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Abstract

Atrial fibrillation (AF), the most common sustained cardiac arrhythmia, is associated with substantial morbidity, mortality, and healthcare use. Great strides have been made in stroke prevention and rhythm control strategies, yet reducing the incidence of AF has been slowed by the increasing incidence and prevalence of AF risk factors, including obesity, physical inactivity, sleep apnea, diabetes mellitus, hypertension, and other modifiable lifestyle-related factors. Fortunately, many of these AF drivers are potentially reversible, and emerging evidence supports that addressing these modifiable risks may be effective for primary and secondary AF prevention. A structured, protocol-driven multidisciplinary approach to integrate lifestyle and risk factor management as an integral part of AF management may help in the prevention and treatment of AF. However, this aspect of AF management is currently underrecognized, underused, and understudied. The purpose of this American Heart Association scientific statement is to review the association of modifiable risk factors with AF and the effects of risk factor intervention. Implementation strategies, care pathways, and educational links for achieving impactful weight reduction, increased physical activity, and risk factor modification are included. Implications for clinical practice, gaps in knowledge, and future directions for the research community are highlighted.
Atrial fibrillation (AF) has been projected to be a burgeoning health threat and is associated with stroke, heart failure, and death, imposing a substantial international health burden (Table 1). The incidence of AF may be fueled by our population’s advancing age and increased obesity, factors highly associated with and potentially causal for AF. Several risk factors for AF may be reversible,10 including obesity, hypertension, diabetes mellitus (DM), sleep apnea, coronary artery disease, heart failure (HF), and alcohol or tobacco use.
Table 1. AF Epidemiology Facts
>33 Million: number of people affected worldwide
≈5 Million: new cases per year worldwide
≈2.7–6.1 Million: number of people affected in the United States
≈12.1–15.9 Million: number estimated to be affected in the United States by 2050
37%: Lifetime risk of AF in people ≥55 y of age
$26 Billion: estimated increase in annual healthcare costs from AF in the United States from $6 billion
0.5%–9.3% Per year: stroke risk in patients with AF
AF indicates atrial fibrillation.
Data derived from January et al,1,2 Chugh et al,3 Kim et al,4 Chatterjee et al,5 Go et al,6 Staerk et al,7 Miyasaka et al,8 and Benjamin et al.9
Recently, several studies have reported a positive impact on decreasing AF burden from lifestyle changes that target weight loss, physical activity, and risk factor modification.11–14 Effective weight loss and increased physical fitness resulted in significant reductions in AF burden.15 These findings suggest that a new paradigm for AF management should include a new pillar targeting lifestyle and risk factor modification (Figure 1) and that public health initiatives and policy recommendations that target these areas might effectively reduce the incidence and burden of AF.
Figure 1. Strategies of AF management. In addition to the traditional 3 strategies of AF management, a fourth approach addressing lifestyle and risk factors is suggested. AF indicates atrial fibrillation; CAD, coronary artery disease; DM, diabetes mellitus; and HTN, hypertension.
The goal of this scientific statement is to increase knowledge and awareness of the science related to the prevention and treatment of AF through lifestyle and risk factor modification interventions. The statement briefly reviews the association of modifiable risk factors with AF and focuses on the potential effects of risk factor intervention on primary (AF risk or incidence reduction) or secondary (AF burden reduction) prevention of AF. With some exceptions, most of the scientific evidence is observational. Studies have reported risk factor associations with incident AF (eg, new-onset AF), but fewer studies have examined the association of risk factors with burden of AF in patients with AF. Even fewer report the effects of prospective or randomized risk factor reduction on AF primary or secondary prevention. Implementation strategies, care pathways, and educational links for achieving impactful weight reduction, increased physical activity, and risk factor modification are included. Sections address implications for clinical practice, gaps in knowledge that drive future needs, and directions for the research community.
This scientific statement does not provide specific formal clinical recommendations but raises considerations for clinical practice and suggestions for best practices. The information presented here represents the synthesis of data and a consensus of experts convened on the writing group. Consensus summary statements required 80% agreement among the writing group. Members of the writing group performed detailed literature searches using PubMed, Web of Science, and Scopus to identify relevant original articles, guideline statements, and review articles in the literature. We restricted literature searches to articles published in English. The document was peer reviewed by official external reviewers representing experts in population-based, clinical, and translational research on AF.

Obesity and AF

Obesity imparts a multifactorial impact on cardiovascular health and is a compelling AF risk factor to modify on the basis of its worldwide growth, epidemiology, association studies, and basic science investigation, as well as the effect of weight intervention on AF burden.16,17 Strong associations between obesity (defined as body mass index [BMI] ≥30 kg/m2) and AF are consistently demonstrated (Table 2), and a mendelian randomization analysis of >50 000 individuals demonstrated that genetic variants associated with a high BMI correlated with AF incidence, supporting a causal relationship between BMI and AF.5
Table 2. Obesity and AF Associations
Framingham Heart Study18: obesity ↑ risk for AF by 1.5-fold with 4% ↑ in AF risk per 1-unit ↑ in BMI >25 kg/m2
Cohort study meta-analyses: incident AF ↑ 29% for each 5-unit ↑ in BMI19
AF risk is associated with epicardial and abdominal fat20
Obesity and higher BMI are associated with ↑ in AF burden, including progression from paroxysmal to permanent AF21–23
Weight fluctuations can modulate AF risk and persistence20,21
Postoperative AF ↑ 10% and postablation AF 13% for every 5-unit ↑ in BMI19
AF indicates atrial fibrillation; and BMI, body mass index.

Mechanisms Underlying Obesity and AF

Animal models of obesity support epidemiological observations. Conduction slowing and larger atrial size and pressure contribute to AF vulnerability in humans. Obesity causes similar findings in animal models. In a sheep overfeeding model, increasing weight correlated with increased biatrial volumes, inflammatory infiltrates, TGFβ1 (transforming growth factor-β1), PDGF (platelet-derived growth factor), and fibrosis.24 Overfed, obese, or higher-weight sheep had heterogeneity of activation and conduction velocity slowing, rate-dependent conduction slowing, spontaneous AF episodes, easier AF induction, and longer AF episodes.25 Chronic AF models showed marked increases in pericardial fat volume associated with fat cell infiltration into adjacent myocardium, forming a unique substrate for AF in obesity. In a pig AF model, a high-fat diet resulted in shortening of pulmonary vein effective refractory period and more sustained AF compared with control.26
Several mechanistic studies suggest that pericardial and epicardial fat exerts arrhythmogenicity via stearic acid effects on cardiac ionic currents to shorten the action potential,27 and a direct effect of epicardial fat–associated inflammatory markers can promote AF stability.28,29 Obesity-related hypertension and diastolic dysfunction can also activate stretch-activated left atrial (LA) channels, increasing AF susceptibility. Moreover, obesity contributes to the development of obstructive sleep apnea (OSA), hypertension, and DM, which independently increase AF risk.30

Impact of Weight Loss on AF Burden and Incidence

Weight change is a reliable quantitative measure for tracking the success of weight loss strategies. Several observational studies noted an impressive impact on AF burden by weight loss.31 This inspired prospective studies directed toward weight and other risk factor reduction (Table 3 and Figure 2). In the LEGACY trial (Long-Term Effect of Goal-Directed Weight Management in an Atrial Fibrillation Cohort), patients who underwent goal-directed weight loss and risk factor management over 4 years were analyzed on the basis of percent body weight lost.13 Patients who lost and maintained the loss of ≥10% of their body weight enjoyed a 6-fold arrhythmia-free likelihood compared with those who lost <3% or gained weight. Weight fluctuation of >5%, but not stable weight, was independently associated with AF recurrence and offset the weight loss effect to some degree. In the REVERSE-AF trial (Prevention and Regressive Effect of Weight-Loss and Risk Factor Modification on Atrial Fibrillation), a subanalysis of LEGACY, patients who had the least percent of body weight lost had the highest progression to persistent AF (48%).15 In the subcohort of patients with ≥10% weight reduction who started with persistent AF, 88% of patients became paroxysmal or had no AF. Although it is difficult to discern the effect of weight reduction alone, several studies approached AF risk by intervening on multiple risk factors, including obesity. A 15-month prospective randomized controlled trial (RCT) used a risk factor modification scheme, including weight loss (along with OSA, hypertension, tobacco, alcohol, and glycemic control), and measured AF burden, AF symptoms score, and echocardiographic features.32 The overall trend was toward decreased AF symptoms and burden in the intervention group. Similarly, the RACE 3 study (Routine Versus Aggressive Upstream Rhythm Control for Prevention of Early AF in Heart Failure) randomized patients with early persistent AF and HF to conventional therapy or risk factor–driven upstream therapy and cardiac rehabilitation (physical activity, dietary restrictions, counseling).14 Although this study did not specifically focus on weight loss (therefore, the effect attributable to weight loss alone cannot be defined), sinus rhythm at 1 year after cardioversion by 7-day Holter monitoring occurred in 75% of the upstream and 63% of the conventional group. The ARREST-AF Cohort Study (Aggressive Risk Factor Reduction Study for Atrial Fibrillation) followed up risk factor reduction in patients with a BMI ≥27 kg/m2 who had AF ablation.12 The 41% who elected to undergo risk factor reduction had higher arrhythmia-free survival compared with those who declined this strategy.
Table 3. Selected Studies on Impact of Risk Factor Modification, Including Weight Reduction, on AF Burden or Incidence
StudynFollow-UpDesignInterventionResults
Abed et al3215015 moRCTParticipation in a physician-led multiple risk factor (weight loss, OSA, hypertension, tobacco, alcohol, and glycemic control) modification clinicIntervention groups had lower AF symptom burden scores (11.8 vs 2.6 points; P<0.001) and fewer AF episodes (2.5 vs no change; P=0.01) and total duration (692-min decline vs 419-min increase; P=0.002).
ARREST-AF1214942 moProspective, observational cohort studyRisk factor reduction in patients with BMI ≥27 kg/m2 after AF ablation Intervention: weight loss target BMI <27 kg/m2 or >10% weight loss41% Who elected to undergo AF risk factor reduction had longer arrhythmia-free survival compared with patients who declined; HR for likelihood of sinus rhythm at final follow-up, 4.8 (95% CI, 2.04–11.4; P<0.001)
LEGACY133554 yProspective, observational cohort studyGoal-directed weight loss Participants were divided into 3 groups according to degree of weight loss achieved at final follow-up (≥10% weight loss, 3%–9% weight loss, or <3% weight loss or weight gain)Freedom from any atrial arrhythmia at the final follow-up was significantly greater in those who achieved ≥10% weight loss compared with those who achieved the smallest amount of weight loss or gained weight (HR, 5.9 [95% CI, 3.4–10.3]; P<0.001)
REVERSE-AF153554 ySubanalysis of LEGACY13Effect on AF burden progression and reversal of persistent to paroxysmal AFSignificant reduction in AF burden progression and reversal of persistent to paroxysmal AF or no AF
RACE 3142451 yRandomized patients with early persistent AF and HFRisk factor–driven upstream therapy with MRAs, statins, ACE inhibitors or ARBs, and cardiac rehabilitation (physical activity, dietary restrictions, counseling)Sinus rhythm at 1 y after cardioversion by 7-d Holter monitoring occurred in 75% of the upstream and 63% of the conventional group (OR, 1.765; P=0.021)
Look AHEAD3350679 yRandomized obese or overweight patients with DMIntensive lifestyle intervention, including weight loss, increased physical activity vs DM support and education usual care groupNo difference in incident AF (6.1 vs 6.7 cases/1000 person-y, intensive lifestyle vs control; P=0.42)
ACE indicates angiotensin-converting enzyme; AF, atrial fibrillation; AHEAD, Action for Health in Diabetes; ARB, angiotensin receptor blocker; ARREST-AF, Aggressive Risk Factor Reduction Study for Atrial Fibrillation; BMI, body mass index; DM, diabetes mellitus; HF, heart failure; HR, hazard ratio; LEGACY, Long-Term Effect of Goal-Directed Weight Management in an Atrial Fibrillation Cohort; MRA, mineralocorticoid receptor antagonist; OR, odds ratio; OSA, obstructive sleep apnea; RACE 3, Routine Versus Aggressive Upstream Rhythm Control for Prevention of Early AF in Heart Failure; RCT, randomized controlled trial; and REVERSE-AF, Prevention and Regressive Effect of Weight-Loss and Risk Factor Modification on Atrial Fibrillation.
Figure 2. Prospective studies of lifestyle modifications, including WL, in overweight or obese patients with AF. A, In an RCT of 150 patients, symptom burden score was lower in patients who participated in a physician-led RFMx clinic (solid circles) compared with control subjects (open circles; P<0.001). Reproduced with permission from Abed et al.32 Copyright © 2013, American Medical Association. All rights reserved. B, ARREST-AF cohort study. The total AF-free survival in patients who underwent AF ablation, had a body mass index >27 kg/m2, and participated in a risk factor reduction strategic program (red line) was lower compared with that in patients who declined (blue line; P<0.001). Adapted from Pathak et al12 with permission from the American College of Cardiology Foundation. Copyright © 2014, American College of Cardiology Foundation. C, Total AF freedom from any atrial arrhythmia in the LEGACY observational cohort trial for patients with AF participating in a multifactorial risk factor management program was divided into 3 groups according to the degree of WL achieved at final follow up (≥10% WL, red line; 3%–9% WL, blue line; or <3% WL or WG, purple line). Besides reductions in AF in the ≥10% WL group (P<0.001), there were improvements (P<0.001) in mean systolic blood pressure, lipid levels, glycemic control (by hemoglobin A1c, fasting insulin levels), high-sensitivity C-reactive protein levels, left atrial volume, interventricular septal thickness, left ventricular end-diastolic diameter, and E/E’. Adapted from Pathak et al13 with permission from the American College of Cardiology Foundation. Copyright © 2015, American College of Cardiology Foundation. D, REVERSE, a subanalysis of LEGACY, shows the progression vs reversal of persistent to paroxysmal AF. Left, The highest progression to persistent AF occurred in group 1 patients (<3% WL, purple bar) and the lowest in group 3 patients (>10% WL, green bar). Right, Likewise, more patients transitioned from persistent to paroxysmal in group 3 than group 2 or 1. Adapted from Middeldorp et al15 by permission of the European Society of Cardiology. Copyright © 2018, The Author(s). Published on behalf of the European Society of Cardiology. All rights reserved. E, RACE 3 study patients with early persistent AF and heart failure were randomized to conventional therapy or risk factor–driven upstream therapy with mineralocorticoid receptor antagonists, statins, angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers and cardiac rehabilitation (physical activity, dietary restrictions, counseling). Sinus rhythm at 1 year after cardioversion by 7-day Holter monitoring occurred in 75% of the upstream and 63% of the conventional group. Reprinted from Rienstra et al14 by permission of the European Society of Cardiology. Copyright © 2018, The Author(s). Published on behalf of the European Society of Cardiology. All rights reserved. AF indicates atrial fibrillation; ARREST-AF, Aggressive Risk Factor Reduction Study for Atrial Fibrillation; LEGACY, Long-Term Effect of Goal-Directed Weight Management in an Atrial Fibrillation Cohort); RACE 3, Routine Versus Aggressive Upstream Rhythm Control for Prevention of Early AF in Heart Failure; RCT, randomized controlled trial; REVERSE, Prevention and Regressive Effect of Weight-Loss and Risk Factor Modification on Atrial Fibrillation; RFMx, risk factor modification; WG, weight gain; and WL, weight loss.
Whether intensive lifestyle intervention is effective in reducing incident AF remains to be established. In a secondary analysis of the randomized Look AHEAD trial (Action for Health in Diabetes) of 5067 overweight or obese patients with DM,33 AF was ascertained from ECGs or discharge summaries; in this study, weight loss and increased physical activity did not affect incident AF. However, bariatric surgery may produce benefits in reduction of AF risk. In the SOS matched cohort study (Swedish Obese Subjects) of 2000 obese subjects who underwent bariatric surgery matched to 2021 obese control subjects, risk of new AF, ascertained from the Swedish National Patient Registry, was 29% lower in the surgery group with more risk reduction in younger subjects and those with higher blood pressure (BP).34 Moreover, a retrospective study of 239 morbidly obese patients undergoing AF ablation reported reduced AF recurrence in patients who had bariatric surgery before ablation.35
Conversely, there appears to be a paradoxical effect with an increased risk of AF in individuals with very low body weight.16 More specifically, the risk of AF as determined in a large cohort analysis appears to be driven by low lean body mass rather than BMI alone or anthropomorphic obesity patterns such as waist or hip circumference.36
Several gaps in knowledge remain for AF in obese populations. The increase in AF risk by pericardial/epicardial fat accumulation37 requires further mechanistic investigation and expansion to additional cohorts. Defining the mechanism of risk may help tailor recommendations for AF prevention. However, although the most effective weight loss techniques for longitudinal success remain undefined, optimal weight management is considered an important component of AF management. The Australian LEGACY13 and ARREST-AF12 studies suggest that AF burden reduction can be achieved with initial targets of at least a 10% reduction in weight and a BMI <27 kg/m2 in conjunction with the management of concurrent risk factors. Although BMI reduction has been targeted, BMI has limitations, as is apparent from sex-based studies and the potential for lean body mass (adjusted by BMI and other measurements) and different adipose depots to contribute to AF. Finally, the relationship, either direct or indirect, between weight loss and AF reduction is an area of active investigation.

Summary

Obesity is a strong risk factor and may be causal for AF; obesity is associated with incident AF and persistence.
For overweight or obese patients with AF, data suggest targeting at least a 10% reduction in weight to effect reductions in AF burden.
Bariatric surgery in obese patients has been associated with reduced risk of new AF and recurrence after AF ablation.
Further mechanistic and clinical studies are needed to define populations at risk and how best to target obesity in AF.

Physical Activity and AF

Not only does physical inactivity contributes to AF burden through its association with established AF risk factors, but there is increasing evidence that inactivity represents an independent AF risk factor.38–42

Effects of Regular Moderate-Intensity Aerobic Exercise on AF Incidence and Burden

The 2018 Physical Activity Guidelines Advisory Committee Report recommends 150 min/wk of moderate-intensity or 75 min/wk of vigorous-intensity aerobic exercise (Table 4) for all adults because this exercise volume improves cardiovascular health.43 Observational and intervention studies indicate that regular aerobic exercise at the levels recommended by the Physical Activity Guidelines Advisory Committee may also reduce the risk of new-onset AF (Table 5). Moreover, physical activity may partially offset the elevated risk of AF associated with obesity.42,44 In addition, better cardiorespiratory fitness—as a consequence of aerobic exercise—has a graded and inverse relationship to AF burden in both middle-aged and elderly people.46 Data are more limited for the reduction of AF burden. CARDIO-FIT (Cardiorespiratory Fitness on Arrhythmia Recurrence in Obese Individuals With Atrial Fibrillation), a cohort study, assessed the impact of cardiorespiratory fitness gain on AF burden in overweight and obese individuals with nonpermanent AF. Higher cardiorespiratory fitness and a gain in cardiorespiratory fitness over time were associated with a greater reduction in AF burden.11 Every metabolic equivalent (MET) gained from baseline to follow-up was associated with a 9% decline in arrhythmia recurrence even after adjustment for weight loss and baseline cardiac risk factors. Improvements in exercise capacity as small as ≥2 METs in overweight individuals on top of weight loss were associated with a 2-fold greater freedom from AF.11
Table 4. Definitions
Physical activity: any body movement produced by skeletal muscles that increases energy expenditure above the basal level
Exercise: volitional physical activity that is carried out with the aim of improving or maintaining health
Moderate-intensity continuous training: exercising at a certain intensity continuously throughout the exercise session
High-intensity interval training: brief periods of high-intensity exercise interspersed with periods of low-intensity exercise or rest
Quantifying exercise
 Dose or volume of exercise: has 3 components—duration, frequency, and intensity—and can be defined as the product of these 3 components
 Exercise intensity: commonly measured in METs
  Moderate-intensity activities: 3.0–5.9 METs of energy expenditure
  Vigorous-intensity activities: ≥6.0 METs
 MET score: intensity of exercise (No. of METs)×frequency (sessions/wk)×duration (minutes or hours/session)=exercise volume in MET-minutes or hours/week
METs indicates metabolic equivalents.
Regular aerobic exercise may also improve AF-related symptoms,11,47 quality of life,47,48 and exercise capacity.47,48 An RCT of 28 patients with persistent AF found that compared with a nonexercise control, 2 months of moderate-intensity continuous training reduced AF-related symptoms and improved quality of life and exercise capacity.47 Similarly, another RCT of 49 patients with permanent AF reported that 12 weeks of moderate-intensity continuous training was superior to nonexercise control in increasing exercise capacity and improving quality of life.48 A meta-analysis of 5 RCTs reported that exercise training significantly improved exercise capacity, left ventricular ejection fraction, and scores in the General Health and Vitality sections of the Short Form-36.49
In summary, regular aerobic exercise is beneficial for preventing and treating AF, although the reach of physical activity and exercise interventions is currently limited in that <10% of adults meet current Physical Activity Guidelines, primarily because of time constraints.50

Exercise Dose and AF Risk

Participation in extreme endurance exercise races has grown in popularity. In parallel, there is growing concern that excessive exercise (such as that undertaken by endurance athletes) may be deleterious to cardiovascular health, including paradoxically increasing AF risk. Although observational studies may be limited by sex bias and are uncontrolled for factors such as height and ethnicity, a meta-analysis of 6 studies showed that athletes had a 5-fold increased risk of AF compared with age-matched controls (odds ratio, 5.3 [95% CI, 3.6–7.9]).51 A study of 52 755 long-distance cross-country skiers52 reported hazard ratios of 1.20 to 1.29 comparing the fastest with slower finishers and the most number of races with 1 race completed, possibly suggesting a gradient of AF risk among extreme exercisers. Most important, this higher risk of AF has been observed only with exercise doses that far exceed recommendations of the Physical Activity Guidelines Advisory Committee Report (Tables 5 and 6) and are therefore achieved by only <1% of Americans.
Table 5. Selected Studies on Impact of Moderate Regular Aerobic Exercise With Risk of Incident AF
Authors, YearStudy PopulationnExercise ExposureEffect on Incident AF
Mozaffarian et al, 200838Cardiovascular Health Study: community-based adults ≥65 y of age5446Low- vs moderate- vs high-intensity exerciseReduced risk with moderate-intensity vs no exercise (HR, 0.72 [95% CI, 0.58–0.89]), no effect with low- or high-intensity exercise
Everett et al, 201141Women’s Health Study: RCT of aspirin and vitamin E with observational follow-up in women ≥45 y of age without AF or CVD at enrollment34 759Quintiles of weekly leisure-time PAReduced risk with increasing levels of leisure-time PA (HR for extreme quintiles, 0.82 [95% CI, 0.66–1.01]; P for trend=0.007); strenuous PA up to 3 times/wk had 16% reduction in AF but NS when corrected for BMI
Azarbal et al, 201444Women’s Health Initiative: prospective observational cohort of postmenopausal women without prevalent AF or underweight BMI at baseline81 317MET-hours per weekReduced risk over 11.5-y follow-up in those who exercised over those who did not (>9 vs 0 MET-h/wk; HR, 0.90 [95% CI, 0.85–0.96])
Drca et al, 201540Swedish Mammography Cohort: community-based AF-free women (age, 49–83 y) completing a questionnaire at baseline36 513Duration of leisure-time PAReduced risk with increasing levels of leisure-time exercise at study entry (RR, 0.85 [95% CI, 0.75–0.95] for ≥4 vs <1 h/wk) and walking/bicycling (RR, 0.81 [95% CI, 0.72–0.92] for ≥40 min/d vs almost never)
Garnvik et al, 201845HUNT 3: prospective cohort in Norway (age, ≥18 y)43 602Levels of PA and obesityHigh-level PA attenuated higher risk in obese compared with normal-weight participants (HR, 1.53 [95% CI, 1.03–2.28] in active; 1.96 [95% CI, 1.44–2.67] in inactive); active obese had a 22% lower risk than sedentary obese individuals
AF indicates atrial fibrillation; BMI, body mass index; CVD, cardiovascular disease; HR, hazard ratio; HUNT 3, Nord-Trøndelag Health Study 3; MET, metabolic equivalent; NS, not significant; PA, physical activity; RCT, randomized controlled trial; and RR, relative risk.
Table 6. Selected Studies Relating High-Endurance Training With Risk of AF
Authors, YearStudy PopulationEffect on AF
Baldesberger et al, 200853Former professional cyclists vs controls (recreational golfers), case-control studyAF prevalence, 10% vs 0%; P=0.03
Elosua et al, 200654Sports competitors vs controls (not engaged in sports)OR for AF, 3.13 (95% CI, 1.39–7.05)
Molina et al, 200855Marathon runners vs controls (sedentary individuals)HR for AF, 8.80 (95% CI, 1.26–61.3)
Andersen et al, 201352Long-distance cross-country skiers (n=52 755) participating in Vasaloppet (90-km cross-country skiing event), 1989–1998HR for AF, highest number of completed races vs 1 completed race, 1.29 (95% CI, 1.04–1.61); HR for fastest relative finishing time vs >240% of winning time, 1.20 (95% CI, 0.93–1.555)
AF indicates atrial fibrillation; HR, hazard ratio; and OR, odds ratio.

Effects of High-Intensity Interval Training on AF Burden or Risk

There has been recent interest in the potential health benefits of high-intensity interval training (HIIT). Compared with moderate-intensity continuous training, potential advantages of HIIT include greater improvements in physiological parameters such as cardiorespiratory fitness,56 left ventricular ejection fraction,57 diastolic function,58 and endothelial/vascular function58,59 for the same level of energy expenditure; shorter duration; and better time-efficiency. Because lack of time is the most commonly cited reason for poor adherence to regular exercise,60 the time-efficiency of HIIT may be advantageous.
A randomized study of 51 patients with nonpermanent AF suggests that HIIT may reduce AF burden in the short term.61 The time commitment per session and per week was 40 and 120 minutes, respectively. Compared with a control group of patients with AF who continued their previous exercise habits, HIIT was associated with a greater reduction in AF burden after 12 weeks of exercise.61 However, another randomized study of moderate-intensity continuous training versus HIIT guided by the Borg maximal perceived exertion score over 12 weeks in 76 subjects with nonpermanent AF failed to show a significant difference in AF burden,62 yet in another study, patients with coexistent hypertension and kidney disease had more AF occurrence with HIIT compared with moderate-intensity exercise.63
The impact of HIIT on structural and electric remodeling of the LA is worth noting. In a study of 61 sedentary adults randomized to HIIT versus yoga for 10 months,64 there was no significant change in atrial electric activity by P-wave signal-averaged ECG in the HIIT group, although changes in echocardiographic LA structure, LA mechanical function, and left ventricular remodeling were noted. Of note, although there was adverse LA and left ventricular remodeling in the HIIT group compared with the yoga group, the LA and left ventricular volume increases resulting from vigorous exercise remained lower than those observed in competitive endurance athletes. In summary, further research is needed to determine whether a longer duration of HIIT remains beneficial in reducing AF burden or risk or whether it may paradoxically induce the electric changes thought to cause AF in endurance athletes.

Multicomponent and Mind-Body Exercise

Multicomponent exercise refers to physical activity that includes >1 type of exercise domain such as aerobic, muscle strengthening, and balance training. Mind-body exercise is a form of exercise that combines body movement, mental focus, and controlled breathing to improve strength, balance, flexibility, and overall health. Examples of multicomponent and mind-body exercises include yoga, tai chi (taiji), and qigong. Given the role of the autonomic nervous system in AF genesis65 and the salutary effect of mind-body exercises on cardiac autonomic function,66–69 yoga and tai chi may enhance the management of AF. Indeed, the YOGA My Heart Study demonstrated that 3 months of yoga training reduced AF burden and symptoms and improved several domains of quality of life.70 In a randomized study of HIIT versus yoga, although HIIT adversely affected atrial remodeling, there was no significant change in the yoga group, which was neutral on atrial changes that might improve AF risk.64

Summary

In the context of the available data, encouragement of increased moderate physical activity may help in the prevention and treatment of AF and is in keeping with the advice for general cardiovascular health.
Regular aerobic exercise is effective in reducing AF burden and improving AF-related symptoms and quality of life.
Moderate exercise at doses recommended by the 2018 Physical Activity Guidelines Advisory Committee (150 min/wk of moderate-intensity exercise) does not increase the risk of AF.
HIIT improves fitness and cardiac function and may increase the time-efficiency and compliance with and consistency of exercise, although the impact on LA structural and electrical remodeling is currently unclear.
Although moderate exercise appears to be beneficial, extreme levels of exercise may be associated with a higher risk of AF.

Sleep Disordered Breathing and AF

OSA, the most common form of sleep disordered breathing (SDB), is an important health problem with rising global prevalence estimated at close to 1 billion.71 SDB appears strongly associated with cardiovascular disease (CVD); in the Wisconsin Sleep Cohort, the adjusted hazard ratio for cardiovascular mortality in patients with untreated SDB was 5.2.72

Rationale for SDB Screening in Patients With AF

Although associations between SDB and AF may be driven in part by shared risk factors such as aging, male sex, obesity, hypertension, and HF, with postulated connections including hemodynamic, autonomic, and inflammatory mechanisms, a recent meta-analysis demonstrated an adjusted 2-fold risk of AF among patients with SDB.73 Studies consistently demonstrate a high SDB prevalence in AF populations, ranging from 21% to 87%.74–80
The bulk of evidence suggests a “dose-response” relationship between SDB severity and AF incidence, burden, and response to treatment. Patients with severe SDB are less likely to respond to antiarrhythmic drug therapy than those with milder forms of SDB.81 In a study of patients attending a sleep clinic, SDB diagnosis and severity were independently associated with incident AF.82
It is important to screen patients with AF for concomitant SDB. Patients with AF rarely report OSA-related symptoms, and lack of symptoms or excessive daytime sleepiness should not preclude patients from being investigated for the potential presence of concomitant OSA.83 Initial screening could include taking a sleep symptom–oriented clinical history and physical examination or questionnaires,84 with referral for further testing as indicated. Although polysomnography is the gold standard for the diagnosis of SDB,85 home sleep apnea testing is an alternative method to diagnose SDB.86

Impact of OSA Therapy on AF Burden and Incidence

Although there are few randomized trials, current evidence suggests that treatment of SDB in patients with AF leads to better outcomes. Among patients with SDB and AF who underwent cardioversion, those who received continuous positive airway pressure (CPAP) therapy had a lower recurrence of AF than those who did not.87 Similarly, an analysis of the ORBIT-AF (Outcomes Registry for Better Informed Treatment of AF) cohort demonstrated that those with SDB who were using CPAP were less likely to have progression of AF disease to more permanent AF.88 A recent meta-analysis demonstrated the consistently lower risk of AF recurrence in patients with SDB who used CPAP versus those who did not,89 especially in those who underwent AF ablation. Furthermore, some studies have demonstrated similar outcomes after ablation in CPAP-treated patients and in those without SDB.89–91
An important weakness of the aforementioned data is that they were derived almost exclusively from observational studies and are therefore prone to potential bias. Raising some concern, the SAVE study (Sleep Apnea Cardiovascular Endpoints), although underpowered for AF, was a large multicenter randomized study (n=2717) that compared CPAP and usual care alone and did not show a reduction in cardiovascular events, including incident new-onset AF, in patients with moderate to severe OSA and established CVD.92 Thus, more randomized trials are needed to support stronger recommendations for SDB diagnosis and treatment in patients with AF. In this population, weight loss also plays an important role in reducing SDB severity.93

Summary

There is a high prevalence of SDB in patients with AF.
Observational evidence suggests a dose-response relationship between SDB severity and AF incidence, burden, and response to treatment.
Patients with SDB who receive therapy with CPAP appear to have a lower risk of AF recurrence after AF ablation.
Because treatment of SDB may improve AF burden, screening and treatment for concomitant SDB are important components of lifestyle modification for patients with AF.
Randomized trials of screening and treatment for SDB are needed for patients with AF.

DM and AF

Multiple large population-based studies have shown associations between DM and AF. The Framingham Heart Study showed that in 4731 individuals, DM was significantly associated with development of AF after adjustment for confounders (odds ratio, 1.4 for men, 1.6 for women).30 In 845 748 patients discharged from Veterans Health Administration hospitals, 43 674 patients had AF; DM was independently associated with AF (odds ratio, 2.13; P<0.0001).94 Recently, a large meta-analysis of 1.6 million subjects showed a nearly 40% greater risk of AF in patients with DM after adjustment for traditional CVD confounders.95 Moreover, AF risk has been observed to be higher with longer DM duration and worse glycemic control, further supporting the notion that sustained glycemic damage may be arrhythmogenic.96
Not all studies show significant correlations between DM and AF after adjustment for confounding factors.97 In >70 000 Swedish adults, AF was associated with DM only after 20 years of insulin-dependent DM.97 In some studies, associations varied by whether CVD was present, with minimal associations found in those without CVD.98,99 Moreover, not all studies examining glycemic control and AF found associations after controlling for risk factors.98–100
On balance, it is likely that the associations between DM and AF are overestimated without accounting for confounders. However, even after adjustment for confounders, data from >1.6 million subjects show a strong association between DM and AF.95

DM Mechanisms

Data on the mechanistic pathways by which DM can cause AF are scarce. One proposed pathway is the effect of long-term DM on atrial structure and function. The Strong Heart Study showed that subjects with DM had greater echocardiographic left ventricular mass and wall thickness and higher pulse pressure/stroke volume (a surrogate for arterial stiffness) compared with patients without DM.101 Such chronic changes may eventually contribute to atrial dilatation and remodeling. Furthermore, increased production of advanced glycation end products can contribute to atrial fibrosis, a major contributor to AF.102,103
Besides atrial structural changes, DM may contribute to electric, electromechanical, and autonomic remodeling. In patients with AF undergoing radiofrequency ablation, those with DM had significantly lower right atrial and LA voltages than patients without DM.104 Patients with DM also have lower atrial reservoir and conduit function, as assessed by strain, and higher interatrial and intra-atrial electromechanical delays.105,106 As for autonomic differences, the atrial tissue in patients with DM has a greater ability to release acetylcholine and a higher susceptibility to AF after sympathetic simulation.107,108

Associations of DM Management With AF Risk or Burden

Although studies have been limited by their retrospective nature, aggressive glycemic control has been associated with reduced risk of AF development and recurrence. In 12 605 patients with DM, thiazolidinedione treatment over a 5-year duration was associated with reduced AF occurrence risk by ≈30% after adjustment for age and comorbidities.109 Similarly, a large population-based study of 645 710 Taiwanese subjects showed that metformin use was associated with a 19% lower risk of AF over 13 years compared with control, and metformin reduced cellular myolysis and oxidative stress in paced HL-1 atrial cells.110 Glycemic control may also reduce the risk of repeat ablation, as was shown in subjects with DM taking pioglitazone.111 Another study associated higher hemoglobin A1c levels and worsening 12-month trend in hemoglobin A1c with AF recurrence after ablation.112 Thus, blood sugar control may be an important strategy for reducing recurrent AF burden. However, the degree of control should follow current guidelines because there is no separate target for AF, and no randomized trials focusing on glycemic control as a sole intervention are available. Further research is needed to assess whether aggressive glycemic control may help reduce AF incidence and recurrence.

Summary

DM is associated with a higher risk of AF and may predispose to structural, electric, and autonomic changes.
Glycemic control has been associated with reduced risk of AF.
Blood sugar control may be an important strategy to reduce recurrent AF burden and should follow current guidelines.

Hypertension

BP and AF Risk

Epidemiological and clinical trial substudy data have linked AF risk with hypertension; AF and hypertension share common risk factors.30,113–115 Joint National Committee guidelines116 recommend BP targets <140/90 and <150/90 mm Hg for those <60 and >60 years of age, respectively, except for patients with comorbid DM or chronic kidney disease. Because of the high prevalence of hypertension, this risk factor provides the highest attributable risk for the development of AF. The population-attributable fraction for AF in the ARIC study (Atherosclerosis Risk in Communities) was 21.6% for elevated BP, 12.7% for BMI, 7.45% for smoking, 8.77% for DM, and 5.35% for history of cardiac disease.115
Poorly controlled BP has been associated with elevated AF risk.30,115 Clinical trial data suggest linear relationships between BP management and adverse cardiovascular outcomes (ie, “the lower the better”).117 Secondary analyses of randomized anticoagulant trials show variable associations of BP control with mortality in patients with AF. In general, however, studies support BP control as a strategy to lower stroke risk in patients with AF,118–120 and limited data suggest that sustained exposure to prehypertension (BP, 120–139/80–89 mm Hg) is associated with an increased risk of AF.121–124 To date, available evidence supports targeting BP at guideline-recommended levels for general cardiovascular health for primary AF prevention.

Specific BP Therapies

Elevated circulating levels of angiotensin II and aldosterone lead to inflammation, fibrosis, and anisotropic conduction and result in a medium that fosters AF.125 The use of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers as antihypertension therapy has yielded inconsistent results with regard to the primary prevention of AF.126,127 Mineralocorticoid receptor antagonist treatment was associated with reduced AF risk and recurrence in a meta-analysis of clinical trials and observational studies of mineralocorticoid receptor antagonist treatment (Table 7).128
Table 7. Mineralocorticoid Receptor Antagonist Treatment and AF Risk
Treatment AgentStudies, nFollow-Up DurationOutcome Measured
Spironolactone9Variable, up to and >24 moAF incidence, postoperative AF, freedom from AF
Eplerenone2Variable, up to and >24 moNew-onset AF, freedom from AF
Either agent33–24 moAF incidence, postoperative AF, freedom from AF
Finding: Risk of new-onset AF (odds ratio [OR], 0.52 [95% CI, 0.37–0.74]; P<0.001) and recurrence (OR, 0.37 [95% CI, 0.24–0.57]; P<0.001) was significantly reduced in those receiving mineralocorticoid receptor antagonist therapy.
AF indicates atrial fibrillation.
Data derived from Neefs et al.128
The SMAC AF study129 (Substrate Modification With Aggressive Blood Pressure Control) was a randomized, open-label trial of tight BP control compared with standard care in patients undergoing AF ablation. When moderate hypertension was managed as an isolated factor, no difference in arrhythmia control was observed. In contrast, in a small study of 76 patients with severe resistant hypertension and symptomatic AF randomized to AF ablation with or without renal sympathetic denervation, renal denervation was associated with a significant reduction in BP and AF burden at 12 months,130 and tight BP control was practiced in LEGACY.13 These observations suggest that, in the presence of severe hypertension, targeting this factor may aid arrhythmia control. The ongoing ASAF trial (Ablation of Sympathetic Atrial Fibrillation; NCT02115100) is randomizing 138 hypertensive patients with AF with signs of sympathetic overdrive to pulmonary vein isolation versus pulmonary vein isolation with renal denervation.131
Hypertension management for AF follows the current guidelines for general cardiovascular health and should include management of contributory lifestyle factors (obesity, physical inactivity, and diet), along with pharmacotherapy.

Summary

Hypertension is associated with risk of developing AF.
BP management for AF follows current guidelines for general cardiovascular health and should include contributory lifestyle factors (obesity, physical inactivity, and diet), along with pharmacotherapy.

Other Potentially Modifiable Risk Factors and AF

Several other conditions and modifiable factors show strong associations with AF incidence and prevalence. Thus, although there may be variable response to risk factor modification, these factors are important to address in a comprehensive AF management program. The direct impact of most interventions targeting these factors and conditions on AF reduction remains unknown. Table 8 summarizes data and recommendations for targeting coronary artery disease, HF, lipids, and tobacco, alcohol, and caffeine use, although some of these risk factors (eg, HF, coronary artery disease) may not be easily modifiable.
Table 8. Other Potentially Modifiable Risk Factors and AF
Risk FactorAssociation With AFImpact on AF of Targeting Risk FactorClinical Implications/Comments
Coronary artery diseaseCoronary artery disease and AF share common risk factors.132,133
Atrial ischemia can promote remodeling.134–136
High coronary calcium scores predicted LA and PV enlargement.137
AF after acute myocardial infarction predicts worse cardiovascular outcomes.138
Data are lacking on a direct atrial effect in treating coronary artery disease other than the use of β-blockers.139β-Blockers may be used for both coronary artery disease and AF.
Management should include targeting common risk factors.
HFPatients with HF have a higher risk of developing AF, and AF is associated with increased HF hospitalization and mortality.140–143
Cardiomyopathy begets atrial remodeling, which predisposes to the development of AF.144,145
Retrospective analyses of HF trials showed lower AF incidence with β-blockers,146 ACE inhibitors,147 ARBs,148,149 and MRAs.150
New-onset AF was similar among patients treated with a neprilysin inhibitor compared with enalapril.151
RACE 3 patients with early persistent AF and HF randomized to risk factor–driven pharmacological and lifestyle interventions had a higher rate of sinus rhythm at 1 y compared with control subjects.14
In a randomized clinical trial, catheter ablation of AF was shown to be superior to an antiarrhythmic drug strategy in select patients with concomitant HF.152,153
Patients with AF with HF should target risk factor modification with upstream therapies and lifestyle interventions.
LipidsHyperlipidemia has been associated with AF, although data are inconsistent.154–156
Statins have anti-inflammatory and antioxidant actions.157
Animal models suggested a potential protective effect of statins on atrial remodeling.158
Retrospective analyses suggested that statins might reduce AF recurrence after cardioversion.159,160
Randomized studies failed to show reduction in AF.
A meta-analysis of statins after catheter ablation showed no reduction in AF recurrence.161
Trials of polyunsaturated fatty acids, including randomized trials of omega-3 fatty acids, failed to show significant AF reduction.162–164
REDUCE-IT trial of icosapent ethyl 4 g/d showed increased AF hospitalization compared with a mineral oil control.165
In the absence of direct evidence for AF prevention, guideline-recommended levels for general cardiovascular health should be used.
Current data do not support the use of polyunsaturated fatty acids or statins targeting AF prevention.
TobaccoTobacco use has been associated with increased AF risk.30,166–168
A meta-analysis found a dose-dependent relationship between smoking and AF risk that was most prominent in active compared with former smokers.169
Chronic obstructive pulmonary disease is an independent risk factor for AF.170
Smoking negatively affects the efficacy of AF ablation.171
No specific data on AF are reported in targeted smoking cessation other than as part of general lifestyle and risk factor modification trials that report reductions in AF burden.Smoking cessation support and counseling are recommended in an AF prevention strategy.
AlcoholAlcohol may serve as both a trigger and sustainer of AF via atrial remodeling and autonomic effects.172–176
The Norwegian HUNT Study showed a curvilinear association between alcohol and the risk of AF, almost no increase in risk with ≤7 drinks/wk, but risk increased significantly with >14 drinks/wk. There was no demonstrated risk for ≤1 drink/d for women and 2 drinks/d for men.177
A recent RCT reported that abstinence from alcohol intake in patients with AF drinking ≥10 drinks/wk was associated with improved AF rhythm control compared with control.178 Alcohol use was reduced from 16.8±7.7 to 2.1±3.7 drinks/wk (87.5% reduction) in the abstinence group and 16.4±6.9 to 13.2±6.5 drinks/wk (19.5%) in the control group. AF recurred in 53% and 73% of the abstinence and control groups, respectively, with longer time to recurrence in the abstinence group (HR, 0.55; 95% CI, 0.36–0.84; P=0.005) and lower AF burden over 6 mo of follow-up (median 0.5% [IQR 0.0–3.0] vs 1.2% [IQR 0.0–10.3], P=0.01).Patients with AF who regularly consume moderate or high levels of alcohol should be counseled to reduce their intake.
CaffeineA meta-analysis of ≈230 000 patients identified a weak association between caffeine exposure and reduced AF risk. With habitual caffeine intake, there was a 6% relative risk reduction in AF incidence for every 300-mg/d increment in caffeine use.179
Other systematic reviews and meta-analyses did not identify an association between caffeine use and incident AF risk but found a possible protective effect at low dose180 and elevated doses.181
Of patients with AF, 25%–28% report caffeine as a trigger.182,183
In 116 patients with new-onset lone AF within 6 h of observation, 72 spontaneously converted and 44 were electrically cardioverted; >3 cups of coffee was associated with a reduction in the probability of spontaneous conversion (48% vs 75%; P=0.008).184
No evidence to date demonstrates that lowering or limiting caffeine intake confers a beneficial effect in reducing AF incidence or burden.182Data do not indicate that caffeine is a significant risk factor for incident AF; some studies suggest a possible protective role.
Caffeine reduction is not a ubiquitously used management strategy in AF risk factor modification.
Prospective studies on the role of caffeine reduction in patients with AF are lacking.
ACE indicates angiotensin-converting enzyme; AF, atrial fibrillation; ARB, angiotensin receptor blockers; HF, heart failure; HR, hazard ratio; HUNT, Nord-Trøndelag Health; IQR, interquartile range; LA, left atrial; MRA, mineralocorticoid receptor antagonist; PV, pulmonary vein; RACE 3, Routine Versus Aggressive Upstream Rhythm Control for Prevention of Early AF in Heart Failure; RCT, randomized controlled trial; and REDUCE-IT, Reduction of Cardiovascular Events With Icosapent Ethyl–Intervention Trial.

Summary

Smoking cessation and reduction of alcohol intake are important to address in an AF management program.
AF and HF can cause or exacerbate each other. In the presence of HF, optimization of guideline-directed medical therapy (including mineralocorticoid receptor antagonists), consideration of catheter ablation, and management of contributory lifestyle factors are important in AF management.
Hyperlipidemia should be managed according to current guidelines for general cardiovascular health. Data for the use of specific lipid-lowering agents for AF management are limited.
Lowering or limiting caffeine intake has not been demonstrated to significantly affect AF incidence.

Implications for Clinical Practice and Implementation Strategies: Achieving Effective Lifestyle Modifications

Lifestyle modification can be promoted by all healthcare providers, and physicians have a potentially important role in prioritizing clinical lifestyle interventions for patients with AF. Even brief physician advice to quit smoking or lose weight is associated with smoking cessation and weight loss.185,186 Optimally, each risk factor for a given individual should be targeted.

Implementation Strategies

Initial goals such as 10% weight loss and 2-MET increases in physical fitness to reduce AF burden in overweight and obese patients appear reasonable, as demonstrated by LEGACY, CARDIO-FIT,11 and REVERSE-AF.13,15 These studies recommended progressive goals to achieve a target BMI of ≤25 kg/m2 and initial low-intensity exercise for 20 minutes 3 times weekly, increasing to at least 200 min/wk of moderate-intensity activity. Screening and management of other risk factors follow American Heart Association/American College of Cardiology guidelines. Guideline goals include at least 150 min/wk of moderate-intensity or 75 min/wk of vigorous-intensity physical activity.187,188 Specific targets for other risk factors are a highly evolving area of continuing research.
For patients who are able, the use of a pedometer or smartphone/watch that can provide activity feedback may be an effective strategy to reduce sedentary activity and increase daily physical activity.189 Setting a step goal (eg, 5000 steps per day initially and then working up to >10 000 steps per day) can help to sustain effort over time.
Similarly, dietary apps can help patients track their weight and caloric intake and can be useful in promoting weight loss.190 However, significant and sustained weight loss is rarely accomplished without at least 6 months of sustained effort, so it is essential that patients are advised about, referred to, or enrolled in a comprehensive weight management program.191 For patients who are eligible and interested, bariatric surgery is highly effective at producing sustained weight loss and risk factor reduction192 and may reduce new AF incidence34 or recurrence after ablation.35
CPAP adherence can be difficult, and among patients with sleep apnea, clinicians should inquire about barriers to CPAP adherence.193 Referral to a specialty sleep clinic and several sequential trials of different delivery devices may increase hours of effective CPAP therapy.193
Alcohol and tobacco use should be managed as chronic diseases that necessitate multiple repeated interventions.194,195 Prescription medications such as nicotine replacement therapy for smoking cessation and naltrexone for alcohol use disorder can be considered, and referral to addiction centers is helpful.

Integrated Care Approach

The number of factors related to AF management increases its complexity and may result in suboptimal care if only some of the risk factors are addressed adequately. The Euro Heart Survey showed that adherence to established guidelines is poor, which leads to increased morbidity and mortality,196 highlighting the need for a comprehensive approach to service delivery for patients with AF. Use of or referral to multidisciplinary teams may facilitate intensive and comprehensive lifestyle counseling. If these programs are not available locally, health systems interested in reducing the burden of AF could invest in such treatment teams (Figures 3 and 4).
Figure 3. Integrated care model for AF management. The integration of lifestyle and risk factor management as an integral part of AF prevention has highlighted the need for an integrated approach to standardized service delivery. This figure provides an operational framework for an AF clinic. Although there is a core group who provides direction, appropriate referral channels or access to appropriate healthcare professionals is needed to provide comprehensive management. AF indicates atrial fibrillation; and EP, electrophysiologist.
Figure 4. AF management flow. Suggested flow for the assessment and management of lifestyle and risk factor modification for patients with AF. AAD indicates antiarrhythmic drug; and AF, atrial fibrillation.
An RCT demonstrated that a multidisciplinary, integrated, protocol-driven, guideline-based clinic resulted in a 35% relative risk reduction of the composite end point of cardiovascular hospitalization and mortality.197 The Before and After Study recruited patients with AF from the emergency department to a dedicated AF clinic within 7 days.198 Management was systematically undertaken to assess causative factors, symptoms, quality of life, and stroke risk. Patients were provided a treatment plan based on guidelines. Compared with a propensity-matched control cohort, there was a significant reduction in the composite end point of all-cause death, cardiovascular hospitalizations, and emergency department visits for AF (odds ratio, 0.71 [95% CI, 0.50–1.0]; P=0.049).
When available, providers may find it helpful to refer patients to structured programs that focus on risk factor management and prevention.199,200 Studies show that a structured program for appropriate intensive behavioral counseling with accompanying physician encouragement is effective in achieving change.201–203
Resources for additional information, clinical organizations, and guidelines in lifestyle medicine are given in Table 9. Key references by section may be found in the online data supplement.
Table 9. Organizations, Websites, and Clinical Practice Guidelines by Risk Factor
Risk FactorOrganizationWebsiteClinical Practice GuidelinesYear Issued
AlcoholAmerican Psychiatric Associationhttps://www.psychiatry.orgReus et al204
2018
 Agency for Healthcare Research and Qualityhttps://www.ahrq.govJonas et al2052014
DMADAhttps://www.diabetes.orgADA2062019
HypertensionACC/AHAhttps://www.acc.orgWhelton et al2072018
 NIH/NHLBIhttps://www.nhlbi.nih.gov/files/docs/public/heart/hbp_low.pdf  
Physical inactivityHealth and Human Serviceshttps://www.hhs.govPiercy et al2082018
ACC/AHAhttps://www.heart.orgEckel et al1872013
Sleep apneaAmerican Academy of Sleep Medicinehttps://aasm.orgKapur et al862017
TobaccoACChttps://www.acc.orgBarua et al2092018
 Agency for Healthcare Research and Qualityhttps://www.ahrq.govFiore and Baker1942008
ObesityObesity Society/ACC/AHAhttps://www.heart.orgJensen et al2102013
Endocrine Societyhttps://www.endocrine.orgApovian et al2112015
ACC indicates American College of Cardiology; ADA, American Diabetes Association; AHA, American Heart Association; DM, diabetes mellitus; NHLBI, National Heart, Lung, and Blood Institute; and NIH, National Institutes of Health.

Summary

Lifestyle risk factors for AF should be considered chronic diseases that require multiple interventions to produce long-term successful outcomes.
Healthcare providers can recommend and prioritize lifestyle interventions as effective interventions for patients with AF.
A multidisciplinary team–based approach to the treatment of lifestyle factors in patients with AF can be helpful.
Referral of patients with AF to intensive lifestyle counseling behavior programs may be useful and in an Australian cohort helped to establish and sustain lifestyle changes.
The use of wearable technology has the potential to reinforce lifestyle changes.
Screening and referral for management of sleep apnea and tobacco and alcohol use disorders and surgical options for obesity may be helpful treatment adjuncts for patients with AF.

Summary, Gaps, and Future Directions

AF is strongly associated with increasing rates of obesity, hypertension, DM, sleep apnea, and physical inactivity. The focus on treatment efforts with resource-intensive and costly means, including catheter ablation, device implantation, and medications, fails to address the potentially modifiable causes of AF, many of which can be addressed through noninvasive, nonpharmacological means. Optimal risk factor control has been associated with up to ≈40% of patients maintaining sinus rhythm without the need for rhythm control strategies (LEGACY).13
The existing evidence suggests that improvements in obesity, physical fitness,11 sleep apnea,89 BP, and DM,111 as well as modification of other risk factors such as alcohol consumption, may reduce AF burden, often to a degree that exceeds that of catheter ablation and other invasive approaches. Furthermore, even when patients require disease-directed therapies such as ablation, additional lifestyle interventions can enhance the benefits observed with these therapies. Nevertheless, a need for more evidence from randomized trials remains.
These data represent a call to action within the cardiovascular community to recenter our efforts around lifestyle interventions and aggressive risk factor modification. The medical community should consider the development of patient-focused, multidisciplinary AF programs in which counseling and risk factor intervention are incorporated with judicious application of antiarrhythmic drugs and catheter ablation. Table 10 summarizes the current knowledge and consensus statements for clinical practice. A paucity of randomized studies supporting the effectiveness of specific interventions remains. Future research is needed to establish the effects and generalizability of systematic lifestyle and risk factor modification for AF and to determine the appropriate targets for such therapies.
Table 10. Summary of Current Knowledge and Consensus Statements for Clinical Practice
 Key Summary of Current KnowledgeConsensus Statements: Suggestions for Clinical Practice
GeneralLifestyle risk factors for AF should be considered for chronic diseases that require multiple interventions to produce long-term successful outcomes.Emphasis on lifestyle education and interventions by healthcare professionals can benefit patients with AF.
Best practices include a structured, integrated multidisciplinary approach to integrate lifestyle and risk factor management as an integral part of AF management.
Referral of patients with AF to established intensive lifestyle counseling behavior programs may help to establish and sustain lifestyle changes.
ObesityObesity is a strong risk factor for AF, may be causal for AF, and contributes to the incidence and burden of AF.A 10% reduction in weight, BMI <27 kg/m2, and at least a 2-MET increase in physical activity are reasonable initial goals for reduction in AF burden.
Bariatric surgery could be considered for appropriate candidates.
Physical activityRegular aerobic exercise is effective in reducing AF burden and improving AF-related symptoms and quality of life.
Moderate exercise at doses recommended by the 2018 Physical Activity Guidelines Advisory Committee (150 min/wk of moderate intensity exercise) does not increase the risk of AF and may reduce AF.
Although moderate exercise appears to be beneficial, extreme levels of exercise may be associated with a higher risk of AF.
Encouragement of increased regular moderate exercise may help prevent AF, reduce AF burden, and improve AF-related symptoms and quality of life.
High-intensity/short-duration interval training may increase the time-efficiency of exercise to improve compliance with consistent exercise.
SDB/OSAPatients with AF have a high prevalence of SDB/OSA.
The evidence suggests a dose-response relationship between SDB severity and AF incidence, burden, and response to treatment.
Patients with SDB who receive therapy with CPAP appear to have a lower risk of AF recurrence after AF ablation.
Screening and treatment for concomitant SDB/OSA are important components of lifestyle modification for patients with AF.
DMDM is associated with a higher risk of AF and may predispose to structural, electric, and autonomic changes that support AF development.
Glycemic control has been associated with reduced risk of AF.
Blood sugar control may be an important strategy to reduce recurrent AF burden and should follow current guidelines.
HypertensionHypertension is associated with risk of developing AF.BP management for AF follows current guidelines and includes both lifestyle (obesity, physical inactivity, and diet) and pharmacotherapy.
Other risk factorsAF and HF can cause or exacerbate each other.
Alcohol and smoking are associated with higher AF risk or recurrence.
Lowering or limiting caffeine intake has not been demonstrated to significantly affect AF incidence.
In the presence of HF, optimization of guideline-directed medical therapy (including mineralocorticoid receptor antagonists) and management of contributory lifestyle factors are important in AF management.
Smoking cessation and reduction of alcohol intake are important risk factor interventions to discuss with patients with AF.
AF indicates atrial fibrillation; BMI, body mass index; BP, blood pressure; CPAP, continuous positive airway pressure; DM, diabetes mellitus; HF, heart failure; MET, metabolic equivalent; OSA, obstructive sleep apnea; and SDB, sleep disordered breathing.

Gaps in Knowledge and Future Needs

General

Randomized trials to determine the effects and generalizability of systematic and specific lifestyle and risk factor modification for patients with AF
Randomized trials to assess the appropriate targets for such therapies

Obesity

Further mechanistic studies to define populations at risk
The role of pericardial/epicardial fat accumulation in AF risk and progression
Determination of the most effective weight loss techniques for long-term success in reducing AF
Determination of the long-term effects of weight loss on AF outcomes and whether weight loss itself or concomitant improvements in other risk factors affect AF outcomes

Physical Activity

Effects of high-intensity/short-duration interval training on LA structural and electric remodeling
The role of mind-body exercises in enhancing management of AF

Sleep Apnea

Randomized trials to support recommendations for OSA diagnosis and treatment in patients with AF

Supplemental Material

File (data supplement.pdf)

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Circulation
Pages: e750 - e772
PubMed: 32148086

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History

Published online: 9 March 2020
Published in print: 21 April 2020

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Keywords

  1. AHA Scientific Statements
  2. atrial fibrillation
  3. exercise
  4. lifestyle
  5. obesity
  6. risk factors
  7. weight loss

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Affiliations

Mina K. Chung, MD, FAHA, Chair
Lee L. Eckhardt, MD, Co–Vice Chair
Lin Y. Chen, MD, MS, FAHA, Co–Vice Chair
Haitham M. Ahmed, MD, MPH, FAHA
Rakesh Gopinathannair, MD, MA, FAHA
José A. Joglar, MD, FAHA
Peter A. Noseworthy, MD
Quinn R. Pack, MD, MSc, FAHA
Prashanthan Sanders, MBBS, PhD, FAHA
On behalf of the American Heart Association Electrocardiography and Arrhythmias Committee and Exercise, Cardiac Rehabilitation, and Secondary Prevention Committee of the Council on Clinical Cardiology; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular and Stroke Nursing; and Council on Lifestyle and Cardiometabolic Health

Notes

The American Heart Association makes every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest.
This statement was approved by the American Heart Association Science Advisory and Coordinating Committee on October 28, 2019, and the American Heart Association Executive Committee on January 31, 2020. A copy of the document is available at https://professional.heart.org/statements by using either “Search for Guidelines & Statements” or the “Browse by Topic” area. To purchase additional reprints, call 215-356-2721 or email [email protected].
The online-only Data Supplement is available with this article at Supplemental Material.
The American Heart Association requests that this document be cited as follows: Chung MK, Eckhardt LL, Chen LY, Ahmed HM, Gopinathannair R, Joglar JA, Noseworthy PA, Pack QR, Sanders P, Trulock KM; on behalf of the American Heart Association Electrocardiography and Arrhythmias Committee and Exercise, Cardiac Rehabilitation, and Secondary Prevention Committee of the Council on Clinical Cardiology; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular and Stroke Nursing; and Council on Lifestyle and Cardiometabolic Health. Lifestyle and risk factor modification for reduction of atrial fibrillation: a scientific statement from the American Heart Association. Circulation. 2020;141:e750–e772. doi: 10.1161/CIR.0000000000000748.
The expert peer review of AHA-commissioned documents (eg, scientific statements, clinical practice guidelines, systematic reviews) is conducted by the AHA Office of Science Operations. For more on AHA statements and guidelines development, visit https://professional.heart.org/statements. Select the “Guidelines & Statements” drop-down menu, then click “Publication Development.”
Permissions: Multiple copies, modification, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the American Heart Association. Instructions for obtaining permission are located at https://www.heart.org/permissions. A link to the “Copyright Permissions Request Form” appears in the second paragraph (https://www.heart.org/en/about-us/statements-and-policies/copyright-request-form).

Disclosures

Writing Group Disclosures
Writing Group MemberEmploymentResearch GrantOther Research SupportSpeakers’ Bureau/HonorariaExpert WitnessOwnership InterestConsultant/Advisory BoardOther
Mina K. ChungCleveland ClinicAHA (AHA AF SFRN Center director and project PI for TRIM AF, LRFM and Metformin for AF); NIH (R01 on Atrial Fibrillation Functional Genomics)*NoneNoneNoneNoneNoneNone
Lee L. EckhardtUniversity of Wisconsin–MadisonNoneNoneNoneNoneNoneNoneNone
Lin Y. ChenUniversity of MinnesotaNoneNoneNoneNoneNoneNoneNone
Haitham M. AhmedCleveland ClinicNoneNoneNoneNoneNoneNoneNone
Rakesh GopinathannairKansas City Heart Rhythm InstituteNoneNoneNoneNoneNoneNoneNone
José A. JoglarUT Southwestern Medical CenterNoneNoneNoneNoneNoneNoneNone
Peter A. NoseworthyMayo ClinicNoneNoneNoneNoneNoneNoneNone
Quinn R. PackBaystate Medical CenterNoneNoneNoneNoneNoneNoneNone
Prashanthan SandersUniversity of Adelaide and Royal Adelaide Hospital Centre for Heart Rhythm Disorders (Australia)NoneNoneNoneNoneNoneNoneNone
Kevin M. TrulockCleveland ClinicNoneNoneNoneNoneNoneNoneNone
This table represents the relationships of writing group members that may be perceived as actual or reasonably perceived conflicts of interest as reported on the Disclosure Questionnaire, which all members of the writing group are required to complete and submit. A relationship is considered to be “significant” if (a) the person receives $10 000 or more during any 12-month period, or 5% or more of the person’s gross income; or (b) the person owns 5% or more of the voting stock or share of the entity, or owns $10 000 or more of the fair market value of the entity. A relationship is considered to be “modest” if it is less than “significant” under the preceding definition.
*
Significant.
Reviewer Disclosures
ReviewerEmploymentResearch GrantOther Research SupportSpeakers’ Bureau/HonorariaExpert WitnessOwnership InterestConsultant/Advisory BoardOther
Christine M. AlbertBrigham & Women’s HospitalNoneNoneNoneNoneNoneRoche Diagnostics*None
T. Jared BunchIntermountain Medical Center Heart InstituteBoehringer Ingelheim (role of anticoagulation and risk of stroke and dementia in patients with AF); Boston Scientific (long-term impact of left atrial appendage closure on risk of stroke, dementia, and cognitive decline); Altathera (economic impact of hospitalization for sotalol and dofetilide administration)NoneNoneNoneNoneNoneNone
Brian OlshanskyUniversity of IowaNoneNoneLundbeckLoVechhioNoneAmarin; Boehringer Ingelheim; Respironics*; Sanofi*None
This table represents the relationships of reviewers that may be perceived as actual or reasonably perceived conflicts of interest as reported on the Disclosure Questionnaire, which all reviewers are required to complete and submit. A relationship is considered to be “significant” if (a) the person receives $10 000 or more during any 12-month period, or 5% or more of the person’s gross income; or (b) the person owns 5% or more of the voting stock or share of the entity, or owns $10 000 or more of the fair market value of the entity. A relationship is considered to be “modest” if it is less than “significant” under the preceding definition.
*
Modest.
Significant.

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