In 64,000 people, poor sleep showed no clear tie to aging

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In more than sixty-four thousand people, worse sleep came with a faster pace of aging. Five separate groups. Two different aging clocks. Ages eighteen to eighty-six. Then the same team compared identical twins to each other. The twin who slept worse was not aging faster.

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  1. 0:00In 64,000 people, poor sleep showed no clear tie to aging
  2. 0:16Worse sleep, faster pace of aging — in all five cohorts.
  3. 0:40CNN said it adds almost five years.
  4. 1:10How to run an experiment nature already ran.
  5. 1:40Randomised at conception.
  6. 2:10The twin who slept worse was not aging faster.
  7. 2:55Nobody has treated anyone’s sleep and looked again.
  8. 3:16The correlation is robust. The cause is not settled.
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In 64,000 people, poor sleep showed no clear tie to aging

medRxiv preprint · not peer reviewed 5 human cohorts N > 64,000 ages 18–86 2 aging clocks
The link held across five cohorts and two aging clocks; between identical twins, it disappeared.
Whitman et al. · medRxiv preprint, posted 2026-07-06 · DOI 10.64898/2026.07.02.26357135

In more than sixty-four thousand people, worse sleep came with a faster pace of aging. Five separate groups. Two different aging clocks. Ages eighteen to eighty-six. Then the same team compared identical twins to each other. The twin who slept worse was not aging faster.

Worse sleep, faster pace of aging — in all five cohorts.

1,207 midlife US adults
pace of aging read off a blood sample
β = 0.23
95% CI 0.18–0.29 · p < 0.001
per standard deviation of poorer sleep quality
59,844 UK Biobank adults · pace of aging read off a brain scan
00.51.01.52.046810121416lowest at 7.1 hoursaverage nightly sleep (hours)pace of aging (SD)
β = 0.36 · p < 0.001 · vertex 7.10 h · n = 59,844
cohort
who
clock
β
MIDUS
1,207 US adults, 26–86
blood methylation
0.23
UK Biobank
59,844 adults, 44–85
brain MRI
0.36
ADNI
759 older adults, mean 76
brain MRI
0.26–0.87
HCP
1,113 young adults, 22–37
brain MRI
0.08
E-Risk
1,657 eighteen-year-olds
blood methylation
0.07
5 cohorts
N = 64,580 · ages 18–86
2 clocks
p < .01
House rebuild of the fitted quadratic, Supplemental Figure S1 (not main Figure 2) · Whitman et al. 2026, medRxiv preprint (CC BY 4.0) · every value re-read against the PDF, pp. 5–8

In a new preprint, the team that built these clocks went looking for the cause. In twelve hundred American adults, they read a pace of aging off a blood sample. The worse people slept, the faster that pace ran. In fifty-nine thousand UK Biobank adults they read it off a brain scan instead. The line came out as a U, with seven hours at the bottom. And it was already there in eighteen-year-olds, before chronic disease starts.

CNN said it adds almost five years.

CNN 2023
“Sleep this way to add almost 5 years to your life”
New York Post 2023
“Getting a good night’s sleep can actually slow aging: new study”
Fox News 2026
“Missing sleep may take a hidden toll on your brain and longevity”
Mayo Clinic Press 2024
“Sleep and longevity: How quality sleep impacts your life span”
Columbia Neurology 2024
“How sleep can affect your longevity”
American College of Cardiology 2023
“Getting good sleep could add years to your life”
Buck Institute 2026
“How a Good Night’s Sleep is the Secret to Longevity”
All seven are the paper’s own references 9–16 — the claim the authors set out to test.
4
Genetics
Mendelian randomization
next
3
Twin against twin
does the link survive inside a family?
next
2
Not just sick people
long-sleep link, comorbidity-controlled: 0.27 → 0.25 · n = 38,559
holds
1
The correlation
5 cohorts · N = 64,580 · ages 18–86 · two clocks
holds
Chronic illness explains some of it, not all: in 983 midlife adults the link moves 0.14 → 0.10.
On trial: does poor sleep speed up biological aging?
Not on trial: whether sleep is good for you. The authors state it has documented benefits for memory, mood, cardiovascular health and immune function.

CNN said sleeping well can add almost five years to your life. Mayo Clinic and the Buck Institute say the same. And it survives the obvious objection. Sick people sleep badly, so the team controlled for chronic illness in thirty-eight thousand adults. The link barely moved. But all of this is still correlation. And the question here is narrow. Does sleeping badly actually speed up biological aging? Not whether sleep is good for you. The authors say plainly that it is, for memory, mood, your heart and your immune system.

How to run an experiment nature already ran.

shared by both twins
the same genome the same childhood home the same family the same neighbourhood
cancels out
what is left
how well they sleep
and twins really do differ in sleep quality — the authors checked that first (p.10)
A control group you never had to recruit.

So how do you test whether one thing causes another, when you cannot run the experiment? You find a place where nature already ran it. Identical twins share a genome. They share a childhood home, a family, a neighbourhood. Compare one twin against the other, and all of that subtracts out. It is the same on both sides, so it cancels. What is left is where they differ. And one of those differences is how well they sleep. The authors checked that part first, and twins really do differ. It is a control group you never had to recruit.

Randomised at conception.

A second natural experiment, and it runs even earlier.
a coin flip at conception
which variants you get
→
your gene variants
fixed for life — your aging cannot reach back and rewrite them
→
how well you sleep
the exposure under test
→
pace of aging
the readout
Mendelian randomization — the closest thing to a randomised trial that genetics allows
The weak spot: which variants you pick. And that is exactly where this paper splits in two.

There is a second natural experiment, and it runs even earlier. You get your genes at conception. Nothing you do changes them, and your aging cannot reach back and rewrite them. So the arrow only points one way. Take the gene variants that push people toward bad sleep. Ask whether the people carrying them age faster. That is Mendelian randomization. It is the closest thing to a randomised trial that genetics allows. Its weak spot is the variants you pick. And that is exactly where this paper splits in two.

The twin who slept worse was not aging faster.

Each cohort against itself, on its own clock
HCP · brain MRI clock · ages 22–37no effectbetween people0.08identical twins0.09fraternal twins0.120.000.100.20E-Risk · blood methylation clock · age 18no effectbetween people0.07identical twins0.02fraternal twins0.040.000.100.20association with pace of aging (SD per SD of poorer sleep)
1,944 twins · 18–37 years old · no within-pair estimate reached significance, and all four ranges cross zero
self-reported insomnia
gene variants from what people say about their sleep
244,436 people · 9 variants −0.09p = 0.50
~2,000,000 people · 105 variants 0.03p = 0.16
no effect detected
diagnosed in medical records
gene variants from clinical sleep-disorder diagnoses
1,042,390 people · 52 variants 0.07p = 0.02
370,640 people · 7 variants 0.04p = 0.04
faster pace of aging · CI 0.01–0.12
3
Twin against twin
a failure to find an effect, not proof there is none — 972 pairs, ages 18–37, and the authors call the evidence “weak” (p.10)
not detected
4
Genetics
null on self-reported sleep, positive on diagnosed sleep disorders
splits in two
House rebuilds of Figure 5 and Figure 6 from the published estimates · Whitman et al. 2026, medRxiv preprint (CC BY 4.0) · pp. 10–12

Take two identical twins. One sleeps badly, one sleeps well. The bad sleeper was not aging faster. They ran it four times, in identical and fraternal twins, across nineteen hundred people. The largest came out at point one two, and its range still runs through zero. Then the genetics. Variants for self-reported bad sleep showed nothing, in a quarter of a million people and again in two million. But sleep disorders diagnosed in medical records did. Across a million people, the carriers had a faster pace of aging. Point zero seven, and the range stays above zero. So the twins are a failure to find an effect, not proof there is none. These twins are eighteen to thirty-seven. In both groups the link was small to begin with. The authors call the evidence weak.

Nobody has treated anyone’s sleep and looked again.

5
Treat people’s sleep, then re-measure their pace of aging
nobody has run it — the authors call for exactly this trial (p.15)
missing
4
Genetics
null on self-reported sleep, positive on diagnosed sleep disorders
splits in two
3
Twin against twin
no association inside a twin pair, in four comparisons
not detected
2
Not just sick people
long-sleep link, comorbidity-controlled: 0.27 → 0.25 · n = 38,559
holds
1
The correlation
5 cohorts · N = 64,580 · ages 18–86 · two clocks
holds
The one positive genetic result pooled every sleep diagnosis together
insomniahypersomniasleep apneanarcolepsysleep terrorsnightmaressleep–wake disorders
Apnea drops your oxygen all night. Lying awake does not. Pulling those apart is the answerable question.

Nobody has improved a group of people's sleep and then re-measured their pace of aging. The authors ask for exactly that trial. And the one positive genetic result lumped every sleep diagnosis together. Insomnia. Apnea. Narcolepsy. Night terrors. Apnea drops your oxygen all night. Lying awake does not. Pulling those apart is the answerable question.

The correlation is robust. The cause is not settled.

“public health messaging that sleeping badly accelerates biological aging is not clearly supported by the data”
Whitman et al., p.15
DOI 10.64898/2026.07.02.26357135 · Whitman et al., medRxiv preprint, posted 2026-07-06 · not peer reviewed

In more than sixty-four thousand people, worse sleep tracked faster aging. In this preprint, neither test that could show cause gave a clear answer. In their words: public health messaging that sleeping badly accelerates biological aging is not clearly supported by the data.