#386 - Aging clocks—what they measure, how they work, and their clinical and real-world relevance

The Peter Attia Drive

Peter Attia, MD

Fitness, Health & Fitness, Medicine

4.3 • 9K Ratings

🗓️ 6 April 2026

⏱️ 43 minutes

🔗️ Recording | iTunes | RSS

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Summary

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In this episode, Peter takes a deep dive into the science and application of aging clocks, unpacking what they are, the differences between chronological age, biological age, and the pace of aging, and what epigenetic clocks may actually be measuring. He explores key research in the field, including a randomized controlled trial that tested simple lifestyle interventions against several commonly used aging clocks, as well as a study using brain MRI to assess the pace of aging and its relationship to dementia risk and mortality. Throughout the episode, Peter highlights the promises and pitfalls of these tools, ultimately focusing on the field's central question: whether improving an aging clock score truly translates into meaningful clinical outcomes.

We discuss:

Why aging clocks are being used as proxies for long-term health outcomes and the uncertainty surrounding their clinical value [2:00];
How aging clocks use DNA methylation to predict age and how they compare to traditional mortality prediction models [5:00];
The shift from aging clocks that predict chronological age to newer models that aim to measure biological age, lifespan differences, and the pace of aging [11:45];
The limitations of second-generation aging clocks: biological and measurement noise affecting reliability and interpretation [14:45];
Why aging clocks are exciting tools—compression, speed, and individual feedback [17:15];
The DO-HEALTH randomized trial: the study design and how different aging clocks were used to measure biological age and the pace of aging [22:00];
The DO-HEALTH study results: findings, takeaways, and open questions [27:45];
The DunedinPACNI study: how the model was developed and what it may add to the field [35:00];
The promise and limitations of aging clocks in measuring meaningful biological aging and predicting health outcomes [48:00];
Why aging clocks are not yet reliable as consumer tools and why traditional health metrics still matter most [52:00]; and
More.

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Transcript

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0:00.0	Hey everyone. Welcome to the Drive podcast. I'm your host, Peter Attia. This podcast, my website, and my weekly newsletter all focus on the goal of translating the science of longevity into something accessible for everyone.
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1:01.6	subscribe. Welcome to a special episode of The Drive. In this episode, I take a different approach
1:10.0	where I walk through a single topic in depth.
1:13.2	And this is a topic that many of you have been asking about, aging clocks. So in this episode,
1:18.5	I explain what aging clocks are and the difference between chronological age and biological age,
1:24.3	along with the difference between those and something called the pace of aging,
1:28.2	how epigenetic clocks work and what they may actually be measuring. I'm going to talk about a
1:33.1	randomized control trial that used three very simple interventions and tested four of the most
1:38.4	common aging clocks. I'm going to also talk about another study that used brain imaging via MRI to study the pace of aging and see what could be gleaned about not just the risk of dementia, but also mortality.
1:54.0	I'll discuss the biggest limitation in the field, which is whether changing a clock actually changes meaningful clinical outcomes.
2:02.4	So without further delay, I hope you enjoy this special episode of The Drive.
2:11.3	So if you wanted to run the perfect anti-aging trial, you know, the endpoints would be really obvious. You know, you'd
2:18.5	want to see fewer heart attacks, fewer cancers, fewer dementia diagnoses, and ultimately fewer deaths.
2:25.4	So we would call these hard outcomes, real outcomes that matter. These are the clinical outcomes
2:30.4	that we all care about. Now, of course, the reason we don't see these trials is that they
	...

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