  Studies on the influence of a modern lifestyle in abetting Coronary Heart
Diseases (CHD) have mostly focused on deterrent health factors, like smoking,
alcohol intake, cheese consumption and average systolic blood pressure, largely
disregarding the impact of a healthy lifestyle in mitigating CHD risk. In this
study, 30+ years' World Health Organization (WHO) data have been analyzed,
using a wide array of advanced Machine Learning techniques, to quantify how
regulated reliance on positive health indicators, e.g. fruits/vegetables,
cereals can offset CHD risk factors over a period of time. Our research ranks
the impact of the negative outliers on CHD and then quantifies the impact of
the positive health factors in mitigating the negative risk-factors. Our
research outcomes, presented through simple mathematical equations, outline the
best CHD prevention strategy using lifestyle control only. We show that a 20%
increase in the intake of fruit/vegetable leads to 3-6% decrease in SBP; or, a
10% increase in cereal intake lowers SBP by 3%; a simultaneous increase of 10%
in fruit-vegetable can further offset the effects of SBP by 6%. Our analysis
establishes gender independence of lifestyle on CHD, refuting long held
assumptions and unqualified beliefs. We show that CHD risk can be lowered with
incremental changes in lifestyle and diet, e.g. fruit-vegetable intake
ameliorating effects of alcohol-smoking-fatty food. Our multivariate data model
also estimates functional relationships amongst lifestyle factors that can
potentially redefine the diagnostics of Framingham score-based CHD-prediction.
