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Too Little or Too Much Sleep Is Linked to Faster Biological Aging, Study Finds
In A Nutshell
- Both sleeping too little (under 6 hours) and too much (over 8 hours) are linked to faster biological aging across multiple organ systems, not just the brain.
- Researchers identified a sleep sweet spot of roughly 6.4 to 7.8 hours per night, with the ideal range varying by organ and sex.
- Short sleepers had a 50% higher hazard of death during the study’s follow-up period; long sleepers had a 40% higher hazard, compared to those sleeping 6 to 8 hours.
- Short and long sleep appear to raise depression risk through different biological pathways, a finding that could eventually guide more targeted treatment approaches.
Most people know that pulling all-nighters is bad for them. But a sweeping new study suggests the effects of poor sleep run far deeper than dark circles and a foggy brain, showing up across the body at a biological level.
Researchers have mapped, in remarkable detail, how nightly sleep duration is associated with how quickly the body biologically ages, not just in the brain but across several organ systems at once. Published in Nature, the study used 23 biological “aging clocks” drawn from three types of body data: brain and organ scans, blood proteins, and chemical byproducts circulating in the bloodstream. In 9 of those 23 clocks, a recurring pattern emerged: both short and long sleep were linked to higher biological age gaps compared to people sleeping a normal amount.
According to the data, the sweet spot falls roughly between 6.4 and 7.8 hours per night, though the exact range shifted depending on the organ measured and whether the person was male or female. Sleeping outside that window, fewer than 6 hours or more than 8, was associated with elevated biological aging markers, higher disease risk, and a greater hazard of dying sooner. For the average adult who has told themselves five hours is “enough,” that finding carries some weight.
A Massive Dataset Behind the Sleep-Aging Link
This research came from an international team operating under the MULTI Consortium, which pooled data from multiple large population databases. Its backbone was the UK Biobank, a health research database drawing on around 500,000 participants between the ages of 37 and 84. Participants reported how long they typically slept each night, and researchers compared those figures against biological aging measurements derived from available MRI scans, blood protein levels, and chemical data from the blood.
To measure biological aging, the team used what scientists call “biological age gaps,” essentially a way of determining whether a person’s organs are functioning older or younger than their calendar age suggests. These gaps were calculated using 23 different aging clocks, each tuned to a specific organ system or data type, covering the brain, lungs, liver, immune system, skin, heart, pancreas, fat tissue, and more.
With data drawn from hundreds of thousands of participants, the researchers could detect subtle, curved patterns that smaller studies would miss.

Short Sleep and Long Sleep Affect the Body Differently
Short sleep and long sleep do not appear to affect the body the same way. Short sleep, defined as fewer than 6 hours, was associated with a wide sweep of health risks. Genetically, it showed ties to cardiovascular disease, type 2 diabetes, conditions like low back pain and osteoarthritis, and psychiatric conditions including depression, anxiety, and substance use disorders. When researchers tracked whether people actually developed diseases or died over time, short sleep was linked to higher risks of high blood pressure, irregular heart rhythms, asthma, obesity, and kidney disease, among others.
Long sleep, more than 8 hours, told a somewhat different story. Its genetic fingerprint was more concentrated in brain-related conditions, including major depressive disorder, schizophrenia, bipolar disorder, and ADHD. Sleeping too long may often signal that something is already going wrong in the body or brain, rather than acting as a direct risk factor the way short sleep appears to.
For death from any cause, both patterns carried elevated hazard compared to the 6 to 8 hour reference group. Short sleepers had a 50% higher hazard of death during follow-up; long sleepers had a 40% higher hazard.
Two Sleep Problems, Two Different Routes to Depression
Researchers also zeroed in on late-life depression to understand whether poor sleep’s connection to it ran through organ aging or more directly. Short sleep’s link to depression appeared largely direct, not passing through biological aging of organs as a go-between. Long sleep worked differently: its connection to depression appeared to run substantially through organ-level aging changes in the brain and fat tissue. Brain aging alone accounted for 62% of the total pathway linking long sleep to one subtype of late-life depression, a distinction that could shape how doctors approach intervention.
What This Means and What It Doesn’t
The researchers noted that self-reported sleep duration captures a different dimension of sleep than clinical measurements like lab-based sleep studies, with the two approaches correlating only moderately. The study also cannot fully rule out reverse causality, the possibility that underlying disease causes people to sleep more or less. While an analysis designed to test for direct genetic causation did not find strong evidence that disease causes abnormal sleep patterns, the researchers acknowledged that two-way effects remain possible.
Even so, the consistency of the findings across multiple organ systems, data types, and analytical methods gives the work notable strength. All results and code are publicly available through the SleepChart portal.
For the millions of adults who routinely sacrifice sleep to work longer or simply can’t quiet their minds at night, the data offers a sobering reminder: the body keeps score everywhere at once, not just in the brain, but in the blood, the gut, the lungs, and beyond.
Disclaimer: This article is based on a published scientific study and is intended for informational purposes only. It is not intended to serve as medical advice. Consult a qualified healthcare provider with any questions regarding sleep or related health concerns.
Paper Notes
Limitations
The study relied on self-reported sleep duration from a questionnaire rather than objective measurement methods such as laboratory-based sleep studies. The researchers noted that self-reported measures capture different but complementary aspects of sleep biology and correlate only moderately with objective measurements. Additionally, the MRI subsample of the UK Biobank over-represents healthier and more highly educated participants, which may affect certain findings, particularly those involving longer sleep duration. The study’s mediation analyses treated sleep duration as a modifiable risk factor but acknowledged that the data’s structure cannot fully rule out reverse causality, meaning underlying disease burden could influence sleep patterns rather than the reverse. Mendelian randomization analyses did not provide strong evidence for widespread causal effects of disease on sleep, but the researchers acknowledged this cannot completely exclude a bidirectional relationship. Two independent replication datasets used in sensitivity analyses were notably smaller (385 and 573 participants) and consisted of older populations than the main UK Biobank sample.
Funding and Disclosures
Primary funding came from the NIH-supported MULTI Consortium (grant RF1AG092412). Additional support was provided by the National Institute on Aging (grant RF1 AG054409), the Australian Research Council Future Fellowship (grant FT220100091), and the Intramural Research Program of the NIH National Institute on Aging. The study also drew on data from the UK Biobank, the FinnGen study, the Psychiatric Genomics Consortium, the Baltimore Longitudinal Study of Aging, and the Multi-Ethnic Study of Atherosclerosis, each supported by their respective funding bodies. The authors declare no competing interests.
Publication Details
Authors: The MULTI Consortium, Cliodhna Kate O’Toole, Zhiyuan Song, Filippos Anagnostakis, Zhijian Yang, Ye Ella Tian, Michael R. Duggan, Chunrui Zou, Yue Leng, Yi Cai, Wenjia Bai, Cynthia H. Y. Fu, Michael S. Rafii, Paul Aisen, Gao Wang, Philip L. De Jager, Jian Zeng, Hamilton Se-Hwee Oh, Xia Zhou, Keenan A. Walker, Daniel W. Belsky, Andrew Zalesky, Eleanor M. Simonsick, Susan M. Resnick, Luigi Ferrucci, Christos Davatzikos, and Junhao Wen (corresponding author). | Journal: Nature | Paper Title: “Sleep chart of biological ageing clocks in middle and late life” | DOI: https://doi.org/10.1038/s41586-026-10524-5 | Received: 26 June 2025 | Accepted: 10 April 2026 | Published online: 13 May 2026







