The purpose of this work is to investigate dependence of the seasonal dynamics of HS (hemorrhagic strokes) and IS (ischemic strokes) risk on sex and age using meta-analysis. In total, 22 publications were selected for this meta-analysis, studying the seasonal dynamics of HS, of which 8 publications presented statistics separately for men and women, and three papers presented statistics for different age groups. Also, 28 publications studying the seasonal dynamics of IS were selected for meta-analysis, of which 11 publications presented statistics separately for men and women, and three papers presented statistics for different age groups. The meta-analysis of the seasonal dynamics of HS showed that HS risk is less likely in a warmer season compared with a colder one. In men, HS risk was the highest in winter and spring, and in women in winter. Dependence between HS risk and a decrease in air temperature was the same in men and women. According to the results of the meta-analysis (without regard to sex and age), the minimum probability of IS occurs in autumn. In women, IS risk was significantly higher in winter compared to other seasons. In men, the seasonal dynamics of IS was not expressed. In older people, the overall risk of stroke increased, especially IS. In people over 65 years of age, there was a significant dependence of an increase in HS risk on a decrease in air temperature. In people younger than 65 years, HS risk was not associated with cold. A decrease in temperature equally increased IS risk in both age groups. 

https://journal.fcrisk.ru/sites/journal.fcrisk.ru/files/upload/article/673/health-risk-analysis-2023-1-12.pdf

Meta-analysis of the influence of gender and age on the seasonal dynamics of cerebral strokes

Aim. To study the seasonal dynamics of cardiovascular events (CVE) in the Russian Federation (RF) using medical and statistical data for the period 2016-2019, and also to establish an association of CVE risk with meteorological conditions. Material and methods. We used data on hospitalizations for 2016-2019 for hemorrhagic stroke (HS), ischemic stroke (IS), myocardial infarction (MI), and acute coronary syndrome (ACS). Results. Data analysis showed that the maximum number of HSs occurred in winter and spring, and the minimum in summer. The maximum number of ISs was recorded in spring and summer, while the minimum in winter and autumn. ACS occurred more often in winter and spring, MI — more often in spring. ACS was accompanied by MI in 44% of cases. In winter, the probability of HS increased with decreasing latitude. In summer, the risk of HS and IS was greater at lower air temperatures. In summer, the probability of IS and MI was associated with lower values of atmospheric pressure and partial density of oxygen (ρO 2 ). In winter, the risk of IS increased at highr atmospheric pressure values. No convincing evidence was obtained of the influence of geomagnetic activity on the seasonal dynamics of the CVEs either throughout the Russian Federation or in the circumpolar regions. Conclusion. As a result, meteorological conditions influence the seasonal risk of CVEs. A decrease in ρO 2 in summer significantly increases the CVE risk associated with ischemia, which should be taken into account when preventing CVEs. 

pdf/seasonal-dynamics-of-cardiovascular-events-in-the-russian-4aqykcqyk7.pdf

Seasonal dynamics of cardiovascular events in the Russian Federation

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Frédéric Gabriel

Author Tools

Chat about Author

Papers

Meta-analysis of the influence of gender and age on the seasonal dynamics of cerebral strokes