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#personalizednutrition — Public Fediverse posts

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  1. #PersonalizedNutrition: "Another problem is that personalised nutrition research bases a good deal of its findings on analysis of mountains of data collected by its users. This throws up lots of associations between diet, blood glucose levels, weight and so on. But these “cross-sectional” studies can only ever find associations, not causation. So the existence of an association between greater spikes and higher average blood glucose levels, even in healthy people, does not tell us anything about causation. The higher spikes may be a consequence of an underlying metabolic problem, not the cause of one. If that were the case, keeping the spikes down would be addressing a signal of a problem, not its cause.

    Worse, in very large data sets, Guess explains, cross-sectional studies will inevitably generate false positives: associations that are statistically significant but in effect random, “like buying an iPhone on a Tuesday is associated with risk of Crohn’s”."

    theguardian.com/science/articl

  2. #PersonalizedNutrition: "Another problem is that personalised nutrition research bases a good deal of its findings on analysis of mountains of data collected by its users. This throws up lots of associations between diet, blood glucose levels, weight and so on. But these “cross-sectional” studies can only ever find associations, not causation. So the existence of an association between greater spikes and higher average blood glucose levels, even in healthy people, does not tell us anything about causation. The higher spikes may be a consequence of an underlying metabolic problem, not the cause of one. If that were the case, keeping the spikes down would be addressing a signal of a problem, not its cause.

    Worse, in very large data sets, Guess explains, cross-sectional studies will inevitably generate false positives: associations that are statistically significant but in effect random, “like buying an iPhone on a Tuesday is associated with risk of Crohn’s”."

    theguardian.com/science/articl

  3. #PersonalizedNutrition: "Another problem is that personalised nutrition research bases a good deal of its findings on analysis of mountains of data collected by its users. This throws up lots of associations between diet, blood glucose levels, weight and so on. But these “cross-sectional” studies can only ever find associations, not causation. So the existence of an association between greater spikes and higher average blood glucose levels, even in healthy people, does not tell us anything about causation. The higher spikes may be a consequence of an underlying metabolic problem, not the cause of one. If that were the case, keeping the spikes down would be addressing a signal of a problem, not its cause.

    Worse, in very large data sets, Guess explains, cross-sectional studies will inevitably generate false positives: associations that are statistically significant but in effect random, “like buying an iPhone on a Tuesday is associated with risk of Crohn’s”."

    theguardian.com/science/articl

  4. #PersonalizedNutrition: "Another problem is that personalised nutrition research bases a good deal of its findings on analysis of mountains of data collected by its users. This throws up lots of associations between diet, blood glucose levels, weight and so on. But these “cross-sectional” studies can only ever find associations, not causation. So the existence of an association between greater spikes and higher average blood glucose levels, even in healthy people, does not tell us anything about causation. The higher spikes may be a consequence of an underlying metabolic problem, not the cause of one. If that were the case, keeping the spikes down would be addressing a signal of a problem, not its cause.

    Worse, in very large data sets, Guess explains, cross-sectional studies will inevitably generate false positives: associations that are statistically significant but in effect random, “like buying an iPhone on a Tuesday is associated with risk of Crohn’s”."

    theguardian.com/science/articl