Hi @Basil_Dev - You entered the wrong number for CRP on the spreadsheet. Where you have the 0.1 number, you should enter in the cell: =LN(0.1*0.1)
Once you do that, you’ll see a reduction in your calculated age (for both tests).
Also, for the inputted age of 55, if you want to be precise and differentiate the age for the two different tests, you can use this formula: =YEARFRAC(birthday, test date). You can enter you birthday and test date somewhere else on the spreadsheet and then use the formula to calculate your chronoglogical age at the time of the test.
Would you mind uploading the results again once you correct the CRP numbers?
Basil - are you putting the numbers in the yellow row (labeled “Input”) here as I’ve done in this example? it seems you may be inputing the information into the wrong row if you’re putting them into the row where you have highlighted in yellow above…
I think she put in the cInput row because they use different units in Australia than in the US. That’s fine for most of the numbers. However, for CRP, it’s not a linear conversion (like the other ones: albumin, creatinine, glucose), it’s a natural log calculation, hence the LN function. There is a LN function in the cell cInput for CRP, she just typed 0.1 in that cell, therefore overriding that formula.
Its an interesting thought that when you are deliberately constraining calories with a view to reducing weight (say) Albumin will go down. I am personally finding my Albumin just under 4g/dL. I am, on the other hand, losing about 1kg in weight each week.
OK - here are what I think are the actual numbers based on the revised information on CRP, etc… Does this look right? (the “correct” numbers are in the cInput row, ignore the yellow highlighted row).
I know I am not eating enough calories. That is deliberate because I want to lose fat. However, it is interesting to link this to my Albumin levels. I have weekly blood tests and I also track my weight daily. My albumin levels earlier this year were in the upper 40s and are now in the upper 30s. I was sort of wondering why. Although Phenoage say higher Albumin is good Michael Lustgarten did a video which referenced something saying in fact Albumin is a u shaped curve. I wonder if people when obese have higher Albumin and hence it is in part a proxy for that combined with liver function. Hence high Albumin means obesity and low Albumin means bad liver function. (unless someone is on CR of some form)
I much prefer biological age systems like the Levine Phenoage to the Methylation clocks. They can be linked to something functional.
I am not sure the CRP is right. It is probably a Units think. hsCRP goes down to 0.3 mg/L normally which is 0.03 mg/dL. Hence I don’t think you would have an input of 0.1 mg/L. Normal CRP goes as low as 0.6mg/L. It might be reasonable to put in 0.2, but also it might 1 and as it is logarithmic that will have an impact.
Because of all of the units things this can be a bit fiddly.
The hs-CRP test accurately detects lower levels of the protein than the standard CRP test. It measures CRP in the range from 0.3 to 10 mg/L. This test is used to evaluate individuals for risk of CVD.
What I find is different labs have different lower levels. One I use from time to time produces 0.41mg/L. I have had my own CRP below the hsCRP minimum since May 2022 so I have stopped tracking it regularly as it does not tell me anything. I will test it from time to time instead.
It is an interesting biomarker as to some extent it can indicate Senescent Cell load. It also indicates recent infection as it is driven by IL-6 which is part of SASP, but does other things.
How much fluctuation does an average person have in their aging clock scores? I have imagine it’s not stable across a year even without obvious changes in lifestyle, interventions, etc…
Basically is +/- a few years from measurement to measurement pretty typical?
Biomarkers vary for various reasons. Hence the Levine calculation will vary. My personal strategy is a multiple one including reviewing the reasons for biomarkers being out of kilter and trying to fix that.
Hi @RapAdmin, it’s a bit of a pain because all my biomarkers are in different units of measure. I’ll take another look at it and see if I can work it out when I get some time.
Hi @Kandice, yes I figured out that it should effectively be 0.01 instead of 0.1, but even with that alteration of the calculation, it didn’t make a huge difference to the outcome.
