MULTIFACTORIAL REGRESSION MODEL FOR PREDICTING THE LEVEL OF HEAT SENSITIVITY IN HEALTHY YOUNG PEOPLE IN THE CONTEXT OF GLOBAL WARMING

Abstract

The aim: To create a mathematical model for predicting the level of heat sensitivity in healthy young people based on multivariate regression analysis. Materials and methods: 150 healthy young people aged 17-20 years answered the questionnaire “Levels of heat sensitivity”, underwent a heat test and mathematical analysis of the heart rate, after which the results were used to build a regression model of heat sensitivity. Results: The model of mathematical prediction of heat sensitivity (CHSL1/CHSL2), which we proposed for the first time, takes into account the most significant factors that influence the determination of higher and lower sensitivity to heat (Q1-Q6, %LF2, %HF1, %HF2, HR1, HR2), so its use will allow timely identi¬fication of individuals who are particularly susceptible to the effects of elevated ambient temperature and prevent the development of potential negative consequences of this exposure. Conclusions: Based on the results obtained, it is possible to use this prognostic model in the future to develop a diagnostic system for determining the level of heat sensitivity.