Evidence map›Paper›PMID 34072347›Full record

ArticleSensors (Basel, Switzerland)2021

Evaluation of a Low-Cost Commercial Actigraph and Its Potential Use in Detecting Cultural Variations in Physical Activity and Sleep.

Pavlos Topalidis, Cristina Florea, Esther-Sevil Eigl, Anton Kurapov, Carlos Alberto Beltran Leon, Manuel Schabus

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Crocus Sativus for Insomnia: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
    Pooled it
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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

6 authors.

Pavlos TopalidisLaboratory for Sleep, Cognition & Consciousness Research, Department of Psychology & Centre for Cognitive Neuroscience Salzburg (CCNS), Paris-Lodron University of Salzburg, 5020 Salzburg, Austria.ORCID 0000-0002-6235-060X
Cristina FloreaLaboratory for Sleep, Cognition & Consciousness Research, Department of Psychology & Centre for Cognitive Neuroscience Salzburg (CCNS), Paris-Lodron University of Salzburg, 5020 Salzburg, Austria.ORCID 0000-0003-2187-8421
Esther-Sevil EiglLaboratory for Sleep, Cognition & Consciousness Research, Department of Psychology & Centre for Cognitive Neuroscience Salzburg (CCNS), Paris-Lodron University of Salzburg, 5020 Salzburg, Austria.
Anton KurapovDepartment of Experimental and Applied Psychology, Faculty of Psychology, Taras Shevchenko National University of Kyiv, 03680 Kyiv, Ukraine.
Carlos Alberto Beltran LeonDepartment of Clinical Neurophysiology, Institute of Neurology and Neurosurgery, 10200 Havana, Cuba.
Manuel SchabusLaboratory for Sleep, Cognition & Consciousness Research, Department of Psychology & Centre for Cognitive Neuroscience Salzburg (CCNS), Paris-Lodron University of Salzburg, 5020 Salzburg, Austria.ORCID 0000-0001-5899-8772

Funding

Austrian Science Fund FWF W 1233
6 · The paper itself

Abstract

The purpose of the present study was to evaluate the performance of a low-cost commercial smartwatch, the Xiaomi Mi Band (MB), in extracting physical activity and sleep-related measures and show its potential use in addressing questions that require large-scale real-time data and/or intercultural data including low-income countries. We evaluated physical activity and sleep-related measures and discussed the potential application of such devices for large-scale step and sleep data acquisition. To that end, we conducted two separate studies. In Study 1, we evaluated the performance of MB by comparing it to the GT3X (ActiGraph, wGT3X-BT), a scientific actigraph used in research, as well as subjective sleep reports. In Study 2, we distributed the MB across four countries (Austria, Germany, Cuba, and Ukraine) and investigated physical activity and sleep among these countries. The results of Study 1 indicated that MB step counts correlated highly with the scientific GT3X device, but did display biases. In addition, the MB-derived wake-up and total-sleep-times showed high agreement with subjective reports, but partly deviated from GT3X predictions. Study 2 revealed similar MB step counts across countries, but significant later wake-up and bedtimes for Ukraine than the other countries. We hope that our studies will stimulate future large-scale sensor-based physical activity and sleep research studies, including various cultures.

Indexed as

ActigraphySleepExerciseGermanyPolysomnographyReproducibility of ResultsActiGraphactigraphyconsumer devicecultural variationslow-cost fitness trackersphysical activitysleepXiaomi Mi band

Identifiers

PMID34072347
PMCPMC8198913

What OpenQuestion holds

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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.