Cargando…

Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level

BACKGROUND: Accelerometer cutpoints based on absolute intensity may under or overestimate levels of physical activity due to the lack of consideration for an individual’s current fitness level. The purpose of this study was to illustrate the interindividual variability in accelerometer activity coun...

Descripción completa

Detalles Bibliográficos
Autores principales: Ozemek, Cemal, Cochran, Heather L, Strath, Scott J, Byun, Wonwoo, Kaminsky, Leonard A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617038/
https://www.ncbi.nlm.nih.gov/pubmed/23547769
http://dx.doi.org/10.1186/1471-2288-13-53
_version_ 1782265212265562112
author Ozemek, Cemal
Cochran, Heather L
Strath, Scott J
Byun, Wonwoo
Kaminsky, Leonard A
author_facet Ozemek, Cemal
Cochran, Heather L
Strath, Scott J
Byun, Wonwoo
Kaminsky, Leonard A
author_sort Ozemek, Cemal
collection PubMed
description BACKGROUND: Accelerometer cutpoints based on absolute intensity may under or overestimate levels of physical activity due to the lack of consideration for an individual’s current fitness level. The purpose of this study was to illustrate the interindividual variability in accelerometer activity counts measured at relative intensities (40 and 60% heart rate reserve (HRR)) and demonstrate the differences between relative activity counts between low, moderate and high fitness groups. METHODS: Seventy-three subjects (38 men, 35 women) with a wide range of cardiorespiratory fitness (maximal oxygen consumption (VO(2max)): 27.9 to 58.5 ml · kg(-1) · min(-1)), performed a submaximal exercise test with measures of heart rate (HR) and accelerometer activity counts. Linear regression equations were developed for each subject to determine accelerometer activity counts for moderate and vigorous intensity physical activity corresponding to 40% and 60% of HRR. Interindividual variability of activity counts between subjects at both 40% and 60% of HRR was demonstrated by plotting values using a box and whisker plot. To examine the difference between absolute and relative activity cutpoints, subjects were categorized into 3 fitness groups based on metabolic equivalents (MET) (<10 MET, 10–13 MET, >13 MET). RESULTS: At 40 and 60% of HRR, activity counts ranged from 1455–7520, and 3459–10066 counts · min(-1), respectively. Activity counts at 40% HRR (3385 ± 850, 4048 ± 1090, and 5037 ± 1019 counts · min(-1)) and 60% HRR (5159 ± 765, 5995 ± 1131 and 7367 ± 1374 counts · min(-1)) significantly increased across fitness groups (<10 MET, 10–13 MET, and >13 MET, respectively). CONCLUSION: This study revealed interindividual variability in activity counts at relative moderate (40% HRR) and vigorous (60% HRR) intensities, while fitness level was shown to have a significant influence on relative activity counts measured at these intensities. Individualizing activity count cutpoints may be more representative of an individual’s PA level relative to their fitness capacity, compared to absolute activity count cutpoints.
format Online
Article
Text
id pubmed-3617038
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-36170382013-04-05 Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level Ozemek, Cemal Cochran, Heather L Strath, Scott J Byun, Wonwoo Kaminsky, Leonard A BMC Med Res Methodol Research Article BACKGROUND: Accelerometer cutpoints based on absolute intensity may under or overestimate levels of physical activity due to the lack of consideration for an individual’s current fitness level. The purpose of this study was to illustrate the interindividual variability in accelerometer activity counts measured at relative intensities (40 and 60% heart rate reserve (HRR)) and demonstrate the differences between relative activity counts between low, moderate and high fitness groups. METHODS: Seventy-three subjects (38 men, 35 women) with a wide range of cardiorespiratory fitness (maximal oxygen consumption (VO(2max)): 27.9 to 58.5 ml · kg(-1) · min(-1)), performed a submaximal exercise test with measures of heart rate (HR) and accelerometer activity counts. Linear regression equations were developed for each subject to determine accelerometer activity counts for moderate and vigorous intensity physical activity corresponding to 40% and 60% of HRR. Interindividual variability of activity counts between subjects at both 40% and 60% of HRR was demonstrated by plotting values using a box and whisker plot. To examine the difference between absolute and relative activity cutpoints, subjects were categorized into 3 fitness groups based on metabolic equivalents (MET) (<10 MET, 10–13 MET, >13 MET). RESULTS: At 40 and 60% of HRR, activity counts ranged from 1455–7520, and 3459–10066 counts · min(-1), respectively. Activity counts at 40% HRR (3385 ± 850, 4048 ± 1090, and 5037 ± 1019 counts · min(-1)) and 60% HRR (5159 ± 765, 5995 ± 1131 and 7367 ± 1374 counts · min(-1)) significantly increased across fitness groups (<10 MET, 10–13 MET, and >13 MET, respectively). CONCLUSION: This study revealed interindividual variability in activity counts at relative moderate (40% HRR) and vigorous (60% HRR) intensities, while fitness level was shown to have a significant influence on relative activity counts measured at these intensities. Individualizing activity count cutpoints may be more representative of an individual’s PA level relative to their fitness capacity, compared to absolute activity count cutpoints. BioMed Central 2013-04-01 /pmc/articles/PMC3617038/ /pubmed/23547769 http://dx.doi.org/10.1186/1471-2288-13-53 Text en Copyright © 2013 Ozemek et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ozemek, Cemal
Cochran, Heather L
Strath, Scott J
Byun, Wonwoo
Kaminsky, Leonard A
Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level
title Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level
title_full Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level
title_fullStr Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level
title_full_unstemmed Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level
title_short Estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level
title_sort estimating relative intensity using individualized accelerometer cutpoints: the importance of fitness level
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617038/
https://www.ncbi.nlm.nih.gov/pubmed/23547769
http://dx.doi.org/10.1186/1471-2288-13-53
work_keys_str_mv AT ozemekcemal estimatingrelativeintensityusingindividualizedaccelerometercutpointstheimportanceoffitnesslevel
AT cochranheatherl estimatingrelativeintensityusingindividualizedaccelerometercutpointstheimportanceoffitnesslevel
AT strathscottj estimatingrelativeintensityusingindividualizedaccelerometercutpointstheimportanceoffitnesslevel
AT byunwonwoo estimatingrelativeintensityusingindividualizedaccelerometercutpointstheimportanceoffitnesslevel
AT kaminskyleonarda estimatingrelativeintensityusingindividualizedaccelerometercutpointstheimportanceoffitnesslevel