Cyclic stroke mortality variations follow sunspot patterns.

Stella Geronikolou,Alexandros Leontitsis,George Chrousos,Dennis Cokkinos,Constantinos Davos,Vasilis Petropoulos

doi:10.12688/f1000research.24794.2

Stella Geronikolou, Alexandros Leontitsis + Show 4 more

Open Access

https://doi.org/10.12688/f1000research.24794.2

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Abstract

Mapping time-structures is a burgeoning scientific field enriching the (P4) medicine models. Local evidence in Mediterranean populations is underinvestigated. The Censused stroke-related death events (D) in the largest East-Mediterranean port (Piraeus), during (1985-1989), when local population had diet(low fat/sugar, proteins and vegetables/fruits daily, and pure olive oil almost exclusively) and genetic homogeneity-later interrupted by the immigration into Greece in 1990; and Sunspot numbers were indexed by Wolf numbers (Rz) (1944-2004), and evaluated using Fast Fourier Analysis and Singular Spectrum Analysis in MATLAB. D were turned with fluctuations >35% in Rz. A non-anthropogenic 6.8 days cycle was recognized. This study may be taken into consideration in future public health planning and chronotherapy evaluations.

Highlights

Strokes are the second leading cause of death and disability worldwide (Mozaffarian et al, 2015)
In this study we focused on monthly stroke mortality events between 1985 and 1989, based on the underlined cause of death data from the archives of Piraeus Civil Registry (Geronikolou & Zikos, 1991)
Sunspot Number, denoted Rz (Zurich number), is defined as: Rz = K(10g + f), where g is the number of sunspot groups visible on the Sun, f represents the total number of individual spots visible; and K is an instrumental factor to take into account differences between observers and observatories

Summary

Introduction

Strokes are the second leading cause of death and disability worldwide (Mozaffarian et al, 2015). Stroke has been previously associated to solar activity (Halgberg et al, 2001; Otsuka et al, 2001; Stoupel et al, 1995; Stoupel et al, 1996). Such activity, as indexed by sunspot numbers, has been generally associated with health (Feigin et al, 2014; Halberg et al, 1998; Petropoulos & Geronikolou, 2005). Relevant chaos and trend analyses in local populations have been limited but strongly suggested (Reinberg et al, 2017)

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