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Sigma Nutrition Radio

#589: Causal Inference in Nutrition Science – Daniel Ibsen, PhD

Sigma Nutrition Radio

Danny Lennon

Health & Fitness, Nutrition

4.8 • 633 Ratings

🗓️ 30 December 2025

⏱️ 61 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

This episode explores how asking better questions and using stronger methods can resolve much of the confusion in nutrition science. Dr. Daniel Ibsen discusses why nutrition research often produces conflicting results and how careful methodological thinking can clarify true diet-disease relationships.

Nutrition science has unique challenges – diets are complex, people self-report their food intake imperfectly, and we can't easily run long-term diet experiments on people. Dr. Ibsen explains how embracing concepts like food substitution analysis, the "target trial" framework, and objective dietary assessment can strengthen evidence.

The episode centers on methodological insights that make nutrition research more reliable and actionable. Key themes include defining dietary comparisons explicitly (the "compared to what?" question), considering people's starting diets, and using causal inference techniques to design better studies.

Daniel B. Ibsen is an epidemiologist and nutritional scientist whose work bridges rigorous causal inference methods with real-world diet and cardiometabolic disease research. He is an Associate Professor at Aarhus University, Denmark.

Timestamps

  • [00:13] Introduction to the topic
  • [03:23] Interview start
  • [08:02] The importance of asking the right questions in nutrition science
  • [22:18] Understanding causal inference in nutrition
  • [28:58] Challenges and approaches in nutrition epidemiology
  • [32:07] Mimicking dietary interventions in studies
  • [32:55] Target trial framework
  • [39:52] Objective vs. subjective dietary assessment
  • [47:01] Why causal effects of ultra-processed foods cannot be identified

Links/Resources:

Transcript

Click on a timestamp to play from that location

0:00.0

Hello and welcome to Sigma Nutrition Radio. This is episode 589 of the podcast. My name is Danny Lennon.

0:08.3

You are very welcome to the show. Today we're going to be looking at some of the aspects that are a bit

0:14.4

on the deeper side when it comes to nutrition research. We're going to dig into the concept of causal inference, how we try and answer causal questions within nutrition and within specifically nutrition epidemiology.

0:29.6

Some of the issues that come up when we're trying to answer questions in nutrition or trying to interpret studies and walking through some of the

0:38.9

aspects that we can do better nutrition science going forward and how we can make sense of

0:44.9

studies that are seemingly conflicting about a certain topic.

0:48.9

But in reality, we can understand them much more if we understand what methods are being

0:53.4

used, what are the strengths

0:55.1

and weaknesses of those and how those studies are actually designed, asking, is this an appropriate

1:01.0

design for the question we are trying to answer? And so to walk through this concept, I'm going to be

1:06.5

talking with Dr. Daniel Ibsen, who is an epidemiologist and nutritional science, whose work bridges

1:13.5

rigorous causal inference methods, which we'll be discussing today, as well as looking at

1:18.5

real world diet and cardiometabolic disease research. He's currently an associate professor

1:24.0

at Arworth University in Denmark, and his work has spanned across a whole range of

1:29.5

topics all the way from things like objective dietary biomarkers to type 2 diabetes, and then

1:35.4

specifically on some of the nutrition science methods that we'll discuss today, so looking at

1:41.4

substitution models or causal claims in epidemiology.

1:46.3

And so hopefully this will help clarify some of the terms you may have heard on previous episodes of the podcast or concepts that we have referred to quite regularly.

1:57.0

And indeed, a number of the episodes that Dr. Alan Flanagan and I have done have broached some of the topics we'll discuss today.

2:04.6

And so hopefully this serves as not only a refresher of some of those ideas, but goes a bit deeper into that to make sure that they really make sense.

2:14.2

And so if you're someone who likes the conversation around methods that are used

2:18.4

within nutrition research and how to interpret nutrition studies, this will be quite detailed.

...

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