The evidence is convergent. Multiple independent sources reach the same conclusion, the underlying mechanism is well-characterized, and even the field's most cautious voices treat it as worth doing.
here we have two scores we have your t score and the zcore the t score is the one that we use to screen if there's a possibility of suffering from oopen and osis where we're comparing the analysis of your full skeleton from your skull to your toes um and comparing it to a healthy 30-year-old so that way we can see if there's a noticeable loss of bone tissue where we see a potential risk for those conditions
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so what we say to patients is look we want your t-core to like if you show up with a decent tcore your tcore is zero and your zore score is plus you know8 we say the win is keeping that t-core where it is and letting and watching the zcore go up because over time we want you being better and better and better than your AG matched peers because they're going down and we're going to hold you plateau
the tcore is being compared to right at the start of that plot to the and this is the reason why they give us these two values is because it's thought that at any stage of your life if you are two and a half standard deviations away from uh the amount of bone that you probably started with then you are at increased risk of fracture
The Zed score is comparing your value to someone the same age and sex so compared to the average bmd of a 52y old white woman uh so that is if you're looking at the plot and you have the average score goes up like talking about in um uh if it doesn't go up because we start at age 20 it's pretty much plateauing and then it begins to go down so your score will be plotted on there age 52 if you went straight up to the average value that is what your uh bmd Zed score is being compared to
now they are that's essentially tcore is a standard deviation so what is that compared to your value is compared to a reference database and the t score is actually comparing your score to what they call a young normal uh it depends on the site but um and that does vary but let's just say it is roughly a 20y old between 20 and 30 uh of the same race and sex
The zcore is comparing you to your age. When I say the population, the T-core is comparing you to the young healthy individual.
What you really need to know is statistically where do you rank? And this is done via a t-core and a zcore. And this is done to compare you to a young healthy adult and to an adult that is your age.