Evidence map›Paper›PMID 32501803›Full record

ArticleJournal of medical Internet research2020

Wearable Activity Trackers for Monitoring Adherence to Home Confinement During the COVID-19 Pandemic Worldwide: Data Aggregation and Analysis.

Jean Louis Pépin, Rosa Maria Bruno, Rui-Yi Yang, Vincent Vercamer, Paul Jouhaud, Pierre Escourrou, Pierre Boutouyrie

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 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

61 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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1 more citing papers are in PubMed but not listed here.

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.

Jean Louis PépinHP2 (Hypoxia and Physio-Pathologies) Laboratory, Inserm (French National Institute of Health and Medical Research) U1042, University Grenoble Alpes, Grenoble, France.ORCID 0000-0003-3832-2358
Rosa Maria BrunoInserm (French National Institute of Health and Medical Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.ORCID 0000-0002-6107-3356
Rui-Yi YangWithings, Issy les Moulineaux, France.ORCID 0000-0001-5188-9987
Vincent VercamerWithings, Issy les Moulineaux, France.ORCID 0000-0001-8143-5900
Paul JouhaudWithings, Issy les Moulineaux, France.ORCID 0000-0002-4877-0755
Pierre EscourrouHôpital Béclère, Assistance Publique Hôpitaux de Paris, Paris, France.ORCID 0000-0003-0068-0563
Pierre BoutouyrieInserm (French National Institute of Health and Medical Research) U970, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, Paris, France.ORCID 0000-0002-4375-3569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the context of home confinement during the coronavirus disease (COVID-19) pandemic, objective, real-time data are needed to assess populations' adherence to home confinement to adapt policies and control measures accordingly.

objectiveThe aim of this study was to determine whether wearable activity trackers could provide information regarding users' adherence to home confinement policies because of their capacity for seamless and continuous monitoring of individuals' natural activity patterns regardless of their location.

methodsWe analyzed big data from individuals using activity trackers (Withings) that count the wearer's average daily number of steps in a number of representative nations that adopted different modalities of restriction of citizens' activities.

resultsData on the number of steps per day from over 740,000 individuals around the world were analyzed. We demonstrate the physical activity patterns in several representative countries with total, partial, or no home confinement. The decrease in steps per day in regions with strict total home confinement ranged from 25% to 54%. Partial lockdown (characterized by social distancing measures such as school closures, bar and restaurant closures, and cancellation of public meetings but without strict home confinement) does not appear to have a significant impact on people's activity compared to the pre-pandemic period. The absolute level of physical activity under total home confinement in European countries is around twofold that in China. In some countries, such as France and Spain, physical activity started to gradually decrease even before official commitment to lockdown as a result of initial less stringent restriction orders or self-quarantine. However, physical activity began to increase again in the last 2 weeks, suggesting a decrease in compliance with confinement orders.

conclusionsAggregate analysis of activity tracker data with the potential for daily updates can provide information regarding adherence to home confinement policies.

Indexed as

Data AggregationData AnalysisFitness TrackersLocomotionSocial IsolationAdultBetacoronavirusCoronavirus InfectionsCOVID-19EuropeFemaleFranceHumansMaleMiddle AgedPandemicsCOVID-19home confinementlockdownmonitoringpandemictrackingwearable activity trackerswearables

Identifiers

PMID32501803
PMCPMC7307323

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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.