Good news! You’re likely burning more calories than you thought

Leading standardized equations used to predict or estimate walking energy expenditure — calories burned — count too few calories in nearly all cases on level surfaces, study finds. New method improves accuracy.

Walking is the most common exercise, and many walkers like to count how many calories are burned.

Little known, however, is that the leading standardized equations used to predict or estimate walking energy expenditure — the number of calories burned — assume that one size fits all. The equations have been in place for close to half a century and were based on data from a limited number of people.

A new study at Southern Methodist University, Dallas, found that under firm, level ground conditions, the leading standards are relatively inaccurate and have significant bias. The standards predicted too few calories burned in 97 percent of the cases researchers examined, said SMU physiologist Lindsay Ludlow.

A new standardized equation developed by SMU scientists is about four times more accurate for adults and kids together, and about two to three times more accurate for adults only, Ludlow said.

“Our new equation is formulated to apply regardless of the height, weight and speed of the walker,” said Ludlow, a researcher in the SMU Locomotor Performance Laboratory of biomechanics expert Peter Weyand. “And it’s appreciably more accurate.”

Ludlow and her colleagues report the new equation in the Journal of Applied Physiology, “Energy expenditure during level human walking: seeking a simple and accurate predictive solution.” The article is published in the March 1, 2016 issue, and available online at this link.

“The economy of level walking is a lot like shipping packages – there is an economy of scale,” said Weyand, a co-author on the paper. “Big people get better gas mileage when fuel economy is expressed on a per-pound basis.”

The SMU equation predicts the calories burned as a person walks on a firm, level surface. Ongoing research is expanding the algorithm to predict the calories burned while walking up- and downhill, and while carrying loads, Ludlow said.

SMU’s research is funded by the U.S. Department of Defense Medical Research and Materiel Command. The grant is part of a larger DOD effort to develop load-carriage decision-aid tools to assist foot soldiers.

The research comes at a time when greater accuracy combined with mobile technology, such as wearable sensors like Fitbit, is increasingly being used in real time to monitor the body’s status. The researchers note that some devices use the old standardized equations, while others use a different method to estimate the calories burned.

New equation considers different-sized people
To provide a comprehensive test of the leading standards, SMU researchers compiled a database using the extensive walking metabolism data available in the existing scientific literature to evaluate the leading equations for walking on level ground.

“The SMU approach improves upon the existing standards by including different-sized individuals and drawing on a larger database for equation formulation,” Weyand said.

The new equation achieves greater accuracy by better incorporating the influence of body size, and by specifically incorporating the influence of height on gait mechanics. Specifically:

• Bigger people burn fewer calories on a per pound basis of their body weight to walk at a given speed or to cover a fixed distance;
• The older standardized equations don’t account for size differences well, assuming roughly that one size fits all.

Accuracy of standardized equations had not previously undergone comprehensive evaluation
The exact dates are a bit murky, but the leading standardized equations, known by their shorthand as the “ACSM” and “Pandolf” equations, were developed about 40 years ago for the American College of Sports Medicine and for the military, Ludlow said.

The Pandolf method, for example, draws on walking metabolism data from six U.S. soldiers, she said. Both the Pandolf and ACSM equations were developed on a small number of adult males of average height.

The new more accurate equation will prove useful. Predicting energy expenditure is common in many fields, including those focused on health, weight loss, exercise, military and defense, and professional and amateur physical training.

“Burning calories is of major importance to health, fitness and the body’s physiological status,” Weyand said. “But it hasn’t been really clear just how accurate the existing standards are under level conditions because previous assessments by other researchers were more limited in scope.”

Energy expenditure estimates could assist with monitoring the body’s physiological status
Accurate estimations of the rate at which calories are burned could potentially help predict a person’s aerobic power and likelihood for executing a task, such as training for an athletic competition or carrying out a military objective.

In general, the new metabolic estimates can be combined with other physiological signals such as body heat, core temperature and heart rate to improve predictions of fatigue, overheating, dehydration, the aerobic power available, and whether a person can sustain a given intensity of exercise.

Military seeks solutions to overburdened soldier problem
The military has a major interest in more accurate techniques to help address their problem of over-burdened soldiers.

“These soldiers carry incredible loads — up to 150 pounds, but they often need to be mobile to successfully carry out their missions,” said Weyand, a professor of Applied Physiology and Wellness in the SMU Simmons School of Education.

Accurately predicting how many calories a person expends while walking could supply information that can help soldiers avoid thermal stress and fatigue in the field, especially troops deployed to challenging environments.

“Soldiers incur a variety of physiological and musculoskeletal stresses in the field,” Weyand said. “Our metabolic modeling work is part of a broader effort to provide the Department of Defense with quantitative tools to help soldiers.” — Margaret Allen

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