Harris-Benedict Equation (Male)

$$BMR = 88.362 + 13.397w + 4.799h - 5.677a$$

Variables

Symbol Name Unit Description
$BMR$ Basal Metabolic Rate kcal/day Energy expenditure at complete rest.
$w$ Body weight kg Total body mass in kilograms.
$h$ Height cm Standing height in centimetres.
$a$ Age years Age in whole years.

Harris-Benedict Equation (Male) — 1984 Revision

The revised Harris-Benedict equation for males is:

$$BMR = 88.362 + 13.397w + 4.799h - 5.677a$$

This equation was revised by Roza and Shizgal in 1984 from the original 1919 Harris-Benedict formula. It predicts the calories a man burns at rest per day, based on weight (kg), height (cm), and age (years).

Historical Significance

The Harris-Benedict equation was the dominant clinical standard for over 60 years. Before computers, it was the most practical validated equation available, and clinicians memorised its structure. Even today, many hospital nutritional support protocols are built on Harris-Benedict calculations that pre-date the Mifflin-St Jeor revision.

How It Compares to Mifflin-St Jeor

The Mifflin-St Jeor equation (1990) was derived from a larger, more representative sample and tends to predict measured BMR more accurately in the general population. Harris-Benedict tends to overestimate BMR by approximately 5% on average.

Metric Harris-Benedict Mifflin-St Jeor
Sample size 239 (1919), 337 (1984) 498 (1990)
Average error ~12% ~10%
Tendency Overestimate More accurate

Despite this, Harris-Benedict remains widely used in clinical settings where legacy software or established protocols have not been updated.

Interpreting the Constants

  • 88.362: The male basal intercept — minimum caloric cost of being alive for an average adult male body framework.
  • 13.397w: Weight coefficient — each kg of body mass adds ~13.4 kcal/day.
  • 4.799h: Height coefficient — each cm of height adds ~4.8 kcal/day.
  • −5.677a: Age coefficient — each year of age reduces BMR by ~5.7 kcal/day.

The large weight coefficient compared to Mifflin-St Jeor (13.4 vs 10) partly explains why Harris-Benedict overestimates BMR, particularly in heavier individuals.

Derivation & History

James Arthur Harris and Francis Gano Benedict published the original equations in 1919 based on measurements of 239 subjects using closed-circuit spirometry. Their sample was largely young, healthy, and non-obese by modern standards.

In 1984, Allan Roza and Harry Shizgal re-derived the equation coefficients using a larger dataset of 337 subjects and more refined indirect calorimetry techniques, correcting for the systematic errors in the original 1919 version. The revised coefficients (88.362, 13.397, 4.799, 5.677 for males) are what most clinical references call the "Harris-Benedict equation" today, though the 1919 original (with slightly different constants) still appears in some older textbooks.

Worked Examples

35-year-old male

  1. 13.397 × 75 = 1,004.775
  2. 4.799 × 178 = 854.222
  3. 5.677 × 35 = 198.695
  4. BMR = 88.362 + 1,004.775 + 854.222 − 198.695 = 1,748.66 kcal/day

Result: BMR ≈ 1,749 kcal/day

55-year-old male, heavier build

  1. 13.397 × 100 = 1,339.7
  2. 4.799 × 183 = 878.217
  3. 5.677 × 55 = 312.235
  4. BMR = 88.362 + 1,339.7 + 878.217 − 312.235 = 1,994.04 kcal/day

Result: BMR ≈ 1,994 kcal/day

Edge Cases & Limitations

Obesity: The large weight coefficient causes Harris-Benedict to systematically overestimate BMR in obese individuals (BMI ≥ 30), because fat tissue is less metabolically active than lean tissue but its weight still inflates the prediction.

Very low body weight: In severely malnourished patients, metabolic adaptation reduces actual BMR below predictions.

Critical illness: Burns, sepsis, or major surgery can dramatically increase metabolic rate (up to 2× BMR); stress factors must be applied separately.

Real-World Applications

Harris-Benedict underpins many hospital enteral and parenteral nutrition (tube feeding) protocols still in use today. ICU dietitians apply stress factors (injury factor, fever factor) on top of the Harris-Benedict BMR. Pre-2000 fitness software, some gym assessments, and legacy EMR nutritional modules continue to use this equation. Understanding it helps interpret older clinical notes and research papers that predate Mifflin-St Jeor adoption.

Try This Formula