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Health & FitnessGenerated accuracy model review: 2026-05-06

Lean Body Mass accuracy and testing

This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.

Formula source

  • This calculator uses the **Boer Formula**, considered one of the most accurate predictive equations: * **Men:** LBM = (0.407 × W) + (0.267 × H) - 19.2 * **Women:** LBM = (0.252 × W) + (0.473 × H) - 48.3 Where W is weight in kg and H is height in cm.

Test cases

Default input regression check

Generated from the checked-in default inputs and calculate function.

Inputs

  • Gender: Male
  • Height: 175 cm
  • Weight: 80 kg

Expected outputs

  • Lean Body Mass: 60.1 kg
  • Est. Body Fat %: 24.90%

Known limitations

  • Predictive formulas are averages. Extremely muscular individuals (bodybuilders) may have their LBM underestimated.

Assumptions

  • The estimate relies on predictive formulas rather than direct body-composition scans.
  • Inputs such as height, weight, sex, and body fat are used as simplified proxies for lean tissue.
  • Real lean mass can differ when hydration, training status, or measurement quality changes.

Unit handling

  • Gender accepts one of the configured options.
  • Height accepts values in cm.
  • Weight accepts values in kg.
  • Lean Body Mass is displayed in kg.
  • Est. Body Fat % is displayed as a percentage.

Rounding rules

  • Number displays use up to 2 decimal places in the calculator UI.
  • Percent outputs are displayed with two decimal places.

Version history

1.0.0 - 2026-05-06

Generated accuracy and testing page from the current lean-body-mass-calculator calculator definition.

Change log

2026-05-06

Published default regression test documentation and metadata fallbacks for Lean Body Mass.

Calculator transparency

Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.

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