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Showing posts with the label health management software

Calling self-experimentation N=1 is incorrect and misleading

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This is not a post about semantics. Using “N=1” to refer to self-experimentation is okay, as long as one understands that self-experimentation is one of the most powerful ways to improve one’s health. Typically the term “N=1” is used in a demeaning way, as in: “It is just my N=1 experience, so it’s not worth much, but …” This is the reason behind this post. Using the “N=1” term to refer to self-experimentation in this way is both incorrect and misleading. Calling self-experimentation N=1 is incorrect The table below shows a dataset that is discussed in this YouTube video  on HealthCorrelator for Excel (HCE) . It refers to one single individual. Nearly all health-related datasets will look somewhat like this, with columns referring to health variables and rows referring to multiple measurements for the health variables. (This actually applies to datasets in general, including datasets about non-health-related phenomena.) Often each individual measurement, or row, will be associated ...

Health markers varying inexplicably? Do some detective work with HCE

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John was overweight, out of shape, and experiencing fatigue. What did he do? He removed foods rich in refined carbohydrates and sugars from his diet. He also ditched industrial seed oils and started exercising. He used HealthCorrelator for Excel (HCE)  to keep track of several health-related numbers over time (see figure below). Over the period of time covered in the dataset, health markers steadily improved. For example, John’s HDL cholesterol went from a little under 40 mg/dl to just under 70; see chart below, one of many generated by HCE. However, John’s blood pressure varied strangely during that time, as you can see on the chart below showing the variation of systolic blood pressure (SBP) against time. What could have been the reason for that? Salt intake is an unlikely culprit, as we’ve seen before . As it turns out, John knew that heart rate could influence blood pressure somewhat, and he also knew that his doctor’s office measured his heart rate regularly. So he got the dat...

The China Study II: A look at mortality in the 35-69 and 70-79 age ranges

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This post is based on an analysis of a subset of the China Study II data, using HealthCorrelator for Excel (HCE) , which is publicly available for download and use on a free trial basis. You can access the original data on the HCE web site, under “Sample datasets”. HCE was designed to be used with small and individual personal datasets, but it can also be used with larger datasets for multiple individuals. This analysis focuses on two main variables from the China Study II data: mortality in the 35-69 age range, and mortality in the 70-79 range. The table below shows the coefficients of association calculated by HCE for those two variables. The original variable labels are shown. One advantage of looking at mortality in these ranges is that they are more likely to reflect the impact of degenerative diseases. Infectious diseases likely killed a lot of children in China at the time the data was being collected. Heart disease, on the other hand, is likely to have killed more people in the...

HealthCorrelator for Excel (HCE) is now publicly available for free trial

HealthCorrelator for Excel (HCE)  is now publicly available for download and use on a free trial basis. For those users who decide to buy it after trying, licenses are available for individuals and organizations. If you are a gym member, consider asking your gym to buy an organizational site license; this would allow the gym to distribute individual licenses at no cost to you and your colleagues. HCE is a user-friendly Excel-based software that unveils important associations among health variables at the click of a button. Here are some of its main features: - Easy to use yet powerful health management software. - Estimates associations among any number of health variables. - Automatically orders associations by decreasing absolute strength. - Graphs relationships between pairs of health variables, for all possible combinations. The beta testing was successfully completed, with fairly positive results. (Thank you beta testers!) Among beta testers were Mac users. The main request fr...

HealthCorrelator for Excel 1.0 (HCE): Call for beta testers

This call is closed. Beta testing has been successfully completed. HealthCorrelator for Excel (HCE) is now publicly available for download and use on a free trial basis. For those users who decide to buy it after trying, licenses are available for individuals and organizations. To download a free trial version – as well as get the User Manual, view demo YouTube videos, and download and try sample datasets – visit the HealthCorrelator.com web site.