Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis
BackgroundPhysical 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. ObjectiveThe objective of this study was to investig...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2023-03-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2023/1/e43123 |
| _version_ | 1797734373594759168 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Ayelet Shapira-Daniels |
| collection | DOAJ |
| description |
BackgroundPhysical 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.
ObjectiveThe objective of this study was to investigate the association between daily step count and the predicted 5-year risk of AF.
MethodsParticipants 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/m2), as well as the relation between self-reported physical activity and predicted 5-year AF risk.
ResultsWe 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.
ConclusionsHigher 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. |
| first_indexed | 2024-03-12T12:43:23Z |
| format | Article |
| id | doaj.art-66e27173a1f344bba1ae31edc0ad9064 |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T12:43:23Z |
| publishDate | 2023-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-66e27173a1f344bba1ae31edc0ad90642023-08-28T23:42:50ZengJMIR PublicationsJournal of Medical Internet Research1438-88712023-03-0125e4312310.2196/43123Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional AnalysisAyelet Shapira-Danielshttps://orcid.org/0000-0002-4920-2397Jelena Kornejhttps://orcid.org/0000-0003-3551-1145Nicole L Spartanohttps://orcid.org/0000-0002-0724-8629Xuzhi Wanghttps://orcid.org/0000-0003-4326-691XYuankai Zhanghttps://orcid.org/0000-0002-2318-7539Chathurangi H Pathiravasanhttps://orcid.org/0000-0003-2170-1247Chunyu Liuhttps://orcid.org/0000-0002-9160-0153Ludovic Trinquarthttps://orcid.org/0000-0002-3028-4900Belinda Borrellihttps://orcid.org/0000-0002-0859-796XDavid D McManushttps://orcid.org/0000-0002-9343-6203Joanne M Murabitohttps://orcid.org/0000-0002-0192-7516Emelia J Benjaminhttps://orcid.org/0000-0003-4076-2336Honghuang Linhttps://orcid.org/0000-0003-3043-3942 BackgroundPhysical 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. ObjectiveThe objective of this study was to investigate the association between daily step count and the predicted 5-year risk of AF. MethodsParticipants 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/m2), as well as the relation between self-reported physical activity and predicted 5-year AF risk. ResultsWe 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. ConclusionsHigher 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.https://www.jmir.org/2023/1/e43123 |
| spellingShingle | 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 Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis Journal of Medical Internet Research |
| 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 |
| url | https://www.jmir.org/2023/1/e43123 |
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