Evidence map›Paper›PMID 39669295›Full record

ArticleJournal for the measurement of physical behaviour2024

Brian C Helsel, Paul R Hibbing, Robert N Montgomery, Eric D Vidoni, Lauren T Ptomey, Jonathan Clutton, Richard A Washburn

Abstract read
In one paragraph

Article in Journal for the measurement of physical behaviour, 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. 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

7 authors.

Brian C HelselKU Alzheimer's Disease Research Center, The University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0003-3362-3581
Paul R HibbingDepartment of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA.ORCID 0000-0002-1469-5160
Robert N MontgomeryDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA.
Eric D VidoniKU Alzheimer's Disease Research Center, The University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0001-5181-7131
Lauren T PtomeyDivision of Physical Activity and Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0002-1705-1643
Jonathan CluttonKU Alzheimer's Disease Research Center, The University of Kansas Medical Center, Kansas City, KS, USA.
Richard A WashburnDivision of Physical Activity and Weight Management, Department of Internal Medicine, The University of Kansas Medical Center, Kansas City, KS, USA.

Funding

The Promotion of Physical Activity for the Prevention of Alzheimer's Disease in Adults with Down SyndromeR01AG063909 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI DONNELLY, JOSEPH E., PTOMEY, LAUREN TAYLOR · 2019 to 2023
$3.9M
Assessment of Physical Activity for Alzheimer's Disease Research in Down SyndromeK01AG083130 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Brian Helsel · 2023 to 2026
$501k
NIA NIH HHS K01 AG083130NIA NIH HHS R01 AG063909
6 · The paper itself

Abstract

Portable accelerometers are used to capture physical activity in free-living individuals with the ActiGraph being one of the most widely used device brands in physical activity and health research. Recently, in February 2022, ActiGraph published their activity count algorithm and released a Python package for generating activity counts from raw acceleration data for five generations of ActiGraph devices. The nonproprietary derivation of the ActiGraph count improved the transparency and interpretation of accelerometer device-measured physical activity, but the Python release of the count algorithm does not integrate with packages developed by the physical activity research community using the R Statistical Programming Language. In this technical note, we describe our efforts to create an R-based translation of ActiGraph's Python package with additional extensions to make data processing easier and faster for end users. We call the resulting R package

Indexed as

measurementopen-sourcephysical activitywearable devices

Identifiers

PMID39669295
PMCPMC11636644

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.