Opens the sleep cluster. Both short and long sleep are associated with higher mortality — a U-curve around a ~7-8 h reference. But the two arms are not the same kind of finding, and reading them as one (any deviation from 7-8 h shortens life) is the error this page exists to prevent.

The U-curve — two arms, very different footing

Arm (vs ~7-8 h reference)Pooled RR (95% CI)HeterogeneitySource
Short sleep (commonly <7 h, often <5 h)1.12 (1.06-1.18)I2 = 39%Cappuccio
Long sleep (commonly >8-9 h)1.30 (1.22-1.38)I2 = 71%Cappuccio

(Cappuccio et al., 2010)

16 studies, 27 cohorts, 1.38 million people, 112k deaths, all-cause mortality; reference «7 to 8 h per night». Short-follow-up studies (<3 y) were «excluded a priori… to avoid measurements of sleep duration being too close to the time of death» — a reverse-causation guard applied to all studies, i.e. both arms (corrected 2026-10-22: previously described as a guard on the short arm only).

The asymmetry is the finding — one arm is likely causal, the other a marker of illness

The long-sleep arm is the larger association and the weaker claim — an instance of The U-Shaped Association Artifact in its reverse-causation form. Cappuccio adjudicates it directly:

«no studies published to date have demonstrated a possible mechanism mediating the effect of long duration of sleep as a cause of morbidity and mortality. The association between long duration of sleep and mortality may be explained by residual confounding and co-morbidities.»

Named confounders/reverse-causes: «depressive symptoms, low socio-economic status, unemployment, low level of physical activity, undiagnosed health conditions, poor general health, and cancer-related fatigue». The authors’ framing: long sleep «may be a powerful additional marker of ill-health» and «sleeping 9 h or more per night may represent a useful diagnostic tool for detecting subclinical or undiagnosed co-morbidity». (Cappuccio et al., 2010)

Three features are consistent with an artifact (none discriminating on its own) — each is what the concept says to look for, but each also fits a causal reading:

  • it is the larger association (1.30 vs 1.12) yet the one with no mechanism;
  • it has much higher heterogeneity (I2 71% vs 39%);
  • it strengthens with age and with a longer cutoff — «stronger in older than younger cohorts» (>=60 y RR 1.46 vs <60 y 1.22) and rising «>8 h, >=9 h… >=10 h» (>=10 h RR 1.54) — consistent with a frailty/illness gradient, though a larger RR at a more extreme cutoff is also what a causal dose-response predicts; Cappuccio’s own reading of the East Asian long-arm excess (below) runs through deaths in elderly participants, an age account (frailty is the wiki’s gloss, not Cappuccio’s word) that fits the artifact reading rather than discriminating it. The short arm, by contrast, shows no significant subgroup difference (age, sex, SES, cutoff, follow-up, geography; cutoff heterogeneity P=0.89; geography P=0.31), though subgroup point estimates range 1.09-1.25 with wide CIs (e.g. <=6 h 1.19, 0.90-1.56; East Asia 1.25, 1.07-1.46). (Cappuccio et al., 2010)

The authors still read a geographic signal in both arms despite the non-significant short-arm test:

«There was some indication that the mean effects for both short and long duration of sleep were stronger in studies carried out in East Asia, predominantly Japan. The explanations may be different.» (Cappuccio et al., 2010)

«For long sleep, the stronger association with mortality may, al least in part, be the result of longer life expectancy in countries like Japan compared to Europe and the US. It is likely that the shape of the relationship between sleep dura­ tion and mortality is heavily influenced by deaths in elderly participants. This view is supported by a stronger effect of long duration of sleep on all-cause mortality in older cohorts (≥ 60 years).» (Cappuccio et al., 2010)

(corrected 2026-10-22: previously Three tells confirm the long arm is artifact-shaped and a frailty/illness gradient, not a physiological dose-response — these features do not discriminate artifact from cause; the discriminating checks are Wang’s MR nulls, Livingston’s 5-year-exclusion attenuation and Yin’s incidence-restricted null long arm, all below. Also added Cappuccio’s East Asia qualifier, which covers both arms, not the long arm only. Amended same day: the subgroup sentence previously said Cappuccio offers a non-artifact reading of one subgroup, resting on a life-expectancy quote cut before Cappuccio’s elderly-deaths and older-cohort sentences; the full passage is an age/frailty reading.)

The short-sleep arm has the causal footing the long arm lacks. It carries a named mechanism — «reciprocal changes in circulating levels of leptin and ghrelin… increase appetite, caloric intake, reduce energy expenditure… impaired glycemic control with increased cardiovascular risk», plus cortisol, growth hormone, and low-grade inflammation — and cause-specific directional evidence from Whitehall II: those who curtailed sleep died «predominantly from cardiovascular causes (2.04)» while those who increased sleep died mainly of «non-cardiovascular» causes (2.06) — the pattern expected if short sleep is causal and long sleep tracks illness. (Cappuccio et al., 2010)

The same arm-asymmetry replicates on the COGNITION/dementia endpoint (different outcome, same shape) . A gold sleep -> cognition SR+MA (Zhang 2025) finds the long arm again the larger, mechanism-poor, age-dependent one for dementia/AD — long sleep (> 8 h) is associated with all-cause dementia, AD and cognitive decline, while short sleep (< 7 h) is associated with cognitive decline but not with all-cause dementia/AD (Zhang’s Results: cognitive decline RR 1.27 short vs 1.23 long, overlapping CIs); long sleep reads as an APOE-driven preclinical marker (reverse causation), unadjudicated by any strong check (corrected 2026-10-22: previously said short sleep does not drive the cognition endpoint, omitting that it is associated with cognitive decline; corrected again 2026-10-22: dropped the arm that primarily raises cognitive-decline risk — 1.27 vs 1.23 cannot support primarily, and Zhang reports long sleep raising cognitive decline too). So the mortality U’s long arm is a marker of illness reading transports to dementia -> Sleep and Cognitive Decline, Dementia Prevention and Modifiable Risk Factors.

Caveat on the leptin/ghrelin mechanism — the RCT evidence does not confirm it. The appetite-hormone axis cited above is the popular explanation; a meta-analysis of sleep-manipulation RCTs found no significant pooled effect of sleep restriction on leptin or ghrelin, and reports Chaput & St-Onge’s view that hedonic factors are likely stronger (corrected 2026-10-22: the hedonic conclusion is Chaput & St-Onge’s, cited by Capers, not Capers’ own). Sleep restriction appears to raise food intake experimentally, and the hormonal route is unconfirmed (few small, heterogeneous trials, with opposite-signed ghrelin results and a total-ghrelin assay the authors say limits interpretation) — so hold leptin/ghrelin as a discounted mechanism, not a demonstrated one -> Sleep and Metabolic Health (Capers 2015, where this refinement and the T2D/adiposity evidence live). (corrected 2026-10-22: previously does not support it, does reliably raise food intake and not via the hormonal route — a null from few heterogeneous trials is insufficient evidence, not a demonstrated exclusion, and Capers’ Conclusions say only that the experimental literature suggests the intake rise.)

Second outcome — dementia, and the arm-level split partly replicates

The 2024 Lancet Commission examined sleep as a candidate dementia risk factor and its verdict is consistent with this page’s arm-level asymmetry on the long arm, but stops short of a causal short arm -> The U-Shaped Association Artifact (corrected 2026-10-22: previously said the verdict reproduces the asymmetry exactly). The long-sleep arm reads as reverse causation: «further evidence indicates that prolonged sleep is not a risk factor for dementia, although dementia and its prodrome may cause prolonged sleep. People should not curtail their sleep to reduce dementia risk.» (Livingston et al., 2024) The tell is decisive — a Swedish cohort’s long-sleep/dementia association «was completely attenuated after cases occurring in the first 5 years of follow-up were excluded», the signature of reverse causation. The short-sleep arm is a small association the Commission judges insufficient (million-woman study RR 1.08, 1.04-1.12 for <7 h; persistent <=6 h at 50/60/70 a «30% increased dementia risk»): «Overall, current evidence appears to indicate that short sleep duration may be associated with a small, increased risk of dementia but there is a lack of evidence about the characterisation of short sleep, and no information on sleep quality or circadian rhythm disturbance which may be the factors associated with increased risk of developing dementia rather than length of sleep. Therefore, the evidence about short sleep has not yet been clarified enough to be sure of causation.» It lists «too little sleep» among factors with «not enough consistent evidence to meet our high bar of being included as modifiable risk factors», and states «We are unable to make recommendations on sleep as a risk factor.» (Livingston et al., 2024) So dementia adds a second outcome where the long arm does not look causal, but it does NOT add a causal short arm (corrected 2026-10-22: previously called the short arm mechanism-backed and dementia an outcome where the short arm looks causal; the Commission’s mechanisms paragraph concerns sleep disturbances generally, not short duration). The Commission declined to list sleep as a modifiable risk factor — while still advising against curtailing sleep — an insufficient-evidence stop the wiki mirrors (corrected 2026-10-22: previously said it declined to make any sleep-duration recommendation).

Third outcome — CVD events (CAD/HF/stroke), and the MR strong check lands [2026-09-02, Wang] type-F

Cappuccio’s evidence above is all-cause mortality; Yin covers all-cause mortality plus total CVD, CHD and stroke, pooling CVD events reported as incidence or mortality (and stratifying by that variable — below). (corrected 2026-10-22: previously said the held sleep-CVD evidence was mortality-only (Cappuccio, Yin) — Yin is the one held source that separates incidence from mortality.) Wang 2022 — a meta-review that accepts the conclusions of four observational MAs (without re-pooling them) and meta-analyses 11 Mendelian-randomization (MR) studies — adds CAD/CHD, HF and stroke endpoints AND supplies the genetic strong check the causal-vs-marker split above rested on argument for. Referent 7 h throughout.

Observational CVD events (incidence + mortality pooled) — the same U/J the mortality curve shows. (corrected 2026-10-22: previously labelled Observational CVD incidence; Wang defines stroke as «ischemic and hemorrhagic strokes that are fatal or non-fatal» (Wang et al., 2022), so these pools mix fatal and non-fatal events.) CHD is U-shaped (Wang D. 2016, AMSTAR 11): vs 7 h, per 1 h reduction RR 1.11 (1.05-1.16) and per 1 h increment RR 1.07 (1.00-1.15), both with high heterogeneity (I2 59-71%). Stroke is J-shaped (He 2017, 16 cohorts, 528,653): per additional hour RR 1.13 (1.07-1.20), the long arm steep (9 h 1.45, 10 h 1.64). (Wang et al., 2022)

The MR causal check — MR supports a probable causal role for short sleep in CAD/MI/HF (not stroke; mortality untested). (corrected 2026-10-22: heading previously short sleep is CAUSAL, and it is the arm with the mechanism — stronger than Wang’s own «accumulating» / «may be» wording, and silent on the short-sleep nulls below.) Genetically-predicted short sleep raises CAD (pooled IVW OR 1.24, 1.15-1.34), MI (OR 1.20, 1.12-1.28), and HF (both MR studies positive; Zhao IVW OR 1.14, 1.03-1.26); per-hour longer genetically-predicted sleep is protective for CAD (OR 0.74, 0.59-0.92) and MI (OR 0.84, 0.73-0.97). Wang’s verdict: «evidence is accumulating that short sleep duration is a causal risk factor for CAD and HF», and «short sleep duration rather than long sleep duration is associated with the risk of CAD or HF». (Wang et al., 2022)

The short arm has its own nulls and hedges, which bound that verdict:

  • Stroke is null for short sleep too: «no causation was found between short sleep duration and any ischemic stroke (AIS; OR = 0.97, 95% CI = 0.86–1.10, P = 0.64) and primary intracranial hemorrhage (ICH; OR = 0.81, 95% CI = 0.53–1.24, P = 0.33)» (Wang et al., 2022)
  • Two CHD MRs were inconsistent, which Wang attributes to power: Zhuang et al. and Liao et al. «reported inconsistent results for the causal association between short sleep duration and CHD. The limited number of genetic variants used in these studies may have reduced the statistical power of the MR estimates.» (Wang et al., 2022)
  • Wang’s own conclusion is hedged and leaves mortality open: «short sleep duration may be a causal risk factor for many CVDs», and «The causal associations of short and long sleep durations with the risks of stroke and mortality need further investigation.» (Wang et al., 2022)

(corrected 2026-10-22: these short-sleep nulls and hedges were previously omitted while the long-sleep nulls were reported — scrutiny had been applied to one arm only.)

The MR does NOT support long-sleep causality — but that is insufficient evidence, not a demonstrated null. Neither MR study found a causal CAD association for long sleep, both HF MR studies were null, and stroke was null — Wang states «long sleep duration has no causal associations with stroke and CAD in the MR studies». This is the arm the observational curve most inflates: Wang attributes the long-sleep observational signal to long sleep being «a surrogate risk indicator for poor health status or sleep quality» and associations that «may have been confounded by these unmeasured factors and reflected potential reverse causality». But the MR long-sleep nulls are underpowered, not decisive — the genetic instruments for long sleep are few (one MR did «no analysis» for want of SNPs), and Wang concedes «MR studies … did not provide sufficient evidence supporting the causal association between long sleep duration» and «No clear experimental evidence shows the harmful effects of long sleep duration». So the long arm moves from argued-artifact toward genetically-unsupported, without a demonstrated no-effect -> The U-Shaped Association Artifact (this is the strong check that instance awaited). (Wang et al., 2022)

Decision refinement. For a short sleeper (<7 h), the causal footing is now stronger for CAD/HF — MR converges with the mechanism and Whitehall direction, so extending toward 7-8 h is a lever with genetic support for CAD/HF; MR does not test adult sleep extension (it estimates lifelong genetic liability) or mortality, and Wang itself calls extension «a potentially promising strategy» (corrected 2026-10-22: previously a lever with genetic support without the outcome and design limits). For a long sleeper, the genetic check gives no reason to treat long sleep as a modifiable cause, so shortening a long sleeper’s sleep is not a supported lever. Wang’s own long-sleeper sentence says something different — it advises against telling long sleepers to sleep more, not to sleep less: «For people who have a long sleep duration, we should not directly recommend increasing sleep duration to reduce the risk of CVDs» (Wang et al., 2022) (corrected 2026-10-22: this quote was previously cited as warrant for don’t shorten; it speaks only against lengthening). NOT an independent-E corroboration of Cappuccio: Wang does not re-pool the cohorts — «we accepted the conclusions of the meta- analyses of observational studies rather than performing a meta-analysis» — but the MAs it accepts rest on the same overlapping observational cohorts, so the observational agreement is shared-base, not independent; the beyond-summary value is the MR method leg (a genetic natural experiment) triangulating the same question.

(inferred from Wang et al., 2022)

Duration is not the only axis — two facets now sit under this nucleus

  • Regularity may be the stronger lever. Objective accelerometry shows day-to-day consistency of sleep timing (Sleep Regularity Index) out-predicts duration for mortality in the same cohort — a distinct exposure the duration-centric guidelines miss -> Sleep Regularity and Mortality.
  • Treatment is its own decision. Once insomnia is present, the choice among CBT-I, hypnotics and melatonin turns on harm + durability, not sleep-number effect size -> Sleep Aids and Insomnia Treatment. (inferred from Windred et al., 2023)

Decision relevance

  • The actionable arm is short sleep. Chronic short sleep (roughly <=5-6 h) carries the excess; 6 h is ~1.01 vs 7 h (Yin). The pooled ~12% (Cappuccio, «if causally related») is a shortest-vs-referent figure, not a per-person risk for 6-7 h sleepers. The causal case rests on MR for CAD/HF plus the Whitehall direction; the named leptin/ghrelin mechanism is unconfirmed in RCTs (above). A lever worth pulling toward ~7-8 h for the chronically short. (corrected 2026-10-22: previously Chronic short sleep (<7 h, especially <5 h) carries a real ~12% higher mortality with a plausible causal mechanism — dropped Cappuccio’s «if causally related» and attached the pooled figure to the 6-7 h band the Yin section below resolves as ~1.01.)
  • Sleep less to live longer is not supported. The 30% long-sleep risk is most plausibly a marker of underlying illness (no MR support for causation, though underpowered; incidence-restricted signal null in Yin); shortening a long sleeper’s sleep is optimising a symptom, not the cause. A habitual long sleeper is a candidate for evaluation of occult illness, not a sleep-reduction target. (corrected 2026-10-22: previously mostly a marker — the page holds the long arm as insufficient evidence, not a settled artifact.)
  • The reference is ~7-8 h, and the curve is shallow near it — precision beyond “adequate, not chronically short” is not warranted by this evidence.

(inferred from Cappuccio et al., 2010) «if causally related» (Cappuccio et al., 2010); 6 h ~1.01 (Yin et al., 2017).

“7-8 h” is a referent, not a validated target with an upper bound [2026-08-07, maintainer challenge]

Three honest limits on reading aim for 7-8 h off this evidence:

  • The short arm is POOLED and flat across cutoffs, so 6-7 h is not resolved from <5 h. Cappuccio’s short-sleep category bundles 6-7 h with chronic <5 h, and the short-arm RR is flat across cutoff definitions (heterogeneity P=0.89, above). So ~1.12 is the pooled short-sleep RR — not evidence that 6-7 h specifically carries it; the risk most plausibly concentrates at chronic short sleep (<5-6 h), making the lower bound arguably 6+ h, not a hard 7 h. (12% is also small for an observational metric, near the range residual confounding alone can produce; it is believed over the long arm only because it carries a mechanism + the Whitehall cause-specific direction, not because 12% is itself compelling.)
  • No evidenced harm at the upper end — so “up to 8 h” is not a ceiling. The long-sleep association is most plausibly a reverse-causation/confounding artifact (no MR support for causation, underpowered; incidence-restricted signal null in Yin), NOT evidence that sleeping 8+ h harms a healthy person (corrected 2026-10-22: previously is the reverse-causation artifact — the page holds the long arm as insufficient evidence, not a demonstrated null). Stating an upper bound launders that artifact into a dose-response cap — and the page’s own rule already holds that shortening a long sleeper’s sleep optimises a symptom, not a cause.
  • Between ~7 and 8 h is most plausibly diminishing returns, not a knee or a harm boundary. The curve is shallow near the referent; precision beyond adequate, not chronically short is not warranted, and neither is a stated upper cap. (inferred from Cappuccio et al., 2010)

The sub-7 h band, RESOLVED — Yin’s per-hour curve [2026-08-13, Yin] type-F

Cappuccio pools all short sleep into ONE flat category (1.12, invariant across cutoffs, P=0.89), so it cannot say whether 6-7 h carries the penalty or only chronic <5 h. Yin 2017 — a larger dose-response SR+MA (67 articles, 141 reports, 3.58 M participants; restricted-cubic-spline, 7 h reference) — resolves the arm per discrete hour. This is a claim-refinement (type-F), not independent backing: same design class (SR+MA of self-reported prospective cohorts), same outcome, overlapping cohort base — Yin disaggregates the quantity Cappuccio pooled.

ParameterCappuccio 2010 (pooled)Yin 2017 (per-hour spline)Same quantity?
Outcomeall-cause mortalityall-cause mortalityyes
DesignSR+MA, prospective cohortsSR+MA dose-response, prospective cohortsyes
Exposureself-reported sleepself-reported sleepyes
Reference7-8 h band7 h point (8 h already 1.04)~yes — Yin’s 8 h is slightly above nadir, so the bands differ marginally at the top edge
Short armONE pooled 1.12 (1.06-1.18), flat across cutoffs6 h 1.01, 5 h 1.04, 4 h 1.08, 3 h 1.12 (1.10-1.14)no — Yin resolves what Cappuccio pools (the refinement)
Long armONE pooled 1.30 (1.22-1.38)9 h 1.15, 10 h 1.32 (1.29-1.35), 11 h 1.53 (1.47-1.59)no — same disaggregation; Cappuccio’s 1.30 sits at ~10 h

(Yin et al., 2017)

What the resolution shows (all-cause): the short-arm penalty is concentrated at chronic short sleep. 6 h is barely above the 7 h nadir (1.01, CI 1.00-1.01), 5 h is 1.04, and the arm steepens only below ~5 h (3 h 1.12) — so Cappuccio’s pooled short-sleep RR is most plausibly driven by chronic short sleep rather than the 6-7 h band, though Cappuccio’s own cutoff subgroups do not show that concentration (<=5 h 1.12, 1.05-1.18; <=7 h 1.11, 1.00-1.22) (Cappuccio et al., 2010) (corrected 2026-10-22: previously necessarily driven by the chronic-short (sub-5 h) studies). (Cappuccio’s pooled 1.12 and Yin’s 3 h spline point coincide numerically but are different quantities — a shortest-vs-referent pool vs a per-hour estimate — so the shared finding is the concentration, not the number.) This cashes this page’s own hypothesis (the referent-not-target section above: the risk most plausibly concentrates at chronic short sleep, making the lower bound arguably 6+ h) with numbers. The steep, asymmetric long arm (9 h 1.15 -> 11 h 1.53) reconfirms the arm-asymmetry framing: the larger association is the long-sleep one, and it still has no mechanism.

  • Outcome-specific shape. CHD is the exception — a steeper short arm (4 h 1.16, CI 1.09-1.23) with the nadir nearer 7 h; stroke has the flattest short arm (4-6 h CIs cross 1.00) and the steepest long arm (10 h 1.64, CI 1.47-1.82). Read the curve per outcome, not one U for all.
  • What Yin does NOT close. Exposure is still self-reported — «nearly all studies relied on sleep duration that was self-reported by questionnaire or interview» (Yin et al., 2017) — so this resolves the shape, not the measurement-error limit, and the AASM-guideline / objective-actigraphy AWAITS below still stand. Yin has no referent-correction and no MR, but it does run one stronger-than-adjustment check — the incidence-vs-mortality split below (corrected 2026-10-22: previously weak-checks-only (multivariable adjustment; no referent-correction, no MR), which missed that split); the long arm stays a not-fully-adjudicated The U-Shaped Association Artifact instance. Publication bias touches both arms but on different quantities: Egger flagged long-sleep/total-CVD (longest-vs-reference, original 1.36, 1.26-1.48) and short-sleep/all-cause (per-hour dose-response, original 1.06, 1.04-1.07), both at P=0.01. Trim-and-fill shrank the long-arm estimate — «The analysis suggested that the imputed risk estimate was 1.22 (95% CI, 1.12–1.32), which is slightly decreased in risk but still identical to our original risk estimate.» — and moved the short-arm per-hour estimate to «1.04 (95% CI, 1.03–1.06), which is identical to our original risk estimate» (Yin et al., 2017). Because the two flagged estimates are different quantities, this neither singles out the long arm nor shows symmetric bias; if anything the long arm’s correction was the larger (corrected 2026-10-22: previously said both survived trim-and-fill unchanged and that the bias cuts symmetrically).
  • Incidence vs mortality — the long arm appears only once events are fatal. Stratifying CVD studies by outcome type, the long arm is flat on incidence and present on mortality: «Heterogeneity was indicated (P<0.01) when we stratified studies by incidence or mortality, and the pooled RRs for 1-hour increment in long sleep duration were 1.00 (95% CI, 0.97–1.03; n=6) and 1.15 (95% CI, 1.12–1.16; n=16) for incidence and mortality, respectively. In the nonlinear analysis restricted to studies that reported the incidence of total CVD, there was no significantly increased risk of total CVD at the extreme sleep duration, whereas the U-shaped association was more pronounced among the studies that reported mortality of total CVD (Figure S8).» CHD repeats it: long-sleep «1.01 (95% CI, 0.97–1.07; n=12) and 1.13 (95% CI, 1.06–1.20; n=7) for incidence and mortality, respectively». (Yin et al., 2017) The short arm also weakens on incidence: per-hour total CVD incidence 1.02 (0.98-1.07) vs mortality 1.08 (1.04-1.11); CHD incidence 1.04 (1.00-1.10, borderline) vs mortality 1.10 (1.02-1.17) — but unlike the long arm the incidence-vs-mortality split is not significant for the short arm (between-subgroup Phet 0.10 CVD, 0.42 CHD; long arm 0.00 and 0.03). (Yin et al., 2017) Reading: this supports the long-arm-as-marker reading (signal appears once disease turns fatal, as reverse causation predicts); for the short arm, a CVD-onset association is not clearly present in these cohorts (incidence CIs 0.98-1.07 and 1.00-1.10), yet the non-significant split means they do not show onset to be weaker than the fatal outcome either, so the short-arm causal case for CAD/HF rests on the MR above, not on these cohorts. (corrected 2026-10-22: previously said the incidence data weakens any observational claim that short sleep causes CVD onset.)

Limits

  • All exposure is self-reported, single-timepoint — «sleep questionnaires» that often «did not allow… to differentiate time asleep from time in bed» -> Measurement Error in Dietary Assessment (same instrument problem, different domain).
  • Observational meta-analysis — cannot control confounding by construction; «residual confounding and bias remain a possibility». The causal reading of the short arm rests on mechanism + the Whitehall decomposition, not on the pooled association alone.
  • Four sources, no guidance family — Cappuccio, Yin and Wang rest on self-reported exposure and overlapping cohorts; the Livingston Commission adds an outcome (dementia), not an objective exposure measure; no guideline family or device-measured (actigraphy) duration cohort held; self-report is the binding limit (corrected 2026-10-22: previously single source). AWAITS an objective-measurement sleep source and a guideline (AASM) for the recommendation-level read.
  • Coherence, not validity (R1): the association is what the cohorts report; the causal split between arms is the authors’ mechanistic argument, not a settled fact.

(inferred from Cappuccio et al., 2010)

References

Cappuccio, F. P., D’Elia, L., Strazzullo, P., & Miller, M. A. (2010). Sleep Duration and All-Cause Mortality: A Systematic Review and Meta-Analysis of Prospective Studies. Sleep, 33(5), 585–592. https://doi.org/10.1093/sleep/33.5.585
Livingston, G., Huntley, J., Liu, K. Y., Costafreda, S. G., Selbæk, G., Alladi, S., Ames, D., Banerjee, S., Burns, A., Brayne, C., Fox, N. C., Ferri, C. P., Gitlin, L. N., Howard, R., Kales, H. C., Kivimäki, M., Larson, E. B., Nakasujja, N., Rockwood, K., … Mukadam, N. (2024). Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission. The Lancet, 404(10452), 572–628. https://doi.org/10.1016/s0140-6736(24)01296-0
Wang, S., Li, Z., Wang, X., Guo, S., Sun, Y., Li, G., Zhao, C., Yuan, W., Li, M., Li, X., & Ai, S. (2022). Associations between sleep duration and cardiovascular diseases: A meta-review and meta-analysis of observational and Mendelian randomization studies. Frontiers in Cardiovascular Medicine, 9. https://doi.org/10.3389/fcvm.2022.930000
Windred, D. P., Burns, A. C., Lane, J. M., Saxena, R., Rutter, M. K., Cain, S. W., & Phillips, A. J. K. (2023). Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study. SLEEP, 47(1). https://doi.org/10.1093/sleep/zsad253
Yin, J., Jin, X., Shan, Z., Li, S., Huang, H., Li, P., Peng, X., Peng, Z., Yu, K., Bao, W., Yang, W., Chen, X., & Liu, L. (2017). Relationship of Sleep Duration With All‐Cause Mortality and Cardiovascular Events: A Systematic Review and Dose‐Response Meta‐Analysis of Prospective Cohort Studies. Journal of the American Heart Association, 6(9). https://doi.org/10.1161/jaha.117.005947