Evidence map›Paper›PMID 39190715›Full record

ArticlePloS one2024

Validation of activity trackers to estimate energy expenditure in older adults with cardiovascular risk factors.

Alina Rieckmann, Bas Jordan, Friederike Burczik, Jacqueline Meixner, Christian Thiel

Abstract readValidation Study
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Alina RieckmannDepartment of Applied Health Sciences, Division of Physiotherapy, Hochschule für Gesundheit, University of Applied Sciences, Bochum, Germany.ORCID 0000-0003-3145-741X
Bas JordanDepartment of Applied Health Sciences, Division of Physiotherapy, Hochschule für Gesundheit, University of Applied Sciences, Bochum, Germany.
Friederike BurczikDepartment of Applied Health Sciences, Division of Physiotherapy, Hochschule für Gesundheit, University of Applied Sciences, Bochum, Germany.
Jacqueline MeixnerDepartment of Applied Health Sciences, Division of Physiotherapy, Hochschule für Gesundheit, University of Applied Sciences, Bochum, Germany.
Christian ThielDepartment of Applied Health Sciences, Division of Physiotherapy, Hochschule für Gesundheit, University of Applied Sciences, Bochum, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare different types of activity trackers recording physical activity energy expenditure (PAEE) and examine their criterion validity against indirect calorimetry (IC) as the gold standard in adults over 60 years of age with a special focus on women with cardiovascular risk.

designSynchronous registrations of PAEE were performed with up to four different devices to determine criterion validity against IC while participants performed a protocol of simulated activities in a laboratory setting.

methodThirty-four participants (25 women, 9 men) with at least a light cardiac risk performed a protocol of simulated activities in a laboratory setting (daily living activities, cycle ergometer test). PAEE was simultaneously assessed by IC, two research-grade activity trackers (ActiGraph-wGT3X-BT and Actiheart-4) and two consumer-level activity trackers (OMRON pedometer and Fitbit Charge-3). Tracker-derived PAEE was compared with PAEE calculated from IC descriptively and by Bland-Altman plots.

resultsThe ActiGraph (0.7 ± 0.4 kcal/min), the Actiheart (1.1 ± 0.6 kcal/min) and the OMRON (0.8 ± 0.6 kcal/min) underestimated, while the Fitbit (3.4 ± 1.2 kcal/min) overestimated PAEE compared to IC-PAEE (2.0 ± 0.5 kcal/min). The Bland-Altman limits of agreement (LoA) against IC were +0.5/+2.2 kcal/min for the ActiGraph, -0.3/+2.1 kcal/min for the Actiheart, -3.7/+1.0 kcal/min for the Fitbit, and -0.5/+2.9 kcal/min for the OMRON. The magnitude of the deviation varied considerably depending on the activity (e.g. walking, cleaning, cycle ergometer test).

conclusionsThe research-grade activity trackers estimated PAEE with higher validity than the commercially available activity trackers. The partly very wide LoA have to be critically considered when assessing PAEE in the context of health service research, as individual Physical Activity behaviour may be under- or overestimated.

Indexed as

Calorimetry, IndirectEnergy MetabolismFitness TrackersAgedAged, 80 and overCardiovascular DiseasesExerciseFemaleHeart Disease Risk FactorsHumansMaleMiddle Aged

Identifiers

PMID39190715
PMCPMC11349177

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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.