Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Physical Activity and Risk of Atrial Fibrillation: A Nationwide Cohort Study in General Population

Abstract

Although exercise prevents cardiovascular disease and mortality, vigorous exercise and endurance athletics can cause atrial fibrillation (AF). However, no large cohort study has assessed the relationship between physical activity and AF in the general population. We assessed the effect of physical activity at different energy expenditures on the incidence of AF. We studied 501,690 individuals without pre-existing AF (mean age, 47.6 ± 14.3 years; 250,664 women [50.0%]) included in the Korean National Health Insurance Service database. The physical activity level was assessed using a standardized self-reported questionnaire at baseline. During a median follow-up of 4 years, 3,443 participants (1,432 women [41.6%]) developed AF. The overall incidence of AF at follow-up was 1.79 per 1,000 person-years. The subjects who met the recommended physical activity level (500–1,000 metabolic equivalent task [MET] minutes/week) had a 12% decreased AF risk (adjusted hazard ratio [HR]: 0.88, 95% confidence interval [CI]: 0.80–0.97), but not the insufficiently (1–500 MET-minutes/week; HR: 0.94, 95% CI: 0.86–1.03) and highly active subjects (≥1,000 MET-minutes/week; HR: 0.93, 95% CI: 0.85–1.03). The recommended minimum key target range of physical activity level was associated with the maximum benefit for reduced AF risk in the general population. The dose-response relationship between physical activity level and AF risk showed a U-shaped pattern. Although exceeding the key target range attenuated this benefit, it did not increase the AF risk beyond that during inactivity.

Introduction

Atrial fibrillation (AF) is the most common cardiac arrhythmia worldwide and can increase the risk of stroke, heart failure, dementia, and mortality1,2,3. The lifetime AF risk is one in four individuals aged >40 years4. Its prevalence will increase rapidly with the aging society, and the public health burden imposed by AF and AF-related morbidity is enormous. The population attributable risk of AF for lifestyle based risk factors is more than half5. Regular physical activity has favorable effects on cardiovascular risk factors, including significant reductions in cardiovascular morbidity and mortality for those meeting the recommended level.

The potential benefit of regular physical activity in reducing AF risk may be considerable. However, the relationship between physical activity level and AF risk remains unclear; the reported relationship varied among studies. Moderate physical activity is related to reduced AF risk, while high-intensity or endurance exercise is associated with increased AF risk in younger athletes and middle-aged men6,7,8,9,10. Thus, the effect of different physical activity levels on the incidence of AF varies. However, no eligible studies have addressed whether the public health guideline-recommended physical activity level can positively affect the AF risk. Moreover, the optimal target range for AF prevention remains undefined.

In this study, we evaluated the association of physical activity level and new-onset AF in a community-based database in Korea, which includes >500,000 individuals who underwent health examinations. Moreover, we assessed the effect of different physical activity levels on the incidence of AF and aimed to suggest the optimal target range of physical activity for AF prevention.

Methods

Data source

This study was based on the Korean National Health Insurance Service (NHIS) sample cohort (from 2002 to 2013) database released in 2015. The NHIS manages all Korean health service databases as a single-insurer system. The sample cohort was extracted via probability sampling from all beneficiaries of the NHIS and National Medical Aid depending on the entire national cohort information. The sample cohort database consisted of the dataset of the sociodemographic information of the beneficiaries; medical claims dataset, including information on the diagnosis based on the 10th revision of the International Classification of Disease (ICD-10) codes, treatment, and admission; and National Health Screening dataset. The National Health Screening dataset comprised a health check-up database conducted for the entire Korean population from 2002 to 2013 by the National Health Insurance Corporation. The National Health Screening Program included chest X-ray, blood test, physical examination, anthropometric measurement, and use of a questionnaire related to physical activity. Approximately 70% of the entire cohort underwent a national health screening program11. The death registration database of the Korea National Statistical Office, including the date and cause of the death, was linked with the NHIS cohort database. Every population in the sample cohort was linked by the Korean social security numbers, and all social security numbers were deleted after constructing the cohort by providing serial numbers to prevent leakage of personal information. This study was approved by the Institutional Review Board (IRB) of Yonsei University College of Medicine in Seoul, Republic of Korea. The IRB waived the requirement to obtain informed consent, and this study was conducted in accordance with the tenets of the Declaration of Helsinki.

Study population

This study investigated adults without AF aged >18 years receiving the National Health Screening Program in 2009 among the total population included in the sample cohort. Data of 501,690 participants were available for analyses. To include only newly diagnosed AF, we selected all patients with AF not diagnosed during the 3-year blanking period from January 2002 to December 2004. AF was defined according to ICD-10 code I48 and presence of one hospitalization or two outpatient visits. To evaluate the accuracy of our definition of AF, we conducted a validation study in two hospitals with 628 randomly selected patients with ICD-10 code I48. Their electrocardiograms were reviewed by two physicians. The patients were ascertained to have AF, with a positive predictive value of 94.1%12,13. The participants were followed up at the time of incident AF, disqualification by the NHIS (mortality or immigration), or end of the study (December 31, 2013). The details regarding profile of this cohort and definition of AF have been well described in previously published articles11,12,13,14,15.

Physical activity level assessment

The National Health Screening Program included health examination and interview. The health interview included a self-administered standardized questionnaire for ascertaining the physical activity status16,17. Each participant was asked to report the frequency of physical activity weekly in three categories: vigorous (20-minute increments), moderate (30-minute increments), and walking (30-minute increments). Vigorous-intensity physical activity was defined as intense exercise that causes severe shortness of breath such as running. Moderate-intensity physical activity was defined as exercise that causes mild shortness of breath such as brisk walking and bicycling at a usual speed. Walking was defined as usual-pace walking for at least 10 minutes at a time, including transportation. Each type of activity was assigned a metabolic equivalent task (MET) score based on the energy cost18,19. We computed the energy expended in each activity by multiplying the associated MET score by the minutes on the activity and summed the energy expended across the moderate- to vigorous-intensity activities to estimate the total energy expenditure per week.

The participants were stratified on the basis of their weekly physical activity levels as follows: (1) inactive group: no leisure-time physical activity (LTPA) beyond basic movements; (2) insufficiently active group: having less than the key guideline target range (1–500 MET-minutes/week); (3) active group: meeting the key guideline target range (500–1,000 MET-minutes/week); and (4) highly active group: exceeding the key guideline target range (>1,000 MET-minutes/week)20,21.

Statistical analysis

Descriptive statistics were used to characterize the baseline characteristics and comorbidities. The values were presented as means ± standard deviations or as percentages, as appropriate. Cox proportional hazard regression was used to assess the association between AF and LTPA. Models for clinical variable adjustments were used to assess the association. A multivariable model was adjusted for age, sex, body mass index (BMI), heart failure, hypertension, diabetes, previous myocardial infarction (MI), prior stroke or transient ischemic attack, chronic kidney disease (CKD), smoking, and alcohol drinking. To assess the dose-response relationship LTPA and mortality, we used restricted cubic spline model. We further examined the physical activity levels by separating moderate-intensity and vigorous-intensity activities and creating mutually adjusted models. We also stratified them by potential effect modifiers of age, sex, BMI, waist circumflex, heart failure, hypertension, blood pressure, diabetes, CKD, previous MI, dyslipidemia, smoking, and alcohol drinking. A p-value of <0.05 was considered statistically significant. Statistical analysis was performed using the Statistical Package for Social Sciences version 23.0 (SPSS Inc., Chicago, IL, USA) and R version 3.4.4 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Baseline characteristics

In total, 501,690 participants (50% women) with a mean age of 47.6 ± 14.3 years were included in the analyses. The baseline characteristics of the study participants stratified according to their LTPA are compared in Table 1. With regard to physical activity level, 25.0% of the participants were inactive; 31.4% performed insufficiently active LTPA (1–500 MET-minutes/week); 26.5% performed active LTPA (500–1,000 MET-minutes/week); and 17.2% performed highly active LTPA (>1,000 MET-minutes/week).

Table 1 Baseline characteristics stratified by the leisure-time physical activity level.

Physical activity and AF

During a median follow-up of 4 years, 3,443 participants (1,432 women [41.6%]) developed AF. The overall incidence of AF at follow-up was 1.79 per 1,000 person-years. The cumulative incidence of AF according to physical activity levels presented in Supplementary Fig. 1. When stratified by physical activity level, the incidence was 2.27, 1.52, 1.56, and 1.91 per 1,000 person-years in the inactive, insufficiently active, active, and highly active groups, respectively (Table 2). There was a U-shaped relationship between physical activity level and AF risk (Fig. 1). The active group (500–1,000 MET-minutes/week) had a 12% lower risk of AF (adjusted hazard ratio [HR]: 0.88, 95% confidence interval [CI]: 0.80–0.97) than the inactive group. However, the insufficiently active group (1–500 MET-minutes/week; HR: 0.94, 95% CI: 0.86–1.03) and highly active group (≥1,000 MET-minutes/week; HR: 0.93, 95% CI: 0.85–1.03) had a modest but nonsignificant 6% and 7% lower risk of AF, respectively (Table 2).

Table 2 Risk of atrial fibrillation in relation to the total leisure-time physical activity.
Figure 1
figure1

Multivariable adjusted relative risk of atrial fibrillation according to physical activity level as classified in the Physical Activity Guidelines. Minimum key guidelines target range in Physical Activity Guidelines for Americans by the U.S. Department of Health and Human Services (2018): Doing the equivalent of 500 to 1,000 MET-minutes a week of physical activity. Multivariable adjusted hazard ratio (HR): age, sex, BMI, HF, HTN, DM, Previous MI, Stroke or TIA, CKD, Smoking, and Alcohol.

Cox models with cubic splines showed a shape of the dose-response curve for the relationship between physical activity and risk of AF (P non-linearity = 0.08, Supplementary Fig. 2). Physical activity at volumes of about 400–600 MET-minutes/week was associated with reduction for risk of AF. Physical activity volume over 1000 MET-minutes/week was not related with risk of AF, however, its relative risk was not higher than inactivity.

Exercise intensity and AF

We employed separate moderate-intensity and vigorous-intensity categories ranging from 0 to >1,000 MET-minutes/week, and the analysis models were mutually adjusted for both LTPA intensities (Table 3). We found an AF risk reduction in moderate-intensity LTPA (500–1,000 MET-minutes/week: HR: 0.90, 95% CI: 0.82–0.98). However, there was no reduction in the incidence of AF in vigorous-intensity LTPA. Even among the participants meeting the guideline-recommended LTPA level, the risk of AF significantly decreased after performing moderate-intensity LTPA; the risk did not decrease after performing vigorous-intensity LTPA.

Table 3 Risk of atrial fibrillation according to the intensity of physical activity.

The participants who engaged in both moderate- and vigorous-intensity activities had no additional reduction in the AF risk compared with those who performed moderate-intensity activity alone. The adjusted relative risk of AF of the participants who had vigorous-intensity LTPA was insignificantly higher than that of those who had moderate-intensity LTPA (Fig. 2).

Figure 2
figure2

Joint association of moderate-intensity and vigorous-intensity physical activities with the adjusted relative risk of atrial fibrillation. The multivariable adjusted hazard ratio was adjusted for age, sex, body mass index, heart failure, hypertension, diabetes, previous myocardial infarction, prior stroke or transient ischemic attack, chronic kidney disease, smoking, and alcohol drinking and mutually adjusted for both moderate- and vigorous-intensity activities.

Subgroup analysis

The adjusted AF risk according to the total physical activity level in each subgroup is presented in Table 4. The association between physical activity level and AF risk was similar across the subgroups; the maximum benefit for AF risk reduction was associated with meeting the key target range of physical activity, with interactions indicating greater benefits in patients with blood pressures below 130/80 mmHg and without central obesity.

Table 4 Association between increasing physical activity level and risk of atrial fibrillation according to subgroups.

Discussion

The present study investigated the association between LTPA and development of AF in a nationwide general population. We assessed the effect of LTPA at different energy expenditures as indicated in public health guidelines for physical activity20,21. The key target range of physical activity (500–1,000 MET-minutes/week) was associated with the largest benefit for reduced AF risk in the general population, whereas insufficient activity (1–500 MET-minutes/week) and high activity (>1,000 MET-minutes/week) attenuated the benefit for AF risk reduction. Our analysis found an incremental reduction in incident AF after moderate-intensity physical activity; higher-intensity physical activity had no beneficial effect. The dose-response relationship between physical activity level and AF risk appeared to follow a U-shaped pattern.

Physical activity and AF

The health benefits of regular physical activity have been well described, including significant reductions in cardiovascular mortality and morbidity for those meeting the recommended key target range. Furthermore, an additional benefit occurred with increasing physical activity level. At the minimum recommended physical activity level, the risk of mortality, coronary heart disease, and heart failure decreased; at two times the minimum recommended level, the risk decreased further22,23.

In this nationwide population-based large cohort study, the subjects who met the key minimum recommended target range by performing moderate- or vigorous-intensity LTPA had a 12% lower AF risk than the inactive subjects. Those exceeding the key minimum recommended target range had no significant risk reduction. Our findings are consistent with those of previous studies supporting that moderate but not vigorous physical activity decreases the AF risk. However, a higher activity level did not significantly increase the risk of AF compared with inactivity. The subjects who engaged in highly active LTPA did not appear to be at an increased risk of AF compared with those who had no LTPA. A meta-analysis including 18 cohort studies and one cross-sectional study reported that the dose-relationship between physical activity and AF had a J-shaped pattern, and a physical activity exceeding 1,200 MET-minutes/week was not associated with AF risk24. Some previous studies reported that increasing physical activity was probably associated with an increased risk of AF in men and a decreased risk in women25,26. However, our study did not find a gender-specific increased risk of AF with high volume physical activity. We believe the conflict results from different study populations. Previous studies reporting increased risk with higher physical activity level were mainly conducted among middle aged men or endurance athletes7,27,28, whereas our analyses conducted from general population with broad age. Zhu et al.25 meta-analysis reported that male individuals with intensive physical activity had a slightly higher risk of developing AF, but there was a significantly reduced risk of incident AF in female. Interestingly, the meta-analysis showed that increasing physical activity was probably associated with an increased risk of AF in middle- or young-aged men. In addition, the meta-analysis included only western countries data. The pattern of risk for AF with increasing physical activity level vary according to study characteristics. Therefore, self-reported physical activity, widely varying categorizing of the activity, vary in definition of AF and different cultural patterns of sport seem to limit the comparative interpretation of existing studies29,30.

Interestingly, there was no difference in the cumulative incidence of AF between highly active and inactive groups in men (Supplementary Fig. 1,C), whereas highly active group had lower cumulative incidence of AF than in inactive group in women (Supplementary Fig. 1,D). It may support the hypothesis which was exercise-induced enhancement of parasympathetic tone dominate in men7. Our findings indicate the uncertainty of the nature of the relationship at higher physical activity levels and the complex role of physical activity in modifying the risk of AF.

There are several mechanisms underlying the complex association between physical activity and AF. Physical activity can potentially reduce the risk of AF through beneficial effects on cardiovascular risk factors. Conversely, long-term high exercise levels may lead to remodeling of the heart and alteration of the autonomic nervous system31.

Exercise intensity and AF

The current public health guideline did not specifically consider the relative value of different physical activity levels such as moderate- and vigorous-intensity physical activities32. In the separate intensity model, the AF risk significantly decreased after moderate-intensity LTPA but not after vigorous-intensity LTPA. A small number of studies have reported the AF risk according to the intensity of physical activity. The relationship between exercise intensity and AF risk suggests a curvilinear response with diminishing benefit or even a risk with the most intense exercise33. Mozaffarian et al. reported that a significant reduction in the AF risk could be observed with moderate- but not high-intensity exercise6. Similarly, a Norwegian community-based cohort study reported that a significant reduction in the AF risk could be observed with moderate-intensity activities such as walking and cycling, but not higher-intensity activities30. We believe our data are of interest because they expand our understanding of the complex role of physical activity in modifying the risk of AF in the general population. Moderate physical activity may reduce the risk of AF via modified cardiovascular risk factors, e.g., by improving weight, blood pressure, inflammation, glucose level, and lipid control34,35,36.

However, this favorable effect of moderate physical activity on AF may be mitigated by chronic exposure to vigorous physical activity, which generates structural and functional cardiac adaptations that hinder the reduction of the risk of AF. The possible mechanism of the increased AF risk in subjects exposed to vigorous physical activity may be higher inflammation and oxidative stress37, increased atrial ectopic burden38, vagal enhancement39, and atrial dilatation and fibrosis40. These mechanisms are widely documented in long-endurance training and could counteract the beneficial effect of moderate physical activity on the AF risk41. Further studies designed to measure physical activity exposure in terms of energy expenditure are needed to clarify the relationship between different intensities of physical activity and AF risk.

A major strength of this study is its large sample size with a broad age range from a representative nationwide cohort, and that the uniform physical activity categories used matched the levels described in the current public guidelines. In addition, limited data are available to evaluate the AF in relation to LTPA in Asian population. To the best of our knowledge, this was the largest Asian population-based study investigating the association between physical activity and AF. However, some limitations must also be considered.

Study limitations

The limitations of this study include the reliance on the self-reported physical activity, which was reported at a single time point. This may cause inaccurate measurements of self-reported LTPA habits, and the conditions at the time of questionnaire completion may not represent the actual LTPA conditions throughout life. Further, behavioral changes during the follow-up period could not be assessed in our study. Nevertheless, self-report questionnaires may provide a reliable approximation of PA at a population level42, and validity of IPAQ based self-reported physical activity questionnaire has been confirmed in several studies and has yielded valuable results to date43. In addition, although the South Korean society has changed radically and has become more westernized, caution is needed for generalization of our results to western countries owing to racial, ethnic, and geographic restrictions. This study is potentially susceptible to errors arising from coding inaccuracies and cases of asymptomatic paroxysmal AF may have been missed because the research used administrative database. To minimize this problem, we applied the definition that we already validated in previous studies that used the Korean NHIS sample cohort and the diagnostic reliability of cohort data was high12,13,14,15. The validity of hazard ratios depend on the completeness of follow-up because the analysis was performed retrospectively. The NHIS in Korea is a universal coverage and single-insurer system, we believe that very small participants were lost to follow-up. Unfortunately, we were unable to adjust for variables that were not included in the cohort, such as occupational physical activity, echocardiogram and obstructive sleep apnea data.

Conclusions

Meeting the recommended key target range of physical activity was associated with the maximum benefit for AF risk reduction in the general population. The dose-response relationship between physical activity level and AF risk showed a U-shaped pattern. Although exceeding the key target range attenuated this benefit, it did not increase the risk of AF beyond that during inactivity. Our findings support the current public guideline-recommended 150-minute/week moderate-intensity physical activity for achieving health benefits. Although vigorous LTPA should not be discouraged for those who want a higher intensity of activity, our results indicate that moderate-intensity exercise is more recommended to achieve substantial health benefits for AF risk reduction.

References

  1. 1.

    Wolf, P. A., Abbott, R. D. & Kannel, W. B. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke 22, 983–988 (1991).

    CAS  Article  Google Scholar 

  2. 2.

    Benjamin, E. J. et al. Impact of atrial fibrillation on the risk of death: the Framingham Heart Study. Circulation 98, 946–952 (1998).

    CAS  Article  Google Scholar 

  3. 3.

    Santangeli, P. et al. Atrial fibrillation and the risk of incident dementia: a meta-analysis. Heart Rhythm 9, 1761–1768, https://doi.org/10.1016/j.hrthm.2012.07.026 (2012).

    Article  PubMed  Google Scholar 

  4. 4.

    Lloyd-Jones, D. M. et al. Lifetime risk for development of atrial fibrillation: the Framingham Heart Study. Circulation 110, 1042–1046, https://doi.org/10.1161/01.CIR.0000140263.20897.42 (2004).

    Article  PubMed  Google Scholar 

  5. 5.

    Huxley, R. R. et al. Absolute and attributable risks of atrial fibrillation in relation to optimal and borderline risk factors: the Atherosclerosis Risk in Communities (ARIC) study. Circulation 123, 1501–1508, https://doi.org/10.1161/CIRCULATIONAHA.110.009035 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Mozaffarian, D., Furberg, C. D., Psaty, B. M. & Siscovick, D. Physical activity and incidence of atrial fibrillation in older adults: the cardiovascular health study. Circulation 118, 800–807, https://doi.org/10.1161/CIRCULATIONAHA.108.785626 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Aizer, A. et al. Relation of vigorous exercise to risk of atrial fibrillation. Am J Cardiol 103, 1572–1577, https://doi.org/10.1016/j.amjcard.2009.01.374 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Thelle, D. S. et al. Resting heart rate and physical activity as risk factors for lone atrial fibrillation: a prospective study of 309,540 men and women. Heart 99, 1755–1760, https://doi.org/10.1136/heartjnl-2013-303825 (2013).

    Article  PubMed  Google Scholar 

  9. 9.

    Drca, N., Wolk, A., Jensen-Urstad, M. & Larsson, S. C. Atrial fibrillation is associated with different levels of physical activity levels at different ages in men. Heart 100, 1037–1042, https://doi.org/10.1136/heartjnl-2013-305304 (2014).

    Article  PubMed  Google Scholar 

  10. 10.

    Andersen, K. et al. Risk of arrhythmias in 52 755 long-distance cross-country skiers: a cohort study. Eur Heart J 34, 3624–3631, https://doi.org/10.1093/eurheartj/eht188 (2013).

    Article  PubMed  Google Scholar 

  11. 11.

    Lee, J., Lee, J. S., Park, S. H., Shin, S. A. & Kim, K. Cohort Profile: The National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea. Int J Epidemiol 46, e15, https://doi.org/10.1093/ije/dyv319 (2017).

    Article  PubMed  Google Scholar 

  12. 12.

    Lee, S. S. et al. Clinical implication of an impaired fasting glucose and prehypertension related to new onset atrial fibrillation in a healthy Asian population without underlying disease: a nationwide cohort study in Korea. Eur Heart J 38, 2599–2607, https://doi.org/10.1093/eurheartj/ehx316 (2017).

    Article  PubMed  Google Scholar 

  13. 13.

    Kim, T. H. et al. CHA2DS2-VASc Score (Congestive Heart Failure, Hypertension, Age>/=75 [Doubled], Diabetes Mellitus, Prior Stroke or Transient Ischemic Attack [Doubled], Vascular Disease, Age 65-74, Female) for Stroke in Asian Patients With Atrial Fibrillation: A Korean Nationwide Sample Cohort Study. Stroke 48, 1524–1530, https://doi.org/10.1161/STROKEAHA.117.016926 (2017).

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Lee, H. Y. et al. Atrial fibrillation and the risk of myocardial infarction: a nation-wide propensity-matched study. Sci Rep 7, 12716, https://doi.org/10.1038/s41598-017-13061-4 (2017).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Kim, K. et al. Long-Term Impact of Newly Diagnosed Atrial Fibrillation During Critical Care: A South Korean Nationwide Cohort Study. Chest, https://doi.org/10.1016/j.chest.2019.04.011 (2019).

    Article  Google Scholar 

  16. 16.

    Chun, M. Y. Validity and reliability of korean version of international physical activity questionnaire short form in the elderly. Korean J Fam Med 33, 144–151, https://doi.org/10.4082/kjfm.2012.33.3.144 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Rim, T. H. et al. A Nationwide Cohort Study on the Association Between Past Physical Activity and Neovascular Age-Related Macular Degeneration in an East Asian Population. JAMA Ophthalmol 136, 132–139, https://doi.org/10.1001/jamaophthalmol.2017.5682 (2018).

    Article  PubMed  Google Scholar 

  18. 18.

    Ainsworth, B. E. et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 32, S498–504 (2000).

    CAS  Article  Google Scholar 

  19. 19.

    Craig, C. L. et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35, 1381–1395, https://doi.org/10.1249/01.MSS.0000078924.61453.FB (2003).

    Article  Google Scholar 

  20. 20.

    U.S. Department of Health and Human Services. Physical Activity Guidelines for Americans, 2nd edition. (U.S. Department of Health and Human Services, 2018).

  21. 21.

    World Health Organization. Global Recommendations on Physical Activity for Health. (World Health Organization, 2010).

  22. 22.

    Moore, S. C. et al. Leisure time physical activity of moderate to vigorous intensity and mortality: a large pooled cohort analysis. PLoS Med 9, e1001335, https://doi.org/10.1371/journal.pmed.1001335 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Sattelmair, J. et al. Dose response between physical activity and risk of coronary heart disease: a meta-analysis. Circulation 124, 789–795, https://doi.org/10.1161/CIRCULATIONAHA.110.010710 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Ricci, C. et al. Physical activity volume in relation to risk of atrial fibrillation. A non-linear meta-regression analysis. Eur J Prev Cardiol 25, 857–866, https://doi.org/10.1177/2047487318768026 (2018).

    Article  PubMed  Google Scholar 

  25. 25.

    Zhu, W. G. et al. Sex Differences in the Association Between Regular Physical Activity and Incident Atrial Fibrillation: A Meta-analysis of 13 Prospective Studies. Clin Cardiol 39, 360–367, https://doi.org/10.1002/clc.22531 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Mohanty, S. et al. Differential Association of Exercise Intensity With Risk of Atrial Fibrillation in Men and Women: Evidence from a Meta-Analysis. J Cardiovasc Electrophysiol 27, 1021–1029, https://doi.org/10.1111/jce.13023 (2016).

    Article  PubMed  Google Scholar 

  27. 27.

    Karjalainen, J., Kujala, U. M., Kaprio, J., Sarna, S. & Viitasalo, M. Lone atrial fibrillation in vigorously exercising middle aged men: case-control study. BMJ 316, 1784–1785 (1998).

    CAS  Article  Google Scholar 

  28. 28.

    Mont, L. et al. Long-lasting sport practice and lone atrial fibrillation. Eur Heart J 23, 477–482, https://doi.org/10.1053/euhj.2001.2802 (2002).

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Graff-Iversen, S. et al. Atrial fibrillation, physical activity and endurance training. Tidsskr Nor Laegeforen 132, 295–299, https://doi.org/10.4045/tidsskr.11.0567 (2012).

    Article  PubMed  Google Scholar 

  30. 30.

    Morseth, B. et al. Physical activity, resting heart rate, and atrial fibrillation: the Tromso Study. Eur Heart J 37, 2307–2313, https://doi.org/10.1093/eurheartj/ehw059 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Wilhelm, M. et al. Atrial remodeling, autonomic tone, and lifetime training hours in nonelite athletes. Am J Cardiol 108, 580–585, https://doi.org/10.1016/j.amjcard.2011.03.086 (2011).

    Article  PubMed  Google Scholar 

  32. 32.

    2018 Physical Activity Guidelines Advisory Committee. 2018 Physical Activity Guidelines Advisory Committee Scientific Report. (U.S. Department of Health and Human Services, 2018).

  33. 33.

    Thompson, P. D. Physical Fitness, Physical Activity, Exercise Training, and Atrial Fibrillation: First the Good News, Then the Bad. J Am Coll Cardiol 66, 997–999, https://doi.org/10.1016/j.jacc.2015.07.003 (2015).

    Article  PubMed  Google Scholar 

  34. 34.

    Mora, S., Cook, N., Buring, J. E., Ridker, P. M. & Lee, I. M. Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms. Circulation 116, 2110–2118, https://doi.org/10.1161/CIRCULATIONAHA.107.729939 (2007).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Lee, I. M., Djousse, L., Sesso, H. D., Wang, L. & Buring, J. E. Physical activity and weight gain prevention. JAMA 303, 1173–1179, https://doi.org/10.1001/jama.2010.312 (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Menezes, A. R. et al. Atrial fibrillation in the 21st century: a current understanding of risk factors and primary prevention strategies. Mayo Clin Proc 88, 394–409, https://doi.org/10.1016/j.mayocp.2013.01.022 (2013).

    Article  PubMed  Google Scholar 

  37. 37.

    Finaud, J., Lac, G. & Filaire, E. Oxidative stress: relationship with exercise and training. Sports Med 36, 327–358, https://doi.org/10.2165/00007256-200636040-00004 (2006).

    Article  PubMed  Google Scholar 

  38. 38.

    Baldesberger, S. et al. Sinus node disease and arrhythmias in the long-term follow-up of former professional cyclists. Eur Heart J 29, 71–78, https://doi.org/10.1093/eurheartj/ehm555 (2008).

    Article  PubMed  Google Scholar 

  39. 39.

    Guasch, E. et al. Atrial fibrillation promotion by endurance exercise: demonstration and mechanistic exploration in an animal model. J Am Coll Cardiol 62, 68–77, https://doi.org/10.1016/j.jacc.2013.01.091 (2013).

    Article  PubMed  Google Scholar 

  40. 40.

    Benito, B. et al. Cardiac arrhythmogenic remodeling in a rat model of long-term intensive exercise training. Circulation 123, 13–22, https://doi.org/10.1161/CIRCULATIONAHA.110.938282 (2011).

    Article  PubMed  Google Scholar 

  41. 41.

    Elliott, A. D., Maatman, B., Emery, M. S. & Sanders, P. The role of exercise in atrial fibrillation prevention and promotion: Finding optimal ranges for health. Heart rhythm 14, 1713–1720, https://doi.org/10.1016/j.hrthm.2017.07.001 (2017).

    Article  PubMed  Google Scholar 

  42. 42.

    Loney, T., Standage, M., Thompson, D., Sebire, S. J. & Cumming, S. Self-report vs. objectively assessed physical activity: which is right for public health? J Phys Act Health 8, 62–70 (2011).

    Article  Google Scholar 

  43. 43.

    Armstrong, M. E. et al. Frequent physical activity may not reduce vascular disease risk as much as moderate activity: large prospective study of women in the United Kingdom. Circulation 131, 721–729, https://doi.org/10.1161/CIRCULATIONAHA.114.010296 (2015).

    CAS  Article  PubMed  Google Scholar 

Download references

Acknowledgements

This study was supported by a research grant from the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science, and Technology (NRF-2017R1A2B3003303) and grants from the Korean Healthcare Technology R&D project funded by the Ministry of Health & Welfare (HI16C0058 and HI15C1200).

Author information

Affiliations

Authors

Contributions

Jin M.N. and Yang P.S. designed of the study, conducted data analysis, and wrote the manuscript; Song C.H. participated in design of the study; Yu H.T., Kim T.H., Uhm J.S., Sung J.H., Pak H.N. and Lee M.H. participated in data collection; Joung B. revised and edited the manuscript. All authors have reviewed and approved the final version of the manuscript.

Corresponding author

Correspondence to Boyoung Joung.

Ethics declarations

Competing Interests

Boyoung Joung has served as a speaker for Bayer, BMS/Pfizer, Medtronic, and Daiichi-Sankyo and received research funds from Medtronic and Abbott. None of the other authors have any conflicts of interest to disclose. No fees were directly received personally.

Additional information

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Jin, MN., Yang, PS., Song, C. et al. Physical Activity and Risk of Atrial Fibrillation: A Nationwide Cohort Study in General Population. Sci Rep 9, 13270 (2019). https://doi.org/10.1038/s41598-019-49686-w

Download citation

Further reading

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing