Calorie calculators

TDEE Calculator With Body Fat: The Katch-McArdle Formula

Katch–McArdle estimates resting energy as 370 + 21.6 kcal per kg of lean mass. An 80 kg man at 20% body fat gets 1,752 kcal at rest. Body fat error moves it.

Key takeaways

  • Katch–McArdle is 370 + 21.6 × lean body mass in kg: an 80 kg man at 20% body fat has 64 kg of lean mass and 1,752 kcal at rest.
  • At the same 80 kg, body fat of 12%, 20% and 30% gives 1,891, 1,752 and 1,580 kcal, while Mifflin–St Jeor gives 1,743 kcal for all three.
  • Multiplying 1,752 kcal by NASEM's activity bands gives 2,681 to 2,943 kcal for low active, and the weight-based NASEM figure of 2,875 kcal falls inside it.
  • The top-scoring equation in a 620-woman test had only 39.5% of estimates within 10% of measured resting energy.
  • Impedance body fat readings can miss lean mass by more than 6 kg, which moves the result by about 130 kcal.

A TDEE calculator with body fat swaps the usual weight-based equation for Katch–McArdle: resting energy = 370 + 21.6 × lean body mass in kg. An 80 kg man at 20% body fat has 64 kg of lean mass, so the formula gives 1,752 kcal at rest. Multiply by an activity band and you have a daily total. The catch is that your body fat figure adds its own error.

How does a TDEE calculator with body fat work?

The only input beyond weight is lean mass, your weight times one minus your body fat fraction. A BMR calculator with body fat stops at resting energy. A TDEE calculator scales that up for the movement in your day with an activity band, and BMR vs TDEE spells out the difference.

NASEM’s definition is the one I prefer for the scaling. The 2023 report defines the physical activity level as total expenditure divided by basal rate and splits adults into four bands. Here they are on the 1,752 kcal example.

Activity level Activity band (× basal rate) Total daily energy (kcal)
Inactive below 1.53 up to 2,681
Low active 1.53–1.68 2,681–2,943
Active 1.68–1.85 2,943–3,241
Very active 1.85–2.50 3,241–4,380

The same man (35 years old, 178 cm, 80 kg) gets 2,659, 2,875, 3,059 and 3,410 kcal from NASEM’s weight-based equations. Each one falls inside the matching band. For him, the two routes agree. Katch–McArdle gives resting energy and NASEM’s bands are multiples of basal rate, so treat the match as a guide.

A second case shows the same thing. A 35-year-old woman of 165 cm and 65 kg with 30% body fat has 45.5 kg of lean mass. Katch–McArdle gives 370 + (21.6 × 45.5) = 1,353 kcal at rest. Mifflin–St Jeor gives 1,345 kcal. The gap is 8 kcal, too small to matter for either formula.

Choose the band that fits a typical week, start from the middle of it, and ignore your best day. If you want the population averages first, how many calories per day you need has them.

The calorie calculator covers the weight-based route. It takes your age, height, weight and activity, applies the NASEM 2023 equations and doesn’t ask for body fat.

How much does body fat change the answer?

A lot, and it separates people a weight-based formula treats as identical. I took the same 80 kg man at three body fat levels and ran three formulas.

Body fat Lean mass (kg) Katch–McArdle (kcal) Cunningham (kcal) Mifflin–St Jeor (kcal)
12% 70.4 1,891 2,049 1,743
20% 64.0 1,752 1,908 1,743
30% 56.0 1,580 1,732 1,743

Mifflin–St Jeor never sees body fat, so its 1,743 kcal is the same for all three men. Katch–McArdle spreads them by 311 kcal. Cunningham, which is 500 + 22 × lean mass, spreads them by 317 kcal. A lean man at 12% body fat gets 148 kcal more than the weight-based formula gives, and a man at 30% gets 163 kcal less. That spread is what body fat buys you. The weight-based equation can’t tell these three men apart.

Is Katch-McArdle more accurate than Mifflin-St Jeor?

Slightly more informative, but not reliably more accurate. The evidence is thin and mixed. Four studies follow. The weight-based rival has its own piece, the Mifflin-St Jeor formula.

  • In the 498 people behind the Mifflin–St Jeor equation, fat-free mass explained more of resting energy (R² 0.64) than weight did (0.56). The full equation scored 0.71.
  • In 620 Chilean women measured by indirect calorimetry, Katch–McArdle had the highest share within 10% of the measured value among 12 equations, and that share was only 39.5%.
  • In 90 recreational athletes, the Cunningham equation did well, while Mifflin–St Jeor and four other common equations were under 50% accurate.
  • In 30 professional weightlifters, all eight equations tested, Katch–McArdle included, underestimated resting energy. The closest, Cunningham, was still 375 kcal low on average.

My reading is that lean mass helps most in athletes, where weight-based equations did worst. For everyone else the gain looks small.

How accurate is the body fat number I put in?

Not very, and the formula passes your error straight into your calories. A 2026 systematic review (Oliver and colleagues) compared impedance devices with a four-compartment reference method in healthy adults. Across 12 studies, average bias in body fat percentage ran from −3.5 to +4.4 points. The limits of agreement typically spanned 15 to 20 points. For fat-free mass they often exceeded ±6 kg.

Put that into the formula. A 6 kg lean mass error is 21.6 × 6 = 130 kcal. Even a 5-point miss on body fat for an 80 kg man shifts lean mass by 4 kg and the answer by 86 kcal. Consumer scales are the likeliest weak spot. A 2025 review notes that single-frequency consumer devices often lack raw data access, clinical validation and regulatory certification.

I’d measure at the same time of day, in the same state, on the same device, and average three mornings. Switching devices midway gives you a trend that is really a change of instrument.

When is a TDEE calculator with body fat worth using?

Use it if you have a repeatable body fat measurement and your build is far from average, such as regular heavy lifting. Run both versions. NASEM’s standard error for its own equations is 241 kcal for women and 342 kcal for men. A gap of about 150 kcal between two methods is smaller than that, so it is noise. Take the average and move on. If they differ by more, I trust neither until three weeks of weigh-ins break the tie. That 150 kcal line is my own rule of thumb.

Skip it if your body fat figure comes from a guess or a different device each month. The weight-based equation will serve you about as well, and how far off TDEE calculators still are explains why neither is exact. Both equations are for adults and don’t cover pregnancy.

Calsa reads body fat from your scale through Apple Health or Health Connect, and shows weight as a smoothed trend instead of daily jumps.

Questions and answers

What is the Katch-McArdle formula?

Resting energy in kcal a day equals 370 plus 21.6 times lean body mass in kilograms. Lean body mass is your weight minus your fat mass. For 64 kg of lean mass the result is 1,752 kcal.

What body fat percentage should I enter in a TDEE calculator?

Enter a figure from a device you will use every time, because the trend matters more than any single reading. A 2026 review found that the average bias of impedance devices against a four-compartment reference ran from −3.5 to +4.4 points of body fat, with wider gaps for individuals.

Is a BMR calculator with body fat better for muscular people?

It can be. In 30 weightlifters all eight tested equations underestimated resting energy, and the lean-mass equation by Cunningham was closest, 375 kcal low on average. A weight-based formula treats lean mass like any other weight.

Do I still multiply by an activity factor with Katch-McArdle?

Yes. The formula gives resting energy only. NASEM defines activity as total expenditure divided by basal rate, with low active at 1.53 to 1.68, so 1,752 kcal becomes 2,681 to 2,943 kcal.

Sources

  1. Joseph M, et al. Are Predictive Equations for Estimating Resting Energy Expenditure Accurate in Asian Indian Male Weightlifters? Indian J Endocrinol Metab 2017, Indian Journal of Endocrinology and Metabolism
  2. Dietary Reference Intakes for Energy (2023), Chapter 5: Development of Prediction Equations for Estimated Energy Requirements, National Academies of Sciences, Engineering, and Medicine
  3. Cunningham JJ. A reanalysis of the factors influencing basal metabolic rate in normal adults. Am J Clin Nutr 1980, American Journal of Clinical Nutrition
  4. Mifflin MD, et al. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr 1990, American Journal of Clinical Nutrition
  5. Molina-Luque R, et al. Accuracy of the Resting Energy Expenditure Estimation Equations for Healthy Women. Nutrients 2021, Nutrients
  6. ten Haaf T, Weijs PJ. Resting energy expenditure prediction in recreational athletes of 18-35 years: confirmation of Cunningham equation and an improved weight-based alternative. PLoS One 2014, PLoS One
  7. Dietary Reference Intakes for Energy (2023), Chapter 7: Applications of the Dietary Reference Intakes for Energy, National Academies of Sciences, Engineering, and Medicine
  8. Oliver CJ, et al. The Validity of Bioelectrical Impedance Analysis Compared to a Four-Compartment Model in Healthy Adults: A Systematic Review. J Funct Morphol Kinesiol 2026, Journal of Functional Morphology and Kinesiology
  9. Dupertuis YM, et al. Bioelectrical impedance analysis instruments: how do they differ, what do we need for clinical assessment? Curr Opin Clin Nutr Metab Care 2025, Current Opinion in Clinical Nutrition and Metabolic Care

About the author

Daniel Reyes

Writer, Calsa blog

Daniel writes about the math behind food tracking: how calculators reach their numbers, what macros measure and how a photo becomes an estimate.

All articles by Daniel

Put the numbers to work.

The guides show where each number comes from. In Calsa you log a meal by photo, voice or barcode, check the grams, and every calorie shows its source.

Log my first meal
A snack board of hummus, carrot and cucumber sticks, crackers, cheese, grapes and walnutsCalsa entry details: 71 kcal per 100 g times 250 g, with USDA as the source