ASU scientist finds adult overweight population severely underestimated

Commonly used measures incorrectly classifying 500 million, has profound implications for public health

weight scale

An ASU scientist has found that commonly used measures have underestimated the global adult overweight population by 500 million people.

Every day, health care providers, public health practitioners and researchers use standard body mass index (BMI) cutoff points to classify individuals as overweight or obese, and to monitor population-level trends in over- and underweight people. According to a new study by ASU School of Human Evolution and Social Change associate professor Daniel Hruschka, these cutoff points incorrectly classify hundreds of millions of people worldwide, with profound implications for public health. 

BMI, a ratio of weight to height, is commonly used as a proxy measure of how much fat a body holds. Under the standard classification system, a person with a BMI between 25 kg/m2 and 29.9 kg/m2 is considered overweight, while someone with a BMI of 30 kg/m2 is considered obese. Someone with a BMI below 18.5 kg/m2 is considered underweight.  

While standard BMI cutoffs provide a quick and low-cost method to track weight trends for a population and identify risk for poor health outcomes like diabetes or wasting, they don’t account for substantial variation in body frame between different ethnic groups.

“There’s enormous variation in body frames between ethnolinguistic groups,” Hruschka said. “Groups like the Nuer in eastern Africa have on average very slender frames, whereas Inuit and other Arctic-adapted people are at the other extreme with stockier, more muscular frames. At the same BMI, a slender body will have more fat than a stocky body, because the slender person doesn’t have as much muscle or bone mass contributing to their overall mass.” 

Despite ethnic differences in body build, universal BMI categories based on a typical European body remain the global standard.

A study he worked on a few years ago aroused Hruschka’s skepticism of this one-size-fits-all approach to measuring and categorizing bodies.

“I started wondering more about BMI when we were looking at the relationship between household wealth and BMI,” he said. “We realized there were massive differences in BMI between different countries that couldn’t be accounted for by wealth.”

He also points to studies by economists that uncovered a similar paradox.

“It looked like children growing up in South Asia were more undernourished than kids in sub-Saharan Africa, but when you looked at diet and income data, that finding didn’t seem to make any sense.”

Since then, Hruschka and his colleague Craig Hadley at Emory University have been working steadily to account for differences in slenderness between groups.

“Coming from anthropology,” he said, “we are intrinsically aware of the vast amount of diversity in human populations and interested in the roots of this variation.”

Their research draws on the concept of basal slenderness — a body’s mass before packing on any extra fat. Basal slenderness includes lean mass — things like muscle, bones, and water — as well as a base amount of fat needed for survival. A body with less lean mass will be more slender than a body with more lean mass and will be able to hold more fat at the same BMI than a stockier body.

Scientists can assess basal slenderness through a few simple measurements: the width of the wrists and knees, the breadth of the shoulders and pelvis, and the ratio of sitting height to standing height (someone with a relatively long torso and shorter legs will have more lean mass, while someone with relatively long legs and a shorter torso will have less lean mass).

Using data for a range of ethnolinguistic groups worldwide, Hruschka and Hadley developed BMI cutoffs tailored to each group. Their results show that standard cutoffs underestimate overweight and obesity by 40 percent or more in many countries in sub-Saharan Africa, South Asia, and Southeast Asia, where populations tend to be more slender than Europeans.

“I was actually quite shocked by the magnitude,” Hruschka said. “I expected to see some bias, but when you realize you’re undercounting overweight by half a billion people, that’s really surprising.”

Applying their tailored BMI cutoffs to stockier populations also revealed dramatic results: standard classification underestimates underweight among adult women by more than 30 percent in many countries in Latin American and southeastern Africa. More critically, the cutoffs might underestimate undernutrition in children living in many countries. For example, Egypt is currently ranked 43rd globally for moderate childhood undernutrition, but when basal slenderness is taken into account, the nation rises to 12th.  

“This study is tremendously important, given that obesity is a major factor underlying the rise of chronic diseases like diabetes,” said Alexandra Brewis Slade, director of the School of Human Evolution and Social Change and co-director of Obesity Solutions. “We knew that obesity rates were increasing across the globe. But these findings show that using a single standard can dramatically underestimate rates.”

The World Health Organization and others have started to adjust BMI to account for ethnic differences, but they focus on large regions like South or East Asia. But Hruschka found tremendous variation within regions, and even within countries.

“The Sahel region in Africa, from Senegal to Ethiopia, is a zone of massive variation,” he said. “We found some of the greatest within-country variation in Cameroon, Chad, Nigeria, and Mauritania, all of which fall in the Sahel.”

Hruschka hopes the study’s findings will be used by public health practitioners and clinicians. “Our findings show that we need to reexamine which populations might need the most attention to prevent both obesity-related diseases and childhood malnutrition.”

Written by Erika Jermé, Mayo Clinic/ASU Obesity Solutions

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