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Dedicated to Improving 
Metabolic Health in Malta
  • Home
  • Search
  • Reversing T2
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  • WHO
  • Data
    • Blog
    • Amanda Atkins
    • Fixing MetabolicHealth
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    • Malta Debrief 2024
    • Public Health 09 01 24
    • Obesity in Malta
    • Public Health Data
    • UnderstandingEpidemiology

Understanding epidemiology

The Role of Bias in Nutritional Research.

  John P.A. Ioannidis, C.F. Rehnborg Professor in Disease Prevention in the School of Medicine, and Professor, by Courtesy, of Statistics and Biomedical Data Science, Stanford University, presented "The role of bias in nutritional research" at the Swiss Re Institute's "Food for thought: The science and politics of nutrition" conference on 14 - 15 June 2018 in Rüschlikon.

"Nutritional Science is entirely unreliable"

 Vinay Prasad, MD, MPH. Physician & Professor, Hematologist/ Oncologist, explains how the NHANES data set is used to create thousands of studies that could mean anything.

Vinay Prasad MD MPH

NHANES Food Frequency Questionnaire.

  If you listen to the previous presentations, then check out what this NHANES survey actually looks like:

Obsessed with identifying low fat foods, ignores soyabean all together. Most categories are a mix of proteins and starches - it's a complete muddle. 

Whoever wrote it is obsessed with both low-fat products, fruits, and has little concept of actual foods. For example, what exactly is "low fat butter"? Why is soy milk and dairy lumped together? This is not a food group! Chicken nuggets and chicken are not a category either. 

It is American based, a country with a huge fast-food culture and a vast array of ethnic foods. One wouldn't think so.

There is no likelihood whatsoever that using this kind of dataset will yield anything useful as regards what to eat! Try to complete it yourself.

Nhanes.pdf
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