Potential influence of geomagnetic activity on blood pressure statistical fluctuations at mid-magnetic latitudes
Bibliographic record
Abstract
Solar activity and the consequent geomagnetic activity (GMA) profoundly influence human biological rhythms and cardiovascular system functions. Although the response of blood pressure (BP) to GMA has attracted considerable attention, it is unclear whether the GMA can have an influence alone and how it occurs. In this six-year time series analysis, we collated over 500,000 BP measurements from two representative cities (Qingdao and Weihai) at mid-magnetic latitudes in China. Using various statistical methods, we analyzed the correlation between BP and the GMA (represented by Ap index) and their quasi-periodic fluctuations. Additionally, we conducted a comparative analysis of the influence of other environmental factors (air temperature and PM2.5) on BP. The statistical BP level fluctuations correlate with the GMA. Both BP and the GMA index exhibit similar annual bimodal patterns and multiple periodicities, including 12-month and 6-month cycles, and an intermittent 3-month cycle. In contrast, other known environmental factors influencing BP such as air temperature and PM2.5 do not exhibit similar periodicities, particularly they lack 3-month cycles. In years with higher GMA levels, the BP shows stronger correlations with the Ap index and responds on a shorter timescale. Additionally, BP in females appears to be more strongly correlated with GMA. Our findings highlight potential risks to individuals with hypertension with elevated GMA levels, deepen our understanding of GMA’s role in human health, and offer insights for healthcare policymakers on the clinical significance of the geomagnetic environment. Human blood pressure fluctuates constantly and is influenced by various factors such as hormone levels in the body and environmental conditions. Geomagnetic activity is change in the Earth’s magnetic field as a consequence of the sun’ s activity, such as the impact of solar winds. We used six years of data to investigate whether changes in geomagnetic activity have an impact on blood pressure. Our results show a relationship between geomagnetic activity and blood pressure, particularly during periods of high geomagnetic activity. Understanding this relationship could enhance our knowledge of the geomagnetic environment’s clinical significance and potentially contribute to better hypertension risk assessment and management. He et al. analyze the correlation between blood pressure (BP) and geomagnetic activity (GMA), along with their quasi-periodic fluctuations. Their results show a significant positive correlation, with multiple periodicities not observed in other factors like temperature and PM2.5, offering further evidence linking GMA and BP fluctuations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".