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Nutrition Science and Everyday Application - beta v 0.1

Nutrition Science and Everyday Application - beta v 0.1

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98 ALICE CALLAHAN, PHD, HEATHER LEONARD, MED, RDN, AND TAMBERLY POWELL, MS, RDN<br />

CHALLENGES IN NUTRITION RESEARCH<br />

How does the food we eat affect our health? This question is exceedingly difficult to answer<br />

with certainty. We all need to eat every day, but we can choose from a huge array of<br />

possible foods in different combinations. And it’s probably not what we eat on any given day<br />

that matters, but what we eat over months <strong>and</strong> years <strong>and</strong> decades—our long-term eating<br />

patterns—that matter to our long-term health.<br />

Imagine that you’re a nutrition researcher, <strong>and</strong> you’ve made the observation that over<br />

the last 50 years in the U.S., people have been consuming more <strong>and</strong> more processed foods<br />

(foods made with refined ingredients <strong>and</strong> industrial processes, usually with the addition of<br />

sugar, fat, <strong>and</strong>/or salt). You hypothesize that processed foods are contributing to obesity,<br />

which has also increased over the last 50 years. You might first test your hypothesis in<br />

animal studies by feeding mice <strong>and</strong> rats a buffet of potato chips, soda, <strong>and</strong> Twinkies, <strong>and</strong><br />

measuring changes in their body weight. You might find that the animals do, in fact, gain<br />

weight on this diet. However, you know that what is true in rodents isn’t always true in<br />

humans, <strong>and</strong> you’ll need to study humans in order to underst<strong>and</strong> the role of processed foods<br />

in the obesity epidemic.<br />

Your next step might be to conduct an observational study, the most common type of<br />

study design in human nutrition research. For example, you might do a cross-sectional<br />

study where you compare groups of people who eat a lot of processed foods with those who<br />

eat very little. Or you might conduct a prospective cohort study in which you ask people

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