Physical activity cut-points for older adults using the Zio XT onboard accelerometer
Introduction The Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual’s physical activity in the free-living environment. Purpose (1) To estimate activity cut-points to estimate daily time spent performing very light, light,...
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12.06.2024
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| Abstract | Introduction
The Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual’s physical activity in the free-living environment.
Purpose
(1) To estimate activity cut-points to estimate daily time spent performing very light, light, or moderate to vigorous physical activity (VLIPA, LIPA, MVPA) for the Zio accelerometer. (2) To describe how Zio’s 24-h wear protocol affects estimates of daily MVPA relative to a waist-worn accelerometer’s waking-wear protocol.
Methods
Three hundred eighty one participants from the Atherosclerosis Risk in Communities (ARIC) study wore a waist-mounted ActiGraph GT3X (except while sleeping or water-based activities) and a Zio (24-h) simultaneously for three to seven days. For each person-minute, physical activity was summarized as the Mean Amplitude Deviation (MAD) for the Zio and Vector Magnitude Counts (VMC) for the GT3X. Cut points previously used in ARIC were mapped from GT3X VMC to Zio MAD using a conditional two-sample quantile–quantile approach.
Results
Evenson VMC cut-points for the GT3X (VLIPA≥76, LIPA≥903, MVPA≥2075 counts/min) were mapped to MAD for Zio (9.04, 28.2, and 58.1 mili-g). Daily hours spent in each intensity category were each strongly correlated (ICC > 0.7) between summaries produced by Zio and GT3X when restricting estimates to overlapping wear time. Zio and GT3X-estimated MVPA had high agreement (ICC = 0.77) when using device-specific wear time, but Zio measured one hour more of daily LIPA and VLIPA (95% CI = 0.83, 1.07 hrs/day).
Conclusions
We recommend the use of our cut-points for clinical research with Zio accelerometry in populations of older adults. |
|---|---|
| AbstractList | The Zio
XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual's physical activity in the free-living environment.
(1) To estimate activity cut-points to estimate daily time spent performing very light, light, or moderate to vigorous physical activity (VLIPA, LIPA, MVPA) for the Zio accelerometer. (2) To describe how Zio's 24-h wear protocol affects estimates of daily MVPA relative to a waist-worn accelerometer's waking-wear protocol.
Three hundred eighty one participants from the Atherosclerosis Risk in Communities (ARIC) study wore a waist-mounted ActiGraph GT3X (except while sleeping or water-based activities) and a Zio (24-h) simultaneously for three to seven days. For each person-minute, physical activity was summarized as the Mean Amplitude Deviation (MAD) for the Zio and Vector Magnitude Counts (VMC) for the GT3X. Cut points previously used in ARIC were mapped from GT3X VMC to Zio MAD using a conditional two-sample quantile-quantile approach.
Evenson VMC cut-points for the GT3X (VLIPA≥76, LIPA≥903, MVPA≥2075 counts/min) were mapped to MAD for Zio (9.04, 28.2, and 58.1 mili-g). Daily hours spent in each intensity category were each strongly correlated (ICC > 0.7) between summaries produced by Zio and GT3X when restricting estimates to overlapping wear time. Zio and GT3X-estimated MVPA had high agreement (ICC = 0.77) when using device-specific wear time, but Zio measured one hour more of daily LIPA and VLIPA (95% CI = 0.83, 1.07 hrs/day).
We recommend the use of our cut-points for clinical research with Zio accelerometry in populations of older adults. The Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual's physical activity in the free-living environment.IntroductionThe Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual's physical activity in the free-living environment.(1) To estimate activity cut-points to estimate daily time spent performing very light, light, or moderate to vigorous physical activity (VLIPA, LIPA, MVPA) for the Zio accelerometer. (2) To describe how Zio's 24-h wear protocol affects estimates of daily MVPA relative to a waist-worn accelerometer's waking-wear protocol.Purpose(1) To estimate activity cut-points to estimate daily time spent performing very light, light, or moderate to vigorous physical activity (VLIPA, LIPA, MVPA) for the Zio accelerometer. (2) To describe how Zio's 24-h wear protocol affects estimates of daily MVPA relative to a waist-worn accelerometer's waking-wear protocol.Three hundred eighty one participants from the Atherosclerosis Risk in Communities (ARIC) study wore a waist-mounted ActiGraph GT3X (except while sleeping or water-based activities) and a Zio (24-h) simultaneously for three to seven days. For each person-minute, physical activity was summarized as the Mean Amplitude Deviation (MAD) for the Zio and Vector Magnitude Counts (VMC) for the GT3X. Cut points previously used in ARIC were mapped from GT3X VMC to Zio MAD using a conditional two-sample quantile-quantile approach.MethodsThree hundred eighty one participants from the Atherosclerosis Risk in Communities (ARIC) study wore a waist-mounted ActiGraph GT3X (except while sleeping or water-based activities) and a Zio (24-h) simultaneously for three to seven days. For each person-minute, physical activity was summarized as the Mean Amplitude Deviation (MAD) for the Zio and Vector Magnitude Counts (VMC) for the GT3X. Cut points previously used in ARIC were mapped from GT3X VMC to Zio MAD using a conditional two-sample quantile-quantile approach.Evenson VMC cut-points for the GT3X (VLIPA≥76, LIPA≥903, MVPA≥2075 counts/min) were mapped to MAD for Zio (9.04, 28.2, and 58.1 mili-g). Daily hours spent in each intensity category were each strongly correlated (ICC > 0.7) between summaries produced by Zio and GT3X when restricting estimates to overlapping wear time. Zio and GT3X-estimated MVPA had high agreement (ICC = 0.77) when using device-specific wear time, but Zio measured one hour more of daily LIPA and VLIPA (95% CI = 0.83, 1.07 hrs/day).ResultsEvenson VMC cut-points for the GT3X (VLIPA≥76, LIPA≥903, MVPA≥2075 counts/min) were mapped to MAD for Zio (9.04, 28.2, and 58.1 mili-g). Daily hours spent in each intensity category were each strongly correlated (ICC > 0.7) between summaries produced by Zio and GT3X when restricting estimates to overlapping wear time. Zio and GT3X-estimated MVPA had high agreement (ICC = 0.77) when using device-specific wear time, but Zio measured one hour more of daily LIPA and VLIPA (95% CI = 0.83, 1.07 hrs/day).We recommend the use of our cut-points for clinical research with Zio accelerometry in populations of older adults.ConclusionsWe recommend the use of our cut-points for clinical research with Zio accelerometry in populations of older adults. Introduction The Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual’s physical activity in the free-living environment. Purpose (1) To estimate activity cut-points to estimate daily time spent performing very light, light, or moderate to vigorous physical activity (VLIPA, LIPA, MVPA) for the Zio accelerometer. (2) To describe how Zio’s 24-h wear protocol affects estimates of daily MVPA relative to a waist-worn accelerometer’s waking-wear protocol. Methods Three hundred eighty one participants from the Atherosclerosis Risk in Communities (ARIC) study wore a waist-mounted ActiGraph GT3X (except while sleeping or water-based activities) and a Zio (24-h) simultaneously for three to seven days. For each person-minute, physical activity was summarized as the Mean Amplitude Deviation (MAD) for the Zio and Vector Magnitude Counts (VMC) for the GT3X. Cut points previously used in ARIC were mapped from GT3X VMC to Zio MAD using a conditional two-sample quantile–quantile approach. Results Evenson VMC cut-points for the GT3X (VLIPA≥76, LIPA≥903, MVPA≥2075 counts/min) were mapped to MAD for Zio (9.04, 28.2, and 58.1 mili-g). Daily hours spent in each intensity category were each strongly correlated (ICC > 0.7) between summaries produced by Zio and GT3X when restricting estimates to overlapping wear time. Zio and GT3X-estimated MVPA had high agreement (ICC = 0.77) when using device-specific wear time, but Zio measured one hour more of daily LIPA and VLIPA (95% CI = 0.83, 1.07 hrs/day). Conclusions We recommend the use of our cut-points for clinical research with Zio accelerometry in populations of older adults. Abstract Introduction The Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual’s physical activity in the free-living environment. Purpose (1) To estimate activity cut-points to estimate daily time spent performing very light, light, or moderate to vigorous physical activity (VLIPA, LIPA, MVPA) for the Zio accelerometer. (2) To describe how Zio’s 24-h wear protocol affects estimates of daily MVPA relative to a waist-worn accelerometer’s waking-wear protocol. Methods Three hundred eighty one participants from the Atherosclerosis Risk in Communities (ARIC) study wore a waist-mounted ActiGraph GT3X (except while sleeping or water-based activities) and a Zio (24-h) simultaneously for three to seven days. For each person-minute, physical activity was summarized as the Mean Amplitude Deviation (MAD) for the Zio and Vector Magnitude Counts (VMC) for the GT3X. Cut points previously used in ARIC were mapped from GT3X VMC to Zio MAD using a conditional two-sample quantile–quantile approach. Results Evenson VMC cut-points for the GT3X (VLIPA≥76, LIPA≥903, MVPA≥2075 counts/min) were mapped to MAD for Zio (9.04, 28.2, and 58.1 mili-g). Daily hours spent in each intensity category were each strongly correlated (ICC > 0.7) between summaries produced by Zio and GT3X when restricting estimates to overlapping wear time. Zio and GT3X-estimated MVPA had high agreement (ICC = 0.77) when using device-specific wear time, but Zio measured one hour more of daily LIPA and VLIPA (95% CI = 0.83, 1.07 hrs/day). Conclusions We recommend the use of our cut-points for clinical research with Zio accelerometry in populations of older adults. |
| ArticleNumber | 30 |
| Author | Chen, Lin Yee Wanigatunga, Amal A. Dooley, Erin E. Crainiceanu, Ciprian M. Schrack, Jennifer A. Gabriel, Kelley P. Etzkorn, Lacey H. Davoudi, Anis |
| AuthorAffiliation | 4 Lillehei Heart Institute and Cardiovascular Division, University of Minnesota Medical School, Minneapolis, MN, USA 5 Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA 1 Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA 2 Johns Hopkins Center On Aging and Health, Baltimore, MD, USA 3 Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA |
| AuthorAffiliation_xml | – name: 2 Johns Hopkins Center On Aging and Health, Baltimore, MD, USA – name: 3 Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA – name: 4 Lillehei Heart Institute and Cardiovascular Division, University of Minnesota Medical School, Minneapolis, MN, USA – name: 1 Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA – name: 5 Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA |
| Author_xml | – sequence: 1 givenname: Lacey H. surname: Etzkorn fullname: Etzkorn, Lacey H. email: letzkor1@jh.edu organization: Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Johns Hopkins Center On Aging and Health – sequence: 2 givenname: Anis surname: Davoudi fullname: Davoudi, Anis organization: Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University – sequence: 3 givenname: Erin E. surname: Dooley fullname: Dooley, Erin E. organization: Department of Epidemiology, The University of Alabama at Birmingham – sequence: 4 givenname: Kelley P. surname: Gabriel fullname: Gabriel, Kelley P. organization: Department of Epidemiology, The University of Alabama at Birmingham – sequence: 5 givenname: Lin Yee surname: Chen fullname: Chen, Lin Yee organization: Lillehei Heart Institute and Cardiovascular Division, University of Minnesota Medical School – sequence: 6 givenname: Ciprian M. surname: Crainiceanu fullname: Crainiceanu, Ciprian M. organization: Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University – sequence: 7 givenname: Jennifer A. surname: Schrack fullname: Schrack, Jennifer A. organization: Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Johns Hopkins Center On Aging and Health – sequence: 8 givenname: Amal A. surname: Wanigatunga fullname: Wanigatunga, Amal A. organization: Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Johns Hopkins Center On Aging and Health |
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| Cites_doi | 10.1123/jpah.9.s1.s11 10.1017/CBO9780511802843 10.1016/j.pmedr.2022.101859 10.1201/9781003205685 10.1016/j.jacc.2021.04.035 10.1007/s12561-023-09377-7 10.1097/QAD.0000000000003274 10.1016/j.pmedr.2015.08.021 10.1186/s12877-016-0380-5 10.1001/jamanetworkopen.2019.12352 10.1093/gerona/glz193 10.3390/s21103326 10.1249/mss.0b013e31815a51b3 10.2196/38077 10.1093/gerona/glt199 10.1111/cpf.12127 10.1249/MSS.0b013e3181ed61a3 10.1093/gerona/glaa250 10.3390/s24030761 10.1161/CIRCEP.119.007390 10.1038/s41598-022-16003-x 10.1371/journal.pone.0252615 |
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| Keywords | Wearable activity monitors Actigraphy Electrocardiogram |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Authors’ contributions Conception of Work: AAW, JAS, AD, LHE. Design of the Work: AAW, JAS, CMC, AD, LHE. Acquisition, processing of data: AD, EED, KPG, LYC, LHE. Analysis and Interpretation of Data: LHE, AD, CMC, LHE. Creation of new software used in the work: LHE. Drafted the manuscript and figures: LHE. Substantially Revised Work: All Authors. |
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| Snippet | Introduction
The Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual’s physical... The Zio XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual's physical activity in the... The Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual's physical activity in the... Abstract Introduction The Zio® XT continuous ambulatory electrocardiographic monitor (Zio) contains an accelerometer that can help quantify an individual’s... |
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| SubjectTerms | Actigraphy Electrocardiogram Health Informatics Medicine Medicine & Public Health Wearable activity monitors |
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| Title | Physical activity cut-points for older adults using the Zio XT onboard accelerometer |
| URI | https://link.springer.com/article/10.1186/s44247-024-00087-8 https://www.ncbi.nlm.nih.gov/pubmed/40746418 https://www.proquest.com/docview/3235388073 https://pubmed.ncbi.nlm.nih.gov/PMC12312660 https://doaj.org/article/31c38e9e08404e84811dcd71c2f90fdf |
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