A proposed framework in assessing health risks associated with jogging using the dynamics of vital signs

Abstract

Over the years, several studies have been done on the benefits of jogging. Other than physical fitness, individuals who stay active in this sport get various forms of benefits. In fact, several studies have proven that jogging among men and women increase life expectancy. However, irregularities and varying frequencies in engaging in this form of physical activity may increase health risks. The study introduces a mathematical framework in assessing health risks associated in a strenuous physical activity such as jogging by testing for chaos in human vital signs. Dynamic physiological states of a jogger are interpreted whether chaotic or non-chaotic using Largest Lyapunov Exponent (LLE) test for chaos. Likewise, demographic variables such as age and gender are correlated to the occurrence of chaotic patterns using the Chi-Square Test for Independence which are used as a guide in evaluation of health risks derived from the frequency of jogging. This framework aims to provide guidelines in the reduction of risks associated to irregularities in jogging patterns. Based on results, whether a jogger is an early rise or a late rise, their vital signs indicate chaotic behavior. Whether a jogger is a female or male and of different age range, chaotic properties of their vital signs are confirmed through jogging patterns. Though a chaotic pattern is consistently exhibited throughout the jogging condition, the degree of chaos varies as reflected in changing values of LLE over the time interval.Over the years, several studies have been done on the benefits of jogging. Other than physical fitness, individuals who stay active in this sport get various forms of benefits. In fact, several studies have proven that jogging among men and women increase life expectancy. However, irregularities and varying frequencies in engaging in this form of physical activity may increase health risks. The study introduces a mathematical framework in assessing health risks associated in a strenuous physical activity such as jogging by testing for chaos in human vital signs. Dynamic physiological states of a jogger are interpreted whether chaotic or non-chaotic using Largest Lyapunov Exponent (LLE) test for chaos. Likewise, demographic variables such as age and gender are correlated to the occurrence of chaotic patterns using the Chi-Square Test for Independence which are used as a guide in evaluation of health risks derived from the frequency of jogging. This framework aims to provide guidelines in the reduction of r...