This article describes a physiologically sound but rudimentary model for predicting body fat loss on a backpacking trip when you know the trip’s overall caloric deficit.

All-day backpacking can burn 5,000 to 8,000 kcal/day (this includes the sum of basal and activity-based energy requirements). For calorie-dense foods (e.g., 125 kcal/oz), this equates to 2.5 to 4.0 pounds of food per day. This is impractical. You can’t carry enough food to cover the caloric deficit you are likely to experience on a trip, and that deficit has to come from somewhere – your body fat stores are that source.

The central idea is based on the following:

fat loss (kg) = total energy deficit (kcal) × f ÷ 7,700 (kcal/kg)     (eq.1)

where 7,700 kcal/kg represents the energy density of one kilogram of body fat tissue. (Note: my physiology textbooks cite 9,000 to 9,500 kcal/kg as the energy density of pure triglyceride, but human adipose tissue is comprised of 15 to 20% water and supporting tissue, resulting in the commonly cited energy density of human body fat as 7,700 kcal/kg.)

In eq.1, f represents the fraction of your total energy deficit supplied by body fat, and can be approximated by:

f = min ( 1, E_fatmax​ ÷ Δ)    (eq.2)

where

  • Δ = daily average caloric deficit (kcal/day)
  • E_fatmax is the daily max fat-derived energy (kcal)

E_fatmax = FM × (60 + 4×H) × 0.85    (eq.3)

where

  • FM = body weight (kg) Ă— body fat percentage (%) and represents the body’s total fat mass store (kg)
  • 60 is a reasonable calibration parameter that represents a baseline daily capacity to supply energy from fat stores in the absence of activity (kcal/kg of body fat mass/day); 4Ă—H represents the additional energy that can be oxidized from the same fat in response to aerobic exercise (kcal/kg body fat per hr of hiking), where H = # of hours of hiking per day.
  • 0.85 represents an intensity penalty – a simplified way to encode that at higher intensities, a smaller fraction of energy comes from fat (relative to below your aerobic threshold (AeT), when carbohydrate reliance rises. Sub-AeT effort results in reducing penalty (1.0), and exceeding the AeT results in increasing the penalty (approaching 0.7).

The entire trip fat-loss estimate can then be described by combining eqs.1-3 as long as you can estimate the caloric deficit you expect each day.

For example, if I know I’ll expend 7,000 kcal/day while hiking 10 hours a day on average during a 14-day trip, and I’m packing 3,000 kcal/day of food, then my average deficit per day will be 4,000 kcal and the entire trip deficit will be 56,000 kcal.

I know my body weight (72 kg) and my body fat percentage (18%), so I can calculate E_fatmax = 72 Ă— 0.18 Ă— (60 + 4Ă—10) Ă— 0.85 = 1,102 kcal (eq.3).

Then, using eq.2, my fraction total energy deficit supplied by body fat, f, can be calculated as 1,102 kcal Ă· (4,000 kcal) = 0.28.

This indicates that about 28% of my total energy deficit will be supplied by body fat, and now I can calculate my approximate body fat loss during the 10-day trip from eq.1:

fat loss (kg) = 56,000 kcal Ă— 0.28 Ă· 7,700 kcal/kg = 2.0 kg (~ 4.5 lbs)

I find this method (based on body fat analyses performed before and after all of my long trips over the past 30 years) more accurate than the commonly used method for long-distance hikers, which assumes that “one pound of body fat can be converted to 3,500 kcal”. If I assumed that to be true, then my 56,000 kcal trip deficit would require me to lose 16 lbs of body fat – a gross overestimation of reality because of metabolic inefficiencies inherent to the complexity of human physiology.

The “3,500 kcal per lb” rule traces back to work by physician Max Wishnofsky in the late 1950s, where he asked: what is the caloric equivalent of one pound of body weight gained or lost? and concluded a value of about 3,500 kcal per lb.

The principles described here underpin fat loss modeling in the Metabolic Energy Mile framework and constitute a core component of our TRIPS application modeling architecture (Terrain and Route Intelligence Planning System), which is currently in development and slated for release in 2Q26.

screenshot of backpacking light TRIPS platform
Screenshot from the Backpacking Light TRIPS app, which includes physiological models for energy expenditure based on user profile, route, pack weight, terrain metrics, and more. Included is the fat loss model described in this article. For this route and user, the predicted fat loss over the 6-day duration of this trek is 1.6 lb (see Route Snapshot in lower right corner).