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Nutrition Science and Everyday Application - beta v 0.1

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TYPES OF RESEARCH STUDIES AND HOW TO INTERPRET THEM 93<br />

the drinks, but the athlete believed that the Super Duper Sports Drink was going to help him<br />

run faster, so he did. This improvement is due to the placebo effect. Ironically, a study similar<br />

to this example was published in 2015, demonstrating the power of the placebo effect on<br />

athletic performance. 3<br />

Figure 2.4. An example of the placebo effect<br />

Blinding is a technique to prevent bias in intervention studies. In a study without blinding,<br />

the subject <strong>and</strong> the researchers both know what treatment the subject is receiving. This can<br />

lead to bias if the subject or researcher have expectations about the treatment working, so<br />

these types of trials are used less frequently. It’s best if a study is double-blind, meaning that<br />

neither the researcher nor the subject know what treatment the subject is receiving.<br />

It’s relatively simple to double-blind a study where subjects are receiving a placebo or<br />

treatment pill, because they could be formulated to look <strong>and</strong> taste the same. In a single-<br />

blind study, either the researcher or the subject knows what treatment they’re receiving, but<br />

not both. Studies of diets—such as the Mediterranean diet example—often can’t be doubleblinded<br />

because the study subjects know whether or not they’re eating a lot of olive oil <strong>and</strong><br />

nuts. However, the researchers who are checking participants’ blood pressure or evaluating<br />

their medical records could be blinded to their treatment group, reducing the chance of bias.<br />

Like all studies, RCTs <strong>and</strong> other intervention studies do have some limitations. They can be<br />

difficult to carry on for long periods of time <strong>and</strong> require that participants remain compliant<br />

with the intervention. They’re also costly <strong>and</strong> often have smaller sample sizes. Furthermore,<br />

it is unethical to study certain interventions. (An example of an unethical intervention would<br />

be to advise one group of pregnant mothers to drink alcohol to determine its effects<br />

on pregnancy outcomes, because we know that alcohol consumption during pregnancy<br />

damages the developing fetus.)

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