Who are the long sleepers? Towards an understanding of the mortality relationship
Open accessAbstract
While much is known about the negative health implications of insufficient sleep, relatively little is known about risks associated with excessive sleep. However, epidemiological studies have repeatedly found a mortality risk associated with reported habitual long sleep. This paper will summarize and describe the numerous studies demonstrating increased mortality risk associated with long sleep. Although these studies establish a mortality link, they do not sufficiently explain why such a relationship might occur. Possible mechanisms for this relationship will be proposed and described, including (1) sleep fragmentation, (2) fatigue, (3) immune function, (4) photoperiodic abnormalities, (5) lack of challenge, (6) depression, or (7) underlying disease process such as (a) sleep apnea, (b) heart disease, or (c) failing health. Following this, we will take a step back and carefully consider all of the historical and current literature regarding long sleep, to determine whether the scientific evidence supports these proposed mechanisms and ascertain what future research directions may clarify or test these hypotheses regarding the relationship between long sleep and mortality.
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Although some studies have suggested potential reasons why longer sleep durations may be harmful, the panel was unable to come to a consensus regarding biologically plausible pathways by which long sleep could explicitly cause poor health.
“Further, although some studies have suggested potential reasons why longer sleep durations may be harmful,114 the panel was unable to come to a consensus regarding biologically plausible pathways by which long sleep could explicitly cause poor health (acknowledging that biological plausibility depends on knowledge available at the time).”
There is still a lack of clarity on the biological plausibility of the long sleep relationship, although some ideas have been proposed.
“Also, there is still a lack of clarity on the biological plausibility of the long sleep relationship, although some ideas have been proposed.37,38”
From Sleep, Health, and Society (2017) · cites this paper as [38]
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Self-citationSleep and emotions: Bidirectional links and underlying mechanisms
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Sleep, Cognition, and Normal Aging
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Self-citationSleeping hours: what is the ideal number and how does age impact this?
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Sleep as a Potential Fundamental Contributor to Disparities in Cardiovascular Health
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Sleep duration and mortality in the elderly: a systematic review with meta-analysis
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“Although several studies have identified risks associated with long sleep duration [61], our study did not detect any such risks.”
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Self-citationChange in Sleep Duration and Cognitive Function: Findings from the Whitehall II Study
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Sleep duration, cardiovascular disease, and proinflammatory biomarkers
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Relationships among dietary nutrients and subjective sleep, objective sleep, and napping in women
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Self-citationSleep duration and all-cause mortality: a critical review of measurement and associations
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Self-citationMacro and micro sleep architecture and cognitive performance in older adults
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Sleep Duration and Mortality According to Health Status in Older Adults
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Long sleep duration: A risk to health or a marker of risk?
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Sleep Duration, Sleep Quality, and Markers of Subclinical Arterial Disease in Healthy Men and Women
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Association between Sleep Duration and the Mini-Mental Score: The Northern Manhattan Study
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Addressing sleep disturbances: an opportunity to prevent cardiometabolic disease?
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“This may be due to the fact that long sleepers tend to be individuals who have excessive sleep opportunity and frequently include individuals who are retired, unemployed, or disabled (Grandner & Drummond, 2007; Patel et al., 2012).”
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Update on Energy Homeostasis and Insufficient Sleep
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Long Sleep Duration is Associated With Serum Cholesterol in the Elderly: The Rotterdam Study
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- Authors
- Grandner, M. A., & Drummond, S. P. A.
- Affiliations
- San Diego State University (US)
- University of California San Diego (US)
- Corresponding author
- Grandner, Michael A.
- Venue
- Sleep Medicine Reviews
- Publisher
- Elsevier BV
- Published
- 2007-10
- Volume
- 11
- Issue
- 5
- Pages
- 341-360
- ISSN
- 1087-0792 (ISSN-L)
- PMC
- PMC3755488
- OpenAlex
- W1987857642
- Cited by
- 432
- References
- 106
- Citations by year
- 2026: 16 · 2025: 28 · 2024: 25 · 2023: 43 · 2022: 33 · 2021: 39 · 2020: 33 · 2019: 24 · 2018: 26 · 2017: 27 · 2016: 25 · 2015: 24 · 2014: 15 · 2013: 32 · 2012: 10
- FWCI
- 1.16
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Sleep Medicine Reviews (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (T32HL007713)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- long sleep, excessive sleep, mortality risk, sleep duration, sleep fragmentation, fatigue, immune function, depression, sleep apnea, heart disease
- MeSH terms
- Depression, Fatigue, Female, Health Status, Heart Diseases, Humans, Male, Risk Factors, Sleep, Sleep Apnea Syndromes, Sleep Wake Disorders, Sleep Stages, Comorbidity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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