Is Nutrition A Soft Science?: Problems with Nutrition Research
Someone once asked me, "Is nutrition a soft science,
like psychology?"
Correlation means that two things seem to be related but one may not necessarily cause the other. For example, maybe we look at a group of people living in China and say, "They eat wolfberries and they have fewer chronic diseases than Americans." This doesn't mean that eating wolfberries prevents chronic disease.
Confounding means there might be other factors. One factor might be their genetics. Maybe it's due to other foods they eat. Or, maybe many of the study participants lived on farms instead of cities. Maybe they have better stress management skills, etc. It's hard to know the reason they had fewer chronic diseases.
For example, the Academy of Nutrition and Dietetics Evidence Analysis Library grades the available studies as good/strong evidence, fair, limited/weak, expert opinion only, or not assignable. See screenshot below.
There may not be a straightforward
"yes" or "no" answer. So, I will warn you right now, this might be a long post...
Some areas of nutrition overlap with
"harder" sciences, like chemistry and biology. We know what a calcium
ion looks like (chemistry!). We know that there are different forms of some
minerals, like magnesium oxide vs. magnesium glycinate (again, chemistry). We
know that sailors who didn't get enough vitamin C developed bleeding gums or
scurvy (biology).
But, other topics within nutrition are
more "softer." They are more hotly debated and the research is
conflicting.
Let's explore this further...
Finding a Diet for Diabetes
Take, for example, the ketogenic
diet or a high-fat, low carb diet. Some scientists and healthcare workers
propose that it may be good for diabetes because carbs raise blood sugar.
Repeatedly high blood sugar over time can result in complications, like
neuropathy and kidney failure. In extreme cases, patients can enter a diabetic
coma and even die.
Sounds like a good argument to avoid carbs then, right?
Photo Credit Sharon McCutcheon |
Sounds like a good argument to avoid carbs then, right?
Well, no...Others say that a
moderate-carb diet is better. Doctors and dietitians recommend "carb
counting" or eating a certain number of carbs (often 45-60 grams per
meal). This doesn't mean eating refined sugar, but rather carbs from grains, legumes, tubers, vegetables, fruit, and dairy. They argue that your body needs carbs and that people with diabetes may
develop low blood sugar without them. There are people who are admitted to the
hospital because their blood sugar drops too low and they can develop
complications and even die.
Wait, what? So, who's right?
Good question. The answer is still
under debate because there's research to support both!
If you're interested in reading the
research yourself, L. Gupta, et al. (2017) put together
this review article that looked at studies of the
ketogenic diet and diabetes. In general, measurements of diabetes like
Hemoglobin A1c (HgbA1c) and fasting blood sugar improved. This suggests a
ketogenic diet might be helpful.
On the other hand, Drs. Ley, Hamdy, Mohan, and Hu (2014) put together
a review supporting a carbohydrate-rich diet.
They recommended eating whole grains, fruits, legumes, and vegetables--most of
which would be avoided or limited on a ketogenic diet!
This is why it's important for people with diabetes or other health conditions to work with a doctor and a Registered Dietitian. They can help you determine what is right for you.
Why do we have conflicting results?
One reason is that human studies can be hard to control. Unlike animals, we’re
not locked in cages being fed what the researchers give us and only doing
things they want us to do.
Usually researchers just ask participants to log food. If participants didn’t accurately report what they ate to the researchers, this may affect results.
Usually researchers just ask participants to log food. If participants didn’t accurately report what they ate to the researchers, this may affect results.
Photo Credit Ava Sol |
Studies on nutrition often have confounding
factors, too, which I will discuss more in a minute.
But, first, let’s look at some other issues
with studies on particular foods.
Studying Individual Foods
Often, studies aim to determine whether
or not a food is good for us. Is wine good for the heart? Does saccharin cause cancer?
In my last post, I wrote about
wolfberries a.k.a. goji berries, but I didn’t share much research with you for several reasons.
First off, studies
aren't always done in humans. Long and
colleagues studied chickens who had wolfberry extracts mixed into their corn
& soybean feed. Wanping Aw studied mice after his
team first made them sick by giving them a chemical called dextran sodium
sulfate. The results of these studies may not apply to humans.
Second, the doses used in studies
aren't what you'd get from eating a real wolfberry (or whatever food is being
studied). The recommended serving size for dried wolfberries is 40 grams or 1/4
cup. The above chicken study fed them 4 grams per kilogram body weight each
day for 6 weeks. So, a 150 pound person would have to eat 272 grams of
wolfberries or almost 7 times the recommended serving!
Even when studies are done in humans,
the results don’t have clear implications for other humans, because of correlation
and confounding.
Correlation and Confounding
I’ve mentioned these
terms twice now. What are "correlation" and "confounding"?
Correlation means that two things seem to be related but one may not necessarily cause the other. For example, maybe we look at a group of people living in China and say, "They eat wolfberries and they have fewer chronic diseases than Americans." This doesn't mean that eating wolfberries prevents chronic disease.
Confounding means there might be other factors. One factor might be their genetics. Maybe it's due to other foods they eat. Or, maybe many of the study participants lived on farms instead of cities. Maybe they have better stress management skills, etc. It's hard to know the reason they had fewer chronic diseases.
We see correlation and confounding in other types of science, too. For example, if we run a clinical trial of an antidepressant, the results may be confounded by other factors, like counseling and physical activity. That said, in medicine, we can run placebo-controlled studies, where someone is given either the active drug or an inactive version...which is harder to do in nutrition. We can't make a placebo-controlled study of whole foods, like berries, because the participants would know if they were eating berries or not.
Photo by Cecilia Par
So, then, how do dietitians know what to recommend?
Healthcare providers, such as doctors and dietitians, don't rely on the results of a single study. They often use guidelines by professional organizations, such as the Academy of Nutrition and Dietetics, the Society for Critical Care Medicine, or the European Society of Enteral and Parenteral Nutrition. These organizations complete reviews. That is, they sort through the available research to try to make recommendations based on the results.For example, the Academy of Nutrition and Dietetics Evidence Analysis Library grades the available studies as good/strong evidence, fair, limited/weak, expert opinion only, or not assignable. See screenshot below.
What does this mean for the blog?
I am planning to write more superfood posts. But, I will try to avoid claims, like that a particular food is an immune booster. My posts will focus on what science says, like that wolfberries contain vitamin C.