Evidence map›Paper›PMID 40746418›Full record

ArticleBMC digital health2024

Physical activity cut-points for older adults using the Zio XT onboard accelerometer.

Lacey H Etzkorn, Anis Davoudi, Erin E Dooley, Kelley P Gabriel, Lin Yee Chen, Ciprian M Crainiceanu, Jennifer A Schrack, Amal A Wanigatunga

Abstract read
In one paragraph

Article in BMC digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lacey H EtzkornDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Anis DavoudiDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Erin E DooleyDepartment of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Kelley P GabrielDepartment of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Lin Yee ChenLillehei Heart Institute and Cardiovascular Division, University of Minnesota Medical School, Minneapolis, MN, USA.
Ciprian M CrainiceanuDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Jennifer A SchrackDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Amal A WanigatungaDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.

Funding

THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Statistical Methods for Multilevel Multivariate Functional StudiesR01NS060910 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ciprian M Crainiceanu · 2009 to 2026
$8.3M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
Novel application of Digital signals of movement, sleep and heart rhythms for detection of Alzheimer's Disease and Related DementiasR01AG075883 · NIA · JOHNS HOPKINS UNIVERSITY · PI Lin Yee Chen, Ciprian M Crainiceanu · 2022 to 2026
$3.8M
Significance of Atrial Fibrillation and Atrial Fibrillation Burden Detected by Novel ECG Monitoring in Community-Dwelling ElderlyR01HL126637 · NHLBI · UNIVERSITY OF MINNESOTA · PI CHEN, LIN YEE · 2016 to 2020
$3.7M
The START trial: a proof-of-concept sedentary reduction program for prefrail older adultsK01AG076967 · NIA · JOHNS HOPKINS UNIVERSITY · PI Amal Asiri Wanigatunga · 2022 to 2026
$651k
The Associations of Mid- and Late-Life Physical Activity on Falls in a Large Prospective Study of Older AdultsR56AG049886 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI GABRIEL, KELLEY PETTEE, POMPEII, LISA A · 2015 to 2015
$542k
NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS R01 HL126637NIA NIH HHS K01 AG076967NIA NIH HHS R01 AG075883NIA NIH HHS R56 AG049886NIA NIH HHS T32 AG000247NINDS NIH HHS R01 NS060910
6 · The paper itself

Abstract

Introduction: The Zio 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.

Indexed as

ActigraphyElectrocardiogramWearable activity monitors

Identifiers

PMID40746418
PMCPMC12312660

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.