Hello from Makhsud — bringing my health measurements into one picture

Hello & Welcome
#1

Hello everyone,

I’m Makhsud, a PhD researcher in biotechnology. I’m interested in understanding my own health as I age and learning how others make sense of their personal data.

I collect laboratory results, blood pressure readings, metabolic data, and information about activity, sleep, and physical ability. My challenge has been connecting these pieces. Physical activity doesn’t answer every question about my health, and more measurements don’t automatically make the picture clearer. That led me to build Healthspan Intelligence, a free educational tool that organizes information across 13 health areas. I use it myself to identify gaps, keep follow-up actions in view, and track measurements over time. Developing it has also exposed how easily a favorable summary score can obscure something that still deserves attention. I recently had another blood draw to update missing information. Once the results arrive, I hope to share what I learn—including what remains uncertain.
The project is still evolving. It is not a diagnostic tool. For anyone curious, here is the introduction:
https://yourhealthyprostate.com/healthspan/

How do you bring different kinds of health information together without losing important details? I’d welcome your experiences and suggestions, and would be happy to share a short walkthrough if useful.

Makhsud

#2

An update on my health self-tracking project: What five months of lifestyle changes revealed

When I introduced Healthspan Intelligence here, I mentioned that I was waiting for another round of blood tests.

The results arrived, and they gave me an interesting example of why I started this project.

Over approximately five months, after making several changes to my diet and daily habits, my lipid profile changed:

| Cholesterol marker | Before | After |
|—|—:|—:expressionless:
| Total cholesterol | 199 | 181 |
| LDL cholesterol | 138 | 112 |
| HDL cholesterol | 52 | 61 |
| Triglycerides | 51 | 48 |

All values are in mg/dL.

My LDL decreased by 18.8%, HDL increased by 17.3%, total cholesterol declined by 9%, and triglycerides remained low.

These were encouraging changes. However, my HbA1c remained unchanged at 5.9%.

Initially, I was disappointed. I had expected the improvements in my diet to produce more favorable blood sugar results as well.

But when I examined the measurements together, I began to see them differently. Some indicators were moving in a favorable direction, while others suggested that I needed more information or perhaps a different approach.

As a researcher, I recognize that these observations cannot establish which dietary changes caused the improvements. Nevertheless, they provide useful information for deciding what deserves attention next.

This experience reinforced one of the principles behind Healthspan Intelligence: health is multidimensional, and improvement in one area does not necessarily mean improvement everywhere.

I’m interested in how others working with personal health data handle this challenge.

How do you visualize and interpret mixed health trends, especially when some measurements improve while others remain unchanged, without reducing everything to a single potentially misleading health score?

I’d welcome your experiences, suggestions, or examples of useful self-tracking approaches.