Evidence map›Paper›PMID 39774392›Full record

ArticlePloS one2024

Validity of the Actigraph-GT9X accelerometer for measuring steps and energy expenditures in heart failure patients.

Jisu Kim, Jonathan Kenyon, Hayley Billingsley, Natalie Bohmke, Syed Imran Ahmed, Hannah Salmons, Jung-Min Lee, Danielle Kirkman, Salvatore Carbone, Youngdeok Kim

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Jisu KimDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0009-0001-7316-6031
Jonathan KenyonDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0000-0002-2901-9659
Hayley BillingsleyDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.
Natalie BohmkeDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.
Syed Imran AhmedDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.
Hannah SalmonsDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.
Jung-Min LeeGraduate School of Physical Education, Kyung Hee University (Global Campus), Yongin-si, Gyeonggi-do, Republic of Korea.ORCID 0000-0002-8033-0725
Danielle KirkmanDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.
Salvatore CarboneDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0000-0002-8163-0527
Youngdeok KimDepartment of Kinesiology and Health Science, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0000-0002-6134-0100

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe ActiGraph (AG) accelerometer is widely used to assess physical activity (PA) in heart failure (HF) patients. However, the validity of the AG in this population remains unexplored.

objectiveTherefore, this study examined the criterion validity of the AG-GT9X for measuring step counts (SC) and energy expenditure (EE) among HF patients.

methods16 patients with HF with preserved ejection fraction (mean age = 60.3±12.1yrs) completed a total of 41 symptom-limited cardiopulmonary exercise tests on a treadmill across multiple time points (median (IQR) = 2.5 (1.5-3.5)). All participants wore the AG (model: GT9X) on both the right ankle and waist locations during the test. Manually counted steps and indirect calorimetry-derived EE served as criterion measures. AG-derived EE was estimated using six different prediction equations previously developed for waist-worn AG. AG-derived measurements were compared with criterion measurements by calculating correlation coefficients, equivalence tests with two one-sided tests, mean absolute percentage error (MAPE), percentage bias, and Bland-Altman plots using mixed models to account for the nested nature of repeated measures within subjects.

resultsAnkle-worn AG-SC was significantly equivalent to the criterion (p < .05) and had lower MAPE (<10%) compared to the waist location, regardless of PA intensity level. Sasaki-EE was significantly equivalent to the criterion (p < .05), with the lowest percentage bias overall (0.7%).

conclusionsThe ankle-worn AG-SC and Sasaki-EE showed better accuracy among HF patients in laboratory settings. Further research is warranted to cross-validate the results in different settings.

Indexed as

Energy MetabolismHeart FailureAccelerometryActigraphyAgedCalorimetry, IndirectExerciseExercise TestFemaleHumansMaleMiddle AgedReproducibility of Results

Identifiers

PMID39774392
PMCPMC11684600

What Socratic 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 Socratic graph.