Literature DB >> 29981731

Performance analysis of walking of 10,000 regular users of a connected activity tracker.

C Le Hello1, B Trombert2, A Morel3, A Chieh4, B Brouard4, C Boissier3.   

Abstract

BACKGROUND: According to the World Health Organization, individuals should walk 10,000 per day. Our aim was to determine the factors influencing this objective by using connected activity trackers.
METHODS: Anonymized data of 10,000 regular users of the Withings pulse Ox over a 3-month period.
RESULTS: Ratio men/women was 2.2, mean age 44.9±10.6 years, mean BMI 27.0±5.3kg/m2, proportion of individuals living in big towns 21.4%, proportion of physical activity<2 METs 66%. The frequency of achieving 10,000 daily steps was similar for work days, weekends and whole weeks. Mean number of daily steps, mean daily covered distances and slopes were higher during work days (P<0.0001); mean speed was higher during the weekends (P<0.0001). According to a quartile-repartition (percentages of use-days with 10,000 steps), the goal was more often achieved during work days (P<0.0001), if BMI<25kg/m2 (P<0.001), in individuals living in big towns (P<0.001) or having≥2 acquaintances to take up challenges (P<0.001).
CONCLUSION: Connected activity trackers represent a valuable tool for evaluating the number of daily steps and for providing feedback to promote walking.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Activité physique; Connected device; Marche; Objet connecté; Physical activity; Walking

Mesh:

Year:  2018        PMID: 29981731     DOI: 10.1016/j.jdmv.2018.04.001

Source DB:  PubMed          Journal:  J Med Vasc        ISSN: 2542-4513


  5 in total

1.  Accuracy of consumer-level and research-grade activity trackers in ambulatory settings in older adults.

Authors:  Salvatore Tedesco; Marco Sica; Andrea Ancillao; Suzanne Timmons; John Barton; Brendan O'Flynn
Journal:  PLoS One       Date:  2019-05-21       Impact factor: 3.240

2.  How Are Wearable Activity Trackers Adopted in Older Adults? Comparison between Subjective Adoption Attitudes and Physical Activity Performance.

Authors:  Byung Cheol Lee; Junfei Xie; Toyin Ajisafe; Sung-Hee Kim
Journal:  Int J Environ Res Public Health       Date:  2020-05-15       Impact factor: 3.390

3.  Wrist-Worn Activity Trackers in Laboratory and Free-Living Settings for Patients With Chronic Pain: Criterion Validity Study.

Authors:  Veronica Sjöberg; Jens Westergren; Andreas Monnier; Riccardo Lo Martire; Maria Hagströmer; Björn Olov Äng; Linda Vixner
Journal:  JMIR Mhealth Uhealth       Date:  2021-01-12       Impact factor: 4.773

Review 4.  The Impact of Wearable Technologies in Health Research: Scoping Review.

Authors:  Sophie Huhn; Miriam Axt; Hanns-Christian Gunga; Martina Anna Maggioni; Stephen Munga; David Obor; Ali Sié; Valentin Boudo; Aditi Bunker; Rainer Sauerborn; Till Bärnighausen; Sandra Barteit
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-25       Impact factor: 4.773

5.  Cardiovascular and Pre-Frailty Risk Assessment during Shelter-In-Place Measures Based on Multimodal Biomarkers Collected from Smart Telemedical Wearables.

Authors:  Eliasz Kańtoch; Anna Kańtoch
Journal:  J Clin Med       Date:  2021-05-06       Impact factor: 4.241

  5 in total

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