Abstract
There is a strong connection between space weather and fluctuations in technological systems. Some studies also suggest a statistical connection between space weather and subsequent fluctuations in the physiology of living creatures. This connection, however, has remained controversial and difficult to demonstrate. Here we present support for a response of human physiology to forcing from the explosive onset of the largest of space weather events—space storms. We consider a case study with over 16 years of high temporal resolution measurements of human blood pressure (systolic, diastolic) and heart rate variability to search for associations with space weather. We find no statistically significant change in human blood pressure but a statistically significant drop in heart rate during the main phase of space storms. Our empirical findings shed light on how human physiology may respond to exogenous space weather forcing.
Similar content being viewed by others
Notes
Dr. Halberg consented to being identified with these data.
References
Adams JB, Mann ME, Ammann CM (2003) Proxy evidence for an El Nino-like response to volcanic forcing. Nature 426:274–278. https://doi.org/10.1038/nature02101
Baevsky RM et al (1997) Meta-analyzed heart rate variability, exposure to geomagnetic storms, and the risk of ischemic heart disease. Scr Med (Brno) 70:199–204
Breus TK Rapoport S I (2003) Magnitnie bure: Medico-biologicheskie i geofizicheskie aspekti [Magnetic storms: Medico-biological and geophysical aspects], Moscow: Sovetskiy Sport Izdatel'stvo; 192 pp.192
Brier GW, Bradley DA (1964) The lunar synodic period and precipitation in the US. J Atmos Sci 21:386–395
Chapman S (1919) An outline of the theory of magnetic storms. Proc R Soc London Ser A 95:61
Chibisov SM, Cornélissen G, Halberg F (2004) Magnetic storm effect on the circulation of rabbits. Biomed Pharmacother 58:S15–S19. https://doi.org/10.1016/S0753-3322(04)80003-9
Chizhevsky AL (1938) Les épidémies et les perturbations électromagnétiques du milieu extérieur. Éditions Hippocrate, Paris 239 pp
Chizhevsky AL (1940) Cosmobiologie et rthyme du milieu extérieur. In: Holmgren HJ, Ed. Verhandlungen, Zweiten Konferenz der Internationalen Gesellschaft für Biologische Rhythmusforschung, am 25. und 26. August 1939, Utrecht, Holland. Acta Med Scand 108(Suppl.):211–26
Conover WJ (1980) Practical Nonparametric Statistics. Wiley, Hoboken
Cornélissen G, Halberg F, Breus T, Syutkina EV, Baevsky R, Weydahl A, Watanabe Y, Otsuka K, Siegelova J, Fiser B, Bakken EE (2002) Non-photic solar associations of heart rate variability and myocardial infarction. J Atmos Solar-Terr Phys 64:707–720. https://doi.org/10.1016/S1364-6826(02)00032-9
Cornélissen G, Halberg F, Bakken EE et al (2004) 100 or 30 years after Janeway or Bartter, Healthwatch helps avoid “flying blind”. Biomed Pharmacother 58(Suppl 1):S69–S86
Delp MD, Charvat JM, Limoli CL, Globus RK, Ghosh P (2016) Apollo lunar astronauts show higher cardiovascular disease mortality: possible deep space radiation effects on the vascular endothelium. Sci Rep 6:29901. https://doi.org/10.1038/srep29901
Derrac J, García S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm and Evolutionary Computation 1(1):3–18. https://doi.org/10.1016/j.swevo.2011.02.002
Dobias P, Wanliss JA (2009) Intermittency of storms and substorms: is it related to the critical behaviour? Ann Geophys 27:2011–2018
Fay MP, Proschan MA (2010) Wilcoxon–Mann–Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. Stat Surv 4:1–39. https://doi.org/10.1214/09-SS051
Freeman MP, Morley SK (2009) No evidence for externally triggered substorms based on superposed epoch analysis of IMF B z. Geophys Res Lett 36:L21101. https://doi.org/10.1029/2009GL040621
Gonzalez WD, Joselyn JA, Kamide Y, Kroehl HW, Rostoker G, Tsurutani BT, Vasyliunas VN (1994) What is a geomagnetic storm? J Geophys Res 99:5771
Gumarova L, Cornélissen G, Hillman D, Halberg F (2013) Geographically selective assortment of cycles in pandemics: meta-analysis of data collected by Chizhevsky. Epidemiol Infect 141(10):2173–2184. https://doi.org/10.1017/S0950268812002804
Gumarova L, Halberg F, Cornelissen G (2014) Effect of examination on the circadian structure of ECG parameters. World Heart J 6(1):13–20
Halberg F et al (2006) Chronobiology’s progress. Part I, season’s appreciations 2004–2005: time-, frequency-, phase-, variable-, individual-, age- and site-specific chronomics. J Appl Biomed 4:1–38
Haurwitz MW, Brier GW (1981) A critique of the superposed epoch analysis method: Its application to solar-weather relations. Mon Weather Rev 109(10):2074–2079
Hutchinson J, Wright D, Milan S (2011) Geomagnetic storms over the last solar cycle: a superposed epoch analysis. J Geophys Res. https://doi.org/10.1029/2011JA016463
Kleimenova NG, Kozyreva OV, Breus TK, Rapoport SI (2008) Seasonal variations in myocardial infarctions and the possible biotropic influence of short-period geomagnetic pulsations on the human cardiovascular system. Biophysics 52(6):625–631. https://doi.org/10.1134/S0006350907060152
Lilliefors HW (1969) On the Kolmogorov-Smirnov test for the exponential distribution with mean unknown. J Am Stat Assoc 64:387–389
Mass CF, Portman DA (1989) Major volcanic eruptions and climate: a critical evaluation. J Clim 2:566–593. https://doi.org/10.1175/1520-0442(1989)002<0566:MVEACA>2.0.CO;2
Mavromichalaki H, Papailiou M, Dimitrova S, Babayev ES, Loucas P (2012) Space weather hazards and their impact on human cardio-health state parameters on Earth. Nat Hazards 64(2):1447–1459. https://doi.org/10.1007/s11069-012-0306-2
Mitsutake G, Otsuka K, Oinuma S, Ferguson I, Cornélissen G, Wanliss J, Halberg F (2004) Does exposure to an artificial ULF magnetic field affect blood pressure, heart rate variability and mood? Biomed Pharmacother 58(Suppl 1):S20–S27. https://doi.org/10.1016/S0753-3322(04)80004-0
Otsuka K et al (2003) Chronomics for chronoastrobiology with immediate spin-offs for life quality and longevity. Biomedicine & Pharmacotherapy Vol. 57(Suppl. 1):1–18. https://doi.org/10.1016/j.biopha.2003.08.018
Politis DN, White H, Patton AJ (2009) Correction: automatic block-length selection for the dependent bootstrap. Econ Rev 28(4):372–375
Rao MP et al (2017) European and Mediterranean hydroclimate responses to tropical volcanic forcing over the last millennium. Geophys Res Lett 44:5104–5112. https://doi.org/10.1002/2017GL073057
Singh, Y, Badruddin, P (2006). Statistical considerations in superposed epoch analysis and its applications in space research. J. Atmos. Solar-Terr. Phys. 68:803-813, doi:10.1016/j.jastp.2006.01.007.
Swetnam TW, Betancourt JL (1990) Fire-southern oscillation relations in the southwestern United States. Science 24:1017–1020
Vichare G, Alex S, Lakhina GS (2005) Some characteristics of intense geomagnetic storms and their energy budget. J Geophys Res 110:A03204. https://doi.org/10.1029/2004JA010418
Wanliss JA (2005) Statistical precursors to space storm onset, in multiscale coupling of Sun-Earth Processes, edited by A. T. Y Lui, Y. Kamide and G. Consolini, Elsevier
Wanliss JA, Reynolds MA (2003) Measurement of the stochasticity of low-latitude geomagnetic temporal variations. Ann Geophys 21:1–6
Wanliss JA, Showalter KM (2006) High-resolution global storm index: Dst versus SYM-H. J Geophys Res 111:A02202. https://doi.org/10.1029/2005JA011034
Yokoyama, N, Kamide Y (1997), Statistical nature of geomagnetic storms, J. Geophys. Res., 102(A7), 14215–14222, doi:10.1029/97JA00903
Zhang J-C, Liemohn MW, Kozyra JU, Thomsen MF, Elliott HA, Weygand JM (2006) A statistical comparison of solar wind sources of moderate and intense geomagnetic storms at solar minimum and maximum. J Geophys Res 111:A01104. https://doi.org/10.1029/2005JA011065
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wanliss, J., Cornélissen, G., Halberg, F. et al. Superposed epoch analysis of physiological fluctuations: possible space weather connections. Int J Biometeorol 62, 449–457 (2018). https://doi.org/10.1007/s00484-017-1453-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00484-017-1453-7