Evidence map›Paper›PMID 34081715›Full record

ArticlePloS one2021

Generation and validation of ActiGraph GT3X+ accelerometer cut-points for assessing physical activity intensity in older adults. The OUTDOOR ACTIVE validation study.

Karin Bammann, Nicola K Thomson, Birte Marie Albrecht, Duncan S Buchan, Chris Easton

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06057428 (Activity Levels Amongst Elderly Patients With Symptomatic Lumbar Spinal Stenosis Before and After Decompressive Surgery), which is not on this map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–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.

NCT06057428 recruitingnot on this mapstarted 2023, after this paper: background citation

Activity Levels Amongst Elderly Patients With Symptomatic Lumbar Spinal Stenosis Before and After Decompressive Surgery

TypeobservationalSponsorRegion ZealandRan2023 to 2028Enrolled80ConditionsLumbar Spinal StenosisArmsDecompressive surgery
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Comparing national device-based physical activity surveillance systems: a systematic review.The international journal of behavioral nutrition and physical activity · 2024
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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.

Karin BammannWorking group Epidemiology of Demographic Change, Institute for Public Health and Nursing Sciences (IPP), University of Bremen, Bremen, Germany.ORCID 0000-0002-5623-8160
Nicola K ThomsonInstitute for Clinical Exercise and Health Sciences, University of the West of Scotland, Lanarkshire, United Kingdom.
Birte Marie AlbrechtWorking group Epidemiology of Demographic Change, Institute for Public Health and Nursing Sciences (IPP), University of Bremen, Bremen, Germany.
Duncan S BuchanInstitute for Clinical Exercise and Health Sciences, University of the West of Scotland, Lanarkshire, United Kingdom.
Chris EastonInstitute for Clinical Exercise and Health Sciences, University of the West of Scotland, Lanarkshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of physical activity in older adults is becoming more and more relevant. For evaluation of physical activity recommendations, intensity-specific accelerometer cut-points are utilized. However, research on accelerometer cut-points for older adults is still scarce. The aim of the study was to generate placement-specific cut-points of ActiGraph GT3X+ activity counts and raw measures of acceleration to determine physical activity intensity in older adults. A further aim was to compare the validity of the generated cut-points for a range of different physical activities. The study was a single experimental trial using a convenience sample. Study participants were 20 adults aged 59 to 73 years. Accelerometers were worn at six different placements (one on each wrist, one on each ankle, and two at the hip) and breath-by-breath indirect calorimetry was used as the reference for energy. The experiment comprised of two parts; a) The first required participants to walk on a treadmill at incremental speeds (3.0-5.0 km·h-1), and b) Five different everyday activities (reading, cleaning, shopping, cycling, aerobics) were staged in the laboratory setting. Accelerometer cut-points (activity counts, raw data) were derived for each of the investigated placements by linear regression using the treadmill part. Performance of the cut-points was assessed by applying the cut-points to the everyday activities. We provide cut-points for six placements and two accelerometer metrics in the specific age group. However, the derived cut-points did not outperform published ones. More research and innovative approaches are needed for improving internal and external validity of research results across populations and age groups.

Indexed as

ExerciseAccelerometryAgedAnkleCalorimetry, IndirectFemaleHipHumansLinear ModelsMaleMiddle AgedWalkingWrist

Identifiers

PMID34081715
PMCPMC8174693

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.