In this article
The short answer: A biological age test estimates how fast or slow you are aging from a blood sample, most often using DNA methylation. It is a research tool whose results can shift between measurements and whose clock choice changes your number (Bell et al., 2019; Higgins-Chen et al., 2022). Fitness data such as VO2 max, grip strength, and walking speed are cheaper, repeatable, and tied to survival in large studies (Kodama et al., 2009; Mandsager et al., 2018; Leong et al., 2015). If you want one thing to act on, track fitness over time; treat a biological age test as an interesting extra, not a verdict.
- 01What Tests Measure
- 02Signal
- 03Reliability
- 04Fitness Data
- 05Misconception
- 06What To Do
- 07FAQ
- 08Key Takeaways
- 09References
What Does a Biological Age Test Actually Measure?
It measures a pattern in your biology that statistically tracks with age and health, then reports that pattern as a number of years. Most consumer tests read DNA methylation, chemical tags on DNA at thousands of sites. The first widely used "epigenetic clocks" were built to predict chronological age (Horvath, 2013; Hannum et al., 2013). Later clocks were trained on health outcomes instead, such as PhenoAge, which was built from clinical blood markers and mortality (Levine et al., 2018), and DunedinPACE, which estimates the pace of aging from decades of follow-up on 19 organ-system measures (Belsky et al., 2022).
Age-trained clocks
Built to match calendar age very closely. Good at estimating age, less clearly about how healthy you are (Bell et al., 2019).
Outcome-trained clocks
Built to predict mortality or healthspan, such as PhenoAge (Levine et al., 2018).
Pace-of-aging measures
Estimate how fast you are aging right now rather than a total age, such as DunedinPACE (Belsky et al., 2022).
For the underlying biology, see what epigenetic age means and whether it can be reversed.
Does a Higher Biological Age Predict Anything Real?
Yes, on average across groups of people. In four cohorts of older adults, each 5-year increase in the gap between methylation age and chronological age was linked to a 21 percent higher mortality risk after adjusting for age and sex (Marioni et al., 2015). Young adults also differ in biological aging well before midlife: in the Dunedin birth cohort, people of the same calendar age varied in a composite of 18 biomarkers, and faster agers were less physically able and looked older to independent raters (Belsky et al., 2015).
Caveat: group signal is not a personal reading
A clock that predicts risk across thousands of people can still be an unreliable instrument for one person on one day. Reviews note that no single measure is likely to be a gold standard of biological age, and that different predictors capture different aspects of aging (Bell et al., 2019; Jylhävä et al., 2017).
How Reliable Is Your Number?
Less than the single clean figure suggests. When researchers ran replicate samples through six prominent epigenetic clocks, technical noise produced differences of up to 9 years between replicates. Retraining the clocks on principal components brought most replicates within about 1.5 years (Higgins-Chen et al., 2022). Which test a provider uses, and whether it uses this kind of fix, matters. Different clocks also give different answers for the same person because they were trained on different targets (Jylhävä et al., 2017).
Questions to ask before trusting a result
Which clock is it?
Age-trained, outcome-trained, and pace-of-aging measures are not interchangeable.
Has it been checked for repeatability?
Replicate noise can be large for some clocks (Higgins-Chen et al., 2022).
What would change your behavior?
If no result would change what you do, the test adds cost without adding a decision.
Can you retest the same way?
Changes only mean something if the same method is used each time.
What Does Fitness Data Tell You Instead?
Fitness measures are direct, repeatable, and have a long record in outcome research. In a meta-analysis, each 1 MET higher level of cardiorespiratory fitness (about 3.5 mL/kg/min of VO2) was associated with a 13 percent lower risk of all-cause mortality (Kodama et al., 2009). In 122,007 adults who underwent treadmill testing, the lowest fitness group had about five times the mortality risk of the elite group, with no upper limit of benefit observed (Mandsager et al., 2018). The American Heart Association has argued that cardiorespiratory fitness should be treated as a clinical vital sign (Ross et al., 2016). Grip strength has a similar association with mortality (Leong et al., 2015).
Biological age test
One lab reading, a single number, hard to act on directly, and sensitive to the clock and the lab.
Fitness data
Repeatable, trendable, and each metric points at something you can train, such as aerobic base, strength, or muscle.
Fitness metrics are also observational evidence, so they show association rather than proof that raising them extends life. Wearable VO2 max numbers are estimates; lab test versus wearable estimate covers how far to trust them, and VO2 max and longevity goes deeper on the research.
What Is the Most Common Misconception?
That a younger biological age means you are aging well, or that an older one is a diagnosis.
Common misconception
"My test says I am 8 years younger, so my habits are working." The number depends on the clock and measurement noise, and it does not tell you which habit to keep or change. A rising VO2 max or stronger grip does. For the wider picture, see what healthspan means.
What Should You Do Next?
Spend effort where you can act, and treat the test as optional.
Pick two or three fitness measures
For example a VO2 max estimate or timed walk, grip strength or a standard lift, and resting heart rate.
Measure the same way every few months
Consistency matters more than precision. Same device, same protocol, similar conditions.
Act on the trend
Flat or falling strength or aerobic fitness is a cue to adjust training, sleep, or nutrition.
If you test biological age, retest with the same provider
Treat one result as a rough snapshot, and read changes cautiously given the noise in some clocks (Higgins-Chen et al., 2022).
Frequently Asked Questions
What is a biological age test?
A test that converts a biological pattern, usually DNA methylation in blood, into an estimate of how old your body seems or how fast you are aging (Horvath, 2013; Belsky et al., 2022).
Are epigenetic clocks accurate?
They estimate chronological age very well, but accuracy as a measure of personal aging rate is less settled, and replicate noise can be large for some clocks (Bell et al., 2019; Higgins-Chen et al., 2022).
Does biological age predict death?
On average, a higher methylation age than expected is associated with higher mortality risk in older cohorts (Marioni et al., 2015). That does not make it a precise forecast for one person.
Is VO2 max a better measure than biological age?
It is easier to repeat and to train, and it has strong association with mortality in large studies (Kodama et al., 2009; Mandsager et al., 2018). The two measure different things, so neither fully replaces the other.
Can I lower my biological age?
Some measures may shift with lifestyle, but a change in a test result is not proof of changed health outcomes. Focus on trainable inputs such as fitness, strength, and sleep.
What to remember
The short version.
- 1Biological age tests, mostly DNA methylation clocks, estimate aging from patterns that track with age and health (Horvath, 2013; Levine et al., 2018).
- 2A higher methylation age is linked to higher mortality on average across groups (Marioni et al., 2015).
- 3Individual results can be noisy; replicate differences of up to 9 years were found for some clocks (Higgins-Chen et al., 2022).
- 4Cardiorespiratory fitness and grip strength are repeatable and strongly associated with survival (Kodama et al., 2009; Mandsager et al., 2018; Leong et al., 2015).
- 5Track fitness trends, and use a biological age test, if at all, as an optional snapshot retested with the same method.
Keep reading
Related on Protocol
LearnHealth
What Epigenetic Age Means and Whether You Can Actually Reverse It
The biology behind methylation clocks.
LearnTraining
VO2 Max Lab Test vs. Wearable Estimate: What to Trust
How far to trust your fitness estimate.
LearnLongevity
What Healthspan Means and Why It Matters More Than Lifespan
The outcome that fitness data is really about.
Protocol
Track the fitness trend, not just one number.
Protocol puts your training, recovery, and fitness data in one place so you can see whether your aerobic base and strength are improving over months.
Get started freeReferencesSources
Key Studies
- Belsky et al. (2015) Proceedings of the National Academy of Sciences, volume 112, issue 30, pages E4104 to E4110. Quantification of biological aging in young adults in the Dunedin cohort.
- Belsky et al. (2022) eLife, volume 11, e73420. DunedinPACE, a DNA methylation biomarker of the pace of aging.
- Levine et al. (2018) Aging, volume 10, issue 4, pages 573 to 591. An epigenetic biomarker of aging for lifespan and healthspan (PhenoAge).
- Marioni et al. (2015) Genome Biology, volume 16, article 25. DNA methylation age of blood predicts all-cause mortality in later life.
- Higgins-Chen et al. (2022) Nature Aging, volume 2, pages 644 to 661. Principal component clocks that improve reliability of epigenetic clocks.
- Mandsager et al. (2018) JAMA Network Open, volume 1, issue 6, e183605. Cardiorespiratory fitness and long-term mortality in 122,007 adults undergoing treadmill testing.
- Leong et al. (2015) The Lancet, volume 386, pages 266 to 273. Prognostic value of grip strength in the PURE study.
Reviews and Guidelines
- Horvath (2013) Genome Biology, volume 14, R115. DNA methylation age of human tissues and cell types.
- Hannum et al. (2013) Molecular Cell, volume 49, issue 2, pages 359 to 367. Genome-wide methylation profiles reveal quantitative views of human aging rates.
- Bell et al. (2019) Genome Biology, volume 20, article 249. DNA methylation aging clocks: challenges and recommendations.
- Jylhävä et al. (2017) EBioMedicine, volume 21, pages 29 to 36. Biological age predictors: the status quo and future trends.
- Kodama et al. (2009) JAMA, volume 301, issue 19, pages 2024 to 2035. Meta-analysis of cardiorespiratory fitness as a predictor of all-cause mortality and cardiovascular events.
- Ross et al. (2016) Circulation, volume 134, pages e653 to e699. American Heart Association statement on assessing cardiorespiratory fitness as a clinical vital sign.