Cargando…

Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis

BACKGROUND: Physical inactivity is a known risk factor for atrial fibrillation (AF). Wearable devices, such as smartwatches, present an opportunity to investigate the relation between daily step count and AF risk. OBJECTIVE: The objective of this study was to investigate the association between dail...

Descripción completa

Detalles Bibliográficos
Autores principales: Shapira-Daniels, Ayelet, Kornej, Jelena, Spartano, Nicole L, Wang, Xuzhi, Zhang, Yuankai, Pathiravasan, Chathurangi H, Liu, Chunyu, Trinquart, Ludovic, Borrelli, Belinda, McManus, David D, Murabito, Joanne M, Benjamin, Emelia J, Lin, Honghuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028513/
https://www.ncbi.nlm.nih.gov/pubmed/36877540
http://dx.doi.org/10.2196/43123
_version_ 1784909962396303360
author Shapira-Daniels, Ayelet
Kornej, Jelena
Spartano, Nicole L
Wang, Xuzhi
Zhang, Yuankai
Pathiravasan, Chathurangi H
Liu, Chunyu
Trinquart, Ludovic
Borrelli, Belinda
McManus, David D
Murabito, Joanne M
Benjamin, Emelia J
Lin, Honghuang
author_facet Shapira-Daniels, Ayelet
Kornej, Jelena
Spartano, Nicole L
Wang, Xuzhi
Zhang, Yuankai
Pathiravasan, Chathurangi H
Liu, Chunyu
Trinquart, Ludovic
Borrelli, Belinda
McManus, David D
Murabito, Joanne M
Benjamin, Emelia J
Lin, Honghuang
author_sort Shapira-Daniels, Ayelet
collection PubMed
description BACKGROUND: Physical inactivity is a known risk factor for atrial fibrillation (AF). Wearable devices, such as smartwatches, present an opportunity to investigate the relation between daily step count and AF risk. OBJECTIVE: The objective of this study was to investigate the association between daily step count and the predicted 5-year risk of AF. METHODS: Participants from the electronic Framingham Heart Study used an Apple smartwatch. Individuals with diagnosed AF were excluded. Daily step count, watch wear time (hours and days), and self-reported physical activity data were collected. Individuals’ 5-year risk of AF was estimated, using the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE)–AF score. The relation between daily step count and predicted 5-year AF risk was examined via linear regression, adjusting for age, sex, and wear time. Secondary analyses examined effect modification by sex and obesity (BMI≥30 kg/m(2)), as well as the relation between self-reported physical activity and predicted 5-year AF risk. RESULTS: We examined 923 electronic Framingham Heart Study participants (age: mean 53, SD 9 years; female: n=563, 61%) who had a median daily step count of 7227 (IQR 5699-8970). Most participants (n=823, 89.2%) had a <2.5% CHARGE-AF risk. Every 1000 steps were associated with a 0.08% lower CHARGE-AF risk (P<.001). A stronger association was observed in men and individuals with obesity. In contrast, self-reported physical activity was not associated with CHARGE-AF risk. CONCLUSIONS: Higher daily step counts were associated with a lower predicted 5-year risk of AF, and this relation was stronger in men and participants with obesity. The utility of a wearable daily step counter for AF risk reduction merits further investigation.
format Online
Article
Text
id pubmed-10028513
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-100285132023-03-22 Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis Shapira-Daniels, Ayelet Kornej, Jelena Spartano, Nicole L Wang, Xuzhi Zhang, Yuankai Pathiravasan, Chathurangi H Liu, Chunyu Trinquart, Ludovic Borrelli, Belinda McManus, David D Murabito, Joanne M Benjamin, Emelia J Lin, Honghuang J Med Internet Res Original Paper BACKGROUND: Physical inactivity is a known risk factor for atrial fibrillation (AF). Wearable devices, such as smartwatches, present an opportunity to investigate the relation between daily step count and AF risk. OBJECTIVE: The objective of this study was to investigate the association between daily step count and the predicted 5-year risk of AF. METHODS: Participants from the electronic Framingham Heart Study used an Apple smartwatch. Individuals with diagnosed AF were excluded. Daily step count, watch wear time (hours and days), and self-reported physical activity data were collected. Individuals’ 5-year risk of AF was estimated, using the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE)–AF score. The relation between daily step count and predicted 5-year AF risk was examined via linear regression, adjusting for age, sex, and wear time. Secondary analyses examined effect modification by sex and obesity (BMI≥30 kg/m(2)), as well as the relation between self-reported physical activity and predicted 5-year AF risk. RESULTS: We examined 923 electronic Framingham Heart Study participants (age: mean 53, SD 9 years; female: n=563, 61%) who had a median daily step count of 7227 (IQR 5699-8970). Most participants (n=823, 89.2%) had a <2.5% CHARGE-AF risk. Every 1000 steps were associated with a 0.08% lower CHARGE-AF risk (P<.001). A stronger association was observed in men and individuals with obesity. In contrast, self-reported physical activity was not associated with CHARGE-AF risk. CONCLUSIONS: Higher daily step counts were associated with a lower predicted 5-year risk of AF, and this relation was stronger in men and participants with obesity. The utility of a wearable daily step counter for AF risk reduction merits further investigation. JMIR Publications 2023-03-06 /pmc/articles/PMC10028513/ /pubmed/36877540 http://dx.doi.org/10.2196/43123 Text en ©Ayelet Shapira-Daniels, Jelena Kornej, Nicole L Spartano, Xuzhi Wang, Yuankai Zhang, Chathurangi H Pathiravasan, Chunyu Liu, Ludovic Trinquart, Belinda Borrelli, David D McManus, Joanne M Murabito, Emelia J Benjamin, Honghuang Lin. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.03.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Shapira-Daniels, Ayelet
Kornej, Jelena
Spartano, Nicole L
Wang, Xuzhi
Zhang, Yuankai
Pathiravasan, Chathurangi H
Liu, Chunyu
Trinquart, Ludovic
Borrelli, Belinda
McManus, David D
Murabito, Joanne M
Benjamin, Emelia J
Lin, Honghuang
Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis
title Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis
title_full Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis
title_fullStr Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis
title_full_unstemmed Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis
title_short Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis
title_sort step count, self-reported physical activity, and predicted 5-year risk of atrial fibrillation: cross-sectional analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028513/
https://www.ncbi.nlm.nih.gov/pubmed/36877540
http://dx.doi.org/10.2196/43123
work_keys_str_mv AT shapiradanielsayelet stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT kornejjelena stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT spartanonicolel stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT wangxuzhi stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT zhangyuankai stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT pathiravasanchathurangih stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT liuchunyu stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT trinquartludovic stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT borrellibelinda stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT mcmanusdavidd stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT murabitojoannem stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT benjaminemeliaj stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis
AT linhonghuang stepcountselfreportedphysicalactivityandpredicted5yearriskofatrialfibrillationcrosssectionalanalysis