Risk Factors and Preventive Measures for Cardiovascular Diseases

Author:

Preisner Katharina1,Hetjens Svetlana1ORCID

Affiliation:

1. Department of Medical Statistics, Center for Preventive Medicine and Digital Health, Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, Germany

Abstract

Background: Cardiovascular diseases are the most frequent cause of death worldwide. The aim of this study was to identify and demonstrate correlations between mortality data and etiological factors in EU countries. The relationships presented could thus provide a better understanding of etiological factors and possible points for interventions to prevent cardiovascular diseases. The focus was on the following diseases: hypertensive heart disease, atrial flutter/atrial fibrillation, myocardial infarction, and ischemic heart disease, as well as heart failure. Methods: The data in this study come from WHO databases. Connections between the mortality rates and the possible influencing factors were analyzed. The significant factors from the correlation analysis were simultaneously evaluated using a stepwise multiple regression analysis. Results: Analysis of hypertensive heart disease in women reveals the following factors to be significant: drug expenses, health expenses on gross domestic product, and smoking. For men, population density, first admission to a drug treatment center, and drug expenses per person emerged as important factors. Admission to drug treatment centers and length of hospitalization were significant factors for atrial fibrillation and flutter. Fine dust pollution was the most important factor in heart failure. The most important influencing factor for myocardial infarction and ischemic heart disease is nitrogen dioxide concentration. For women, the second highest value is health expenses, followed by the number of outpatient contacts per year. For men, outpatient contacts are in second place. Conclusions: Prevention measures must be taken by the government. The extent to which population density has an influence on cardiovascular diseases should be examined in more detail. In order to reduce the number of initial admissions to drug treatment centers, behavioral prevention related to drug use could be improved.

Publisher

MDPI AG

Reference14 articles.

1. WHO (2024, April 23). Cardiovascular Diseases (CVDs). Available online: https://www.who.int/health-topics/cardiovascular-diseases.

2. European Society of Cardiology (2024, May 03). European Society of Cardiology: Cardiovascular Disease Statistics 2019. Available online: https://www.escardio.org/The-ESC/Press-Office/Fact-sheets.

3. DIMDI (2018, February 14). ICD-10. Available online: http://www.dimdi.de/static/de/klassi/icd-10-gm/index.htm.

4. Office, F.S. (2024, May 03). Causes of Death 2022. Available online: https://www.destatis.de/DE/ZahlenFakten/GesellschaftStaat/Gesundheit/Todesursachen/Tabellen/GestorbeneAnzahl.html.

5. Health 2020-achieving health and development in today’s Europe;Jakab;Przegl. Epidemiol.,2015

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