widely used in research and surveillance applications for quantifying sedentary behavior (SB) and physical activity (PA). Considerable research has been done to refine methods for assessing PA, but relatively little attention has been given to ope...

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Main Authors: Youngdeok Kim, Gregory J Welk, Saori I Braun, Minsoo Kang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4319840?pdf=render
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spelling doaj-8578878d122c4306a1ae4eb7f940919d2020-11-25T01:56:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01102e011807810.1371/journal.pone.0118078Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.Youngdeok KimGregory J WelkSaori I BraunMinsoo KangBACKGROUND:Accelerometer-based activity monitors are widely used in research and surveillance applications for quantifying sedentary behavior (SB) and physical activity (PA). Considerable research has been done to refine methods for assessing PA, but relatively little attention has been given to operationalizing SB parameters (i.e., sedentary time and breaks) from accelerometer data - particularly in relation to health outcomes. This study investigated: (a) the accrued patterns of sedentary time and breaks; and (b) the associations of sedentary time and breaks in different bout durations with cardiovascular risk factors. METHODS:Accelerometer data on 5,917 adults from the National Health Examination and Nutrition Survey (NHANES) 2003-2006 were used. Sedentary time and breaks at different bout durations (i.e., 1, 2-4, 5-9, 10-14, 15-19, 20-24, 25-29, and ≥ 30-min) were obtained using a threshold of < 100 counts per minute. Sedentary time and breaks were regressed on cardiovascular risk factors (waist circumference, triglyceride, and high-density lipoprotein cholesterol) and body mass index across bout durations. RESULTS:The results revealed that the majority of sedentary time occurred within relatively short bout durations (≈ 70% and ≈ 85% for < 5-min and < 10-min, respectively). The associations of sedentary time and breaks with health outcomes varied depending on how bout time was defined. Estimates of SB parameters based on bout durations of 5 min or shorter were associated with reduced cardiovascular risk factors while durations longer than 10-min were generally associated with increased risk factors. CONCLUSIONS:The present study demonstrates that the duration of sedentary bouts should be further considered when operationalizing the SB parameters from accelerometer data. The threshold of 5 minutes to define a bout is defensible, but a 10 minute threshold would provide a more conservative estimate to clearly capture the prolonged nature of sedentary behavior. Additional research is needed to determine the relative sensitivity and specificity of these thresholds.http://europepmc.org/articles/PMC4319840?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Youngdeok Kim
Gregory J Welk
Saori I Braun
Minsoo Kang
spellingShingle Youngdeok Kim
Gregory J Welk
Saori I Braun
Minsoo Kang
Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.
PLoS ONE
author_facet Youngdeok Kim
Gregory J Welk
Saori I Braun
Minsoo Kang
author_sort Youngdeok Kim
title Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.
title_short Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.
title_full Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.
title_fullStr Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.
title_full_unstemmed Extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.
title_sort extracting objective estimates of sedentary behavior from accelerometer data: measurement considerations for surveillance and research applications.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description BACKGROUND:Accelerometer-based activity monitors are widely used in research and surveillance applications for quantifying sedentary behavior (SB) and physical activity (PA). Considerable research has been done to refine methods for assessing PA, but relatively little attention has been given to operationalizing SB parameters (i.e., sedentary time and breaks) from accelerometer data - particularly in relation to health outcomes. This study investigated: (a) the accrued patterns of sedentary time and breaks; and (b) the associations of sedentary time and breaks in different bout durations with cardiovascular risk factors. METHODS:Accelerometer data on 5,917 adults from the National Health Examination and Nutrition Survey (NHANES) 2003-2006 were used. Sedentary time and breaks at different bout durations (i.e., 1, 2-4, 5-9, 10-14, 15-19, 20-24, 25-29, and ≥ 30-min) were obtained using a threshold of < 100 counts per minute. Sedentary time and breaks were regressed on cardiovascular risk factors (waist circumference, triglyceride, and high-density lipoprotein cholesterol) and body mass index across bout durations. RESULTS:The results revealed that the majority of sedentary time occurred within relatively short bout durations (≈ 70% and ≈ 85% for < 5-min and < 10-min, respectively). The associations of sedentary time and breaks with health outcomes varied depending on how bout time was defined. Estimates of SB parameters based on bout durations of 5 min or shorter were associated with reduced cardiovascular risk factors while durations longer than 10-min were generally associated with increased risk factors. CONCLUSIONS:The present study demonstrates that the duration of sedentary bouts should be further considered when operationalizing the SB parameters from accelerometer data. The threshold of 5 minutes to define a bout is defensible, but a 10 minute threshold would provide a more conservative estimate to clearly capture the prolonged nature of sedentary behavior. Additional research is needed to determine the relative sensitivity and specificity of these thresholds.
url http://europepmc.org/articles/PMC4319840?pdf=render
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