Literature DB >> 34037209

Accelerometer-derived physical activity and risk of atrial fibrillation.

Shaan Khurshid1,2,3, Lu-Chen Weng2,3, Mostafa A Al-Alusi1,2,3, Jennifer L Halford2,3,4, Julian S Haimovich2,3,4, Emelia J Benjamin5,6,7, Ludovic Trinquart5,8, Patrick T Ellinor2,3,9, David D McManus10, Steven A Lubitz2,3,9.   

Abstract

AIMS: Physical activity may be an important modifiable risk factor for atrial fibrillation (AF), but associations have been variable and generally based on self-reported activity. METHODS AND
RESULTS: We analysed 93 669 participants of the UK Biobank prospective cohort study without prevalent AF who wore a wrist-based accelerometer for 1 week. We categorized whether measured activity met the standard recommendations of the European Society of Cardiology, American Heart Association, and World Health Organization [moderate-to-vigorous physical activity (MVPA) ≥150 min/week]. We tested associations between guideline-adherent activity and incident AF (primary) and stroke (secondary) using Cox proportional hazards models adjusted for age, sex, and each component of the Cohorts for Heart and Aging Research in Genomic Epidemiology AF (CHARGE-AF) risk score. We also assessed correlation between accelerometer-derived and self-reported activity. The mean age was 62 ± 8 years and 57% were women. Over a median of 5.2 years, 2338 incident AF events occurred. In multivariable adjusted models, guideline-adherent activity was associated with lower risks of AF [hazard ratio (HR) 0.82, 95% confidence interval (CI) 0.75-0.89; incidence 3.5/1000 person-years, 95% CI 3.3-3.8 vs. 6.5/1000 person-years, 95% CI 6.1-6.8] and stroke (HR 0.76, 95% CI 0.64-0.90; incidence 1.0/1000 person-years, 95% CI 0.9-1.1 vs. 1.8/1000 person-years, 95% CI 1.6-2.0). Correlation between accelerometer-derived and self-reported MVPA was weak (Spearman r = 0.16, 95% CI 0.16-0.17). Self-reported activity was not associated with incident AF or stroke.
CONCLUSIONS: Greater accelerometer-derived physical activity is associated with lower risks of AF and stroke. Future preventive efforts to reduce AF risk may be most effective when targeting adherence to objective activity thresholds. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atrial fibrillation; Physical activity; Screening; Wearable device

Mesh:

Year:  2021        PMID: 34037209      PMCID: PMC8291334          DOI: 10.1093/eurheartj/ehab250

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   35.855


  43 in total

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2.  Mobile Health Technology to Improve Care for Patients With Atrial Fibrillation.

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Journal:  J Am Coll Cardiol       Date:  2020-04-07       Impact factor: 24.094

3.  Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.

Authors:  Whitney A Welch; David R Bassett; Dixie L Thompson; Patty S Freedson; John W Staudenmayer; Dinesh John; Jeremy A Steeves; Scott A Conger; Tyrone Ceaser; Cheryl A Howe; Jeffer E Sasaki; Eugene C Fitzhugh
Journal:  Med Sci Sports Exerc       Date:  2013-10       Impact factor: 5.411

4.  Physical activity and incidence of atrial fibrillation in older adults: the cardiovascular health study.

Authors:  Dariush Mozaffarian; Curt D Furberg; Bruce M Psaty; David Siscovick
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5.  Wearable-device-measured physical activity and future health risk.

Authors:  Tessa Strain; Katrien Wijndaele; Paddy C Dempsey; Stephen J Sharp; Matthew Pearce; Justin Jeon; Tim Lindsay; Nick Wareham; Søren Brage
Journal:  Nat Med       Date:  2020-08-17       Impact factor: 53.440

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Journal:  Eur Heart J       Date:  2013-06-11       Impact factor: 29.983

7.  Associations of Fitness, Physical Activity, Strength, and Genetic Risk With Cardiovascular Disease: Longitudinal Analyses in the UK Biobank Study.

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Journal:  Circulation       Date:  2018-04-09       Impact factor: 29.690

8.  Estimation of Physical Activity Energy Expenditure during Free-Living from Wrist Accelerometry in UK Adults.

Authors:  Tom White; Kate Westgate; Nicholas J Wareham; Soren Brage
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

9.  Validity Evaluation of the Fitbit Charge2 and the Garmin vivosmart HR+ in Free-Living Environments in an Older Adult Cohort.

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Journal:  JMIR Mhealth Uhealth       Date:  2019-06-19       Impact factor: 4.773

10.  Are Self-report Measures Able to Define Individuals as Physically Active or Inactive?

Authors:  Jostein Steene-Johannessen; Sigmund A Anderssen; Hidde P van der Ploeg; Ingrid J M Hendriksen; Alan E Donnelly; Søren Brage; Ulf Ekelund
Journal:  Med Sci Sports Exerc       Date:  2016-02       Impact factor: 5.411

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  4 in total

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Journal:  Front Neurol       Date:  2022-05-06       Impact factor: 4.086

2.  Mobile health for walking on the tightrope of optimal physical activity to reduce the risk of atrial fibrillation.

Authors:  Renate B Schnabel; Larissa Fabritz; Paulus Kirchhof
Journal:  Eur Heart J       Date:  2021-07-01       Impact factor: 35.855

3.  The year in cardiovascular medicine 2021: arrhythmias.

Authors:  Harry J G M Crijns; Prashantan Sanders; Christine M Albert; Pier D Lambiase
Journal:  Eur Heart J       Date:  2022-03-21       Impact factor: 35.855

4.  Wearable accelerometer-derived physical activity and incident disease.

Authors:  Shaan Khurshid; Lu-Chen Weng; Victor Nauffal; James P Pirruccello; Rachael A Venn; Mostafa A Al-Alusi; Emelia J Benjamin; Patrick T Ellinor; Steven A Lubitz
Journal:  NPJ Digit Med       Date:  2022-09-02
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