E286: How 'least cost diet' models fuel food security policy cover art

E286: How 'least cost diet' models fuel food security policy

E286: How 'least cost diet' models fuel food security policy

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 In this episode of the Leading Voices in Food podcast, host Norbert Wilson is joined by food and nutrition policy economists Will Masters and Parke Wilde from Tufts University's Friedman School of Nutrition, Science and Policy. The discussion centers around the concept of the least cost diet, a tool used to determine the minimum cost required to maintain a nutritionally adequate diet. The conversation delves into the global computational methods and policies related to least cost diets, the challenges of making these diets culturally relevant, and the implications for food policy in both the US and internationally. You will also hear about the lived experiences of people affected by these diets and the need for more comprehensive research to better reflect reality. Interview Summary I know you both have been working in this space around least cost diets for a while. So, let's really start off by just asking a question about what brought you into this work as researchers. Why study least cost diets? Will, let's start with you. I'm a very curious person and this was a puzzle. So, you know, people want health. They want healthy food. Of course, we spend a lot on healthcare and health services, but do seek health in our food. As a child growing up, you know, companies were marketing food as a source of health. And people who had more money would spend more for premium items that were seen as healthy. And in the 2010s for the first time, we had these quantified definitions of what a healthy diet was as we went from 'nutrients' to 'food groups,' from the original dietary guidelines pyramid to the MyPlate. And then internationally, the very first quantified definitions of healthful diets that would work anywhere in the world. And I was like, oh, wow. Is it actually expensive to eat a healthy diet? And how much does it cost? How does it differ by place location? How does it differ over time, seasons, and years? And I just thought it was a fascinating question. Great, thank you for that. Parke? There's a lot of policy importance on this, but part of the fun also of this particular topic is more than almost any that we work on, it's connected to things that we have to think about in our daily lives. So, as you're preparing and purchasing food for your family and you want it to be a healthy. And you want it to still be, you know, tasty enough to satisfy the kids. And it can't take too long because it has to fit into a busy life. So, this one does feel like it's got a personal connection. Thank you both for that. One of the things I heard is there was an availability of data. There was an opportunity that seems like it didn't exist before. Can you speak a little bit about that? Especially Will because you mentioned that point. Will: Yes. So, we have had food composition data identifying for typical items. A can of beans, or even a pizza. You know, what is the expected, on average quantity of each nutrient. But only recently have we had those on a very large scale for global items. Hundreds and hundreds of thousands of distinct items. And we had nutrient requirements, but only nutrient by nutrient, and the definition of a food group where you would want not only the nutrients, but also the phytochemicals, the attributes of food from its food matrix that make a vegetable different from just in a vitamin pill. And those came about in, as I mentioned, in the 2010s. And then there's the computational tools and the price observations that get captured. They've been written down on pads of paper, literally, and brought to a headquarters to compute inflation since the 1930s. But access to those in digitized form, only really in the 2000s and only really in the 2010s were we able to have program routines that would download millions and millions of price observations, match them to food composition data, match that food composition information to a healthy diet criterion, and then compute these least cost diets. Now we've computed millions and millions of these thanks to modern computing and all of that data. Great, Will. And you've already started on this, so let's continue on this point. You were talking about some of the computational methods and data that were available globally. Can you give us a good sense of what does a lease cost diet look like from this global perspective because we're going to talk to Parke about whether it is in the US. But let's talk about it in the broad sense globally. In my case the funding opportunity to pay for the graduate students and collaborators internationally came from the Gates Foundation and the UK International Development Agency, initially for a pilot study in Ghana and Tanzania. And then we were able to get more money to scale that up to Africa and South Asia, and then globally through a project called Food Prices for Nutrition. And what we found, first of all, is that to get agreement on what a healthy diet means, we needed to go to something like the least common denominator....
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