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This is an accepted version of this page This is the latest accepted revision, reviewed on 21 January 2025. Relative weight based on mass and height Medical diagnostic method Body mass index (BMI) Chart showing body mass index (BMI) for a range of heights and weights in both metric and imperial. Colours indicate BMI categories defined by the World Health Organization ; underweight, normal ...
Human body weight is a person's mass or weight.. Strictly speaking, body weight is the measurement of mass without items located on the person. Practically though, body weight may be measured with clothes on, but without shoes or heavy accessories such as mobile phones and wallets, and using manual or digital weighing scales.
To calculate BMI, divide a person’s weight in kilograms by their height in meters squared. Translated into imperial, that’s a person’s weight in pounds divided by their height in inches ...
In the following formulae, BSA is expressed in m 2, weight (or, more properly, mass) W in kg, and height H in cm. The most widely used is the Du Bois formula, [4] [5] which has been shown to be equally as effective in estimating body fat in obese and non-obese patients, something the Body mass index fails to do. [6]
The Harris–Benedict equation (also called the Harris-Benedict principle) is a method used to estimate an individual's basal metabolic rate (BMR).. The estimated BMR value may be multiplied by a number that corresponds to the individual's activity level; the resulting number is the approximate daily kilocalorie intake to maintain current body weight.
The Wilks coefficient or Wilks formula is a mathematical coefficient that can be used to measure the relative strengths of powerlifters despite the different weight classes of the lifters. Robert Wilks, CEO of Powerlifting Australia , is the author of the formula.
The Schofield Equation is a method of estimating the basal metabolic rate (BMR) of adult men and women published in 1985. [1]This is the equation used by the WHO in their technical report series. [2]
However, its accuracy declines at the extremes of body fat percentages, tending to slightly understate the percent body fat in overweight and obese persons (by 1.68–2.94% depending on the method of calculation), and to overstate to a much larger degree the percent body fat in very lean subjects (by an average of 6.8%, with up to a 13% ...