There is no globally accepted definition
of carbohydrate quality – no equation, algorithm, or succinct way of
identifying the quality of a carbohydrate-containing food, meal, or diet. Unlike
protein and fat – where deficiency can lead to serious and even life-threatening
situations – the physiological impacts of carbohydrate food intake are much
more complex and individualized. Effects can vary with one’s lifestyle, dietary
habits, health status, and age – among many other factors. Despite this complexity, carbohydrate
dietary guidance often heavily relies upon a single, simplistic marker –
Glycemic Index (GI) – despite its notable flaws and application limitations.
The Alliance for Potato Research and Education interviewed a select group of carbohydrate experts to better understand how the carbohydrate quality debate got to where it is today. This is the second of two articles exploring this topic – read the first article here.
Glycemic
Index is an oversimplified approach with unintended consequences
Since it was developed in the 1980’s, the
GI has been used as a simple surrogate for glycemic response – which was then
made a measure of carbohydrate quality. Yet, over the decades, numerous scientific
studies and nutrition experts have indicated that although the GI has its
utility in a clinical or laboratory setting, this metric has significant shortcomings
that make it a less-than-optimal measure of carbohydrate quality for consumers.
For one, experts argue that GI is a
narrow indicator. Jamie Baum, PhD from the University of Arkansas states that “GI
alone is not the right tool to determine the quality of a carbohydrate food. Among
other things, it fails to account for total nutrition – the vitamins, minerals,
fiber, and protein – in a food.” According to Julie Miller Jones, PhD, professor
emeritus from St. Catherine’s University, negative health consequences can
arise from selecting foods solely based on GI. “Some low-GI foods are high in fat and fructose, and elevated
intake of many of these foods is not advisable. Meanwhile, avoiding breads and
cereals – especially whole-grain versions – based on their high GI value might
lead to low intake of cereal fiber, a dietary component associated with lower
risk of cardiovascular disease and obesity. While avoiding potatoes due to GI concerns
means missing out on a food that has a high satiety value and is a low-cost
source of fiber and potassium.”
Even as a
research tool, GI has its limitations. Several studies suggest that the GI is
difficult to replicate, even in the same person following the same protocol. While
researchers have gotten better over the years with standardizing procedures to
minimize variability, people in the real world don’t live in the regimented way
of a laboratory setting. Human routines often differ from day-to-day or
week-to-week. Consequently, the GI results gathered under rigid lab conditions rarely
reflect the actual response in free-living situations.
Dr. Brooke
Devlin, PhD from Australian Catholic University pointed out several confounders
that make reliance on GI a dubious endeavor. “In the laboratory, the GI of a
food is assessed by testing that food in isolation, and not as part of a meal.
This is not how people eat in the real world. In addition, GI is usually tested
in healthy subjects in the morning, limiting its utility for people with type 2
diabetes or in assessing its effects when eaten at different times of the day,
including before or after meals. Finally, GI in the lab is based on the body’s
response to 50 grams of available carbohydrate in a food. In order to consume
50 grams of available carbohydrate, one would have to eat an entire mini
watermelon or unreasonable quantities of many other foods. The volume of food
required to obtain a GI value could certainly produce a false perspective of
the food’s impact on the body in normal circumstances.”
Nick Bellissimo, PhD from Ryerson
University in Toronto further elaborates on the concern with applying the GI to
real-life settings, where mixed meals are typically eaten, and different
preparation techniques are used. He explains, “a small amount of butter or oil
added to a high GI food can greatly reduce the glycemic response to that food
and, consequently, its GI. Additionally, evidence shows that two forms of the same food can lead to highly
different glycemic responses – such as choosing a store-bought frozen potato
product versus a homecooked potato. This makes GI an inadequate tool for
representing the highly varied food options chosen by consumers today.”
For all these
reasons, Richard Bruno, PhD, RD – a nutrition scientist at The Ohio State University
– says, “I don’t put too much stock in the GI as a marker of carbohydrate
quality. In a research setting, including my own where we study acute
hyperglycemia on vascular dysfunction, GI is a helpful tool to model responses
to isolated foods or to induce a physiological effect. However, it is nearly
impossible to predict the GI of a mixed food based on its macronutrient
composition. There are too many variables in play including carbohydrate type,
and interactions with other dietary constituents.”
Research and guidance
must move beyond GI to consider other impacts on health – both glycemic and
otherwise
While
carbohydrate-containing foods have often been classified according to their GI
value, this solitary and flawed focus needs to shift. According to Siddhartha
Angadi, PhD, a cardiovascular exercise physiologist and assistant professor at
the University of Virginia, carbohydrates may not even be the most concerning
macronutrient for insulin resistance and impaired glucose tolerance.
“Physiologists have known for close to a century that if you want to make
someone insulin resistant or worsen glucose tolerance in a clinical laboratory
setting, you feed them an excess amount of fat (especially saturated fat) – not
carbohydrates,” explains Dr. Angadi. “The decades-long focus on defining
carbohydrate foods based on GI therefore needs to shift to better health
indicators, especially when considering outcomes related to chronic disease.”
Of course, it is important to note that the health
impact of a carbohydrate-containing food is not just related to its nutritional
components. Dr. Angadi explains that “factors such as genetics, physical
activity, sex, age, and body mass index can have just as much of an impact on
the body’s metabolic response as the food itself.” Meanwhile, individual
choices such as food preparation techniques or specific meal combinations can
also have a notable impact, as explained by Dr. Bellissimo.
Developing a new definition for
quality carbohydrate-containing foods thus requires a shift away from the
singular focus on GI towards a more holistic approach. While focusing on the
nutritional value of a food is an important first step in defining quality, the
approach must also recognize the need for individualistic adaptations based on personal
lifestyle choice and genetic factors. Only then can a quality carbohydrate
definition be a truly valuable tool in helping consumers choose the right foods
that promote their health.