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Short Summary: The flaws of nutrition epidemiology with Dr. John Speakman
About the guest: John Speakman, PhD is a professor at the University of Aberdeen and runs a lab in Shenzhen, China, focusing on energy balance, obesity, and aging.
Note: Podcast episodes are fully available to paid subscribers on the M&M Substack and everyone on YouTube. Partial versions are available elsewhere. Transcript and other information on Substack.
Episode Summary: Dr. John Speakman explores the pitfalls of nutrition epidemiology, a field that links diet to health outcomes like cancer and obesity but often produces contradictory results. They discuss flawed methods like 24-hour recalls and food frequency questionnaires, which rely on memory and are prone to bias, and introduce Speakman’s new tool using doubly labeled water to screen implausible dietary data. The conversation highlights systematic biases, such as under-reporting by heavier individuals, and emerging technologies like photo diaries and AI for better dietary tracking.
Key Takeaways:
Related episode:
*Not medical advice.
Support the show
Affiliates:
For all the ways you can support my efforts
By Nick Jikomes4.8
7878 ratings
Send us a text
Short Summary: The flaws of nutrition epidemiology with Dr. John Speakman
About the guest: John Speakman, PhD is a professor at the University of Aberdeen and runs a lab in Shenzhen, China, focusing on energy balance, obesity, and aging.
Note: Podcast episodes are fully available to paid subscribers on the M&M Substack and everyone on YouTube. Partial versions are available elsewhere. Transcript and other information on Substack.
Episode Summary: Dr. John Speakman explores the pitfalls of nutrition epidemiology, a field that links diet to health outcomes like cancer and obesity but often produces contradictory results. They discuss flawed methods like 24-hour recalls and food frequency questionnaires, which rely on memory and are prone to bias, and introduce Speakman’s new tool using doubly labeled water to screen implausible dietary data. The conversation highlights systematic biases, such as under-reporting by heavier individuals, and emerging technologies like photo diaries and AI for better dietary tracking.
Key Takeaways:
Related episode:
*Not medical advice.
Support the show
Affiliates:
For all the ways you can support my efforts

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