Evidence map›Paper›PMID 29030696›Full record

ArticleInternational journal of biometeorology2018

Superposed epoch analysis of physiological fluctuations: possible space weather connections.

James Wanliss, Germaine Cornélissen, Franz Halberg, Denzel Brown, Brien Washington

Abstract read
In one paragraph

Article in International journal of biometeorology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

James WanlissDepartment of Physics and Computer Science, Presbyterian College, Clinton, SC, USA. wanliss@hotmail.com.
Germaine CornélissenDepartment of Integrative Biology and Physiology, Halberg Chronobiology Center, University of Minnesota, Minneapolis, MN, USA.
Franz HalbergDepartment of Integrative Biology and Physiology, Halberg Chronobiology Center, University of Minnesota, Minneapolis, MN, USA.
Denzel BrownDepartment of Physics and Computer Science, Presbyterian College, Clinton, SC, USA.
Brien WashingtonDepartment of Physics and Computer Science, Presbyterian College, Clinton, SC, USA.

Funding

South Carolina IDeA Networks of Biomedical Research (SC INBRE V)P20GM103499 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI EDIE C GOLDSMITH · 2012 to 2026
$61.0M
National Aeronautics and Space Administration NNX10AM76HNIGMS NIH HHS P20 GM103499
6 · The paper itself

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.

Indexed as

Extraterrestrial EnvironmentHeart RateWeatherBlood PressureHumansBlood pressureChronobiologyGeomagneticHeart rateMagnetic stormsPhysiologySpace stormsSpace weather

Identifiers

PMID29030696
PMCPMC6538039

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.