Shelog tools · Free calculator
Metabolic Age Calculator
Explore how your resting energy translates into a formula-based age estimate, alongside the calories you may need each day. This is an educational comparison—not your body's true age.
The method & the evidence
How this estimate is calculated
This calculator combines a resting-energy estimate with an algebraic age comparison. Published research supports the energy equations; it does not establish this combination as a biological-age test. Here is what each step means, where it comes from, and how to read it.
01 · RESTING ENERGY
Start with energy at rest
Estimate resting kcal/day from weight and body fat, or enter a lab-measured RMR or device estimate. These are different sources—not interchangeable measurements.
02 · AGE COMPARISON
Solve for a formula-based age
Hold weight, height, and the sex coefficient fixed, then solve the Mifflin–St Jeor equation for age. This is not a comparison with an age-matched population or a clinical risk score.
03 · DAILY CALORIES
Estimate maintenance needs
Multiply resting energy by the selected activity factor (1.2–1.9). This separate approximation changes the calorie estimate, not the age result. It is not a prescribed intake.
A precise-looking age is not a precise measurement.
The age conversion has not been clinically validated. A higher or lower result does not establish better health, faster aging, or metabolic damage. The citations below are evidence for specific energy concepts—not endorsements of this calculator or Shelog.
The equations, with units and sources
Body-fat route. Fat-free mass includes more than muscle. We calculate it as weight in kg × (1 − body fat % ÷ 100), then use the equation labeled Katch–McArdle in this tool:
Resting kcal/day = 370 + 21.6 × fat-free mass (kg)
This exact equation also appears in Cunningham's 1991 review of body composition and energy expenditure. It predicts resting energy, not age. [1]
Age comparison. The simplified Mifflin–St Jeor equation predicts resting kcal/day as 10 × weight (kg) + 6.25 × height (cm) − 5 × age (years) + S, where S is +5 for males and −161 for females. [2] Our rearrangement is:
Formula-based age = (10 × weight + 6.25 × height + S − resting kcal/day) ÷ 5
Imperial inputs are converted to kg and cm before calculation. Intermediate values are not rounded. Your chronological age supplies the displayed comparison; it is not used to estimate resting energy in the body-fat route. Predicting resting energy with Mifflin and reversing the same equation would simply return the age entered.
What the studies actually support
Mifflin et al. developed their equation using 498 healthy adults aged 19–78, including normal-weight and obese participants. Resting energy was measured by indirect calorimetry. The study evaluated energy prediction, not whether an energy value can reveal someone's age. [2]
A 2005 systematic review found Mifflin–St Jeor more often predicted RMR within 10% of measured values than the other commonly used equations reviewed. That does not promise ±10% accuracy for each person, for our body-fat estimate, or for an age conversion. [3]
Research also cautions against treating metabolism as a simple aging clock. Pontzer et al. found fat-free-mass-adjusted total daily energy expenditure was broadly stable from about age 20 to 60 in their population data. This concerns total energy expenditure and does not validate our resting-energy age comparison. [4]
A worked example—and why small errors matter
Illustrative inputs: female coefficient, age 35, weight 65 kg, height 165 cm, body fat 30%, activity factor 1.2.
- Fat-free mass: 65 × 0.70 = 45.5 kg.
- Resting energy: 370 + 21.6 × 45.5 = 1,352.8 kcal/day.
- Age comparison: (650 + 1,031.25 − 161 − 1,352.8) ÷ 5 = 33.49, displayed as 33 years.
- Maintenance estimate: 1,352.8 × 1.2 = 1,623.36, displayed as 1,623 kcal/day.
These are arithmetic examples, not observed health outcomes. With other inputs fixed, 100 kcal/day more resting energy reduces the unrounded age by 20 years. At 65 kg, changing body fat from 30% to 31% raises it by about 2.8 years in this model. Neither difference proves a change in biological aging.
We do not report an age confidence interval: this combined method has not been validated well enough to justify one.
Input quality, age limits, and appropriate use
Use a recent body-fat estimate rather than guessing. If you have a lab result, enter resting energy—not active calories, total daily expenditure, or food intake. A smart scale's BMR is a prediction, not a lab measurement, and may already use chronological age. A measured RMR still does not turn this conversion into a validated age test.
The tool accepts adults aged 19–78 and displays an exact rounded age only when the unrounded result falls within that window. Otherwise it reports Below 19 or Above 78. The window matches the original Mifflin study's age span, but is our display convention—not a validated range for estimating age.
This is an educational tool, not intended for pregnancy, breastfeeding, children, or medical decisions. Do not use the result to diagnose a condition or to set a restrictive diet. For individual energy needs or concerns about metabolism, speak with a qualified healthcare professional.
Research references
- Cunningham JJ. Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation. American Journal of Clinical Nutrition. 1991;54:963–969.
Supports the 370 + 21.6 × fat-free mass resting-energy equation.
- Mifflin MD et al. A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition. 1990;51:241–247.
Source for the resting-energy reference equation, not an age test.
- Frankenfield D, Roth-Yousey L, Compher C. Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. Journal of the American Dietetic Association. 2005;105:775–789.
Evidence on prediction accuracy and individual uncertainty.
- Pontzer H et al. Daily energy expenditure through the human life course. Science. 2021;373:808–812.
Context on energy expenditure and aging; not a validation of metabolic-age calculators.
Common questions
What if I do not know my body fat percentage?
You can enter a lab-measured RMR or a device-estimated resting value instead. Without either, we cannot provide an independent estimate. Using Mifflin to calculate resting calories and then reversing the same equation would simply return your actual age.
Why is my result different from my smart scale?
This tool uses a disclosed equation reversal. Your scale may use different resting equations and proprietary reference data. Its estimate is not interchangeable with this one, and neither is a measurement of biological age.
Does a higher result mean my metabolism is damaged?
No. It means your supplied or estimated resting energy corresponds to an older age in this mathematical model. It cannot diagnose metabolic damage, a hormone condition or health risk. If you have concerns or symptoms, speak with a qualified health professional.
Can I use Shelog to lower my metabolic age?
Shelog helps you record meals and track calories. It does not measure biological age, and we do not promise an age reduction. Use your results as context for understanding daily habits, not as a number you must lower.
