Evidence map›Paper›PMID 37467026›Full record

ArticleJournal of medical Internet research2023

Accelerometer-Measured Physical Activity Data Sets (Global Physical Activity Data Set Catalogue) That Include Markers of Cardiometabolic Health: Systematic Scoping Review.

Jonah J C Thomas, Amanda J Daley, Dale W Esliger, Victoria E Kettle, April Coombe, Emmanuel Stamatakis, James P Sanders

Abstract readScoping Review
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jonah J C ThomasSchool of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-9886-0169
Amanda J DaleySchool of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-4866-8726
Dale W EsligerSchool of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-1236-6419
Victoria E KettleSchool of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-6676-3444
April CoombePublic Health, Epidemiology and Biostatistics, Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0001-8279-3726
Emmanuel StamatakisCharles Perkin Centre, Faculty of Medicine and Health Science, University of Sydney, Sydney, Australia.ORCID 0000-0001-7323-3225
James P SandersSchool of Sport, Exercise and Health Science, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0003-2103-0631

Funding

Department of Health
6 · The paper itself

Abstract

backgroundCardiovascular disease accounts for 17.9 million deaths globally each year. Many research study data sets have been collected to answer questions regarding the relationship between cardiometabolic health and accelerometer-measured physical activity. This scoping review aimed to map the available data sets that have collected accelerometer-measured physical activity and cardiometabolic health markers. These data were then used to inform the development of a publicly available resource, the Global Physical Activity Data set (GPAD) catalogue.

objectiveThis review aimed to systematically identify data sets that have measured physical activity using accelerometers and cardiometabolic health markers using either an observational or interventional study design.

methodsDatabases, trial registries, and gray literature (inception until February 2021; updated search from February 2021 to September 2022) were systematically searched to identify studies that analyzed data sets of physical activity and cardiometabolic health outcomes. To be eligible for inclusion, data sets must have measured physical activity using an accelerometric device in adults aged ≥18 years; a sample size >400 participants (unless recruited participants in a low- and middle-income country where a sample size threshold was reduced to 100); used an observational, longitudinal, or trial-based study design; and collected at least 1 cardiometabolic health marker (unless only body mass was measured). Two reviewers screened the search results to identify eligible studies, and from these, the unique names of each data set were recorded, and characteristics about each data set were extracted from several sources.

resultsA total of 17,391 study reports were identified, and after screening, 319 were eligible, with 122 unique data sets in these study reports meeting the review inclusion criteria. Data sets were found in 49 countries across 5 continents, with the most developed in Europe (n=53) and the least in Africa and Oceania (n=4 and n=3, respectively). The most common accelerometric brand and device wear location was Actigraph and the waist, respectively. Height and body mass were the most frequently measured cardiometabolic health markers in the data sets (119/122, 97.5% data sets), followed by blood pressure (82/122, 67.2% data sets). The number of participants in the included data sets ranged from 103,712 to 120. Once the review processes had been completed, the GPAD catalogue was developed to house all the identified data sets.

conclusionsThis review identified and mapped the contents of data sets from around the world that have collected potentially harmonizable accelerometer-measured physical activity and cardiometabolic health markers. The GPAD catalogue is a web-based open-source resource developed from the results of this review, which aims to facilitate the harmonization of data sets to produce evidence that will reduce the burden of disease from physical inactivity.

Indexed as

Cardiovascular DiseasesExerciseAccelerometryAdolescentAdultBlood PressureEuropeHumansObservational Studies as Topicbig datadata harmonizationdevice measuredopen sciencesedentary behavior

Identifiers

PMID37467026
PMCPMC10398367

What OpenQuestion holds

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LicenceCC BY
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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.