Cardiovascular risk factors determined via the Internet in 2 periods of time: 2004–2009 and 2010–2015 in Poland
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Medical University of Gdańsk, Gdańsk, Poland (University Centre for Cardiology, Family Medicine Department)
Medical University of Warsaw, Warszawa, Poland (First Department of Cardiology)
Świętokrzyskie Cardiology Centre, Kielce, Poland (Department of Cardiology and Electrotherapy)
Jan Kochanowski University, Kielce, Poland (Faculty of Health Sciences)
Int J Occup Med Environ Health 2017;30(3):499–510
Objectives: Web information systems may serve as a diagnostic tool for the Internet users and they also support the epidemiological work of doctors and health care providers. As part of this study, a system has been created for detecting and calculating cardiovascular risk. The aim of this study has been the comparison of cardiovascular risk factors and calculated fatal cardiovascular risk in 2 periods of time: 2004–2009 and 2010–2015 in Poland, as determined via the Internet. Material and Methods: The “Ryzyko program” (“Risk program”) is available on the website of the Medical University of Gdańsk. To assess the cardiovascular death risk in a 10-year period, the algorithm of the SCORE (Systematic Coronary Risk Evaluation) project was used and 30 402 results of the algorithm have been analyzed. Results: Over 30 402 webpage visitors entered the required data and received the outcome. More than 78% of the Internet users who had entered the data, received a recommendation for medical check-up. Significant differences between the data collected in 2004– 2009 and 2010–2015 were noticed. Hypercholesterolemia prevalence (67.3% vs. 70.8%; p < 0.001), mean total cholesterol concentration in blood (5.60±1.65 mml/l vs. 5.66±1.35 mml/l; p < 0.001), prevalence of hypertension (36.6% vs. 35.3%; p = 0.039), mean systolic blood pressure (131.5±20.3 mm Hg vs. 132.6±18.0 mm Hg; p < 0.001), prevalence of declared smoking (30.7% vs. 26.5%; p < 0.001), declared diabetes mellitus (DM) (6.4% vs. 9.7%; p < 0.001), and declared coronary artery disease (CAD) (7.2% vs. 14.1%; p < 0.001), respectively. Conclusions: The prevalence of cardiovascular risk factors has changed during the observed period of time. Online automatic gathering of new data by “Ryzyko program” provides up-to-date observations. Int J Occup Med Environ Health 2017;30(3):499–510
Janusz Siebert   
Medical University of Gdańsk, University Centre for Cardiology, Family Medicine Department, Dębinki 2, 80-211 Gdańsk, Poland