Metabolic Health Calculator

Go beyond BMI. Calculate your BRI, ABSI, Body Fat %, TyG Index, and Metabolic Risk Score. Discover your metabolic phenotype — even without blood values.

TIER 1 Body Measurements — No blood test required

Why Normal BMI Doesn't Mean Metabolically Healthy

The 4 Metabolic Phenotypes

Wildman et al. (2008) analysed 5,440 US adults (NHANES III) and found that 23.5% of normal-weight adults were metabolically unhealthy — with ≥2 of: elevated fasting glucose, triglycerides, blood pressure, CRP, or low HDL. Meanwhile, 31.7% of overweight/obese adults were metabolically healthy.

The implication: cardiovascular risk tracks metabolic health more closely than BMI. A "normal" BMI is not a metabolic health clearance.

Body Shape vs. Body Size

Visceral adipose tissue (VAT) — fat surrounding the abdominal organs — is metabolically active and drives inflammation, insulin resistance, and dyslipidaemia. VAT is poorly estimated by BMI.

BRI and ABSI both use waist circumference to better capture VAT than BMI. A large Tobias et al. (2014) review in Int J Obesity confirmed WHtR outperforms BMI for metabolic syndrome prediction.

TyG: Insulin Resistance From a Routine Blood Panel

Insulin resistance is the central driver of type 2 diabetes, NAFLD, and cardiovascular disease. The gold standard test (HOMA-IR) requires fasting insulin, which is not on most routine panels.

The TyG Index (ln[TG × Glucose / 2]) requires only triglycerides and fasting glucose — both on standard panels — and correlates at r=0.77 with HOMA-IR across populations (Simental-Mendía et al., 2008; Smith et al., 2019).

Formula & Calculation Method

Body Roundness Index (BRI)

BRI = 364.2 − 365.5 × √(1 − (WC/2π)² / (0.5×H)²)
  • WC — Waist circumference in metres
  • H — Height in metres

Source: Thomas et al., PLOS ONE (2013). BRI >4.5: elevated visceral fat risk.

ABSI (A Body Shape Index)

ABSI = WC / (BMI^(2/3) × H^(1/2))
  • WC — Waist circumference in metres
  • BMI — Body Mass Index kg/m²
  • H — Height in metres

Source: Krakauer & Krakauer, PLOS ONE (2012). Normalised to age/sex z-score for risk interpretation.

Body Fat % (Deurenberg)

BF% = 1.2×BMI + 0.23×Age − 10.8×Sex − 5.4
  • Sex — 1 = male, 0 = female
  • Age — Years

Source: Deurenberg et al., Br J Nutrition (1991). Validated across European populations; ±3–4% accuracy.

TyG Index

TyG = ln(Triglycerides × Glucose / 2)
  • Triglycerides — mg/dL
  • Glucose — Fasting glucose mg/dL

Source: Simental-Mendía et al. (2008); Smith et al., JAMA Network Open (2019). Threshold ≥8.5 = insulin resistance.

HOMA-IR

HOMA-IR = (Insulin × Glucose) / 405
  • Insulin — Fasting insulin in µU/mL
  • Glucose — Fasting glucose in mg/dL

Source: Matthews et al., Diabetologia (1985). Normal <1.0; IR >2.5; significant IR >3.5.

Authoritative Sources & Standards

  • Romero-Corral et al. (2008): "Accuracy of body mass index in diagnosing obesity in the adult general population." Int J Obesity 32:959–966. NHANES data showing 20–30% BMI misclassification. → PubMed
  • Wildman et al. (2008): "The obese without cardiometabolic risk factor clustering and the normal weight with cardiometabolic risk factor clustering." Arch Intern Med 168(15):1617–1624. The 4-phenotype classification. → PubMed
  • Thomas et al. (2013): "Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model." PLOS ONE 8(7). BRI formula and validation. → PubMed
  • Krakauer & Krakauer (2012): "A new body shape index predicts mortality hazard independently of body mass index." PLOS ONE 7(7). ABSI derivation and mortality association. → PubMed
  • Smith et al. (2019): "Triglyceride-glucose index as a marker of insulin resistance: a systematic review." JAMA Network Open. TyG vs HOMA-IR correlation r=0.77. → PubMed
  • Tobias et al. (2014): "Body-mass index and waist-circumference cutoffs." Int J Obesity. WHtR outperforms BMI for metabolic syndrome prediction. → PubMed
  • Ashwell, Gunn & Gibson (2012): "Waist-to-height ratio is a better screening tool than waist circumference." Obesity Reviews 13(3):275–286. Meta-analysis of 31 studies, 300,000+ participants. → PubMed
  • Matthews et al. (1985): "Homeostasis model assessment." Diabetologia 28(7):412–419. Original HOMA-IR derivation. → PubMed
  • NCEP ATP III (2001, updated 2005): Metabolic Syndrome criteria: ≥3 of: abdominal obesity, elevated triglycerides, low HDL, elevated blood pressure, elevated fasting glucose. → NIH

Expert Insights

"Normal-weight individuals with metabolic abnormalities had a similar or greater risk of death compared with obese individuals without metabolic abnormalities. Metabolic health status is a stronger predictor of mortality than weight status."

— Wildman et al., Archives of Internal Medicine (2008)

"The TyG index is a simple, inexpensive, and reliable surrogate marker of insulin resistance that can be measured in most clinical and epidemiological settings where fasting insulin is unavailable."

— Simental-Mendía et al., Cardiology Journal (2008)

Frequently Asked Questions

A composite score (0–100) aggregating body composition and metabolic markers. Tier 1 (body measurements only) weights BMI, WHtR, BRI, and ABSI. Adding blood values (Tier 2/3) improves accuracy significantly. It is not a clinical diagnostic — use it as a screening and tracking tool.
BRI uses height and waist circumference to model the body as an ellipse and estimate visceral adiposity. Developed by Thomas et al. (2013), it correlates better with visceral fat than BMI. Values: <3.0 lean, 3.0–4.5 normal, 4.5–6.0 elevated, >6.0 high visceral fat risk.
TyG = ln(Triglycerides mg/dL × Fasting Glucose mg/dL / 2). A validated surrogate for insulin resistance. Values: <8.0 normal, 8.0–8.5 borderline, ≥8.5 insulin resistant. Available from any standard blood panel — no fasting insulin test required.
HOMA-IR = (Fasting Insulin × Fasting Glucose) / 405. Normal: <1.0. Early insulin resistance: 1.0–2.5. Significant resistance: >2.5. Severe: >3.5. It requires a fasting insulin blood test, not part of standard panels — ask your GP specifically.
Normal Weight Obesity (NWO) or Metabolically Unhealthy Normal Weight (MUHNW): normal BMI (18.5–24.9) with metabolic dysfunction — elevated visceral fat, insulin resistance, and/or dyslipidaemia. Prevalence: ~24% of normal-BMI US adults (Romero-Corral et al., 2008). Associated with same cardiovascular risk as obesity.
ABSI (A Body Shape Index) = WC / (BMI^(2/3) × H^(1/2)). It isolates waist circumference as an independent mortality predictor. Higher ABSI z-score indicates greater risk. Krakauer & Krakauer (2012) showed a 1 standard deviation increase in ABSI is associated with 13–18% increased mortality hazard.
NCEP ATP III defines metabolic syndrome as ≥3 of: (1) Waist >102 cm (M) / >88 cm (F); (2) Triglycerides ≥150 mg/dL; (3) HDL <40 mg/dL (M) / <50 mg/dL (F); (4) Blood pressure ≥130/85 mmHg; (5) Fasting glucose ≥100 mg/dL.
Yes. Evidence-based interventions with strongest metabolic impact: (1) Resistance training — increases insulin sensitivity by 20–30% (Colberg et al., Diabetes Care, 2010); (2) Zone 2 cardio (150 min/week) — reduces triglycerides and visceral fat; (3) Reduced refined carbohydrates — lowers TyG index; (4) 7–9 hours sleep — poor sleep raises fasting glucose and cortisol; (5) Waist reduction of 5–10 cm can shift metabolic phenotype.

For informational purposes only — not medical advice. Results are estimates based on population-validated formulas. Consult a physician for clinical assessment. Full terms