Evidence map›Paper›PMID 32085652›Full record

ArticleSensors (Basel, Switzerland)2020

Stronger Association between High Intensity Physical Activity and Cardiometabolic Health with Improved Assessment of the Full Intensity Range Using Accelerometry.

Jonatan Fridolfsson, Mats Börjesson, Elin Ekblom-Bak, Örjan Ekblom, Daniel Arvidsson

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06379802 (Lifestyle Intervention With Physical Activity and Diet for Precision Health in Individuals With Overweight), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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.

NCT06379802 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Lifestyle Intervention With Physical Activity and Diet for Precision Health in Individuals With Overweight: a 6-month Pilot Randomized Controlled Trial (LI-PAD)

TypeinterventionalSponsorVastra Gotaland RegionRan2024 to 2027Enrolled120ConditionsOverweightArmsIndividualized physical activity and diet
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Jonatan FridolfssonCenter for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
Mats BörjessonCenter for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
Elin Ekblom-BakÅstrand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, SE-114 86 Stockholm, Sweden.
Örjan EkblomÅstrand Laboratory of Work Physiology, The Swedish School of Sport and Health Sciences, SE-114 86 Stockholm, Sweden.
Daniel ArvidssonCenter for Health and Performance, Department of Food and Nutrition, and Sport Science, University of Gothenburg, SE-405 30 Gothenburg, Sweden.
Swedish School of Sport and Health Sciences · SEUniversity of Gothenburg · SESahlgrenska University Hospital · SE

Funding

Hjärt-Lungfonden 20180379
6 · The paper itself

Abstract

An improved method of physical activity accelerometer data processing, involving a wider frequency filter than the most commonly used ActiGraph filter, has been shown to better capture variations in physical activity intensity in a lab setting. The aim of the study was to investigate how this improved measure of physical activity affected the relationship with markers of cardiometabolic health. Accelerometer data and markers of cardiometabolic health from 725 adults from two samples, LIV 2013 and SCAPIS pilot, were analyzed. The accelerometer data was processed using both the original ActiGraph method with a low-pass cut-off at 1.6 Hz and the improved method with a low-pass cut-off at 10 Hz. The relationship between the physical activity intensity spectrum and a cardiometabolic health composite score was investigated using partial least squares regression. The strongest association between physical activity and cardiometabolic health was shifted towards higher intensities with the 10 Hz output compared to the ActiGraph method. In addition, the total explained variance was higher with the improved method. The 10 Hz output enables correctly measuring and interpreting high intensity physical activity and shows that physical activity at this intensity is stronger related to cardiometabolic health compared to the most commonly used ActiGraph method.

Indexed as

AccelerometryCardiovascular DiseasesExerciseFemaleHumansMaleMiddle AgedActiGraphcardiovascular diseasefrequency filteringLIVmultivariate analysispartial least squares regressionSCAPISvigorous physical activity

Identifiers

PMID32085652
PMCPMC7070246
OpenAlexW3007343386

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.