A Non-Exercise Model for Predicting Cardiovascular Risks among Apparently Healthy Male Office Workers—Cross-Sectional Analysis: A Pilot Study

Emilian Zadarko, Maria Zadarko-Domaradzka, Zbigniew Barabasz and Marek Sobolewski
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Emilian Zadarko: Institute of Physical Culture Sciences, Medical College of Rzeszów University, University of Rzeszów, 35-959 Rzeszów, Poland
Maria Zadarko-Domaradzka: Institute of Physical Culture Sciences, Medical College of Rzeszów University, University of Rzeszów, 35-959 Rzeszów, Poland
Zbigniew Barabasz: Institute of Physical Culture Sciences, Medical College of Rzeszów University, University of Rzeszów, 35-959 Rzeszów, Poland
Marek Sobolewski: Department of Quantitative Methods, Rzeszów University of Technology, 35-959 Rzeszów, Poland

IJERPH, 2022, vol. 19, issue 5, 1-13

Abstract: The health condition of working-age males in Poland remains largely associated with long-lasting sick leaves, one of the main reasons of which being cardiovascular diseases (CVD). The aim of this work was to develop a prediction model for FIT Treadmill Score (“FIT” refers to Henry Ford ExercIse Testing (FIT) Project) that only depends on easily accessible somatic data and smoking without the need to perform the exercise test anymore. The study comprised 146 men with a negative cardiological history, aged 26–60, with desk-jobs. By means of regression analysis it was tested to what degree obesity-related indices as well as smoking cigarettes allow for determining the measure level of mortality risk, without the necessity of performing an exercise test. The following independent variables were entered into the linear regression model: age, BMI, Fat%, waist circumference (WC), waist to height ratio (WHtR) as well as smoking. Statistically significant factors were singled out from among them. The obtained model accounts for a significant part (over 87%) of the variability of the mortality risk measure among the tested population. Based on the value of the standardised regression coefficient β , it can be stated that age is the factor that mostly determines the mortality risk measure, followed by the WHtR and smoking. The simplicity of the worked-out model and, resulting from it, the possibility of its common application should enable better health monitoring of working-age men with regard to cardiovascular disease occurrence and, related to it, mortality risk, thereby improving the quality of public health management.

Keywords: disease prevention; cardiovascular diseases; CRF; risk prediction; FIT Treadmill Score (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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