First, we have to find waist to height ratio -r. Suppose your height is 172 cm and your waist perimeter are 96 cm. The ratio is 96/172=0.56. You can have the ratio up to 0.5. More than 0.5 is not good. That is your waist circumference should not exceed half of your height-both for men and women.
Suppose you are 30-year-old nonsmoking male. You can calculate the 'years of life that will be lost' using the equation given below.
Years lost -y = 616.67r^3 - 920r^2 + 467.81r - 81.
r-waist to height ratio.
It is a ugly polynomial equation. We have similar equations for male aged 50 and 70; for female aged 30, 50 and 70. I do not want to give all of them here and threaten you. But all the six equations give a nice family of curves. They are given below.
CONCLUSIONS FROM THE CURVES
1. Men lose more years of life than woman for the same ratio r.
2. More years of life lost when ratio increases from an already higher number.
3. The effect of ratio on 'years lost' diminishes with age.
4. Ratio of 0.5 minimizes years of life lost.
How to increase your life span. You have to reduce waist size. But do not go for liposuction. You have to reduce the belly fat through better nutrition and exercise. Hence go for, low carb high protein, high fiber, good fat and low energy density foods.
How to use the equations, if your age is other than 30, 50, and 70
For male ?
Age 30: Years lost =616.67r^3 - 920r^2 + 467.83r-81 -----1
Age 50: Y = 183.33r^3 - 180r^2 +45.167r-0.5 ------2.
Age 70: Y = -83.33r^3 +245r^2 -188.67r+43.5------3.
For female:
Age 30: Y =150r^3 -175r^2 +69r-9.4 ---4
Age 50: Y= 116.67r^3 -130r^2 +48.33r-6.4 ---5
Age 70: Y = 60r^2 -58.4r+14.21 ----6
If you are non-smoking male aged 40, take equation 1 and 2; multiply the result of each equation by the factor 0.5 (since the age 40 is half-way between age 30 and 50 ); add the two answers; you will get loss of years (if any)
Y = 0.5 * (1) +0.5(2)
Using the above logic, a person of any age (above30) can find his loss of years life.
The above equations are arrived at using massive patient's data and curve fitting techniques.
Let us add years to our life using math.
Nice way to quantify years of living based on belly size.
ReplyDelete