Heart Rate Variability and Chronotype in Young Adult Men
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Participants
2.3. Laboratory Visits
2.4. Chronotype—MEQ
2.5. HRV
2.6. Statistical Analysis
3. Results
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Moore, R.Y. Circadian rhythms: Basic neurobiology and clinical applications. Annu. Rev. Med. 1997, 48, 253–266. [Google Scholar] [CrossRef] [PubMed]
- Reilly, T.; Waterhouse, J. Sports performance: Is there evidence that the body clock plays a role? Eur. J. Appl. Physiol. 2009, 106, 321–332. [Google Scholar] [CrossRef] [PubMed]
- Manoogian, E.N.C.; Panda, S. Circadian rhythms, time-restricted feeding, and healthy aging. Ageing Res. Rev. 2017, 39, 59–67. [Google Scholar] [CrossRef] [PubMed]
- Mohawk, J.A.; Green, C.B.; Takahashi, J.S. Central and peripheral circadian clocks in mammals. Annu. Rev. Neurosci. 2012, 35, 445–462. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Thosar, S.S.; Butler, M.P.; Shea, S.A. Role of the circadian system in cardiovascular disease. J. Clin. Investig. 2018, 128, 2157–2167. [Google Scholar] [CrossRef] [Green Version]
- Degaute, J.P.; van de Borne, P.; Linkowski, P.; Van Cauter, E. Quantitative analysis of the 24-hour blood pressure and heart rate patterns in young men. Hypertension 1991, 18, 199–210. [Google Scholar] [CrossRef] [Green Version]
- Kario, K.; Hoshide, S.; Mizuno, H.; Kabutoya, T.; Nishizawa, M.; Yoshida, T.; Abe, H.; Katsuya, T.; Fujita, Y.; Okazaki, O.; et al. Nighttime Blood Pressure Phenotype and Cardiovascular Prognosis: Practitioner-Based Nationwide JAMP Study. Circulation 2020, 142, 1810–1820. [Google Scholar] [CrossRef]
- Salles, G.F.; Ribeiro, F.M.; Guimarães, G.M.; Muxfeldt, E.S.; Cardoso, C.R. A reduced heart rate variability is independently associated with a blunted nocturnal blood pressure fall in patients with resistant hypertension. J. Hypertens. 2014, 32, 644–651. [Google Scholar] [CrossRef]
- Malik, M.; Bigger, J.T.; Camm, A.J.; Kleiger, R.E.; Malliani, A.; Moss, A.J.; Schwartz, P.J. Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. Eur. Heart J. 1996, 17, 354–381. [Google Scholar] [CrossRef] [Green Version]
- Massaro, S.; Pecchia, L. Heart rate variability (HRV) analysis: A methodology for organizational neuroscience. Organ. Res. Methods 2019, 22, 354–393. [Google Scholar] [CrossRef]
- Shaffer, F.; Ginsberg, J.P. An Overview of Heart Rate Variability Metrics and Norms. Front. Public Health 2017, 5, 258. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Schroeder, E.B.; Liao, D.; Chambless, L.E.; Prineas, R.J.; Evans, G.W.; Heiss, G. Hypertension, blood pressure, and heart rate variability: The Atherosclerosis Risk in Communities (ARIC) study. Hypertension 2003, 42, 1106–1111. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Singh, J.P.; Larson, M.G.; O’Donnell, C.J.; Wilson, P.F.; Tsuji, H.; Lloyd-Jones, D.M.; Levy, D. Association of hyperglycemia with reduced heart rate variability (The Framingham Heart Study). Am. J. Cardiol. 2000, 86, 309–312. [Google Scholar] [CrossRef] [PubMed]
- Sammito, S.; Sammito, W.; Böckelmann, I. The circadian rhythm of heart rate variability. Biol. Rhythm Res. 2016, 47, 717–730. [Google Scholar] [CrossRef]
- Burger, A.J.; Charlamb, M.; Sherman, H.B. Circadian patterns of heart rate variability in normals, chronic stable angina and diabetes mellitus. Int. J. Cardiol. 1999, 71, 41–48. [Google Scholar] [CrossRef]
- Weber, C.S.; Thayer, J.F.; Rudat, M.; Wirtz, P.H.; Zimmermann-Viehoff, F.; Thomas, A.; Perschel, F.H.; Arck, P.C.; Deter, H.C. Low vagal tone is associated with impaired post stress recovery of cardiovascular, endocrine, and immune markers. Eur. J. Appl. Physiol. 2010, 109, 201–211. [Google Scholar] [CrossRef] [Green Version]
- Horne, J.A.; Ostberg, O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int. J. Chronobiol. 1976, 4, 97–110. [Google Scholar] [PubMed]
- Merikanto, I.; Lahti, T.; Puolijoki, H.; Vanhala, M.; Peltonen, M.; Laatikainen, T.; Vartiainen, E.; Salomaa, V.; Kronholm, E.; Partonen, T. Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes. Chronobiol. Int. 2013, 30, 470–477. [Google Scholar] [CrossRef]
- Knutson, K.L.; von Schantz, M. Associations between chronotype, morbidity and mortality in the UK Biobank cohort. Chronobiol. Int. 2018, 35, 1045–1053. [Google Scholar] [CrossRef] [Green Version]
- Honkalampi, K.; Järvelin-Pasanen, S.; Tarvainen, M.P.; Saaranen, T.; Vauhkonen, A.; Kupari, S.; Perkiö-Mäkelä, M.; Räsänen, K.; Oksanen, T. Heart rate variability and chronotype—A systematic review. Chronobiol. Int. 2021, 38, 1786–1796. [Google Scholar] [CrossRef]
- Grosicki, G.J.; Culver, M.N.; McMillan, N.K.; Cross, B.L.; Montoye, A.H.K.; Riemann, B.L.; Flatt, A.A. Self-recorded heart rate variability profiles are associated with health and lifestyle markers in young adults. Clin. Auton Res. 2022, 32, 507–518. [Google Scholar] [CrossRef] [PubMed]
- Faust, L.; Feldman, K.; Mattingly, S.M.; Hachen, D.; V Chawla, N. Deviations from normal bedtimes are associated with short-term increases in resting heart rate. NPJ Digit. Med. 2020, 3, 39. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yoshizaki, T.; Tada, Y.; Hida, A.; Sunami, A.; Yokoyama, Y.; Yasuda, J.; Nakai, A.; Togo, F.; Kawano, Y. Effects of feeding schedule changes on the circadian phase of the cardiac autonomic nervous system and serum lipid levels. Eur. J. Appl. Physiol. 2013, 113, 2603–2611. [Google Scholar] [CrossRef] [PubMed]
- Christiani, M.; Grosicki, G.J.; Flatt, A.A. Cardiac-autonomic and hemodynamic responses to a hypertonic, sugar-sweetened sports beverage in physically active men. Appl. Physiol. Nutr. Metab. 2021, 46, 1189–1195. [Google Scholar] [CrossRef] [PubMed]
- Lu, C.L.; Zou, X.; Orr, W.C.; Chen, J.D. Postprandial changes of sympathovagal balance measured by heart rate variability. Dig. Dis. Sci. 1999, 44, 857–861. [Google Scholar] [CrossRef]
- Alalyan, M.J.; Alkahtani, S.A.; Habib, S.S.; Flatt, A.A. Suitability of Ultra-Short-Term Heart Rate Variability in Military Trainees. Healthcare 2020, 8, 409. [Google Scholar] [CrossRef] [PubMed]
- Alkahtani, S.; Flatt, A.A.; Kanas, J.; Aldyel, A.; Habib, S.S. Role of Type and Volume of Recreational Physical Activity on Heart Rate Variability in Men. Int. J. Environ. Res. Public Health 2020, 17, 2719. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Alexander, J.; Sovakova, M.; Rena, G. Factors affecting resting heart rate in free-living healthy humans. Digit. Health 2022, 8, 20552076221129075. [Google Scholar] [CrossRef]
- Penttilä, J.; Helminen, A.; Jartti, T.; Kuusela, T.; Huikuri, H.V.; Tulppo, M.P.; Coffeng, R.; Scheinin, H. Time domain, geometrical and frequency domain analysis of cardiac vagal outflow: Effects of various respiratory patterns. Clin. Physiol. 2001, 21, 365–376. [Google Scholar] [CrossRef]
- Hopkins, W.G.; Marshall, S.W.; Batterham, A.M.; Hanin, J. Progressive statistics for studies in sports medicine and exercise science. Med. Sci. Sport. Exerc. 2009, 41, 3–13. [Google Scholar] [CrossRef] [PubMed]
- Izawa, S.; Sugaya, N.; Yamamoto, R.; Ogawa, N.; Nomura, S. The cortisol awakening response and autonomic nervous system activity during nocturnal and early morning periods. Neuro Endocrinol. Lett. 2010, 31, 685–689. [Google Scholar]
- Petrowski, K.; Schmalbach, B.; Niedling, M.; Stalder, T. The effects of post-awakening light exposure on the cortisol awakening response in healthy male individuals. Psychoneuroendocrinology 2019, 108, 28–34. [Google Scholar] [CrossRef] [PubMed]
- Bonnemeier, H.; Richardt, G.; Potratz, J.; Wiegand, U.K.; Brandes, A.; Kluge, N.; Katus, H.A. Circadian profile of cardiac autonomic nervous modulation in healthy subjects: Differing effects of aging and gender on heart rate variability. J. Cardiovasc. Electrophysiol. 2003, 14, 791–799. [Google Scholar] [CrossRef] [PubMed]
- Lewis, M.J.; McNarry, M.A. Influence of age and aerobic fitness on the multifractal characteristics of electrocardiographic RR time-series. Front. Physiol. 2013, 4, 100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- McNarry, M.A.; Lewis, M.J. Interaction between age and aerobic fitness in determining heart rate dynamics. Physiol. Meas. 2012, 33, 901–914. [Google Scholar] [CrossRef] [PubMed]
- Castaldo, R.; Melillo, P.; Bracale, U.; Caserta, M.; Triassi, M.; Pecchia, L. Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis. Biomed. Signal. Process. Control 2015, 18, 370–377. [Google Scholar] [CrossRef] [Green Version]
- Murray, N.P.; Russoniello, C. Acute physical activity on cognitive function: A heart rate variability examination. Appl. Psychophysiol. Biofeedback 2012, 37, 219–227. [Google Scholar] [CrossRef]
- Kräuchi, K.; Wirz-Justice, A. Circadian rhythm of heat production, heart rate, and skin and core temperature under unmasking conditions in men. Am. J. Physiol. 1994, 267, R819–R829. [Google Scholar] [CrossRef] [PubMed]
- Shaffer, F.; McCraty, R.; Zerr, C.L. A healthy heart is not a metronome: An integrative review of the heart’s anatomy and heart rate variability. Front. Psychol. 2014, 5, 1040. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Castaldo, R.; Montesinos, L.; Melillo, P.; Massaro, S.; Pecchia, L. To What Extent Can We Shorten HRV Analysis in Wearable Sensing? A Case Study on Mental Stress Detection. In EMBEC & NBC 2017; Springer: Berlin/Heidelberg, Germany, 2017; pp. 643–646. [Google Scholar]
- Malpas, S.C.; Purdie, G.L. Circadian variation of heart rate variability. Cardiovasc. Res. 1990, 24, 210–213. [Google Scholar] [CrossRef]
- Palatini, P.; Reboldi, G.; Saladini, F.; Angeli, F.; Mos, L.; Rattazzi, M.; Vriz, O.; Verdecchia, P. Dipping pattern and short-term blood pressure variability are stronger predictors of cardiovascular events than average 24-h blood pressure in young hypertensive subjects. Eur. J. Prev. Cardiol. 2022, 29, 1377–1386. [Google Scholar] [CrossRef] [PubMed]
- Dekker, J.M.; Crow, R.S.; Folsom, A.R.; Hannan, P.J.; Liao, D.; Swenne, C.A.; Schouten, E.G. Low heart rate variability in a 2-minute rhythm strip predicts risk of coronary heart disease and mortality from several causes: The ARIC Study. Atherosclerosis Risk In Communities. Circulation 2000, 102, 1239–1244. [Google Scholar] [CrossRef] [PubMed]
- Bonato, M.; Agnello, L.; Galasso, L.; Montaruli, A.; Roveda, E.; Merati, G.; La Torre, A.; Vitale, J.A. Acute Modification of Cardiac Autonomic Function of High-Intensity Interval Training in Collegiate Male Soccer Players with Different Chronotype: A Cross-Over Study. J. Sport. Sci. Med. 2017, 16, 286–294. [Google Scholar]
- Amano, R.; Karashima, A.; Motoike, I.; Katayama, N.; Kinoshita, K.; Nakao, M. Relationship between Dynamics of Physiological Signals and Subjective Quality of Life and Its Lifestyle Dependency. In Proceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 23–27 July 2019; Volume 2019, pp. 546–549. [Google Scholar] [CrossRef]
- Fantozzi, M.P.T.; Artoni, F.; Faraguna, U. Heart rate variability at bedtime predicts subsequent sleep features. In Proceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 23–27 July 2019; Volume 2019, pp. 6784–6788. [Google Scholar] [CrossRef]
Participant Characteristics | Mean | ±Standard Deviation |
---|---|---|
Age (years) | 24.6 | 3.4 |
Height (cm) | 172.9 | 6.9 |
Weight (kg) | 73.4 | 10.1 |
BMI (kg/m2) | 25.3 | 2.8 |
MEQ (au) | 48.8 | 11.6 |
Model P | R2Adj | βStd | P | |
---|---|---|---|---|
∆RMSSD | <0.001 | 0.590 | - | - |
MEQ | 0.024 | 0.878 | ||
BMI | −0.126 | 0.389 | ||
Age | −0.028 | 0.840 | ||
Morning RMSSD | −0.811 | <0.0001 | ||
∆RMSSD% | 0.088 | 0.203 | - | - |
MEQ | 0.087 | 0.692 | ||
BMI | −0.044 | 0.829 | ||
Age | −0.024 | 0.905 | ||
Morning RMSSD | −0.544 | 0.018 | ||
∆SDNN | <0.001 | 0.652 | - | - |
MEQ | −0.048 | 0.737 | ||
BMI | 0.037 | 0.782 | ||
Age | −0.070 | 0.592 | ||
Morning SDNN | −0.823 | <0.0001 | ||
∆SDNN% | 0.004 | 0.466 | - | - |
MEQ | −0.176 | 0.322 | ||
BMI | 0.145 | 0.386 | ||
Age | −0.013 | 0.931 | ||
Morning SDNN | −0.674 | <0.001 |
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Vondrasek, J.D.; Alkahtani, S.A.; Al-Hudaib, A.A.; Habib, S.S.; Al-Masri, A.A.; Grosicki, G.J.; Flatt, A.A. Heart Rate Variability and Chronotype in Young Adult Men. Healthcare 2022, 10, 2465. https://doi.org/10.3390/healthcare10122465
Vondrasek JD, Alkahtani SA, Al-Hudaib AA, Habib SS, Al-Masri AA, Grosicki GJ, Flatt AA. Heart Rate Variability and Chronotype in Young Adult Men. Healthcare. 2022; 10(12):2465. https://doi.org/10.3390/healthcare10122465
Chicago/Turabian StyleVondrasek, Joseph D., Shaea A. Alkahtani, Abdulrahman A. Al-Hudaib, Syed Shahid Habib, Abeer A. Al-Masri, Gregory J. Grosicki, and Andrew A. Flatt. 2022. "Heart Rate Variability and Chronotype in Young Adult Men" Healthcare 10, no. 12: 2465. https://doi.org/10.3390/healthcare10122465