This is very interesting. However, our lifestyle is not very linear, meaning that we can have some period more stressful than over. In this context, how do you deal with confounding variables ?
For example, if my inflammation levels decrease in the next few weeks, it might be because I took some ginger everyday but it might also be because I had a less work and therefore more sleep.
Love this question. We can track as many additional variables as you like. For example - I track my lifestyle intervention (meditation) + 4 key dimensions of health (sleep, stress, nutrition, exercise) on a scale of 1-5 (1=bad, 5 = good). This gives me the added context you are talking about. In the future, we also plan to add the ability to connect to your wearables.
This is basically just facilitating people data dredging their own health. If you measure one outcome variable and enough "candidate" inputs you'll eventually find something that looks like a pattern.
As a doctor I measure CRP when I'm specifically looking for something - but that's in the context of having formed a differential diagnosis, then having considered the pre-test probably of each differential, and forming a view that the test result with alter the overall likely outcome. The last thing I would even want to do (for me or my patients) is to start randomly measuring CRP when generally well.
