Your Biometric Data

Enter up to 5 biomarker signals. Age, gender, weight, and height are required — each optional signal adds precision to your metabolic age score.

Signal 1 — Core Profile REQUIRED
Signal 2 — BMR Age REQUIRED
Unlocks Body Comp Age signal
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Signal 3 — Cardio Age (VO₂ Proxy) OPTIONAL
Cardiovascular fitness via resting heart rate
Measure on waking, before getting up
Leave blank to auto-calculate
Typical RangesAthletes 40–55 bpm · Fit 56–65 · Average 66–75 · Sedentary 76+
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Signal 4 — Waist Ratio (Visceral Fat) OPTIONAL
Strongest predictor of belly fat risk
Measure at navel level, relaxed
WHtR ThresholdKeep waist below 50% of height for low visceral fat risk. WHtR outperforms BMI for cardiometabolic prediction.
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Signal 5 — Recovery & Lifestyle OPTIONAL
Sleep & stress hormonal signal
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Signal Weights — Customise
Adjust how each signal contributes
BMR Age20%
Cardio Age45%
Body Comp20%
Waist Ratio10%
Recovery5%
Total: 100%
Please fix the highlighted fields above.
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Previous Results
Your last 5 calculations
No history yet — your results will appear here after your first calculation.
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Metabolic Age Report
Your Metabolic Age Awaits Fill in your details and tap
Calculate My Metabolic Age

5 biomarker signals · Composite score
Personalised fingerprint · Action plan · Timeline
Composite Metabolic Age Score
Metabolic Stats
Your BMR
-kcal
At complete rest per day
Avg for Your Age
-kcal
Average BMR for your age group
Your TDEE
-kcal
Total daily energy
BMR Gap
-kcal
vs age average
Signal Breakdown
BMR AGE
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CARDIO AGE (VO2)
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BODY COMP AGE
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WAIST RATIO AGE
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RECOVERY AGE
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🧬 Your Metabolic Fingerprint
Personalised Analysis
Based on your specific combination of biomarker signals
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Metabolic Age Zones — Reference
Where Do You Stand?
Gap (Met - Real)ZoneWhat It MeansPrimary Driver
Belly Fat & Visceral Risk Profile
Visceral Risk Spectrum
How your signals collectively affect visceral fat accumulation
MinimalLowModerateElevatedHigh
Personalised Action Plan
Your Priority Interventions
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📈 Improvement Timeline
Evidence-Based Milestones
Realistic changes you can expect at each stage with consistent effort
The Science & Formulas
How It's Calculated
Every formula explained — no black boxes
Mifflin-St Jeor BMR
Male:   BMR = (10 x kg) + (6.25 x cm) - (5 x age) + 5
Female: BMR = (10 x kg) + (6.25 x cm) - (5 x age) - 161

Why this formula? Mifflin-St Jeor (1990) is the most validated equation for free-living adults, accurate to +/-5-8%. BMR Age is calculated by mapping your BMR to NHANES age-stratified population averages.

Katch-McArdle (Body Fat Method)
LBM = Weight x (1 - BF% / 100)
BMR = 370 + (21.6 x LBM_kg)

Why use it? Katch-McArdle removes fat mass entirely — since fat is metabolically near-inactive, using lean body mass gives a more accurate BMR when body fat % is known.

VO2 Max Proxy — Uth-Sorensen + ACSM Age Norms
Max HR = 207 - (0.7 x age) [Tanaka 2001 — lower error than 220-age]
VO2 proxy = 15 x (MaxHR / RestingHR) [Uth et al. 2004]
Cardio Age: interpolated from self-calibrated VO2max norms (Tanaka MaxHR + Palatini avg RHR by age)

Why Tanaka MaxHR? The classic 220-age formula has a standard error of ~10-12 bpm. Tanaka et al. (2001) meta-analysed 351 studies (18,712 subjects) and derived 207-0.7xAge, which has a lower error especially above age 40. VO2max age mapping uses ACSM's published population norms — the same reference used in clinical exercise testing worldwide.

Waist-to-Height Ratio (WHtR)
WHtR = Waist circumference / Height (same units)
Threshold: WHtR < 0.50 = low visceral risk
Visceral Age Offset: +1 yr per 2% above WHtR 0.50

Why WHtR beats BMI? Ashwell & Hsieh (2005) showed WHtR outperforms BMI as a predictor of cardiometabolic risk across ethnicities. The 0.5 boundary is now endorsed by several national health bodies.

Composite Metabolic Age — Weighted Blend
MetabolicAge = Sum(SignalAge_i x Weight_i) / Sum(Weight_i)

Missing signals excluded. Weights renormalise automatically.

Confidence score: 2 required signals = 40% baseline. Each optional signal adds 20%, up to 100% with all 5 active. The two required signals guarantee a minimum 40% confidence baseline.

1
Mifflin MD et al. A new predictive equation for resting energy expenditure. Am J Clin Nutr. 1990. PubMed
2
Uth N et al. Estimation of VO2max from HRmax/HRrest ratio. Eur J Appl Physiol. 2004. PubMed
3
Myers J et al. Exercise capacity and mortality. N Engl J Med. 2002. PubMed
4
Ashwell M, Hsieh SD. Six reasons why the waist-to-height ratio is a rapid and effective global indicator. Int J Food Sci Nutr. 2005 Aug;56(5):303-7. PubMed
5
Spiegel K et al. Sleep curtailment and leptin levels. Ann Intern Med. 2004. PubMed
📋 Clinical Note
What Metabolic Age Means

Metabolic Age represents how your biomarkers compare to standard population data across the same age groups. A metabolic age lower than your chronological age indicates your body is functioning more efficiently than the average person your age — and vice versa.

To lower your metabolic age, the two highest-leverage interventions supported by the literature are: cardiovascular conditioning (which lowers resting heart rate and raises VO₂ max) and improving lean muscle-to-fat ratio (which directly raises BMR and body composition age score).

💙 Cardio Focus
Zone 2 cardio 3×/week lowers RHR by 5–10 bpm in 8–12 weeks, directly improving your VO₂ proxy age signal.
💪 Muscle Focus
Each kg of lean muscle burns ~13 kcal/day at rest. Resistance training 3×/week measurably shifts body comp age within 12 weeks.
References: Tanaka et al. 2001 (PMID 11153730) · Gulati et al. 2010 (PMID 20585008) · ACSM Guidelines for Exercise Testing · PMC6760422 (VO₂ decline & metabolic age)
Medical Disclaimer This calculator provides general metabolic estimates for informational and educational purposes only. BMR formulas have a margin of error of +/-10-15%. Results do not substitute for medical advice. Consult a qualified healthcare professional before making significant dietary or exercise changes.