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Zhang Y, Wang X, Pathiravasan CH, Spartano NL, Lin H, Borrelli B, Benjamin EJ, McManus DD, Larson MG, Vasan RS, Shah RV, Lewis GD, Liu C, Murabito JM, Nayor M. Association of Smartwatch-Based Heart Rate and Physical Activity With Cardiorespiratory Fitness Measures in the Community: Cohort Study. J Med Internet Res 2024; 26:e56676. [PMID: 38870519 PMCID: PMC11216017 DOI: 10.2196/56676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/11/2024] [Accepted: 03/20/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Resting heart rate (HR) and routine physical activity are associated with cardiorespiratory fitness levels. Commercial smartwatches permit remote HR monitoring and step count recording in real-world settings over long periods of time, but the relationship between smartwatch-measured HR and daily steps to cardiorespiratory fitness remains incompletely characterized in the community. OBJECTIVE This study aimed to examine the association of nonactive HR and daily steps measured by a smartwatch with a multidimensional fitness assessment via cardiopulmonary exercise testing (CPET) among participants in the electronic Framingham Heart Study. METHODS Electronic Framingham Heart Study participants were enrolled in a research examination (2016-2019) and provided with a study smartwatch that collected longitudinal HR and physical activity data for up to 3 years. At the same examination, the participants underwent CPET on a cycle ergometer. Multivariable linear models were used to test the association of CPET indices with nonactive HR and daily steps from the smartwatch. RESULTS We included 662 participants (mean age 53, SD 9 years; n=391, 59% women, n=599, 91% White; mean nonactive HR 73, SD 6 beats per minute) with a median of 1836 (IQR 889-3559) HR records and a median of 128 (IQR 65-227) watch-wearing days for each individual. In multivariable-adjusted models, lower nonactive HR and higher daily steps were associated with higher peak oxygen uptake (VO2), % predicted peak VO2, and VO2 at the ventilatory anaerobic threshold, with false discovery rate (FDR)-adjusted P values <.001 for all. Reductions of 2.4 beats per minute in nonactive HR, or increases of nearly 1000 daily steps, corresponded to a 1.3 mL/kg/min higher peak VO2. In addition, ventilatory efficiency (VE/VCO2; FDR-adjusted P=.009), % predicted maximum HR (FDR-adjusted P<.001), and systolic blood pressure-to-workload slope (FDR-adjusted P=.01) were associated with nonactive HR but not associated with daily steps. CONCLUSIONS Our findings suggest that smartwatch-based assessments are associated with a broad array of cardiorespiratory fitness responses in the community, including measures of global fitness (peak VO2), ventilatory efficiency, and blood pressure response to exercise. Metrics captured by wearable devices offer a valuable opportunity to use extensive data on health factors and behaviors to provide a window into individual cardiovascular fitness levels.
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Affiliation(s)
- Yuankai Zhang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
| | - Xuzhi Wang
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
| | | | - Nicole L Spartano
- Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Honghuang Lin
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Belinda Borrelli
- Center for Behavioral Science Research, Department of Health Policy & Health Services Research, Boston University, Henry M. Goldman School of Dental Medicine, Boston, MA, United States
| | - Emelia J Benjamin
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States
- Section of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Departments of Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine and School of Public Health, Boston, MA, United States
| | - David D McManus
- Cardiology Division, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States
- Department of Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Martin G Larson
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States
| | - Ramachandran S Vasan
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States
- Section of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Departments of Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine and School of Public Health, Boston, MA, United States
| | - Ravi V Shah
- Cardiology Division, Vanderbilt Translational and Clinical Research Center, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Gregory D Lewis
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Pulmonary Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Chunyu Liu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States
| | - Joanne M Murabito
- Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, United States
- Section of General Internal Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
| | - Matthew Nayor
- Sections of Cardiology and Preventive Medicine and Epidemiology, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States
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Plaza-Florido A, Ruiz JR, Alcantara JMA. Resting heart rate but not heart rate variability is associated with the normal-weight obesity phenotype. Am J Hum Biol 2024; 36:e24043. [PMID: 38275139 DOI: 10.1002/ajhb.24043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/12/2024] [Accepted: 01/13/2024] [Indexed: 01/27/2024] Open
Abstract
OBJECTIVE To determine differences in resting heart rate variability (HRV) and heart rate (HR) between young adults with normal-weight obesity (NWO) and normal-weight lean (NWL). METHODS A total of 65 normal-weight individuals (18-25 years old, 50 women, body mass index 18.5 to 24.9 kg/m2) were included in this cross-sectional study. Body fat percentage was determined using a whole-body dual energy x-ray absorptiometry scanner. Resting HRV and HR were assessed with the Polar RS800CX. Forty-one participants were classified as NWO and 24 NWL using cutoff points for body fat percentage (33.3% for women and 23.1% for men). RESULTS There were no differences in HRV between NWO and NWL groups (all p > .05). HR was higher in NWO (mean 70 beats per minute [bpm], standard deviation [SD] 8) than in NWL adults (mean 65 bpm, SD 10), the adjusted mean difference 5 bpm (95% CI, 0 to 10 bpm). CONCLUSION HR is a noninvasive biomarker and relatively cheap, fast, and easy to measure that could detect "apparently healthy" young individuals with an adverse cardiovascular disease risk profile despite presenting a normal body weight.
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Affiliation(s)
- Abel Plaza-Florido
- Pediatric Exercise and Genomics Research Center, Department of Pediatrics, School of Medicine, University of California Irvine, Irvine, USA
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | - Jonatan R Ruiz
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Biosanitaria, ibs.Granada, Granada, Spain
| | - Juan M A Alcantara
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
- Department of Health Sciences, Institute for Innovation & Sustainable Food Chain Development, Public University of Navarre, Pamplona, Spain
- Navarra Institute for Health Research, IdiSNA, Pamplona, Spain
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Cusano A, Inclan PM, Jackson T, Weiss LJ, Barnes RP, Kinderknecht JJ, Taylor SA, Rodeo SA. Team Approach: Diagnosis, Management, and Prevention of Sudden Cardiac Arrest in the Athlete. JBJS Rev 2024; 12:01874474-202403000-00002. [PMID: 38446913 DOI: 10.2106/jbjs.rvw.23.00225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
» Sudden cardiac events during sports competition are rare but tragic occurrences that require a timely, comprehensive response by well-prepared athletic trainers and medical providers. This sequence should prioritize prompt emergency medical system activation, immediate initiation of cardiopulmonary resuscitation (CPR), automated early defibrillation (AED), and comprehensive advanced life support efforts.» Exercise-induced cardiac remodeling, referred to as the "athlete's heart," refers to a host of adaptive changes that increase cardiac chamber size and wall thickness to allow for greater pressures and volumes during exercise. This remodeling phenotype may overlap with other inherited cardiomyopathies and cardiac abnormalities, which can complicate clinical care. The long-term implications of this electrical and structural remodeling on cardiac function are unknown.» Although the best screening strategies to optimize primary prevention of sudden cardiac arrest is an evolving topic, the effectiveness of CPR and early defibrillation use in treating out-of-hospital sudden cardiac arrest has been well-established, despite their reported underuse.
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Affiliation(s)
- Antonio Cusano
- Sports Medicine and Shoulder Service, Hospital for Special Surgery, New York, New York
| | - Paul M Inclan
- Sports Medicine and Shoulder Service, Hospital for Special Surgery, New York, New York
| | - Tyler Jackson
- Primary Sports Medicine, Hospital for Special Surgery, New York, New York
| | - Leigh J Weiss
- New York Football Giants, East Rutherford, New Jersey
| | | | | | - Samuel A Taylor
- Sports Medicine and Shoulder Service, Hospital for Special Surgery, New York, New York
| | - Scott A Rodeo
- Sports Medicine and Shoulder Service, Hospital for Special Surgery, New York, New York
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Heart Rate Variability and Cardiorespiratory Fitness in Youth Populations: The Impact of Heart Rate on Data Analysis. J Hum Kinet 2023; 86:1-5. [PMID: 37181258 PMCID: PMC10170545 DOI: 10.5114/jhk/159581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Abstract
The positive association between heart rate variability and cardiorespiratory fitness in youth populations is unclear. In this regard, several methodological aspects related to heart rate variability analysis could partially explain the disagreement between studies. To the best of the authors’ knowledge, the influence of the heart rate on data analysis is unclear. In the present short communication, we discuss the impact of the heart rate on the associations between heart rate variability and cardiorespiratory fitness in youth. In addition, we proposed some aspects that should be considered for statistical analyses when the relationship between heart rate variability and cardiorespiratory fitness is studied. Finally, we should acknowledge that these recommendations may be applicable for other health-related outcomes different than cardiorespiratory fitness (e.g., inflammatory markers, cognition, cardiovascular disease status).
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Associations between Intra-Assessment Resting Metabolic Rate Variability and Health-Related Factors. Metabolites 2022; 12:metabo12121218. [PMID: 36557256 PMCID: PMC9781460 DOI: 10.3390/metabo12121218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 11/28/2022] [Accepted: 12/01/2022] [Indexed: 12/11/2022] Open
Abstract
In humans, the variation in resting metabolic rate (RMR) might be associated with health-related factors, as suggested by previous studies. This study explored whether the intra-assessment RMR variability (expressed as a coefficient of variation (CV; %)) is similar in men and women and if it is similarly associated with diverse health-related factors. The RMR of 107 young, and relatively healthy adults, was assessed using indirect calorimetry. Then, the CV for volumes of oxygen consumption (VO2) and carbon dioxide production (VCO2), respiratory exchange ratio (RER), and resting energy expenditure (REE) were computed as indicators of intra-assessment RMR variability. Body composition, cardiorespiratory fitness (peak VO2 uptake), circulating cardiometabolic risk factors, and heart rate and its variability (HR and HRV) were assessed. Men presented higher CVs for VO2, VCO2, and REE (all p ≤ 0.001) compared to women. Furthermore, in men, the intra-assessment RER variability was associated with vagal-related HRV parameters and with mean HR (standardized β = −0.36, −0.38, and 0.41, respectively; all p < 0.04). In contrast, no associations were observed in women. In conclusion, men exhibited higher variability (CVs for VO2, VCO2, and REE) compared to women. The CV for RER could be a potential marker of cardiometabolic risk in young men.
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Self-recorded heart rate variability profiles are associated with health and lifestyle markers in young adults. Clin Auton Res 2022; 32:507-518. [PMID: 35999422 DOI: 10.1007/s10286-022-00884-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/04/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE To quantify associations between self-recorded heart rate variability (HRV) profiles and various health and lifestyle markers in young adults. METHODS Otherwise healthy volunteers (n = 40, 50% male) recorded 60-s, post-waking HRV with a cost-free mobile application in supine and standing positions for 7 days. The 7-day average and coefficient of variation (CV, reflects daily fluctuation) for the mean RR interval and root mean square of successive differences (LnRMSSD) were assessed. 7-day sleep duration and physical activity profiles were characterized via wrist-worn accelerometer. Subsequent laboratory assessments included aerobic fitness ([Formula: see text]O2peak) and markers of cardiovascular, metabolic, and psychoemotional health. Associations were evaluated before and after [Formula: see text]O2peak adjustment. RESULTS Bivariate correlations (P < 0.05) demonstrated that higher 7-day averages and/or lower CV values were associated with higher activity levels and superior cardiovascular (lower systolic and diastolic blood pressure [BP] and aortic stiffness [cf-PWV]), metabolic (lower body fat percentage, fasting glucose, and low-density lipoprotein cholesterol [LDL-C]), and psychoemotional health (lower perceived stress) markers, with some variation between sexes and recording position. In males, associations between HRV parameters and cf-PWV remained significant following [Formula: see text]O2peak adjustment (P < 0.05). In females, HRV parameters were associated (P < 0.05) with numerous cardiovascular (systolic and diastolic BP, cf-PWV) and metabolic (fasting glucose and LDL-C) parameters following [Formula: see text]O2peak adjustment. CONCLUSIONS Higher or more stable supine and standing HRV were generally associated with superior health and lifestyle markers in males and females. These findings lay groundwork for future investigation into the usefulness of self-recorded ultra-short HRV as a health-promoting behavior-modification tool in young adults.
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La Gerche A, Wasfy MM, Brosnan MJ, Claessen G, Fatkin D, Heidbuchel H, Baggish AL, Kovacic JC. The Athlete's Heart-Challenges and Controversies: JACC Focus Seminar 4/4. J Am Coll Cardiol 2022; 80:1346-1362. [PMID: 36075838 DOI: 10.1016/j.jacc.2022.07.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 07/18/2022] [Accepted: 07/21/2022] [Indexed: 12/11/2022]
Abstract
Regular exercise promotes structural, functional, and electrical remodeling of the heart, often referred to as the "athlete's heart," with intense endurance sports being associated with the greatest degree of cardiac remodeling. However, the extremes of exercise-induced cardiac remodeling are potentially associated with uncommon side effects. Atrial fibrillation is more common among endurance athletes and there is speculation that other arrhythmias may also be more prevalent. It is yet to be determined whether this arrhythmic susceptibility is a result of extreme exercise remodeling, genetic predisposition, or other factors. Gender may have the greatest influence on the cardiac response to exercise, but there has been far too little research directed at understanding differences in the sportsman's vs sportswoman's heart. Here in part 4 of a 4-part seminar series, the controversies and ambiguities regarding the athlete's heart, and in particular, its arrhythmic predisposition, genetic, and gender influences are reviewed in depth.
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Affiliation(s)
- Andre La Gerche
- Clinical Research Domain, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; National Centre for Sports Cardiology, Fitzroy, Victoria, Australia; Cardiology Department, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia.
| | - Meagan M Wasfy
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Maria J Brosnan
- National Centre for Sports Cardiology, Fitzroy, Victoria, Australia; Cardiology Department, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Guido Claessen
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium; Department of Cardiovascular Diseases, University Hospitals Leuven, Leuven, Belgium
| | - Diane Fatkin
- Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Kensington, New South Wales, Australia; Cardiology Department, St Vincent's Hospital, Darlinghurst, New South Wales, Australia
| | - Hein Heidbuchel
- Antwerp University Hospital, Department of Cardiology, Antwerp, Belgium; Cardiovascular Sciences, Antwerp University, Antwerp, Belgium
| | - Aaron L Baggish
- Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Performance Program, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jason C Kovacic
- Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia; School of Clinical Medicine, Faculty of Medicine and Health, UNSW Sydney, Kensington, New South Wales, Australia; Cardiology Department, St Vincent's Hospital, Darlinghurst, New South Wales, Australia; Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
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