Evidence map›Paper›PMID 40184182›Full record

ArticleJournal of medical Internet research2025

Changes in Physical Activity, Heart Rate, and Sleep Measured by Activity Trackers During the COVID-19 Pandemic Across 34 Countries: Retrospective Analysis.

Bastien Wyatt, Nicolas Forstmann, Nolwenn Badier, Anne-Sophie Hamy, Quentin De Larochelambert, Juliana Antero, Arthur Danino, Vincent Vercamer, Paul De Villele, Benjamin Vittrant and 4 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

14 authors.

Bastien WyattInstitute for Research in bioMedicine and Epidemiology of Sport, Université Paris Cité, Paris, France.ORCID https://orcid.org/0009-0003-7979-7015
Nicolas ForstmannInstitute for Research in bioMedicine and Epidemiology of Sport, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0003-1364-8300
Nolwenn BadierInstitute for Research in bioMedicine and Epidemiology of Sport, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0002-6303-457X
Anne-Sophie HamyResidual Tumor and Response to Treatment Laboratory, Translational Research Department, INSERM, U932 Immunity and Cancer, Institut Curie, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0003-4430-3022
Quentin De LarochelambertInstitute for Research in bioMedicine and Epidemiology of Sport, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0001-8356-4028
Juliana AnteroInstitute for Research in bioMedicine and Epidemiology of Sport, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0001-6894-6693
Arthur DaninoResidual Tumor and Response to Treatment Laboratory, Translational Research Department, INSERM, U932 Immunity and Cancer, Institut Curie, Université Paris Cité, Paris, France.ORCID https://orcid.org/0009-0005-8679-4749
Vincent VercamerWithings, Issy-les-Moulineaux, France.ORCID https://orcid.org/0000-0001-8143-5900
Paul De VilleleWithings, Issy-les-Moulineaux, France.ORCID https://orcid.org/0000-0003-4419-7557
Benjamin VittrantWithings, Issy-les-Moulineaux, France.ORCID https://orcid.org/0000-0001-5578-7283
Thomas LanzDepartment of Anesthesiology, Clinique de la Sauvegarde, Lyon, France.ORCID https://orcid.org/0000-0003-1615-2159
Fabien ReyalResidual Tumor and Response to Treatment Laboratory, Translational Research Department, INSERM, U932 Immunity and Cancer, Institut Curie, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0002-2318-3589
Jean-François ToussaintInstitute for Research in bioMedicine and Epidemiology of Sport, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0002-0411-2363
Lidia DelrieuInstitute for Research in bioMedicine and Epidemiology of Sport, Université Paris Cité, Paris, France.ORCID https://orcid.org/0000-0003-1240-5390

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic disrupted behavior within populations, affecting physical activity (PA), heart rate (HR), and sleep characteristics in particular. Activity trackers provide unique insights into these changes, enabling large-scale, real-time monitoring.

objectiveThis study aims to analyze the associations between the features of the COVID-19 pandemic worldwide and PA, HR, and sleep parameters, using data collected from activity trackers over a 3-year period.

methodsWe performed a retrospective analysis using anonymized data collected from the 208,818 users of Withings Steel HR activity trackers, spanning 34 countries, over a 3-year period from January 2019 to March 2022. Key metrics analyzed included daily step counts, average heart rate, and sleep duration. The statistical methods used included descriptive analyses, time-trend analysis, and mixed models to evaluate the impact of restriction measures, controlling for potential confounders such as sex, age, and seasonal variations.

resultsWe detected a significant decrease in PA, with a 12.3% reduction in daily step count (from 5802 to 5082 steps/d) over the 3 years. The proportion of sedentary individuals increased from 38% (n=14,177) in 2019 to 52% (n=19,510) in 2020 and remained elevated at 51% (n=18,972) in 2022, while the proportion of active individuals dropped from 8% (n=2857) to 6% (n=2352) in 2020 before returning to 8% (n=2877) in 2022. In 2022, the global population had not returned to prepandemic PA levels, with a noticeable persistence of inactivity. During lockdowns, HR decreased by 1.5%, which was associated with lower activity levels. Sleep duration increased during restrictions, particularly in the countries with the most severe lockdowns (eg, an increase of 15 min in countries with stringent measures compared to 5 min in less restricted regions).

conclusionsThe sustained decrease in PA and its physiological consequences highlight the need for public health strategies to mitigate the long-term effects of the measures taken during the pandemic. Despite the gradual lifting of restrictions, PA levels have not fully recovered, with lasting implications for global health. If similar circumstances arise in the future, priority should be given to measures for effectively increasing PA to counter the increase in sedentary behavior, mitigate health risks, and prevent the rise of chronic diseases.

Indexed as

COVID-19ExerciseFitness TrackersHeart RateSleepAdultAgedFemaleHumansMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2Sedentary Behavioractivity trackerCovid-19heart ratepandemicphysical activitypre-pandemicpublic healthsedentary behaviorsleep durationsleep qualitystepwearable sensorsWithings

Identifiers

PMID40184182
PMCPMC12008701

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.